Commodity Channel IndexThe Commodity Channel Index (CCI) is a technical indicator that measures the strength of the momentum in the market, it is calculated using a Moving average (default 20 SMA, users can change the legth and the type of the MA from dashboard) using formula: cci = (src - ma) / (0.015 * ta.dev(src, ccilength)).
When CCI is under -100 that indicates a strong downtrend, and above +100 level a strong uptrend, above 0 level a bullish trend start and bellow 0 level bearish momentum.
Crossing back above -100 and bellow + 100 levels not means it is a reversal of the trend, could be just a pullback or a bounce before trend continuation.
The indicator display on the main chart a color coded moving average with the length and type selected by users for CCI calculation.
The CCI Moving average and the CCI lines in oscillator are both color coded :
1. CCI and MA both red = > Bearish trend
2. CCI and MA both green = > Bullish trend
3. MA color turn yellow or the CCI turn blue that means a possible consolidation will be next or trend change.
4 type of Divergences are detected by the script Bullish, Bearish, Hidden Bullish and Hidden bearish divergences, users can setup alarms for them, by default the divergences ae not displayed, users need to select them to be displayed on the oscillator.
A table displaying the vurrent timeframe and 2 higher timeframes of the stats of CCI and its MA.
There are 13 alerts that users can setup akarms:
Alert for Regular Bullish Divergence
Alert for Hidden Bullish Divergence
Alert for Regular Bearish Divergence
Alert for Hidden Bearish Divergence
Alert for CCI Back Above -100
Alert for CCI Back Bellow 100
Alert for CCI Extreme Overbought
Alert for CCI Extreme Oversold
Alert for trend change by CCI MA => Moving Average Color turned to yellow, that means sideways or possible trend change
Alert for CCI Crossing Above CCI MA
Alert for CCI Crossing Bellow CCI MA
Alert for cci Crossing Above 0
Alert for CCI Crossing Bellow 0
Tìm kiếm tập lệnh với "CCI"
Commodity Channel Index DualThe CCI Dual is a custom TradingView indicator built in Pine Script v5, designed to help traders identify potential buy and sell signals using two Commodity Channel Index (CCI) oscillators. It combines a shorter-period CCI (default: 14) for quick momentum detection with a longer-period CCI (default: 50) for confirmation, focusing on mean-reversion opportunities in overbought or oversold conditions.
This setup is particularly suited for volatile markets like cryptocurrencies on higher timeframes (e.g., 3-day charts), where it highlights reversals by requiring both CCIs to cross out of extreme zones within a short window (default: 3 bars).
The indicator plots the CCIs, customizable bands (inner: 100, OB/OS: 175, outer: 200), dynamic fills for visual emphasis, background highlights for signals, and alert conditions for notifications.
How It Works
The indicator calculates two CCIs based on user-defined lengths and source (default: close price):
CCI Calculation: CCI measures price deviation from its average, using the formula: CCI = (Typical Price - Simple Moving Average) / (0.015 * Mean Deviation). The short CCI reacts faster to price changes, while the long CCI provides smoother, trend-aware confirmation.
Overbought/Oversold Levels: Customizable thresholds define extremes (Overbought at +175, Oversold at -175 by default). Bands are plotted at inner (±100), mid (±175 dashed), and outer (±200) levels, with gray fills for the outer zones.
Dynamic Fills: The longer CCI is used to shade areas beyond OB/OS levels in red (overbought) or green (oversold) for quick visual cues.
Signals:
Buy Signal: Triggers when both CCIs cross above the Oversold level (-175) within the signal window (3 bars). This suggests a potential upward reversal from an oversold state.
Sell Signal: Triggers when both cross below the Overbought level (+175) within the window, indicating a possible downward reversal.
Visuals and Alerts: Buy signals highlight the background green, sells red. Separate alertconditions allow setting TradingView alerts for buys or sells independently.
Customization: Adjust lengths, levels, and window via inputs to fit your timeframe or asset—e.g., higher OB/OS for crypto volatility.
This logic reduces noise by requiring dual confirmation, but like all oscillators, it can produce false signals in strong trends where prices stay extended.
To mitigate false signals (e.g., in trending markets), layer the CCI Dual with MACD (default: 12,26,9) and RSI (default: 14) for multi-indicator confirmation:
With MACD: Only take CCI buys if the MACD line is above the signal line (or histogram positive), confirming bullish momentum. For sells, require MACD bearish crossover. This filters counter-trend signals by aligning with trend strength—e.g., ignore CCI sells if MACD shows upward momentum.
With RSI: Confirm CCI oversold buys only if RSI is below 30 and rising (or shows bullish divergence). For overbought sells, RSI above 70 and falling. This adds overextension validation, reducing whipsaws in crypto trends.
I made this customizable for you to find what works best for your asset you are trading. I trade the 6 hour and 3 day timeframe mainly on major cryptocurrency pairs. I hope you enjoy this script and it serves you well.
Trend_Trader_WMA (Momentum)<---> Caution! This is first test version of indicator. I am ready to get more ideas+feedback to develop it more. <--->
The "Momentum_Trader_WMA" indicator is a versatile technical analysis tool designed to help traders identify potential trend changes and momentum shifts in the market. It combines multiple indicators and moving averages to provide a comprehensive view of price action and momentum.
Key Features:
Weighted Moving Averages (WMAs): The indicator calculates two different WMAs with user-defined lengths, providing a smoothed representation of price data.
Average True Range (ATR) Bands: ATR is used to calculate dynamic bands around the WMA Average. These bands can help traders gauge market volatility and potential breakout points. The color of the ATR bands can be seen as an early signal of trends or the continuation of current trends.
Commodity Channel Index (CCI): CCI is a momentum oscillator that measures the relative strength of price changes. The indicator calculates CCI values based on a user-defined period.
Exponential Moving Average (EMA) of CCI: An EMA of CCI is plotted to help identify trends and momentum shifts.
Color-Coded Bands: The ATR bands change colors based on CCI conditions, providing visual cues for potential trading opportunities. When ATR bands transition from narrow (indicating low volatility) to wide (indicating increased volatility), it can be seen as an early signal of a potential trend change or the continuation of the current trend.
Buy and Sell Signals: The indicator generates buy and sell signals based on crossovers of WMAs and CCI thresholds, making it easier for traders to identify entry and exit points.
Customizable Moving Averages: Traders can enable or disable different moving averages (e.g., SMA, EMA, WMA, RMA, VWMA, HMA) with various periods and colors to adapt the indicator to their trading preferences.
CCI Dot Alerts: Dots are displayed at the bottom of the chart based on CCI values, helping traders spot extreme CCI conditions.
How to Use:
Trend Identification: The WMAs and ATR bands can help identify the current trend direction and its strength. When the WMAs are in an uptrend (green) and the ATR bands widen, it may indicate a strong bullish trend. Conversely, when the WMAs are in a downtrend (red) and the ATR bands narrow, it may suggest a weakening bearish trend.
Momentum Confirmation: The CCI and its EMA provide insights into market momentum. Look for CCI crossovers above 100 for potential bullish momentum and below -100 for potential bearish momentum.
Buy and Sell Signals: Pay attention to the buy and sell signals generated by the indicator. Buy when the WMAs cross over and CCI crosses above 100. Sell when the WMAs cross under and CCI crosses below -100.
ATR Bands as Early Signals: The color changes in the ATR bands can be seen as early signals of trends or the continuation of current trends. Wide ATR bands may indicate increased volatility and potential trend changes, while narrow ATR bands suggest reduced volatility and potential trend continuation.
Moving Averages: Customize the indicator by enabling or disabling specific moving averages according to your preferred trading strategy.
CCI Dots: Use the CCI dots to identify extreme CCI conditions, which may indicate overbought or oversold market conditions.
PS:
Recommended to use Indicator with price action conecpts(eg. support and resistance) as they play important role in any market.
Buy and sell signals are not really accurate. I would personally look for trend shift in WMA middle line and confirmation from CCI dots at bottom. For example. If middle line turns green and within recent 3-4 candles (or next 3-4 candles) dots tunrns green also, that means momentum has been rised in the direction of bulls.
pls, take s/r concepts first when working. I am thinking to add more precise buy sell signal method to make it easier to trade.
Good luck with your trades :)
White Crow**White Crow — cluster reversal signals + market structure**
> Indicator that helps you read market structure (pivots, trend, last extremes) and spot potential reversals through CCI/RSI signal clusters. This is *not* a standalone trading system and does not guarantee any result — it is a tool for filtering and confirming your own market ideas.
---
## 1. Concept
White Crow combines three core blocks:
1. **Pivots & market structure**
Automatically detects **local tops/bottoms** and derives a *Bullish / Bearish / Sideways* bias from them.
In the top-right corner you see a compact panel with current trend and **Last Bottom / Last Top** prices.
2. **Momentum & overbought/oversold zones**
Inside, the indicator uses:
* **CCI** with fixed levels `+100 / -100`;
* an optional **RSI filter** with overbought/oversold levels (`80 / 20`).
These generate basic *Buy / Close* signals.
3. **Cluster signals Buy X / CloseV**
The script tracks **clusters of signals inside a 4-bar window** and highlights rarer, “amplified” events:
* **Buy X** — cluster buy signal (multiple buy conditions in a row);
* **CloseV** — cluster signal for exit/reversal.
**Buy X and CloseV are the strongest and most reliable signals in this indicator** because they are based on repeated conditions rather than a single bar. They work **best on higher timeframes (1H–4H)**, where they reflect meaningful shifts in order flow instead of noise.
> ⚠️ Important: Buy X and CloseV are *only signals*. They must be used as **one of several confirmation factors** for your own view of market structure (support/resistance, trend, price action, volume, etc.), not as standalone reasons to enter or exit trades.
---
## 2. How it works
### 2.1. Pivots and trend detection
* The indicator builds a **zigzag-like structure**:
after a local high, once price retraces down by a given percentage (`pivotSigma`), a **Top** is marked;
after a local low, once price retraces up by the same percentage, a **Bottom** is marked.
* Using the sequence of recent tops and bottoms, the script determines the trend:
* *Bullish* — the last low is higher than the previous one (HL);
* *Bearish* — the last high is lower than the previous one (LH);
* otherwise — *Sideways*.
* The info table shows:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** with adaptive decimal precision (works for crypto, FX, stocks, etc.).
### 2.2. Base Buy / Close signals
* **Long condition (Buy):**
* `CCI < -100` (oversold),
* if RSI filter is enabled — `RSI < 20`.
* **Short/Exit condition (Close):**
* `CCI > +100` (overbought),
* if RSI filter is enabled — `RSI > 80`.
These conditions generate the regular **Buy** and **Close** labels on the chart.
### 2.3. Clusters: Buy X and CloseV
To reduce noise, the indicator evaluates not only the current bar, but also the **last 4 bars**:
* `buy_count` — how many times the long condition was true within the last 4 bars;
* `sell_count` — how many times the short condition was true within the last 4 bars.
Then:
* **Buy X** appears when:
* `buy_count ≥ 2` (conditions for Buy were met on at least 2 of the last 4 bars),
* the time filter between two Buy X signals is satisfied (`Min Bars Between Signals`).
* **CloseV** appears when:
* `sell_count ≥ 2`,
* the required number of bars has passed since the previous CloseV.
> ✅ This is why **Buy X / CloseV are stronger and more trustworthy than single Buy/Close signals**, especially on **1H–4H** timeframes: the market confirms the same overbought/oversold condition several times in a row.
### 2.4. Order Blocks
* When `Show Order Blocks` is enabled, the indicator highlights **impulsive candles** whose body exceeds a threshold based on ATR.
* Colored rectangles mark **potential order blocks** (areas where strong buying or selling previously occurred).
## 3. Inputs and customization
Inputs are grouped in TradingView-friendly categories.
### 3.1. Pivot Settings
* `Show Pivots` — enable/disable **Top / Bottom** markers.
* `Sigma (% retracement)` — pivot sensitivity (minimum retracement in % required to confirm a pivot).
* Colors for Top/Bottom — for visual tuning.
**Tip:**
On H1–H4 you can keep near-default values.
On lower timeframes, reduce `Sigma` if you want more detailed local structure.
### 3.2. CCI / RSI Settings
* `CCI Period` — CCI length (short by default for faster reaction).
* `Enable RSI Filter` / `RSI Period` — toggle and length for RSI filter.
* RSI levels are fixed at **20 / 80** to mark strong oversold/overbought zones.
**Usage:**
* For more conservative entries — keep the RSI filter enabled.
* For more frequent signals (e.g. scalping) — you can disable the RSI filter.
### 3.3. Order Blocks
* `Show Order Blocks` — display order block zones.
* `Block Threshold (ATR multiplier)` — how large a candle must be (vs ATR) to be considered significant.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — choose which labels you want to see.
* `Enable Time Filter` — enable minimum spacing between amplified signals.
* `Min Bars Between Signals` — how many bars must pass between two Buy X or two CloseV signals.
**Tip:**
If you see too many amplified signals, increase `Min Bars Between Signals`.
If you want more activity, decrease it.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — choose which signal types should trigger alerts.
* `One Alert Per Bar` — when enabled, alerts are triggered only once per bar (recommended for H1–H4).
Alerts are generated via `alert()`, with messages that include signal type, ticker, timeframe and current price.
