Multi-Period Technical AnalysisThis indicator table provides a comprehensive view of key technical indicators across different time periods. Here's what each component displays:
Layout:
Top row contains headers for each column
Left-most column shows time periods (Current, -2, -4, -6, -8 candles)
Color coding: Current period is highlighted in green, historical periods in gray
Indicators Displayed:
Price: The actual closing price for each period
MFI (Money Flow Index): A momentum indicator combining price and volume, ranging 0-100
CCI (Commodity Channel Index): Shows overbought/oversold conditions and trend strength
Stochastic K & D: Two lines showing momentum, both ranging 0-100
K line: The faster, more sensitive line
D line: The slower, smoothed line
Williams %R: Shows overbought/oversold levels, ranging -100 to 0
MACD: Two lines showing trend direction and momentum
MACD line: The difference between fast and slow moving averages
Signal line: A smoothed version of the MACD line
Purpose:
Allows traders to see how indicators have evolved over the last few periods
Helps identify trends by comparing current values with historical ones
Provides a quick way to spot divergences between price and indicators
Useful for comparing multiple indicators at specific points in time
Chỉ báo và chiến lược
Kernel Regression Envelope with SMI OscillatorThis script combines the predictive capabilities of the **Nadaraya-Watson estimator**, implemented by the esteemed jdehorty (credit to him for his excellent work on the `KernelFunctions` library and the original Nadaraya-Watson Envelope indicator), with the confirmation strength of the **Stochastic Momentum Index (SMI)** to create a dynamic trend reversal strategy. The core idea is to identify potential overbought and oversold conditions using the Nadaraya-Watson Envelope and then confirm these signals with the SMI before entering a trade.
**Understanding the Nadaraya-Watson Envelope:**
The Nadaraya-Watson estimator is a non-parametric regression technique that essentially calculates a weighted average of past price data to estimate the current underlying trend. Unlike simple moving averages that give equal weight to all past data within a defined period, the Nadaraya-Watson estimator uses a **kernel function** (in this case, the Rational Quadratic Kernel) to assign weights. The key parameters influencing this estimation are:
* **Lookback Window (h):** This determines how many historical bars are considered for the estimation. A larger window results in a smoother estimation, while a smaller window makes it more reactive to recent price changes.
* **Relative Weighting (alpha):** This parameter controls the influence of different time frames in the estimation. Lower values emphasize longer-term price action, while higher values make the estimator more sensitive to shorter-term movements.
* **Start Regression at Bar (x\_0):** This allows you to exclude the potentially volatile initial bars of a chart from the calculation, leading to a more stable estimation.
The script calculates the Nadaraya-Watson estimation for the closing price (`yhat_close`), as well as the highs (`yhat_high`) and lows (`yhat_low`). The `yhat_close` is then used as the central trend line.
**Dynamic Envelope Bands with ATR:**
To identify potential entry and exit points around the Nadaraya-Watson estimation, the script uses **Average True Range (ATR)** to create dynamic envelope bands. ATR measures the volatility of the price. By multiplying the ATR by different factors (`nearFactor` and `farFactor`), we create multiple bands:
* **Near Bands:** These are closer to the Nadaraya-Watson estimation and are intended to identify potential immediate overbought or oversold zones.
* **Far Bands:** These are further away and can act as potential take-profit or stop-loss levels, representing more extreme price extensions.
The script calculates both near and far upper and lower bands, as well as an average between the near and far bands. This provides a nuanced view of potential support and resistance levels around the estimated trend.
**Confirming Reversals with the Stochastic Momentum Index (SMI):**
While the Nadaraya-Watson Envelope identifies potential overextended conditions, the **Stochastic Momentum Index (SMI)** is used to confirm a potential trend reversal. The SMI, unlike a traditional stochastic oscillator, oscillates around a zero line. It measures the location of the current closing price relative to the median of the high/low range over a specified period.
The script calculates the SMI on a **higher timeframe** (defined by the "Timeframe" input) to gain a broader perspective on the market momentum. This helps to filter out potential whipsaws and false signals that might occur on the current chart's timeframe. The SMI calculation involves:
* **%K Length:** The lookback period for calculating the highest high and lowest low.
* **%D Length:** The period for smoothing the relative range.
* **EMA Length:** The period for smoothing the SMI itself.