---
## 4. How to trade with White Crow
### 4.1. Recommended timeframes
* 📌 **Main focus: 1H–4H.**
On these timeframes:
* pivots and trend are more stable;
* CCI/RSI reflect meaningful swings;
* **Buy X / CloseV clusters** filter out a lot of intrabar noise.
You can still experiment on M1–M15, but expect more signals and more sensitivity to noise.
### 4.2. Reading the signals step by step
1. **Start with context**
* Look at **Market Trend / Last Bottom / Last Top** in the info panel.
* See where price is relative to these points: near resistance, near support, inside a range, etc.
2. **Identify zones of interest**
* Use pivots and order blocks as potential support/resistance areas.
* Wait for price to approach these zones.
3. **Watch the signals**
* **Buy** — early sign of local oversold conditions.
* **Buy X** — amplified cluster signal; more weight than a single Buy.
* **Close** — early warning of potential exhaustion in the current move.
* **CloseV** — amplified cluster exit/reversal signal.
4. **Practical approach**
* In a *Bullish* trend:
* focus on **Buy / Buy X** near bottoms and demand blocks;
* use **Close / CloseV** for partial profit-taking or tightening stops.
* In a *Bearish* trend:
* focus on **Close / CloseV** near tops and supply blocks;
* use **Buy / Buy X** mainly for countertrend scalps with strict risk control.
---
## 5. Important notes and disclaimer
1. **Buy X / CloseV are stronger — but not “magic” signals.**
They are statistically more meaningful than single Buy/Close signals because:
* they require multiple confirmations within a cluster;
* they are time-filtered.
However, **false signals are still possible**, especially in news spikes and low-liquidity conditions.
2. **Best performance on higher timeframes (1H–4H).**
Here, Buy X and CloseV usually reflect genuine shifts in supply/demand rather than micro noise.
3. **This is a confirmation tool, not a complete system.**
Pro Trading White Crow:
* does not manage risk;
* does not define position size or stop-loss;
* does not replace your own analysis.
Always use its signals as **one of several confluence factors** together with structure, trend, price action, volume, and your trading plan.
4. **Educational purpose only.**
This script and description are for educational and analytical purposes only.
They **do not constitute investment advice or a guarantee of profit**.
You are fully responsible for all trading decisions and risk management.
---
---
## White Crow — кластерные сигналы разворота + структура рынка
> Индикатор помогает читать рыночную структуру (пивоты, тренд, последние экстремумы) и находить потенциальные развороты через кластеры сигналов CCI/RSI. Это *не* готовая торговая система и *не* гарантия результата — а инструмент для фильтрации и подтверждения ваших собственных идей по рынку.
---
## 1. Концепция
White Crow объединяет три ключевых блока:
1. **Пивоты и структура рынка**
Автоматически находит **локальные вершины и впадины** и на их основе формирует трендовое смещение: *Bullish / Bearish / Sideways*.
В правом верхнем углу — компактная панель с текущим трендом и ценами **Last Bottom / Last Top**.
2. **Моментум и зоны перегрева**
Внутри используются:
* **CCI** с фиксированными уровнями `+100 / -100`;
* опциональный **фильтр RSI** с уровнями перепроданности/перекупленности (`20 / 80`).
По ним строятся базовые сигналы *Buy / Close*.
3. **Кластерные сигналы Buy X / CloseV**
Скрипт отслеживает **кластеры сигналов внутри окна в 4 бара** и выделяет более редкие, «усиленные» события:
* **Buy X** — кластерный сигнал покупки (несколько buy-условий подряд);
* **CloseV** — кластерный сигнал выхода/разворота.
Именно **Buy X и CloseV являются наиболее сильными и достоверными сигналами индикатора**, так как возникают при повторяющемся выполнении условий, а не на одном баре. Лучше всего они работают **на старших таймфреймах (1–4 часа)**, где отражают реальное смещение баланса спроса/предложения, а не рыночный шум.
> ⚠️ Важно: Buy X и CloseV — *это всего лишь сигналы*. Они должны использоваться **как один из факторов подтверждения** вашего видения структуры рынка (уровни, тренд, price action, объём и т.д.), а не как единственная причина для входа или выхода.
---
## 2. Как это работает
### 2.1. Пивоты и определение тренда
* Индикатор строит **структуру в стиле зигзага**:
после локального максимума, когда цена откатывает вниз на заданный процент (`pivotSigma`), отмечается **Top**;
после локального минимума, когда цена откатывает вверх на тот же процент, отмечается **Bottom**.
* По последовательности последних вершин и впадин определяется тренд:
* *Bullish* — последний минимум выше предыдущего (HL);
* *Bearish* — последний максимум ниже предыдущего (LH);
* иначе — *Sideways*.
* В информационной таблице отображаются:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** с адаптивным количеством знаков (подходит под крипту, форекс, акции и т.д.).
### 2.2. Базовые сигналы Buy / Close
* **Условие для Buy (лонг):**
* `CCI < -100` (зона перепроданности),
* при включённом фильтре — `RSI < 20`.
* **Условие для Close (шорт/выход):**
* `CCI > +100` (зона перекупленности),
* при включённом фильтре — `RSI > 80`.
По этим условиям индикатор рисует обычные метки **Buy** и **Close**.
### 2.3. Кластеры: Buy X и CloseV
Чтобы отсеять лишний шум, индикатор оценивает не только текущий бар, но и **4 последних бара**:
* `buy_count` — сколько раз условие на покупку выполнялось за последние 4 бара;
* `sell_count` — сколько раз условие на продажу/выход выполнялось за последние 4 бара.
Далее:
* **Buy X** появляется, когда:
* `buy_count ≥ 2` (минимум на 2 из 4 баров были условия для покупки),
* соблюдён фильтр по времени между усиленными сигналами (`Min Bars Between Signals`).
* **CloseV** появляется, когда:
* `sell_count ≥ 2`,
* прошло достаточно баров с момента предыдущего CloseV.
> ✅ Поэтому **Buy X и CloseV заметно сильнее и надёжнее одиночных Buy/Close**, особенно на **таймфреймах 1–4 часа**: рынок несколько раз подряд подтверждает один и тот же перегрев/разрядку момента.
### 2.4. Order Blocks
* При включённом `Show Order Blocks` индикатор выделяет **импульсные свечи**, чьё тело больше заданного множителя ATR.
* По таким свечам строятся цветные прямоугольники — **потенциальные блоки ордеров** (области поддержек/сопротивлений, где ранее проходил крупный объём).
---
## 3. Настройки и кастомизация
Настройки сгруппированы в привычные разделы TradingView.
### 3.1. Pivot Settings
* `Show Pivots` — включить/выключить метки **Top / Bottom**.
* `Sigma (% retracement)` — чувствительность к пивотам (минимальная глубина отката в процентах).
* Цвета Top/Bottom — визуальная настройка.
**Совет:**
На H1–H4 можно оставить значения близкие к стандартным.
На младших ТФ уменьшайте `Sigma`, если нужна более детальная структура.
### 3.2. CCI / RSI Settings
* `CCI Period` — период CCI (по умолчанию короткий, для более быстрой реакции).
* `Enable RSI Filter` / `RSI Period` — включение и длина RSI-фильтра.
* Уровни RSI фиксированы: **20 / 80**, выделяя сильную перепроданность/перекупленность.
**Использование:**
* Для более консервативной торговли — держите фильтр RSI включённым.
* Для более частых сигналов (скальпинг и т.п.) — можно фильтр отключить.
### 3.3. Order Blocks
* `Show Order Blocks` — отображение блоков ордеров.
* `Block Threshold (ATR multiplier)` — насколько большой должна быть свеча относительно ATR, чтобы считаться значимой.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — выбор типов отображаемых меток.
* `Enable Time Filter` — включение минимального интервала между усиленными сигналами.
* `Min Bars Between Signals` — сколько баров должно пройти между двумя Buy X или двумя CloseV.
**Совет:**
Если усиленных сигналов слишком много — увеличьте `Min Bars Between Signals`.
Если хотите больше активности — уменьшите это значение.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — выбор типов сигналов для алертов.
* `One Alert Per Bar` — при включении алерты отправляются один раз на бар (рекомендуется для H1–H4).
Алерты формируются через `alert()` с сообщением, включающим тип сигнала, тикер, таймфрейм и текущую цену.
---
## 4. Как использовать White Crow в торговле
### 4.1. Рекомендуемые таймфреймы
* 📌 **Основной фокус: 1–4 часа.**
На этих ТФ:
* структура по пивотам и тренд более стабильны;
* CCI/RSI отражают существенные ценовые колебания;
* кластеры **Buy X / CloseV** лучше отсеивают шум.
На M1–M15 индикатор тоже можно применять, но нужно быть готовым к большему количеству сигналов и чувствительности к микродвижениям.
### 4.2. Пошаговое чтение сигналов
1. **Начните с контекста**
* Посмотрите на **Market Trend / Last Bottom / Last Top** в панели.
* Определите, где находитесь относительно этих уровней: у сопротивления, у поддержки, внутри диапазона и т.п.
2. **Найдите зоны интереса**
* Используйте пивоты и order blocks как потенциальные области спроса/предложения.
* Ждите подхода цены к этим зонам.
3. **Отслеживайте сигналы**
* **Buy** — ранний признак локальной перепроданности.
* **Buy X** — усиленный кластерный сигнал, более значимый, чем одиночный Buy.
* **Close** — ранний сигнал возможного ослабления текущего движения.
* **CloseV** — усиленный кластерный сигнал выхода/разворота.
4. **Практическое применение**
* В *бычьем* тренде:
* фокус на **Buy / Buy X** возле впадин и зон спроса;
* **Close / CloseV** использовать для частичной фиксации и подтягивания стопа.
* В *медвежьем* тренде:
* фокус на **Close / CloseV** возле вершин и зон предложения;
* **Buy / Buy X** — для аккуратных контртрендовых входов с жестким риском.
---
## 5. Важные замечания и дисклеймер
1. **Buy X / CloseV сильнее, но не «волшебные» сигналы.**
Они статистически более значимы, чем одиночные Buy/Close, потому что:
* требуют нескольких подтверждений в кластере;
* фильтруются по времени.
Однако **ложные срабатывания всё равно возможны**, особенно на новостях и в условиях низкой ликвидности.
2. **Оптимальная область применения — старшие ТФ (1–4 часа).**
Здесь Buy X и CloseV обычно отражают реальное изменение баланса спроса/предложения, а не шум.
3. **Это инструмент подтверждения, а не полноценная система.**
Pro Trading White Crow:
* не управляет рисками;
* не считает размер позиции и уровень стоп-лосса;
* не заменяет ваше собственное видение рынка.
Всегда используйте его сигналы **как один из факторов согласованности** вместе со структурой, трендом, price action, объёмом и персональным торговым планом.
4. **Образовательный характер.**
Скрипт и описание предназначены для обучения и анализа графиков.
Они **не являются инвестиционной рекомендацией и не гарантируют прибыль**.
Вы самостоятельно принимаете все торговые решения и несёте полную ответственность за риск.
---
All In One Divergences Indicator - By CryptoEasonThis indicator displays divergences for multiple indicators on the chart. It includes divergences for volume, CCI, MACD, OBV, CMF, RSI, MFI, and maybe more in the future.
Below is an explanation of how divergences for these indicators are displayed:
1. Volume
I use volume to assess the strength of demand and supply. The way Volume divergences are calculated is similar to OBV.
Bearish Divergence: The price reaches a new high, but demand starts to weaken.
Bullish Divergence: The price reaches a new low, but supply starts to weaken.
2. CCI
Bearish Divergence: The price reaches a new high, but CCI forms a lower high, and the previous CCI peak is > 200.
Bullish Divergence: The price reaches a new low, but CCI forms a higher low, and the previous CCI low is < -200.
3. MACD
Bearish Divergence: The price reaches a new high, but the MACD lines cross at a lower point.
Bullish Divergence: The price reaches a new low, but the MACD lines cross at a higher point.
4. OBV
Bearish Divergence: The price reaches a new high, but OBV forms a lower high.
Bullish Divergence: The price reaches a new low, but OBV forms a higher low.
5. CMF
Bearish Divergence: The price reaches a new high, but CMF forms a lower high.
Bullish Divergence: The price reaches a new low, but CMF forms a higher low.
6. RSI
Bearish Divergence: The price reaches a new high, but RSI forms a lower high, and the previous RSI peak is > 70.
Bullish Divergence: The price reaches a new low, but RSI forms a higher low, and the previous RSI low is < 30.
7. MFI
Bearish Divergence: The price reaches a new high, but MFI forms a lower high, and the previous MFI peak is > 80.
Bullish Divergence: The price reaches a new low, but MFI forms a higher low, and the previous MFI low is < 20.
This indicator provides a sub-chart that displays seven indicators: Volume, CCI, MACD, OBV, CMF, RSI, and MFI.
When you find a divergence in the chart, I recommend using the sub-chart to check the real-time status of each indicator. This is important and is the way I use this indicator. Whenever a divergence signal appears, check the actual status of all the indicators with divergences.
Reminders:
1.Having too many divergence signals is not always better. Personally, I typically use divergences from four indicators: Volume, CCI, MACD, and OBV, and sometimes I add RSI. I recommend that you use divergence signals only from the indicators you are familiar with. If you're not familiar with a particular indicator, you can disable its divergence signals in the settings.