The script uses a double EMA for smoothing within the SMI calculation for added smoothness.
**How the Indicators Work Together in the Strategy:**
The strategy enters a long position when:
1. The closing price crosses below the **near lower band** of the Nadaraya-Watson Envelope, suggesting a potential oversold condition.
2. The SMI crosses above its EMA, indicating positive momentum.
3. The SMI value is below -50, further supporting the oversold idea on the higher timeframe.
Conversely, the strategy enters a short position when:
1. The closing price crosses above the **near upper band** of the Nadaraya-Watson Envelope, suggesting a potential overbought condition.
2. The SMI crosses below its EMA, indicating negative momentum.
3. The SMI value is above 50, further supporting the overbought idea on the higher timeframe.
Trades are closed when the price crosses the **far band** in the opposite direction of the trade. A stop-loss is also implemented based on a fixed value.
**In essence:** The Nadaraya-Watson Envelope identifies areas where the price might be deviating significantly from its estimated trend. The SMI, calculated on a higher timeframe, then acts as a confirmation signal, suggesting that the momentum is shifting in the direction of a potential reversal. The ATR-based bands provide dynamic entry and exit points based on the current volatility.
**How to Use the Script:**
1. **Apply the script to your chart.**
2. **Adjust the "Kernel Settings":**
* **Lookback Window (h):** Experiment with different values to find the smoothness that best suits the asset and timeframe you are trading. Lower values make the envelope more reactive, while higher values make it smoother.
* **Relative Weighting (alpha):** Adjust to control the influence of different timeframes on the Nadaraya-Watson estimation.
* **Start Regression at Bar (x\_0):** Increase this value if you want to exclude the initial, potentially volatile, bars from the calculation.
* **Stoploss:** Set your desired stop-loss value.
3. **Adjust the "SMI" settings:**
* **%K Length, %D Length, EMA Length:** These parameters control the sensitivity and smoothness of the SMI. Experiment to find settings that work well for your trading style.
* **Timeframe:** Select the higher timeframe you want to use for SMI confirmation.
4. **Adjust the "ATR Length" and "Near/Far ATR Factor":** These settings control the width and sensitivity of the envelope bands. Smaller ATR lengths make the bands more reactive to recent volatility.
5. **Customize the "Color Settings"** to your preference.
6. **Observe the plots:**
* The **Nadaraya-Watson Estimation (yhat)** line represents the estimated underlying trend.
* The **near and far upper and lower bands** visualize potential overbought and oversold zones based on the ATR.
* The **fill areas** highlight the regions between the near and far bands.
7. **Look for entry signals:** A long entry is considered when the price touches or crosses below the lower near band and the SMI confirms upward momentum. A short entry is considered when the price touches or crosses above the upper near band and the SMI confirms downward momentum.
8. **Manage your trades:** The script provides exit signals when the price crosses the far band. The fixed stop-loss will also close trades if the price moves against your position.
**Justification for Combining Nadaraya-Watson Envelope and SMI:**
The combination of the Nadaraya-Watson Envelope and the SMI provides a more robust approach to identifying potential trend reversals compared to using either indicator in isolation. The Nadaraya-Watson Envelope excels at identifying potential areas where the price is overextended relative to its recent history. However, relying solely on the envelope can lead to false signals, especially in choppy or volatile markets. By incorporating the SMI as a confirmation tool, we add a momentum filter that helps to validate the potential reversals signaled by the envelope. The higher timeframe SMI further helps to filter out noise and focus on more significant shifts in momentum. The ATR-based bands add a dynamic element to the entry and exit points, adapting to the current market volatility. This mashup aims to leverage the strengths of each indicator to create a more reliable trading strategy.
AriVestHub_Inside Bars/Candles
Introduction:
This script identifies and marks inside bars on your TradingView charts. An inside bar pattern is a two-bar candlestick pattern where the second bar is entirely within the range of the first bar. This pattern often signals consolidation and can indicate a potential breakout or trend continuation.
Trading Signals:
Inside bars can indicate potential trading signals. Traders often watch for breakouts above or below the inside bar to identify potential entry points.
Customization:
You can customize the colors, styles, and labels to suit your preferences.
Conclusion
This script is a useful tool for traders looking to identify inside bar patterns on their TradingView charts. By highlighting these patterns, traders can make more informed trading decisions based on potential market consolidations and breakouts.