2.Some indicators are volume-related, such as OBV, Volume, MFI, and CMF. Therefore, the chart you're using should reflect the main trading volume of the market. For example, in the Bitcoin market, I recommend using the COINBASE:BTCUSD chart.
3.The divergence signals for MACD are displayed separately in this indicator. This is because the way MACD divergences are calculated is more complex. It requires the identification of the highs and lows of two MACD line crossovers, which is different from simply identifying the highs and lows of other indicators. Hence, MACD divergences are displayed separately in this indicator.
Note:
Although this indicator currently only shows divergences for seven indicators, I may add more divergence indicators in the future. If you would like to see divergence signals for a particular indicator included, or if you have any feature requests that are not currently offered, feel free to leave a comment and let me know.
============== 中文說明 (Chinese Introduction) ==============
這個指標是一個能在圖表上顯示多個指標背離的指標。
包括：成交量、CCI、MACD、OBV、CMF、RSI、MFI 等多個指標的背離。
以下說明這幾個指標背離的顯示方式：
1、成交量
我用成交量來判斷需求與供應強弱，它的背離判斷方式與OBV類似。
頂背離：價格創新高、但需求卻開始衰竭
底背離：價格創新低，但供應卻開始衰竭
2、CCI
頂背離：價格創新高、但CCI卻更低，且前一個高點 CCI > 200
底背離：價格創新低，但CCI卻更高，且前一個低點 CCI < -200
3、MACD
頂背離：價格創新高、但MACD快慢線交叉創下低點
底背離：價格創新低，但MACD 快慢線交叉雙下高點
4、OBV
頂背離：價格創新高、但OBV卻更低
底背離：價格創新低，但OBV卻更高
5、CMF
頂背離：價格創新高、但CMF卻更低
底背離：價格創新低，但CMF卻更高
6、RSI
頂背離：價格創新高、但RSI卻更低，且前一個高點 RSI > 70
底背離：價格創新低，但RSI卻更高，且前一個低點 RSI < 30
7、MFI
頂背離：價格創新高、但MFI卻更低，且前一個高點 MFI > 80
底背離：價格創新低，但MFI卻更高，且前一個低點 MFI < 20
該指標提供了副圖表，副圖表一共可顯示七個指標：成交量、CCI、MACD、OBV、CMF、RSI、MFI 。
當你發現當前價格出現背離時，我建議使用副圖表來一一檢查指標的真實情況，這很重要，這也是我使用這指標的方式，每當背離訊號出現時，檢查所有背離指標的真實情況。
提醒：
1、背離顯示並不是越多越好，我個人通常只使用 成交量、CCI、MACD、OBV 等四個指標的背離，偶爾會加上 RSI。我也建議你應該只使用自己熟悉的指標的背離，如果你不是很熟悉某個指標，那麼你可以在設定中取消顯示該指標的背離。
2、某些指標與成交量有關，例如OBV、Volume、MFI、CMF 等等，所以你使用的圖表應該要能反應市場的主要成交量，例如在比特幣市場裡，建議以 COINBASE:BTCUSD 圖表為主。
3、MACD 的背離訊號在這個指標裡是個別顯示的，因為MACD的背離判斷方式比較複雜，它需要判斷兩次快慢線交叉的高低點，跟其他指標只需要判斷高低點出現的值不太一樣，所以MACD背離在這個指標裡是單獨顯示的。
註：
雖然目前這個指標只有顯示七個指標的背離，但是未來我可能會加入更多指標的背離。如果你希望某個指標的背離訊號出現在這隻指標中，或是你想要某個功能但是目前這指標沒有提供，歡迎留言讓我知道。
GKD-C Super 6x [Loxx]Giga Kaleidoscope GKD-C Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity
What is MACD?
MACD stands for Moving Average Convergence Divergence. It is a technical indicator used in financial analysis to track the trend and momentum of a security or market index. The MACD indicator consists of two lines, a faster-moving average called the MACD line, and a slower-moving average called the signal line.
The MACD line is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA. The signal line is a 9-period EMA of the MACD line. The MACD line oscillates above and below the zero line, which represents the equilibrium point between the bullish and bearish forces.
Traders use the MACD indicator to identify changes in trend and momentum. When the MACD line crosses above the signal line, it is considered a bullish signal, indicating that the momentum is shifting towards the upside. Conversely, when the MACD line crosses below the signal line, it is considered a bearish signal, indicating that the momentum is shifting towards the downside.
The MACD indicator can also be used to identify divergences between the MACD line and the price action. A bullish divergence occurs when the price is making lower lows, but the MACD line is making higher lows. This could indicate that the downward momentum is weakening, and a potential trend reversal could be imminent. A bearish divergence occurs when the price is making higher highs, but the MACD line is making lower highs, indicating that the upward momentum is weakening, and a potential trend reversal could be imminent.
Overall, the MACD indicator is a versatile tool that can be used in conjunction with other technical indicators and chart patterns to make informed trading decisions.
What is CCI?
The Commodity Channel Index ( CCI ) is a technical analysis indicator that was developed by Donald Lambert in 1980. It's primarily used to identify overbought and oversold conditions in the market, as well as trend direction and potential price reversals.
The CCI is calculated by taking the difference between the typical price (the average of the high, low, and close prices) and a moving average of the typical price over a certain period of time. This difference is then divided by a factor based on the average deviation of the typical price from the moving average.
The formula for the CCI is:
CCI = (Typical Price - 20-period SMA of Typical Price) / (0.015 x Mean Deviation)
Where:
Typical Price = (High + Low + Close) / 3
SMA = Simple Moving Average
Mean Deviation = Average of the absolute value of the difference between the Typical Price and the SMA over the last 20 periods.
The CCI is usually displayed as a line chart that oscillates around a centerline of zero. Readings above zero indicate that the typical price is above the moving average, while readings below zero indicate that the typical price is below the moving average.
Traders typically use the CCI to identify overbought and oversold conditions in the market. When the CCI rises above a certain level (e.g., +100), it's considered overbought, indicating that the price may be due for a correction or reversal. When the CCI falls below a certain level (e.g., -100), it's considered oversold, indicating that the price may be due for a bounce or reversal.
The CCI can also be used to identify potential trend reversals. When the CCI crosses above or below the zero line, it can signal a potential change in trend. For example, if the CCI crosses above the zero line, it could indicate that a bullish trend is emerging, while a cross below the zero line could indicate that a bearish trend is emerging.
Overall, the Commodity Channel Index is a useful technical analysis tool for identifying overbought and oversold conditions, as well as potential trend reversals in the market. However, like all technical indicators, it should be used in conjunction with other forms of analysis and risk management techniques to make informed trading decisions.
What is RSI?
The RSI, or Relative Strength Index, is a popular technical analysis tool used to measure the strength of a security's price action and identify potential trend reversals. It was developed by J. Welles Wilder and is based on the concept that price action tends to follow a momentum pattern.
The RSI is calculated based on the average gain and loss of a security's price over a specified period, usually 14 periods. It oscillates between 0 and 100 and is represented as a single line on a chart.
The RSI is calculated as follows:
RS = Average Gain / Average Loss
RSI = 100 - (100 / (1 + RS))
Where the Average Gain is the sum of all gains divided by the number of periods, and the Average Loss is the sum of all losses divided by the number of periods.
The RSI is used to identify overbought and oversold conditions in a security or market index. When the RSI rises above 70, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the RSI falls below 30, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the RSI to identify potential trend reversals. When the RSI forms a divergent pattern with the price action, it could indicate that the security is losing momentum and may be reversing to the upside or downside.
Overall, the RSI is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Stochastic?
The stochastic oscillator is a momentum indicator used in technical analysis to measure the current closing price of a security or market index relative to its price range over a specified period. The indicator consists of two lines, the %K line and the %D line, which oscillate between 0 and 100.
The %K line is calculated as follows:
%K = 100 x (Closing Price - Lowest Low) / (Highest High - Lowest Low)
Where:
Closing Price is the most recent closing price of the security.
Lowest Low is the lowest low of the security over a specified period (usually 14 periods).
Highest High is the highest high of the security over the same specified period.
The %D line is a 3-period simple moving average of the %K line. The %D line is slower than the %K line and is used to smooth out the volatility of the %K line.
The stochastic oscillator is used to identify overbought and oversold conditions in a security or market index. When the %K line rises above 80, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the %K line falls below 20, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the stochastic oscillator to identify bullish and bearish divergences between the %K line and the price action. A bullish divergence occurs when the %K line is making higher lows while the price action is making lower lows, indicating that the momentum is shifting towards the upside. A bearish divergence occurs when the %K line is making lower highs while the price action is making higher highs, indicating that the momentum is shifting towards the downside.
Overall, the stochastic oscillator is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Loxxer?
The Loxxer Index is a technical indicator used in financial analysis to identify potential trend reversals and overbought/oversold conditions in a security or market index. It was developed by Loxx and is also known as the Loxx Indicator.
The Loxxer Index is calculated based on the high, low, and closing prices of a security over a specified period. It measures the demand for the security by comparing the current high and low prices with the previous high and low prices. The indicator oscillates between 0 and 1 and is represented as a single line on a chart.
The Loxxer Index is calculated as follows:
LoxxMax = Current High - Previous High
LoxxMin = Previous Low - Current Low
If LoxxMax is greater than LoxxMin, then the Loxxer Index is calculated as follows:
Loxxer = LoxxMax / (LoxxMax + Current Close - Previous Close)
If LoxxMax is less than or equal to LoxxMin, then the Loxxer Index is calculated as follows:
Loxxer = 0
The Loxxer Index is used to identify overbought and oversold conditions in a security or market index. When the Loxxer Index rises above 0.7, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the Loxxer Index falls below 0.3, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the Loxxer Index to identify potential trend reversals. When the Loxxer Index forms a higher low while the price action forms a lower low, it could indicate that the security is losing momentum and may be reversing to the upside. Conversely, when the Loxxer Index forms a lower high while the price action forms a higher high, it could indicate that the security is losing momentum and may be reversing to the downside.
Overall, the Loxxer Index is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Velocity?
The Velocity Indicator is a technical analysis tool used to measure the speed and momentum of price movements in a security or market index. It is a type of oscillator that is used to identify potential trend reversals and overbought/oversold conditions.
The Velocity Indicator is calculated based on the difference between the current price and the price from a specified number of periods ago. It measures the rate of change of the price movement over time and is represented as a single line on a chart.
The Velocity Indicator is calculated as follows:
Velocity = (Current Price - Price from N periods ago) / Price from N periods ago x 100
Where N is the number of periods used in the calculation.
The Velocity Indicator is used to identify overbought and oversold conditions in a security or market index. When the Velocity Indicator rises above 1, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the Velocity Indicator falls below -1, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the Velocity Indicator to identify potential trend reversals. When the Velocity Indicator crosses above its moving average, it could indicate that the security is gaining momentum and may be reversing to the upside. Conversely, when the Velocity Indicator crosses below its moving average, it could indicate that the security is losing momentum and may be reversing to the downside.
Overall, the Velocity Indicator is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity?
Super 6x combines all 6 indicators into one signal, long or short
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
Stock Strength IndexScript Title: Stock Strength Index made by Vishal R Janjire
Description:
The Stock Strength Index combines several advanced technical analysis tools into one comprehensive Pine Script indicator designed to provide a nuanced view of market strength and trends. This script integrates Relative Strength (RS), Commodity Channel Index (CCI), and additional trend confirmation mechanisms to deliver actionable insights for traders.
( Must Read )
Important parameter read before use this indicator
0. Zero line green means stock is in up trend and if it is red means down trending.
1. Zero line is green it means stocks is outperforming its index that is Nifty 50 ( but dont consider its results on nifty itself that is it will not work only on nifty 50)
2. Zero line is red it means stocks is underperforming its index that is Nifty 50
3. bubble is confirmation tool when it show green bubble on zero line it means on short time frame it want go up trending and vise versa
4. Always remember higher time frame is greater than chart time frame like day vs hour
Key Features:
5. Best suitable time when higher time frame is 15 minutes and chart time is 5 minute for intraday trading. for short swing use HTF 1 Day and chart time is 1 hour or 2 hour.
1. Relative Strength (RS) Analysis:
- Calculation: Measures the performance of the base symbol relative to a comparative symbol over a specified period.
- Visualization: Plots the RS value with color-coded lines to indicate bullish (green) or bearish (red) conditions based on crossovers. Users can toggle the RS color based on its value or trend direction.
- Trend Analysis: Displays a simple moving average (SMA) of RS to visualize trend strength and direction. The SMA’s color changes to indicate rising or falling trends.
2. Commodity Channel Index (CCI):
- Current Timeframe CCI: Calculates the CCI for the current timeframe to assess price momentum.
- Higher Timeframe CCI: Computes the CCI for a higher timeframe to provide a broader market perspective.
- Background Color: Highlights the chart background in green or red based on whether both current and higher timeframe CCIs are above or below zero, respectively.
3. Alerts:
- CCI Alerts: Set up alerts for key CCI crossovers, including when both CCIs are above or below zero, or when CCI crosses key levels (100 and -100) on either timeframe.
4. Trend Confirmation:
- Price Confirmation: Uses price and its moving average to identify bullish or bearish divergence, with visual bubbles plotted on the chart to confirm potential trade signals.
5. Customization Options:
- RS Parameters: Adjust settings for RS period, comparative symbol, and whether to display reference labels or the zero line.
- CCI Parameters: Configure CCI lengths for both current and higher timeframes and select the source of the CCI calculation.
Concepts Underlying Calculations:
- Relative Strength (RS): Measures the relative performance of the base symbol compared to another symbol, adjusted over a specified period to capture momentum and trend strength.
- Commodity Channel Index (CCI): Calculates the deviation of the price from its average to identify overbought or oversold conditions and potential reversal points.
- Simple Moving Average (SMA): Smooths the RS values to highlight trends and potential trend reversals.
This indicator is designed for traders seeking a comprehensive tool that combines multiple analytical methods into one cohesive system. It aims to offer a clearer view of market trends, strengths, and potential trade opportunities based on a blend of relative strength and momentum indicators.
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This description provides a detailed overview of the script's functionality and customization options while ensuring clarity and compliance with the publishing rules.
YK_28CRYPTO_CCI_CustomModified CCI for Heiken Ashi charts
The CCI usually falls in a channel of -100 to 100. The conventional CCI trading system works as follows. When it rises above 100, buy and hold until CCI falls back below 100. When CCI falls below -100, sell short and cover the short when it rises above the -100 line. Some trading systems cover on a rise above minus 85. The following scans represent this strategy.
Buy Signal CCI > 100 AND CCI.1 <= 100
Sell Signal CCI < -100 AND CCI.1 >= -100
A more aggressive use of the CCI indicator dictates entering positions when the index crosses the 0 line. This method helps incorporate the early part of a new move. When the CCI crosses above the 0 line from negative territory, this is a bullish signal. When the CCI crosses below the 0 line from positive territory, this is a bearish signal.
Buy Signal CCI > 0 AND CCI.1 <= 0
Sell Signal CCI < 0 AND CCI.1 >= 0
Modified CCI When "Modified CCI" is checked, the Typical Price is calculated differently, as seen below. Otherwise, the calculations are identical.
TP = (Max(HI,n) + Min(LO,n) + CL) / 3 n = CCI Period TP stands for Typical Price
Also long trades should be supported in combination with RSI going above 40 for Forex and above 50 for Crypto
Same for short trades 40/30 correlated
Third eye • StrategyThird eye • Strategy – User Guide
1. Idea & Concept
Third eye • Strategy combines three things into one system:
Ichimoku Cloud – to define market regime and support/resistance.
Moving Average (trend filter) – to trade only in the dominant direction.
CCI (Commodity Channel Index) – to generate precise entry signals on momentum breakouts.
The script is a strategy, not an indicator: it can backtest entries, exits, SL, TP and BreakEven logic automatically.
2. Indicators Used
2.1 Ichimoku
Standard Ichimoku settings (by default 9/26/52/26) are used:
Conversion Line (Tenkan-sen)
Base Line (Kijun-sen)
Leading Span A & B (Kumo Cloud)
Lagging Span is calculated but hidden from the chart (for visual simplicity).
From the cloud we derive:
kumoTop – top of the cloud under current price.
kumoBottom – bottom of the cloud under current price.
Flags:
is_above_kumo – price above the cloud.
is_below_kumo – price below the cloud.
is_in_kumo – price inside the cloud.
These conditions are used as trend / regime filters and for stop-loss & trailing stops.
2.2 Moving Average
You can optionally display and use a trend MA:
Types: SMA, EMA, DEMA, WMA
Length: configurable (default 200)
Source: default close
Filter idea:
If MA Direction Filter is ON:
When Close > MA → strategy allows only Long signals.
When Close < MA → strategy allows only Short signals.
The MA is plotted on the chart (if enabled).
2.3 CCI & Panel
The CCI (Commodity Channel Index) is used for entry timing:
CCI length and source are configurable (default length 20, source hlc3).
Two thresholds:
CCI Upper Threshold (Long) – default +100
CCI Lower Threshold (Short) – default –100
Signals:
Long signal:
CCI crosses up through the upper threshold
cci_val < upper_threshold and cci_val > upper_threshold
Short signal:
CCI crosses down through the lower threshold
cci_val > lower_threshold and cci_val < lower_threshold
There is a panel (table) in the bottom-right corner:
Shows current CCI value.
Shows filter status as colored dots:
Green = filter enabled and passed.
Red = filter enabled and blocking trades.
Gray = filter is disabled.
Filters shown in the panel:
Ichimoku Cloud filter (Long/Short)
Ichimoku Lines filter (Conversion/Base vs Cloud)
MA Direction filter
3. Filters & Trade Direction
All filters can be turned ON/OFF independently.
3.1 Ichimoku Cloud Filter
Purpose: trade only when price is clearly above or below the Kumo.
Long Cloud Filter (Use Ichimoku Cloud Filter) – when enabled:
Long trades only if close > cloud top.
Short Cloud Filter – when enabled:
Short trades only if close < cloud bottom.
If the cloud filter is disabled, this condition is ignored.
3.2 Ichimoku Lines Above/Below Cloud
Purpose: stronger trend confirmation: Ichimoku lines should also be on the “correct” side of the cloud.
Long Lines Filter:
Long allowed only if Conversion Line and Base Line are both above the cloud.
Short Lines Filter:
Short allowed only if both lines are below the cloud.
If this filter is OFF, the conditions are not checked.
3.3 MA Direction Filter
As described above:
When ON:
Close > MA → only Longs.
Close < MA → only Shorts.
4. Anti-Re-Entry Logic (Cloud Touch Reset)
The strategy uses internal flags to avoid continuous re-entries in the same direction without a reset.
Two flags:
allowLong
allowShort
After a Long entry, allowLong is set to false, allowShort to true.
After a Short entry, allowShort is set to false, allowLong to true.
Flags are reset when price touches the Kumo:
If Low goes into the cloud → allowLong = true
If High goes into the cloud → allowShort = true
If Close is inside the cloud → both allowLong and allowShort are set to true
There is a key option:
Wait Position Close Before Flag Reset
If ON: cloud touch will reset flags only when there is no open position.
If OFF: flags can be reset even while a trade is open.
This gives a kind of regime-based re-entry control: after a trend leg, you wait for a “cloud interaction” to allow new signals.
5. Risk Management
All risk management is handled inside the strategy.
5.1 Position Sizing
Order Size % of Equity – default 10%
The strategy calculates:
position_value = equity * (Order Size % / 100)
position_qty = position_value / close
So position size automatically adapts to your current equity.
5.2 Take Profit Modes
You can choose one of two TP modes:
Percent
Fibonacci
5.2.1 Percent Mode
Single Take Profit at X% from entry (default 2%).
For Long:
TP = entry_price * (1 + tp_pct / 100)
For Short:
TP = entry_price * (1 - tp_pct / 100)
One strategy.exit per side is used: "Long TP/SL" and "Short TP/SL".
5.2.2 Fibonacci Mode (2 partial TPs)
In this mode, TP levels are based on a virtual Fib-style extension between entry and stop-loss.
Inputs:
Fib TP1 Level (default 1.618)
Fib TP2 Level (default 2.5)
TP1 Share % (Fib) (default 50%)
TP2 share is automatically 100% - TP1 share.
Process for Long:
Compute a reference Stop (see SL section below) → sl_for_fib.
Compute distance: dist = entry_price - sl_for_fib.
TP levels:
TP1 = entry_price + dist * (Fib TP1 Level - 1)
TP2 = entry_price + dist * (Fib TP2 Level - 1)
For Short, the logic is mirrored.
Two exits are used:
TP1 – closes TP1 share % of position.
TP2 – closes remaining TP2 share %.
Same stop is used for both partial exits.
5.3 Stop-Loss Modes
You can choose one of three Stop Loss modes:
Stable – fixed % from entry.
Ichimoku – fixed level derived from the Kumo.
Ichimoku Trailing – dynamic SL following the cloud.
5.3.1 Stable SL
For Long:
SL = entry_price * (1 - Stable SL % / 100)
For Short:
SL = entry_price * (1 + Stable SL % / 100)
Used both for Percent TP mode and as reference for Fib TP if Kumo is not available.
5.3.2 Ichimoku SL (fixed, non-trailing)
At the time of a new trade:
For Long:
Base SL = cloud bottom minus small offset (%)
For Short:
Base SL = cloud top plus small offset (%)
The offset is configurable: Ichimoku SL Offset %.
Once computed, that SL level is fixed for this trade.
5.3.3 Ichimoku Trailing SL
Similar to Ichimoku SL, but recomputed each bar:
For Long:
SL = cloud bottom – offset
For Short:
SL = cloud top + offset
A red trailing SL line is drawn on the chart to visualize current stop level.
This trailing SL is also used as reference for BreakEven and for Fib TP distance.
6. BreakEven Logic (with BE Lines)
BreakEven is optional and supports two modes:
Percent
Fibonacci
Inputs:
Percent mode:
BE Trigger % (from entry) – move SL to BE when price goes this % in profit.
BE Offset % from entry – SL will be set to entry ± this offset.
Fibonacci mode:
BE Fib Level – Fib level at which BE will be activated (default 1.618, same style as TP).
BE Offset % from entry – how far from entry to place BE stop.
The logic:
Before BE is triggered, SL follows its normal mode (Stable/Ichimoku/Ichimoku Trailing).
When BE triggers:
For Long:
New SL = max(current SL, BE SL).
For Short:
New SL = min(current SL, BE SL).
This means BE will never loosen the stop – only tighten it.
When BE is activated, the strategy draws a violet horizontal line at the BreakEven level (once per trade).
BE state is cleared when the position is closed or when a new position is opened.
7. Entry & Exit Logic (Summary)
7.1 Long Entry
Conditions for a Long:
CCI signal:
CCI crosses up through the upper threshold.
Ichimoku Cloud Filter (optional):
If enabled → price must be above the Kumo.
Ichimoku Lines Filter (optional):
If enabled → Conversion Line and Base Line must be above the Kumo.
MA Direction Filter (optional):
If enabled → Close must be above the chosen MA.
Anti-re-entry flag:
allowLong must be true (cloud-based reset).
Position check:
Long entries are allowed when current position size ≤ 0 (so it can also reverse from short to long).
If all these conditions are true, the strategy sends:
strategy.entry("Long", strategy.long, qty = calculated_qty)
After entry:
allowLong = false
allowShort = true
7.2 Short Entry
Same structure, mirrored:
CCI signal:
CCI crosses down through the lower threshold.
Cloud filter: price must be below cloud (if enabled).
Lines filter: conversion & base must be below cloud (if enabled).
MA filter: Close must be below MA (if enabled).
allowShort must be true.
Position check: position size ≥ 0 (allows reversal from long to short).
Then:
strategy.entry("Short", strategy.short, qty = calculated_qty)
Flags update:
allowShort = false
allowLong = true
7.3 Exits
While in a position:
The strategy continuously recalculates SL (depending on chosen mode) and, in Percent mode, TP.
In Fib mode, fixed TP levels are computed at entry.
BreakEven may raise/tighten the SL if its conditions are met.
Exits are executed via strategy.exit:
Percent mode: one TP+SL exit per side.
Fib mode: two partial exits (TP1 and TP2) sharing the same SL.
At position open, the script also draws visual lines:
White line — entry price.
Green line(s) — TP level(s).
Red line — SL (if not using Ichimoku Trailing; with trailing, the red line is updated dynamically).
Maximum of 30 lines are kept to avoid clutter.
8. How to Use the Strategy
Choose market & timeframe
Works well on trending instruments. Try crypto, FX or indices on H1–H4, or intraday if you prefer more trades.
Adjust Ichimoku settings
Keep defaults (9/26/52/26) or adapt to your timeframe.
Configure Moving Average
Typical: EMA 200 as a trend filter.
Turn MA Direction Filter ON if you want to trade only with the main trend.
Set CCI thresholds
Default ±100 is classic.
Lower thresholds → more signals, higher noise.
Higher thresholds → fewer but stronger signals.
Enable/disable filters
Turn on Ichimoku Cloud and Ichimoku Lines if you want only “clean” trend trades.
Use Wait Position Close Before Flag Reset to control how often re-entries are allowed.
Choose TP & SL mode
Percent mode is simpler and easier to understand.
Fibonacci mode is more advanced: it aligns TP levels with the distance to stop, giving asymmetric RR setups (two partial TPs).
Choose Stable SL for fixed-risk trades, or Ichimoku / Ichimoku Trailing to tie stops to the cloud structure.
Set BreakEven
Enable BE if you want to lock in risk-free trades after a certain move.
Percent mode is straightforward; Fib mode keeps BreakEven in harmony with your Fib TP setup.
Run Backtest & Optimize
Press “Add to chart” → go to Strategy Tester.
Adjust parameters to your market and timeframe.
Look at equity curve, PF, drawdown, average trade, etc.
Live / Paper Trading
After you’re satisfied with backtest results, use the strategy to generate signals.
You can mirror entries/exits manually or connect them to alerts (if you build an alert-based execution layer).
SEVENX Free|SuperFundedSEVENX — Modular Multi-Signal Scanner (SuperFunded)
What it is
SEVENX combines seven classic signals—MACD, OBV, RSI, Stochastics, CCI, Momentum, and an optional ATR volatility filter—into a modular gate. You can toggle each condition on/off, and a BUY/SELL arrow prints only when all enabled conditions agree. Text labels are optional.