EMA Status Table - FelipeEMA Status Table - Felipe For easier scanning of EMAs accross multiple timeframes.
UIABu indikator bir neçə texniki analiz alətini birləşdirərək ticarət qərarlarını avtomatlaşdırır. İndikatorun əsas funksiyaları:
1. **ADX (Average Directional Index):** Trendi müəyyən edir və trendin gücünü ölçür.
2. **RSI (Relative Strength Index):** Bazarda alınıb-satılma həddini göstərir.
3. **MACD (Moving Average Convergence Divergence):** Trendin istiqamətini və dəyişiklik momentini izləyir.
4. **Pivot Nöqtələri:** Dəstək və müqavimət səviyyələrini təyin edir.
**İşləmə prinsipi:**
İndikator hər bir texniki alətin verdiyi al və ya sat siqnallarını təhlil edir. Əgər bir neçə alət bir istiqamətdə siqnal verirsə, müvafiq qərar qəbul olunur:
- **Alış siqnalı:** Ekranda yaşıl fonlu, ağ yazılı "AL" lövhəsi görünür.
- **Satış siqnalı:** Ekranda qırmızı fonlu, ağ yazılı "SAT" lövhəsi görünür.
İstifadəçi üçün sadə interfeys təmin olunub, indikator yalnız qərarı göstərir, digər vizual məlumatları gizlədir. Bu, ticarət prosesində diqqəti cəmləmək üçün optimallaşdırılıb.
Combined DCA StrategyThis script compares two investment strategies:
Fixed DCA Strategy: Invests a fixed amount monthly, regardless of market conditions.
Dynamic DCA Strategy: Invests only when a price drop (event) meets defined thresholds (daily, weekly, or monthly).
Parameters:
Start Date: When investments begin.
Monthly Budget: Amount allocated for dynamic investments.
Drop Thresholds: % price drops to trigger dynamic investments.
Fixed Investment: Monthly fixed amount.
Results:
Dynamic Strategy: Total invested and portfolio value when investing during events.
Fixed Strategy: Total invested and portfolio value with regular monthly investments.
Perfect for comparing reactive (event-based) and systematic (fixed) investment strategies.
My script
//@version=5
indicator("USD/IRR Custom Data", overlay=true)
// دادههای شما
var float data = array.from(42400, 42500, 42600, 42700) // نرخ دلار
var int dates = array.from(20240101, 20240102, 20240103, 20240104) // تاریخ (YYYYMMDD)
// رسم نمودار
var lineColor = color.new(color.blue, 0)
for i = 0 to array.size(data) - 1
label.new(bar_index + i, array.get(data, i), tostring(array.get(dates, i)), color=lineColor)
My script
Ebrahim Shojaee
1:20 PM (0 minutes ago)
to me
//@version=5
indicator("USD/IRR Custom Data", overlay=true)
// دادههای شما
var float data = array.from(42400, 42500, 42600, 42700) // نرخ دلار
var int dates = array.from(20240101, 20240102, 20240103, 20240104) // تاریخ (YYYYMMDD)
// رسم نمودار
var lineColor = color.new(color.blue, 0)
for i = 0 to array.size(data) - 1
label.new(bar_index + i, array.get(data, i), tostring(array.get(dates, i)), color=lineColor)
HH||LL||KCThis script is written in Pine Script version 5, designed for TradingView. It defines a custom trading indicator named **HH||LL||KC**. Here's a breakdown of its components and functionality:
---
### **Indicator Overview**
- **Purpose**: Combines multiple technical analysis tools to generate trading signals, including Keltner Channels, RSI-based stochastic oscillator, and conditions for buy and sell alerts.
- **Overlay**: The indicator plots directly on the price chart (overlay = `true`).
- **Precision**: Values are displayed with 2 decimal points.
---
### **Key Components**
1. **Keltner Channels**:
- Defined by `ma`, `upper`, and `lower` bands.
- Uses an exponential moving average (EMA) as the basis (`ma`).
- The upper and lower bands are derived from the range of highs and lows over the specified `length` (default is 100), multiplied by a factor (`mult`, default is 0.5).