Why this is not a simple mashup
・Most “combo” scripts just overlay indicators. SEVENX is a strict consensus engine:
・Each condition is binary and user-switchable.
・The final signal is the logical AND of all enabled checks (no hidden weights).
・Signals fire only on confirmed events (e.g., RSI crossing a level, Stoch K/D cross), which makes entries rule-driven and reproducible.
This yields a transparent, vendor-grade workflow where traders can start simple (2–3 gates) and tighten selectivity by enabling more gates.
How it works (concise)
・MACD: macd_line > signal_line (buy) / < (sell).
・OBV trend: OBV > OBV_MA (buy) / < (sell).
・RSI bounce/drop: crossover(RSI, Oversold) (buy) / crossunder(RSI, Overbought) (sell).
・Stoch cross: %K crosses above %D (buy) / below (sell).
・CCI rebound/pullback: crossover(CCI, -Level) (buy) / crossunder(CCI, +Level) (sell).
・Momentum: Momentum > 0 (buy) / < 0 (sell).
・ATR filter (optional): ATR > ATR_MA must also be true (both sides).
・Final signal: AND of all enabled conditions. If you enable none on a side, that side will not print.
Parameters (UI mapping)
Buy Signal (group: “— Buy Signal —”)
・MACD Golden Cross / OBV Uptrend / RSI Bounce from Oversold / Stochastic Golden Cross / CCI Rebound from Oversold / Momentum > 0 / ATR Volatility Filter (on/off)
Sell Signal (group: “— Sell Signal —”)
・MACD Dead Cross / OBV Downtrend / RSI Drop from Overbought / Stochastic Dead Cross / CCI Pullback from Overbought / Momentum < 0 / ATR Volatility Filter (on/off)
Indicator Settings
・MACD: Fast/Slow/Signal lengths.
・RSI: Length, Overbought/Oversold levels.
・Stochastics: %K length, %D smoothing, overall smoothing.
・CCI: Length, Level (±Level used).
・Momentum: Length.
・OBV: MA length for trend baseline.
・ATR: ATR length, ATR MA length (for the filter).
Display
・Show Text (BUY/SELL text on the markers), Buy/Sell Text Colors.
Practical usage
・Start simple: Enable 2 conditions (e.g., MACD + RSI). If signals are too frequent, add OBV or Momentum; if still frequent, enable ATR filter.
・Mean-reversion vs trend:
・For trend-following, prefer MACD/OBV/Momentum gates.
・For reversal bounces, add RSI/CCI gates and keep Stoch for timing.
・Tuning sensitivity:
・Raise RSI Oversold/Overbought thresholds to make bounces rarer.
・Increase ATR_MA length to smooth the volatility baseline.
・Risk first: Plan SL/TP independently (e.g., structure levels or R-multiples). SEVENX focuses on entry qualification, not exits.
Repainting & confirmation
Signals depend on cross events and are best treated on bar close. Intrabar flips can occur before a bar closes; for strict rules, confirm on closed bars in your strategy.
Disclaimer
No indicator can guarantee outcomes. News, liquidity, and spread conditions can invalidate signals. Trade responsibly and manage risk.
This indicator is being released on a trial basis and may be discontinued at our discretion.
SEVENX — モジュラー型マルチシグナル・スキャナー（日本語）
概要
SEVENXは、MACD / OBV / RSI / ストキャス / CCI / モメンタム / ATRフィルターの7条件を個別オン・オフで制御し、有効化した条件がすべて満たされたときだけBUY/SELL矢印を表示する、合意（AND）型シグナルインジです。テキスト表示も任意。
独自性・新規性
・各条件はブラックボックスではなく明示的なブール判定で、最終シグナルは有効化した条件のAND。
・RSIのレベルクロスやStochのK/Dクロスなど、確定イベントで判定するため、再現性の高いルール運用が可能。少数条件から始めて、必要に応じて段階的に厳格化できます。
動作要点
・MACD：線がシグナル上/下。
・OBV：OBVがOBVのMAより上/下。
・RSI：RSIがOSを上抜け（買い）/OBを下抜け（売り）。
・Stoch：%Kが%Dを上抜け/下抜け。
・CCI：CCIが**−Levelを上抜け**（買い）/+Levelを下抜け（売り）。
・Momentum：0より上/下。
・ATRフィルター（任意）：ATR > ATR_MA を満たすこと（買い/売り共通）。
・最終サイン：有効化した条件のAND。そのサイドで1つも有効化していなければサインは出ません。
実践ヒント
・まずは2条件（例：MACD＋RSI）でテスト → 多すぎるならOBV/MomentumやATRフィルターを追加。
・トレンド重視：MACD/OBV/Momentumを主軸に。
・押し目・戻り目狙い：RSI/CCIを追加、Stochでタイミング調整。
・感度調整：RSIのOB/OSを広げる、ATR_MAを長くする等で厳しめに。
・出口は別設計：SL/TPは価格帯やR倍数などで管理を。
再描画と確定
確定足基準で判断すると安定します。足確定前はクロスが行き来することがあります。
免責
シグナルの機能は保証されません。イベントや流動性で無効化する場合があります。資金管理のうえ自己責任でご利用ください。
このインジケーターは試験公開のため、弊社の裁量で公開を停止する場合があります。
SEVENX|SuperFundedSEVENX — Modular Multi-Signal Scanner (SuperFunded)
What it is
SEVENX combines seven classic signals—MACD, OBV, RSI, Stochastics, CCI, Momentum, and an optional ATR volatility filter—into a modular gate. You can toggle each condition on/off, and a BUY/SELL arrow prints only when all enabled conditions agree. Text labels are optional.
Why this is not a simple mashup
・Most “combo” scripts just overlay indicators. SEVENX is a strict consensus engine:
・Each condition is binary and user-switchable.
・The final signal is the logical AND of all enabled checks (no hidden weights).
・Signals fire only on confirmed events (e.g., RSI crossing a level, Stoch K/D cross), which makes entries rule-driven and reproducible.
This yields a transparent, vendor-grade workflow where traders can start simple (2–3 gates) and tighten selectivity by enabling more gates.
How it works (concise)
・MACD: macd_line > signal_line (buy) / < (sell).
・OBV trend: OBV > OBV_MA (buy) / < (sell).
・RSI bounce/drop: crossover(RSI, Oversold) (buy) / crossunder(RSI, Overbought) (sell).
・Stoch cross: %K crosses above %D (buy) / below (sell).
・CCI rebound/pullback: crossover(CCI, -Level) (buy) / crossunder(CCI, +Level) (sell).
・Momentum: Momentum > 0 (buy) / < 0 (sell).
・ATR filter (optional): ATR > ATR_MA must also be true (both sides).
・Final signal: AND of all enabled conditions. If you enable none on a side, that side will not print.
Parameters (UI mapping)
Buy Signal (group: “— Buy Signal —”)
・MACD Golden Cross / OBV Uptrend / RSI Bounce from Oversold / Stochastic Golden Cross / CCI Rebound from Oversold / Momentum > 0 / ATR Volatility Filter (on/off)
Sell Signal (group: “— Sell Signal —”)
・MACD Dead Cross / OBV Downtrend / RSI Drop from Overbought / Stochastic Dead Cross / CCI Pullback from Overbought / Momentum < 0 / ATR Volatility Filter (on/off)
Indicator Settings
・MACD: Fast/Slow/Signal lengths.
・RSI: Length, Overbought/Oversold levels.
・Stochastics: %K length, %D smoothing, overall smoothing.
・CCI: Length, Level (±Level used).
・Momentum: Length.
・OBV: MA length for trend baseline.
・ATR: ATR length, ATR MA length (for the filter).
Display
・Show Text (BUY/SELL text on the markers), Buy/Sell Text Colors.
Practical usage
・Start simple: Enable 2 conditions (e.g., MACD + RSI). If signals are too frequent, add OBV or Momentum; if still frequent, enable ATR filter.
・Mean-reversion vs trend:
・For trend-following, prefer MACD/OBV/Momentum gates.
・For reversal bounces, add RSI/CCI gates and keep Stoch for timing.
・Tuning sensitivity:
・Raise RSI Oversold/Overbought thresholds to make bounces rarer.
・Increase ATR_MA length to smooth the volatility baseline.
・Risk first: Plan SL/TP independently (e.g., structure levels or R-multiples). SEVENX focuses on entry qualification, not exits.
Repainting & confirmation
Signals depend on cross events and are best treated on bar close. Intrabar flips can occur before a bar closes; for strict rules, confirm on closed bars in your strategy.
Disclaimer
No indicator can guarantee outcomes. News, liquidity, and spread conditions can invalidate signals. Trade responsibly and manage risk.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
SEVENX — モジュラー型マルチシグナル・スキャナー（日本語）
概要
SEVENXは、MACD / OBV / RSI / ストキャス / CCI / モメンタム / ATRフィルターの7条件を個別オン・オフで制御し、有効化した条件がすべて満たされたときだけBUY/SELL矢印を表示する、合意（AND）型シグナルインジです。テキスト表示も任意。
独自性・新規性
・各条件はブラックボックスではなく明示的なブール判定で、最終シグナルは有効化した条件のAND。
・RSIのレベルクロスやStochのK/Dクロスなど、確定イベントで判定するため、再現性の高いルール運用が可能。少数条件から始めて、必要に応じて段階的に厳格化できます。
動作要点
・MACD：線がシグナル上/下。
・OBV：OBVがOBVのMAより上/下。
・RSI：RSIがOSを上抜け（買い）/OBを下抜け（売り）。
・Stoch：%Kが%Dを上抜け/下抜け。
・CCI：CCIが**−Levelを上抜け**（買い）/+Levelを下抜け（売り）。
・Momentum：0より上/下。
・ATRフィルター（任意）：ATR > ATR_MA を満たすこと（買い/売り共通）。
・最終サイン：有効化した条件のAND。そのサイドで1つも有効化していなければサインは出ません。
実践ヒント
・まずは2条件（例：MACD＋RSI）でテスト → 多すぎるならOBV/MomentumやATRフィルターを追加。
・トレンド重視：MACD/OBV/Momentumを主軸に。
・押し目・戻り目狙い：RSI/CCIを追加、Stochでタイミング調整。
・感度調整：RSIのOB/OSを広げる、ATR_MAを長くする等で厳しめに。
・出口は別設計：SL/TPは価格帯やR倍数などで管理を。
再描画と確定
確定足基準で判断すると安定します。足確定前はクロスが行き来することがあります。
免責
シグナルの機能は保証されません。イベントや流動性で無効化する場合があります。資金管理のうえ自己責任でご利用ください。
SuperFunded 招待専用スクリプト
このスクリプトはSuperFundedの参加者専用です。アクセスをご希望の方は、SuperFundedにご登録のメールアドレスから partner@superfunded.com 宛に、TradingViewの登録名をご送信ください。
PRO Strategy 3TP (v2.1.1)
English Version
PRO Strategy 3TP (v2.1.1) — Comprehensive Guide for TradingView
Strategy Concept & Uniqueness
The PRO Strategy 3TP is a trading system designed to follow market trends using a combination of tools that check trends across different timeframes, measure momentum, and manage risks smartly. Its standout feature is a three-step profit-taking system (hence "3TP") and its ability to adjust to market ups and downs, helping traders make the most of strong trends while keeping losses low in choppy markets.
Why It’s Special:
✅ Three Profit Levels: Takes profit in stages—33% at the first target (TP1), 33% at the second (TP2), and 34% at the third (TP3)—so you lock in gains gradually.
✅ Risk-Free After TP1: Once the first profit target is hit, the stop-loss moves to your entry price, meaning no more risk on the trade.
✅ Smarter Signals: Uses data from a higher timeframe (like 1-hour) to filter out false moves on your chart (like 15-minutes).
How It Works
The strategy uses four main tools to decide when to enter and exit trades. Here’s what they do in simple terms:
Trend Tools (EMA, HMA, SMA)
EMA (Exponential Moving Average): A line that tracks the price trend, reacting quickly to recent changes. Think of it as a fast guide to where the market’s heading.
Default: EMA 100 (looks at the last 100 bars).
HMA (Hull Moving Average): A smoother, faster-moving line that spots trend shifts earlier than most averages.
Default: HMA 50 (looks at the last 50 bars).
SMA (Simple Moving Average): A basic average of prices over time, great for seeing the big picture (bull or bear market).
Default: SMA 200 (looks at the last 200 bars).
How It Helps: These lines work together to make sure the trend is real across short, medium, and long terms.
Momentum Tool (CCI)
CCI (Commodity Channel Index): Tells you if the market is “overbought” (too high, ready to drop) or “oversold” (too low, ready to rise).
Buy when CCI < -100 (oversold).
Sell when CCI > +100 (overbought).
How It Helps: It picks the best moments to jump into a trade when prices are at extremes.
Trend Strength Tool (ADX)
ADX (Average Directional Index): Measures how strong a trend is. Higher numbers mean a stronger trend.
Default: ADX > 26 (only trades when the trend is strong enough).
How It Helps: Keeps you out of flat, boring markets where prices don’t move much.
Volatility Tool (ATR)
ATR (Average True Range): Shows how much the price typically moves up or down. It’s like a ruler for market “wiggle room.”