2. **RSI Stochastic Oscillator**:
- Combines RSI and Stochastic calculations to create `%K` and `%D` lines:
- RSI is calculated over `lengthRSI` (default 14) using the specified source (`close` by default).
- Stochastic uses `lengthStoch` (default 14) smoothed by `smoothK` and `smoothD`.
- `%K` and `%D` are used for overbought/oversold signals and crossovers.
3. **Highs, Lows, and Alerts**:
- Identifies:
- **Highs (HH)** when `%K > 80`.
- **Lows (LL)** when `%K < 20`.
- Generates `red` and `green` points based on crossovers of `%K` with overbought/oversold levels.
- A 36-period EMA is plotted as an additional trend indicator.
4. **Additional Plots**:
- `ta.linreg(close, 21, 0)`: Short-term linear regression line.
- `ta.linreg(close, 375, 0)`: Long-term linear regression line.
- Plots for `red` and `green` points for potential reversal levels.
- Buy and Sell signal markers:
- **Buy**: Appears below the bar when `condi1` is true.
- **Sell**: Appears above the bar when `condi2` is true.
5. **Alerts**:
- Triggered when:
- `%K` crosses `%D` with specific conditions (e.g., close above `green` or below `red`).
- Defined via `alertcondition`.
---
### **Trading Logic**
1. **Buy Signal (condi1)**:
- EMA is above the upper Keltner Channel.
- Red marker (`red`) is above the EMA, and:
- Current or past candles open and close above the marker.
- `%K` is below 20, and `%K` crosses `%D`.
2. **Sell Signal (condi2)**:
- EMA is below the lower Keltner Channel.
- Green marker (`green`) is below the EMA, and:
- Current or past candles open below the marker.
- `%K` is above 80, and `%K` crosses under `%D`.
---
### **Visualization**
- **Keltner Channel**: Blue bands for upper and lower limits, with a gray center line.
- **Trend Lines**:
- Orange for short-term linear regression.
- White for long-term linear regression and EMA.
- **Markers**:
- Green for buy signals.
- Red for sell signals.
- **Cross Points**:
- Green dots (`green`) for potential buy reversals.
- Red dots (`red`) for potential sell reversals.
---
### **Use Case**
Traders can use this indicator for:
- Identifying overbought/oversold conditions.
- Spotting trend reversals and continuation patterns.
- Generating buy/sell alerts based on multi-condition logic.
It is versatile and integrates several technical analysis concepts into a single script.
HH||LL||KCThis script is written in Pine Script version 5, designed for TradingView. It defines a custom trading indicator named **HH||LL||KC**. Here's a breakdown of its components and functionality:
---
### **Indicator Overview**
- **Purpose**: Combines multiple technical analysis tools to generate trading signals, including Keltner Channels, RSI-based stochastic oscillator, and conditions for buy and sell alerts.
- **Overlay**: The indicator plots directly on the price chart (overlay = `true`).
- **Precision**: Values are displayed with 2 decimal points.
---
### **Key Components**
1. **Keltner Channels**:
- Defined by `ma`, `upper`, and `lower` bands.
- Uses an exponential moving average (EMA) as the basis (`ma`).
- The upper and lower bands are derived from the range of highs and lows over the specified `length` (default is 100), multiplied by a factor (`mult`, default is 0.5).
2. **RSI Stochastic Oscillator**:
- Combines RSI and Stochastic calculations to create `%K` and `%D` lines:
- RSI is calculated over `lengthRSI` (default 14) using the specified source (`close` by default).
- Stochastic uses `lengthStoch` (default 14) smoothed by `smoothK` and `smoothD`.
- `%K` and `%D` are used for overbought/oversold signals and crossovers.
3. **Highs, Lows, and Alerts**:
- Identifies:
- **Highs (HH)** when `%K > 80`.
- **Lows (LL)** when `%K < 20`.
- Generates `red` and `green` points based on crossovers of `%K` with overbought/oversold levels.
- A 36-period EMA is plotted as an additional trend indicator.
4. **Additional Plots**:
- `ta.linreg(close, 21, 0)`: Short-term linear regression line.
- `ta.linreg(close, 375, 0)`: Long-term linear regression line.
- Plots for `red` and `green` points for potential reversal levels.
- Buy and Sell signal markers:
- **Buy**: Appears below the bar when `condi1` is true.