Default: ATR over 19 bars, used to set stop-loss (5x ATR) and profit targets (1x, 1.3x, 1.7x ATR).
How It Helps: Adjusts your trade exits based on how wild or calm the market is.
Entry Rules
Buy (Long): Price is above EMA, HMA, and SMA (checked on a higher timeframe) + CCI < -100 + ADX > 26.
Sell (Short): Price is below EMA, HMA, and SMA + CCI > +100 + ADX > 26.
Exit Rules
Stop-Loss: Set at 5x ATR away from your entry (e.g., if ATR is 10 points, stop-loss is 50 points away).
Breakeven: After TP1 is hit, stop-loss moves to your entry price—no more risk!
Profit Targets:
TP1: 1x ATR (closes 33% of your position).
TP2: 1.3x ATR (closes 33%).
TP3: 1.7x ATR (closes 34%).
Why This Mix Works
Fewer Mistakes: Checking trends on multiple timeframes cuts out 60-70% of bad signals (based on tests).
Adapts to the Market: ATR adjusts your stops and targets as the market changes—super useful for volatile assets like crypto.
Balanced Wins: The three-step profit system locks in gains early but lets you ride big trends too.
Setup Guide
Settings for Different Styles
Parameter Scalping (1-15M) Swing (1H-4H) Position (Daily)
EMA/HMA/SMA 50/20/Off 100/50/200 Off/Off/200
ADX Threshold 20 26 25
ATR Multipliers SL=3x, TP3=2x SL=5x SL=6x
Position Size
Formula: Contracts = Risk Amount / (Stop-Loss Distance × Value per Point)
Example: Risking $100, stop-loss is 50 points, each point = $2 → Trade 1 contract.
Multi-Timeframe Tip
Chart: 15-minute
Indicators: 1-hour
Rule: Only trade if the 15-minute price matches the 1-hour trend.
Why Use It?
Proven Results: 58-62% win rate on assets like Bitcoin, Ethereum, and S&P 500 (tested 2020-2023). Risk-to-reward ratio of 1.8-2.3.
Saves Time: Alerts tell you when to enter or exit—no need to watch the screen all day.
Flexible: Works for fast scalping, medium swing trades, or long-term positions.
FAQ
Why no trailing stop?
Trailing stops cut profits by 15-20% in tests because they exit too early. The breakeven stop protects your money better.
What about news events?
Use a bigger ATR (e.g., 50) and wider stop-loss (6x ATR) when markets get crazy.
Can I trade forex?
Yes! Try EMA=50, HMA=20, ATR=14 on EUR/USD 15-minute charts.
Risk Management
Risk per Trade: Stick to 1-2% of your account.
Weekly Check: Adjust ATR and stop-loss every Friday to match market conditions.
Emergency Plan: Manually move your stop-loss if something wild (like a “black swan” event) happens.
⚠️ Warning: Trading is risky. This strategy doesn’t promise profits. Always use a stop-loss.
Русская версия
Стратегия PRO 3TP (v2.1.1) — Полное руководство для TradingView
Концепция и уникальность
PRO Strategy 3TP — это система, которая следует за трендами на рынке, используя проверку трендов на разных таймфреймах, измерение импульса и умное управление рисками. Главная фишка — трехступенчатая фиксация прибыли (поэтому "3TP") и адаптация к изменениям на рынке, чтобы зарабатывать больше в сильных трендах и терять меньше в нестабильные времена.
Почему она особенная:
✅ Три уровня прибыли: Закрывает 33% на первом уровне (TP1), 33% на втором (TP2) и 34% на третьем (TP3) — прибыль фиксируется постепенно.
✅ Без риска после TP1: После первого уровня стоп-лосс сдвигается на точку входа — дальше риска нет.
✅ Умные сигналы: Использует данные с более старшего таймфрейма (например, 1 час) для фильтрации шума на вашем графике (например, 15 минут).
Как это работает
Стратегия использует четыре основных инструмента для входа и выхода из сделок. Вот что они значат простыми словами:
Инструменты тренда (EMA, HMA, SMA)
EMA (Экспоненциальная скользящая средняя) : Линия, которая следит за трендом и быстро реагирует на последние цены. Это как быстрый указатель направления рынка.
По умолчанию: EMA 100 (смотрит на последние 100 баров).
HMA (Скользящая средняя Халла): Более плавная и быстрая линия, которая раньше замечает смену тренда.
По умолчанию: HMA 50 (смотрит на последние 50 баров).
SMA (Простая скользящая средняя) : Просто средняя цена за период, показывает общую картину (быки или медведи).
По умолчанию: SMA 200 (смотрит на последние 200 баров).
Зачем это нужно: Эти линии вместе проверяют, что тренд настоящий на коротких, средних и длинных периодах.
Инструмент импульса (CCI)
CCI (Индекс товарного канала): Показывает, когда рынок “перекуплен” (слишком высоко, готов упасть) или “перепродан” (слишком низко, готов расти).
Покупка: CCI < -100 (перепродан).
Продажа: CCI > +100 (перекуплен).
Зачем это нужно: Помогает выбрать лучшее время для входа, когда цены на крайних значениях.
Инструмент силы тренда (ADX)
ADX (Индекс среднего направленного движения): Измеряет, насколько силен тренд. Чем выше число, тем сильнее движение.
По умолчанию: ADX > 26 (торгуем, только если тренд сильный).
Зачем это нужно: Не дает торговать, когда рынок стоит на месте и скучный.
Инструмент волатильности (ATR)
ATR (Средний истинный диапазон): Показывает, насколько сильно цена обычно “гуляет” вверх-вниз. Это как линейка для рыночных колебаний.
По умолчанию: ATR за 19 баров, стоп-лосс = 5x ATR, цели прибыли = 1x, 1.3x, 1.7x ATR.
Зачем это нужно: Настраивает выход из сделки в зависимости от того, насколько рынок спокоен или хаотичен.
Правила входа
Покупка (Лонг): Цена выше EMA, HMA и SMA (проверяется на старшем таймфрейме) + CCI < -100 + ADX > 26.
Продажа (Шорт): Цена ниже EMA, HMA и SMA + CCI > +100 + ADX > 26.
Правила выхода
Стоп-лосс: Устанавливается на 5x ATR от входа (например, если ATR = 10 пунктов, стоп = 50 пунктов).
Безубыток: После TP1 стоп-лосс сдвигается на цену входа — риска больше нет!
Цели прибыли:
TP1: 1x ATR (закрывает 33% позиции).
TP2: 1.3x ATR (закрывает 33%).
TP3: 1.7x ATR (закрывает 34%).
Почему эта комбинация работает
Меньше ошибок: Проверка тренда на разных таймфреймах убирает 60-70% ложных сигналов (по тестам).
Подстраивается под рынок: ATR меняет стопы и цели в зависимости от условий — важно для активов вроде крипты.
Умная прибыль: Трехступенчатая система фиксирует выгоду рано, но оставляет шанс заработать на большом тренде.
Как настроить
Настройки для разных стилей
Параметр Скальпинг (1-15М) Свинг (1H-4H) Долгосрок (Daily)
EMA/HMA/SMA 50/20/Выкл 100/50/200 Выкл/Выкл/200
Порог ADX 20 26 25
Множители ATR SL=3x, TP3=2x SL=5x SL=6x
Размер позиции
Формула: Контракты = Риск / (Расстояние до стоп-лосса × Стоимость пункта)
Пример: Риск $100, стоп-лосс 50 пунктов, 1 пункт = $2 → 1 контракт.
Совет по таймфреймам
График: 15 минут
Индикаторы: 1 час
Правило: Торгуй, только если тренд на 15 минутах совпадает с 1 часом.
Зачем это использовать?
Проверено: 58-62% успешных сделок на BTC, ETH, S&P 500 (тесты 2020-2023). Соотношение риск/прибыль 1.8-2.3.
Экономит время: Оповещения скажут, когда входить и выходить — не надо сидеть у экрана.
Гибкость: Подходит для быстрой торговли, среднесрочной и долгосрочной.
Часто задаваемые вопросы
Почему нет трейлинг-стопа?
Тесты показали, что он снижает прибыль на 15-20%, потому что выходит слишком рано. Безубыток лучше защищает деньги.
Что делать с новостями?
Увеличьте ATR (например, до 50) и стоп-лосс (6x ATR), когда рынок штормит.
Можно торговать форекс?
Да! Используйте EMA=50, HMA=20, ATR=14 для EUR/USD на 15 минутах.
Управление рисками
Риск на сделку: Не больше 1-2% от депозита.
Проверка раз в неделю: Обновляйте ATR и стоп-лосс каждую пятницу под рынок.
План на экстрим: Если происходит что-то необычное (например, “черный лебедь”), вручную двигайте стоп-лосс.
⚠️ Предупреждение: Торговля — это риск. Стратегия не гарантирует прибыль. Всегда ставьте стоп-лосс.
Multi-Indicator Signals with Selectable Options by DiGetMulti-Indicator Signals with Selectable Options
Script Overview
This Pine Script is a multi-indicator trading strategy designed to generate buy/sell signals based on combinations of popular technical indicators: RSI (Relative Strength Index) , CCI (Commodity Channel Index) , and Stochastic Oscillator . The script allows you to select which combination of signals to display, making it highly customizable and adaptable to different trading styles.
The primary goal of this script is to provide clear and actionable entry/exit points by visualizing buy/sell signals with arrows , labels , and vertical lines directly on the chart. It also includes input validation, dynamic signal plotting, and clutter-free line management to ensure a clean and professional user experience.
Key Features
1. Customizable Signal Types
You can choose from five signal types:
RSI & CCI : Combines RSI and CCI signals for confirmation.
RSI & Stochastic : Combines RSI and Stochastic signals.
CCI & Stochastic : Combines CCI and Stochastic signals.
RSI & CCI & Stochastic : Requires all three indicators to align for a signal.
All Signals : Displays individual signals from each indicator separately.
This flexibility allows you to test and use the combination that works best for your trading strategy.
2. Clear Buy/Sell Indicators
Arrows : Buy signals are marked with upward arrows (green/lime/yellow) below the candles, while sell signals are marked with downward arrows (red/fuchsia/gray) above the candles.
Labels : Each signal is accompanied by a label ("BUY" or "SELL") near the arrow for clarity.
Vertical Lines : A vertical line is drawn at the exact bar where the signal occurs, extending from the low to the high of the candle. This ensures you can pinpoint the exact entry point without ambiguity.
3. Dynamic Overbought/Oversold Levels
You can customize the overbought and oversold levels for each indicator:
RSI: Default values are 70 (overbought) and 30 (oversold).
CCI: Default values are +100 (overbought) and -100 (oversold).
Stochastic: Default values are 80 (overbought) and 20 (oversold).
These levels can be adjusted to suit your trading preferences or market conditions.
4. Input Validation
The script includes built-in validation to ensure that oversold levels are always lower than overbought levels for each indicator. If the inputs are invalid, an error message will appear, preventing incorrect configurations.
5. Clean Chart Design
To avoid clutter, the script dynamically manages vertical lines:
Only the most recent 50 buy/sell lines are displayed. Older lines are automatically deleted to keep the chart clean.
Labels and arrows are placed strategically to avoid overlapping with candles.
6. ATR-Based Offset
The vertical lines and labels are offset using the Average True Range (ATR) to ensure they don’t overlap with the price action. This makes the signals easier to see, especially during volatile market conditions.
7. Scalable and Professional
The script uses arrays to manage multiple vertical lines, ensuring scalability and performance even when many signals are generated.
It adheres to Pine Script v6 standards, ensuring compatibility and reliability.
How It Works
Indicator Calculations :
The script calculates the values of RSI, CCI, and Stochastic Oscillator based on user-defined lengths and smoothing parameters.
It then checks for crossover/crossunder conditions relative to the overbought/oversold levels to generate individual signals.
Combined Signals :
Depending on the selected signal type, the script combines the individual signals logically:
For example, a "RSI & CCI" buy signal requires both RSI and CCI to cross into their respective oversold zones simultaneously.
Signal Plotting :
When a signal is generated, the script:
Plots an arrow (upward for buy, downward for sell) at the corresponding bar.
Adds a label ("BUY" or "SELL") near the arrow for clarity.
Draws a vertical line extending from the low to the high of the candle to mark the exact entry point.
Line Management :
To prevent clutter, the script stores up to 50 vertical lines in arrays (buy_lines and sell_lines). Older lines are automatically deleted when the limit is exceeded.
Why Use This Script?
Versatility : Whether you're a scalper, swing trader, or long-term investor, this script can be tailored to your needs by selecting the appropriate signal type and adjusting the indicator parameters.
Clarity : The combination of arrows, labels, and vertical lines ensures that signals are easy to spot and interpret, even in fast-moving markets.
Customization : With adjustable overbought/oversold levels and multiple signal options, you can fine-tune the script to match your trading strategy.
Professional Design : The script avoids clutter by limiting the number of lines displayed and using ATR-based offsets for better visibility.
How to Use This Script
Add the Script to Your Chart :
Copy and paste the script into the Pine Editor in TradingView.
Save and add it to your chart.
Select Signal Type :
Use the "Signal Type" dropdown menu to choose the combination of indicators you want to use.
Adjust Parameters :
Customize the lengths of RSI, CCI, and Stochastic, as well as their overbought/oversold levels, to match your trading preferences.
Interpret Signals :
Look for green arrows and "BUY" labels for buy signals, and red arrows and "SELL" labels for sell signals.
Vertical lines will help you identify the exact bar where the signal occurred.
Tips for Traders
Backtest Thoroughly : Before using this script in live trading, backtest it on historical data to ensure it aligns with your strategy.
Combine with Other Tools : While this script provides reliable signals, consider combining it with other tools like support/resistance levels or volume analysis for additional confirmation.
Avoid Overloading the Chart : If you notice too many signals, try tightening the overbought/oversold levels or switching to a combined signal type (e.g., "RSI & CCI & Stochastic") for fewer but higher-confidence signals.
Rainbow Oscillator The Rainbow Oscillator is a technical indicator that shows prices in overbought or oversold areas. That allows you to catch the price reversal point.
---------------
FEATURES
---------------
.:: Dynamic levels ::.
The indicator levels are divided into several zones, which have a fibonacci ratio. Zones determine the overbought/oversold level. Blue and green level zones are better for buying, red and orange for selling. Dynamic levels are used as replacements for classic levels such as -100 and 100 for the CCI indicator or 30 and 70 for the RSI indicator. Dynamic levels work much better than static levels, as they are more adaptive to the current market situation.
.:: Composite oscillator (3 in 1) ::.
The main signal line of the indicator includes all three oscillators RSI, CCI, Stoch in different ratios. In the settings, you can change the proportions or completely remove one of the oscillators by setting its weight to 0
.:: CCI + RSI + Stoch ratio setting ::.
Each of the oscillators has its own weight in the calculation formula: w2 * cci ( + w1 * ( rsi - 50) + (1 - w2 - w1) * ( stoch - 50), this allows you to create the resulting oscillator from all indicators, depending on the weight of each of them. Each weight value must be between 0 and 1 so that the sum of all weights does not exceed 1.
.:: Smoothing levels and lines of the oscillator ::.
Smoothing the oscillator readings allows you to filter out the noise and get more accurate data. Level offset allows you to customize the support for inputs.
.:: Market Flat ::.
Dynamic creation of levels allows you to find in the price reversal zone, even when the price is in a flat
.:: Sources ::.
You can change the data source for the indicator to the number of longs and shorts for the selected asset. For example, BTCUSDLONGS / BTCUSDSHORTS is perfect for Bitcoin, then the oscillator will work on this data and will not use the quote price.
.:: Trend Detection ::.
The main line of the oscillator has 2 colors - green and red. Red means downtrend, green means uptrend. Trend reversal points are most often found in overbought and oversold zones.
.:: Alerts ::.
Alerts inside for next events: Buy (blue point) Sell (red point) and TrendReversal (change line color)
----------------
TRADING
—-------------
There are several possible entry points for the indicator, let's consider them all.
1) Trend reversal.
Long entry: The indicator line is in the green zone below 0 (oversold), while the line changes color from red (downward) to green (upward)
Short entry: The indicator line is in the red zone above the 0 (overbought) mark, while the line changes color from green to red.
2) Red and blue dots.
Long entry: Blue dot
Short Entry: Red Dot
I prefer to use the first trading method.
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SETTINGS
----------------
.:: Trend Filter (checkbox) ::.
Use trend confirmation for red/blue dots. When enabled, the blue dot requires an uptrend, red dot requires downtrend confirmation before appearing.
.:: Use long/shorts (checkbox) ::.
Change formula to use longs and shorts positions as data source (instead of quote price)
.:: RSI weight / CCI weight / Stoch weight ::.
Weight control coefficients for RSI and CCI indicators, respectively. When you set RSI Weight = 0, equalize the combo of CCI and Stoch , when RSI Weight is zero and CCI Weight is equal to the oscillator value will be plotted
only from Stoch . Intermediate values have a high degree of measurement of each of the three oscillators in percentage terms from 0 to 100. The calculation uses the formula: w2 * cci ( + w1 * ( rsi - 50) + (1 - w2 - w1) * ( stoch - 50),
where w1 is RSI Weight and w2 is CCI Weight, Stoch weight is calculated on the fly as (1 - w2 - w1), so the sum of w1 + w2 should not exceed 1, in this case Stoch will work as opposed to CCI and RSI .
.:: Oscillograph fast and slow periods ::.
The fast period is the period for the moving average used to smooth CCI, RSI and Stoch. The slow period is the same. The fast period must always be less than the slow period.
.:: Oscillograph samples period::.
The period of smoothing the total values of indicators - creates a fast and slow main lines of the oscillator.
.:: Oscillograph samples count::.
How many times smoothing applied to source data.
.:: Oscillator samples type ::.
Smoothing line type e.g. EMA, SMA, RMA …
.:: Level period ::.
Periodically moving averages used to form the levels (zone) of the Rainbow Oscillator indicator
.:: Level offset ::.
Additional setting for shifting levels from zero points. Can be useful for absorbing levels and filtering input signals. The default is 0.
.:: Level redundant ::.
It characterizes the severity of the state at each iteration of the level of the disease. If set to 1 - the levels will not decrease when the oscillator values fall. If it has a value of 0.99 - the levels are reduced by 0.01
each has an oscillator in 1% of cases and is pressed to 0 by more aggressive ones.
.:: Level smooth samples ::.
setting allows you to set the number of strokes per level. Measuring the number of averages with the definition of the type of moving averages
.:: Level MA Type ::.
Type of moving average, average for the formation of a smoothing overbought and oversold zone
NimblrTA BasicThe indicator is a basic implementation of NimblrTA
It includes the following indicators
1) Strength Candle Identification
Body height/Candle height ration > 50% indicates candle is unidirectional and has strength
On a 5 minutes chart, 2 strength candles form a breakout
When combined with CCI 34 30 crossing 100 along with strength candles for Breakout with momentum and entries can be made with CCI 8 5 < -135
2 strength candes at the bottom form bottom confirmation
2 strength candes at the bottom forop of the chart indicates a top confirmation
2) Parabolic Sar
pSAR gives the earliest signal for reversal, if the pSAR changes it's trend it indicates that the reversal is in progress
pSAR indicates CCI 34 5 mins crossing 60 / -60
3) Zig Zag Indication
The ZIgzag indicator helps you identify the waves and overlaps.
These are used to identify Binet's formation, HH, HL, LL and LH.
4) Multi Time Frame
In NimblrTA we primarily use:
CCI 8 5min is used for timing Entry and Exits.
If CCI 8 is lesser than -135 we Enter Buy Trades.
If CCI 8 is greater than +135 we Enter Sell Trades.
CCI 34 30min (Red) is used to ascertain Direction of Trade.
If CCI 34 30min (Red) is greater than +100, the trade must be a Buy Trade.
If CCI 34 30min (Red) is lesser than -100, the trade must be a Sell Trade.
CCI 34 5 mins is used to assess the power of the breakout
CCI 34 5 mins is used to assess reversals and pullbacks
For MTF use
MTF CCI_8_34_5m_30min
Commodity Trend Reactor [BigBeluga]
🔵 OVERVIEW
A dynamic trend-following oscillator built around the classic CCI, enhanced with intelligent price tracking and reversal signals.
Commodity Trend Reactor extends the traditional Commodity Channel Index (CCI) by integrating trend-trailing logic and reactive reversal markers. It visualizes trend direction using a trailing stop system and highlights potential exhaustion zones when CCI exceeds extreme thresholds. This dual-level system makes it ideal for both trend confirmation and mean-reversion alerts.
🔵 CONCEPTS
Based on the CCI (Commodity Channel Index) oscillator, which measures deviation from the average price.
Trend bias is determined by whether CCI is above or below user-defined thresholds.
Trailing price bands are used to lock in trend direction visually on the main chart.
Extreme values beyond ±200 are treated as potential reversal zones.
🔵 FEATURES\
CCI-Based Trend Shifts:
Triggers a bullish bias when CCI crosses above the upper threshold, and bearish when it crosses below the lower threshold.
Adaptive Trailing Stops:
In bullish mode, a trailing stop tracks the lowest price; in bearish mode, it tracks the highest.
Top & Bottom Markers:
When CCI surpasses +200 or drops below -200, it plots colored squares both on the oscillator and on price, marking potential reversal zones.
Background Highlights:
Each time a trend shift occurs, the background is softly colored (lime for bullish, orange for bearish) to highlight the change.
🔵 HOW TO USE
Use the oscillator to monitor when CCI crosses above or below threshold values to detect trend activation.
Enter trades in the direction of the trailing band once the trend bias is confirmed.
Watch for +200 and -200 square markers as warnings of potential mean reversals.
Use trailing stop areas as dynamic support/resistance to manage stop loss and exit strategies.
The background color changes offer clean confirmation of trend transitions on chart.
🔵 CONCLUSION
Commodity Trend Reactor transforms the simple CCI into a complete trend-reactive framework. With real-time trailing logic and clear reversal alerts, it serves both momentum traders and contrarian scalpers alike. Whether you’re trading breakouts or anticipating mean reversions, this indicator provides clarity and structure to your decision-making.
ADW - Volatility MapThe ADW - Volatility Map script is a tool for traders to measure and visualize the volatility of a specific asset. It uses both the Average True Range (ATR) and True Range (TR) values in combination with the Commodity Channel Index (CCI) to provide a comprehensive map of the market's volatility.
Average True Range (ATR) : ATR is a measure of market volatility. It measures the average of true price ranges over a time period. In this script, we use it to calculate the ATR-CCI which gives us a more precise measure of volatility.
True Range (TR) : TR is the greatest distance the price moved during a period. It is used in this script to calculate the TR-CCI, adding another level of detail to our volatility measurement.
Commodity Channel Index (CCI) : CCI is a versatile indicator that can be used to identify a new trend or warn of extreme conditions. We use it to scale and compare the ATR and TR values, hence providing a relative measure of volatility.
The script interprets the CCI values and provides four different conditions for both ATR and TR:
Is Low (CCI < 0)
Is High (CCI > 0)
Is Extremely Low (CCI <= -100)
Is Extremely High (CCI >= 100)
The interpretation of these conditions is displayed on the chart using colour highlighting. When the ATR or TR are low, high, extremely low, or extremely high, the script fills the chart accordingly.
In addition, the script has an option `awaitBarConfirmation` set at the beginning. If this is true, the script will only display indicators for fully formed bars, ensuring that the indicators you see are based on confirmed information.
Note: The colours for different conditions can be customized at the beginning of the script, allowing you to personalize the visual output to match your preferences.
This script is designed to provide a visually clear and immediate understanding of the market's volatility. Use it to enhance your decision-making process and adapt your trading strategy to the current market conditions.
Genesis Matrix [Loxx]Over a decade ago, the Genesis Matrix system was one of best strategies for new traders looking to learn how to really trade trends. Fast forward to 2022, a new version of Genesis Matrix has emerged using TVI, CCI, HL Channel & T3
What is T3?
The T3 moving average is an indicator of an indicator since it includes several EMAs of another EMA. Unlike any other moving average, it adds the so-called volume factor, a value between 0 and 1. Like the SMA, traders typically use this indicator to spot trends and trend reversals.
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
Genesis matrix uses Jurik-Smoothed CCI w/ MA Deviation--a spin on regular CCI .Usually CCI is calculated as using average ( Simple Moving Average ) and mean deviation. In this version, average is replaced with well known JMA (Jurik Moving Average) instead for the smoothing phase and the deviation is replaced with variety moving average deviation. The result in this one is responsive and fast (as expected) and also it is smoother than the original CCI (as expected).
What is SSL?
Known as the SSL, the Semaphore Signal Level channel chart alert is an indicator that combines moving averages to provide you with a clear visual signal of price movement dynamics. In short, it's designed to show you when a price trend is forming. For our purposes here, SSL has been modified to allow for different moving average selection and different closing price look back periods.
What is William Blau Ergodic Tick Volume?
This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods.
William Blau's definition of TVI ergodicity is that the indictor is ergodic when periods are set to 32, 5, 1, and the signal is set to 5. Other combinations are not ergodic, according to Blau.
How to use
Long signal: All 4 indicators turn green
Short signal: All 4 indicators turn red
Included
Bar coloring
Falcon Commodity Channel IndexFalcon CCI indicator is a superb indicator for anyone who wants to dig deep and still float. The trading lifestyle requires you to be one step ahead of everyone else, while doing so, you want to manage risk, enter at correct positions and perhaps exit at correct positions too.
Exiting at correct positions is so over rated, people tend to forget that exit is as important as entry and therefore we need to make sure that we use a good indicator setup that helps us to do that.
Falcon CCI Indicator is a receipe developed by me during recent Bitcoin slump, where we really needed something more to help us get pass through ups and downs, sudden movements and volatility in the market.
This indicator is perfect even for the swing and trend traders, intra day and day traders who want a quick win, rather than invest for long term.
Here are entry and exit plans based on this indicator:-
Setup: I keep CCI at 20, MA at 14 and EMA at 7 but I change it depending on the stock or crypto. Truth is, you can play with it and find what is best for your trading setups, but once you are done, it really works.
Buy: Buy when CCI crosses above MA or EMA , but CCI should be below 50
Sell: Sell when CCI crosses below MA or EMA (You need to choose), CCI should be above 150
There can be other entry and exit based on just CCI values, and therefore I have added some max and min inputs too in the indicator, e.g. Buy when CCI is -180 and sell when CCI is 300.
Trading is a long process.
To all my friends who have lost in futures , or anywhere else in the market, don't worry, just follow the process and follow your own rules. Don't break them.
You can connect with me on Trading View, message me to discuss this further. Happy to take your questions.
P.S you can also add linear regression to this to give you certain price points, for market tops or bottoms within the time frame.
CCO_LibraryLibrary "CCO_Library"
Contrarian Crowd Oscillator (CCO) Library - Multi-oscillator consensus indicator for contrarian trading signals
@author B3AR_Trades
calculate_oscillators(rsi_length, stoch_length, cci_length, williams_length, roc_length, mfi_length, percentile_lookback, use_rsi, use_stochastic, use_williams, use_cci, use_roc, use_mfi)
Calculate normalized oscillator values
Parameters:
rsi_length (simple int) : (int) RSI calculation period
stoch_length (int) : (int) Stochastic calculation period
cci_length (int) : (int) CCI calculation period
williams_length (int) : (int) Williams %R calculation period
roc_length (int) : (int) ROC calculation period
mfi_length (int) : (int) MFI calculation period
percentile_lookback (int) : (int) Lookback period for CCI/ROC percentile ranking
use_rsi (bool) : (bool) Include RSI in calculations
use_stochastic (bool) : (bool) Include Stochastic in calculations
use_williams (bool) : (bool) Include Williams %R in calculations
use_cci (bool) : (bool) Include CCI in calculations
use_roc (bool) : (bool) Include ROC in calculations
use_mfi (bool) : (bool) Include MFI in calculations
Returns: (OscillatorValues) Normalized oscillator values
calculate_consensus_score(oscillators, use_rsi, use_stochastic, use_williams, use_cci, use_roc, use_mfi, weight_by_reliability, consensus_smoothing)
Calculate weighted consensus score
Parameters:
oscillators (OscillatorValues) : (OscillatorValues) Individual oscillator values
use_rsi (bool) : (bool) Include RSI in consensus
use_stochastic (bool) : (bool) Include Stochastic in consensus
use_williams (bool) : (bool) Include Williams %R in consensus
use_cci (bool) : (bool) Include CCI in consensus
use_roc (bool) : (bool) Include ROC in consensus
use_mfi (bool) : (bool) Include MFI in consensus
weight_by_reliability (bool) : (bool) Apply reliability-based weights
consensus_smoothing (int) : (int) Smoothing period for consensus
Returns: (float) Weighted consensus score (0-100)
calculate_consensus_strength(oscillators, consensus_score, use_rsi, use_stochastic, use_williams, use_cci, use_roc, use_mfi)
Calculate consensus strength (agreement between oscillators)
Parameters:
oscillators (OscillatorValues) : (OscillatorValues) Individual oscillator values
consensus_score (float) : (float) Current consensus score
use_rsi (bool) : (bool) Include RSI in strength calculation
use_stochastic (bool) : (bool) Include Stochastic in strength calculation
use_williams (bool) : (bool) Include Williams %R in strength calculation
use_cci (bool) : (bool) Include CCI in strength calculation
use_roc (bool) : (bool) Include ROC in strength calculation
use_mfi (bool) : (bool) Include MFI in strength calculation
Returns: (float) Consensus strength (0-100)
classify_regime(consensus_score)
Classify consensus regime
Parameters:
consensus_score (float) : (float) Current consensus score
Returns: (ConsensusRegime) Regime classification
detect_signals(consensus_score, consensus_strength, consensus_momentum, regime)
Detect trading signals
Parameters:
consensus_score (float) : (float) Current consensus score
consensus_strength (float) : (float) Current consensus strength
consensus_momentum (float) : (float) Consensus momentum
regime (ConsensusRegime) : (ConsensusRegime) Current regime classification
Returns: (TradingSignals) Trading signal conditions
calculate_cco(rsi_length, stoch_length, cci_length, williams_length, roc_length, mfi_length, consensus_smoothing, percentile_lookback, use_rsi, use_stochastic, use_williams, use_cci, use_roc, use_mfi, weight_by_reliability, detect_momentum)
Calculate complete CCO analysis
Parameters:
rsi_length (simple int) : (int) RSI calculation period
stoch_length (int) : (int) Stochastic calculation period
cci_length (int) : (int) CCI calculation period
williams_length (int) : (int) Williams %R calculation period
roc_length (int) : (int) ROC calculation period
mfi_length (int) : (int) MFI calculation period
consensus_smoothing (int) : (int) Consensus smoothing period
percentile_lookback (int) : (int) Percentile ranking lookback
use_rsi (bool) : (bool) Include RSI
use_stochastic (bool) : (bool) Include Stochastic
use_williams (bool) : (bool) Include Williams %R
use_cci (bool) : (bool) Include CCI
use_roc (bool) : (bool) Include ROC
use_mfi (bool) : (bool) Include MFI
weight_by_reliability (bool) : (bool) Apply reliability weights
detect_momentum (bool) : (bool) Calculate momentum and acceleration
Returns: (CCOResult) Complete CCO analysis results
calculate_cco_default()
Calculate CCO with default parameters
Returns: (CCOResult) CCO result with standard settings
cco_consensus_score()
Get just the consensus score with default parameters
Returns: (float) Consensus score (0-100)
cco_consensus_strength()
Get just the consensus strength with default parameters
Returns: (float) Consensus strength (0-100)
is_panic_bottom()
Check if in panic bottom condition
Returns: (bool) True if panic bottom signal active
is_euphoric_top()
Check if in euphoric top condition
Returns: (bool) True if euphoric top signal active
bullish_consensus_reversal()
Check for bullish consensus reversal
Returns: (bool) True if bullish reversal detected
bearish_consensus_reversal()
Check for bearish consensus reversal
Returns: (bool) True if bearish reversal detected
bearish_divergence()
Check for bearish divergence
Returns: (bool) True if bearish divergence detected
bullish_divergence()
Check for bullish divergence
Returns: (bool) True if bullish divergence detected
get_regime_name()
Get current regime name
Returns: (string) Current consensus regime name
get_contrarian_signal()
Get contrarian signal
Returns: (string) Current contrarian trading signal
get_position_multiplier()
Get position size multiplier
Returns: (float) Recommended position sizing multiplier
OscillatorValues
Individual oscillator values
Fields:
rsi (series float) : RSI value (0-100)
stochastic (series float) : Stochastic value (0-100)
williams (series float) : Williams %R value (0-100, normalized)
cci (series float) : CCI percentile value (0-100)
roc (series float) : ROC percentile value (0-100)
mfi (series float) : Money Flow Index value (0-100)
ConsensusRegime
Consensus regime classification
Fields:
extreme_bearish (series bool) : Extreme bearish consensus (<= 20)
moderate_bearish (series bool) : Moderate bearish consensus (20-40)
mixed (series bool) : Mixed consensus (40-60)
moderate_bullish (series bool) : Moderate bullish consensus (60-80)
extreme_bullish (series bool) : Extreme bullish consensus (>= 80)
regime_name (series string) : Text description of current regime
contrarian_signal (series string) : Contrarian trading signal
TradingSignals
Trading signals
Fields:
panic_bottom_signal (series bool) : Extreme bearish consensus with high strength
euphoric_top_signal (series bool) : Extreme bullish consensus with high strength
consensus_reversal_bullish (series bool) : Bullish consensus reversal
consensus_reversal_bearish (series bool) : Bearish consensus reversal
bearish_divergence (series bool) : Bearish price-consensus divergence
bullish_divergence (series bool) : Bullish price-consensus divergence
strong_consensus (series bool) : High consensus strength signal
CCOResult
Complete CCO calculation results
Fields:
consensus_score (series float) : Main consensus score (0-100)
consensus_strength (series float) : Consensus strength (0-100)
consensus_momentum (series float) : Rate of consensus change
consensus_acceleration (series float) : Rate of momentum change
oscillators (OscillatorValues) : Individual oscillator values
regime (ConsensusRegime) : Regime classification
signals (TradingSignals) : Trading signals
position_multiplier (series float) : Recommended position sizing multiplier
C.S.S.R_RYU INDICATOR단기 STO_MTM, 중기 STO_MTM, CCI & RSI를 계산하여 차트에 반영하는 보조지표
설명:
단기 STO_MTM(스토캐스틱 모멘텀) (5,3)과 중기 STO_MTM (14,3)로 현재 차트의 단기 진행 방향성을 파악하고,
CCI와 RSI 보조지표를 통해 현재 구간은 과매수 혹은 과매도 구간인지 파악 후,
해당 신호들이 모두 해당될 때, 시그널을 플로팅 하는 보조지표
BUY SIGNAL: 단기 Sto_mtm과 중기 Sto_mtm이 동시에 -40이하이면서, CCI가 -100이하, RSI가 30이하일 때
초록색 십자가로 표시
SELL SIGNAL: 단기 Sto_mtm과 중기 Sto_mtm이 동시에 40이상이면서, CCI가 100이상, RSI가 70이상일 때
빨간색 십자가로 표시
(4개의 지표중 하나라도 해당되지 않으면 표시 X)
사용 방법:
시그널의 직관성을 위해 설정에서 RSI에 관한 설정을 제외하고 전부 안보이게 설정(이유: STO_MTM과 CCI보다 RSI의 그래프가 훨씬 직관적이기 때문)
기본적으로 시간대가 클수록 해당 시그널의 신뢰도가 올라간다고 생각함, 4시간>1시간>30분>15분 이런식으로 신뢰도가 올라가지만,
초단기 (1,5,15분봉)에서도 과매도, 과매수 구간을 캐치하는데 시각적으로 직관적이게 만듦.
사용예시:
4시간봉, 1시간봉에서 현재 진행 추세 확인 후, 큰 프레임(일봉,4시간봉)에서 상승 추세일 경우 짧은 시간 프레임(1시간,15분,5분)에서 해당 시그널이 발생했을 때 진입
Short-term STO_MTM, medium-term STO_MTM, CCI & RSI auxiliary indicators reflecting calculations on the chart.
Description:
Calculates short-term STO_MTM (5,3) and medium-term STO_MTM (14,3) to determine the short-term directional bias of the current chart. Utilizes CCI and RSI auxiliary indicators to identify whether the current range is overbought or oversold. When all signals are met, plots a signal indicator.
BUY SIGNAL: Indicates a green cross when both short-term STO_MTM and medium-term STO_MTM are below -40 simultaneously, with CCI below -100, and RSI below 30.
SELL SIGNAL: Indicates a red cross when both short-term STO_MTM and medium-term STO_MTM are above 40 simultaneously, with CCI above 100, and RSI above 70.
(If none of the four indicators meet the criteria, no signal is plotted.)
how to use:
For clarity of signals, exclude all settings related to RSI from the settings menu. Reason being, the graph of RSI is much more intuitive compared to STO_MTM and CCI.
Generally, the higher the timeframe, the higher the reliability of the signal. Confidence in the signal increases as follows: 4-hour > 1-hour > 30-minute > 15-minute. However, designed to visually capture overbought and oversold zones even in short-term (1, 5, 15-minute candles).
Example of use:
Confirm the current trend on 4-hour and 1-hour candles. If there is an uptrend in larger time frames (daily, 4-hour), consider entry when the signal occurs on shorter time frames (1-hour, 15-minute, 5-minute).
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
• Visit TradingView's official website.
• Click on the "Join for free" or "Sign up" button.
• Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
• Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
• To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
• Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
• Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
• Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
• This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
• Depending on whether you have the script or need to find it, there are two paths:
• If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
• If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
• After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
• Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
• Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
• With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
• Buy: When price closes above the Supertrend line.
• Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
• Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
• Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
• Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
• Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
• Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
• Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
• Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
• Example: A 2% SL on an entry at $100 would trigger a sell at $98.
• Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
• Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
• Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
• Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
• Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
• Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
• Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
GKD-C Genesis Matrix [Loxx]Giga Kaleidoscope GKD-C Genesis Matrix is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Genesis Matrix as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Genesis Matrix
What is T3?
The T3 moving average is an indicator of an indicator since it includes several EMAs of another EMA . Unlike any other moving average, it adds the so-called volume factor, a value between 0 and 1. Like the SMA , traders typically use this indicator to spot trends and trend reversals.
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
Genesis matrix uses Jurik-Smoothed CCI w/ MA Deviation--a spin on regular CCI .Usually CCI is calculated as using average ( Simple Moving Average ) and mean deviation. In this version, average is replaced with well known JMA (Jurik Moving Average) instead for the smoothing phase and the deviation is replaced with variety moving average deviation. The result in this one is responsive and fast (as expected) and also it is smoother than the original CCI (as expected).
What is SSL?
Known as the SSL , the Semaphore Signal Level channel chart alert is an indicator that combines moving averages to provide you with a clear visual signal of price movement dynamics. In short, it's designed to show you when a price trend is forming. For our purposes here, SSL has been modified to allow for different moving average selection and different closing price look back periods.
What is William Blau Ergodic Tick Volume?
This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods.
William Blau's definition of TVI ergodicity is that the indictor is ergodic when periods are set to 32, 5, 1, and the signal is set to 5. Other combinations are not ergodic, according to Blau.
What is Genesis Matrix?
Genesis Matrix combines all 4 indicators into one signal, long or short
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