- **Sell**: Appears above the bar when `condi2` is true.
5. **Alerts**:
- Triggered when:
- `%K` crosses `%D` with specific conditions (e.g., close above `green` or below `red`).
- Defined via `alertcondition`.
---
### **Trading Logic**
1. **Buy Signal (condi1)**:
- EMA is above the upper Keltner Channel.
- Red marker (`red`) is above the EMA, and:
- Current or past candles open and close above the marker.
- `%K` is below 20, and `%K` crosses `%D`.
2. **Sell Signal (condi2)**:
- EMA is below the lower Keltner Channel.
- Green marker (`green`) is below the EMA, and:
- Current or past candles open below the marker.
- `%K` is above 80, and `%K` crosses under `%D`.
---
### **Visualization**
- **Keltner Channel**: Blue bands for upper and lower limits, with a gray center line.
- **Trend Lines**:
- Orange for short-term linear regression.
- White for long-term linear regression and EMA.
- **Markers**:
- Green for buy signals.
- Red for sell signals.
- **Cross Points**:
- Green dots (`green`) for potential buy reversals.
- Red dots (`red`) for potential sell reversals.
---
### **Use Case**
Traders can use this indicator for:
- Identifying overbought/oversold conditions.
- Spotting trend reversals and continuation patterns.
- Generating buy/sell alerts based on multi-condition logic.
It is versatile and integrates several technical analysis concepts into a single script.
EMA 9 and 21 Crossovertrading ema 9 and 2 crossover and its all about to scalping suitable for 15 min and 5 min
Custom Price Red Line IndicatorCustom Price Red Line Indicator is a tool used in trading platforms to visually represent key price levels on a chart. This indicator typically draws a red line at a specific price, which can serve as a threshold or a level of interest, such as a resistance or support level. It is customizable to allow traders to set the price at which the red line will appear, making it useful for highlighting critical price points that may signal potential trade entries or exits.
Key Features:
• Customizable Price Level: Set the exact price where the red line will be drawn.
• Visual Signal: The red line acts as a visual aid to indicate important price levels.
• Alerts: Traders can set alerts when the price crosses the red line to track market movements.
• Trend Analysis: The red line can represent key support, resistance, or psychological price levels for trend analysis.
This indicator can be used in various timeframes and across different asset classes to assist traders in their technical analysis.
TAPDA Hourly Open Lines (Candle Body Box)-What is TAPDA?
TAPDA (Time and Price Displacement Analysis) is based on the belief that markets are driven by algorithms that respond to key time-based price levels, such as session opens. Traders who follow TAPDA track these levels to anticipate price movements, reversals, and breakouts, aligning their strategies with the patterns left by these underlying algorithms. By plotting lines at specific hourly opens, the indicator allows traders to visualize where the market may react, providing a structured way to trade alongside the algorithmic flow.
***************
**Sauce Alert** "TAPDA levels essentially act like algorithmic support and resistance" By plotting these hourly opens, the TAPDA Hourly Open Lines indicator helps traders track where algorithms might engage with the market.
***************
-How It Works:
The indicator draws a "candle body box" at selected hours, marking the open and close prices to highlight price ranges at significant times. This creates dynamic zones that reflect market sentiment and structure throughout the day. TAPDA levels are commonly respected by price, making them useful for identifying potential entry points, stop placements, and trend reversals.
-Key Features:
Customizable Hour Levels – Enable or disable specific times to fit your trading approach.
Color & Label Control – Assign unique colors and labels to each hour for better visualization.
Line Extension – Project lines for up to 24 hours into the future to track key levels.
Dynamic Cleanup – Old lines automatically delete to maintain chart clarity.
Manual Time Offset – Adjust for broker or server time zone differences.
-Current Development:
This indicator is still in development, with further updates planned to enhance functionality and customization. If you find this script helpful, feel free to copy the code and stay tuned for new features and improvements!
Fuerza Relativa (RS)Compara el precio de cierre de tu activo contra el SPY (S&P 500)
Muestra la fuerza relativa como una línea azul
Incluye una media móvil roja de la RS para identificar tendencias
El período es ajustable según tus necesidades de trading
Stochastic RSI with Buy/Sell/GOAL SignalsI use this on my 2 week Stoch RSI. Once Goal is triggered... I then look at 3 or 6 day to exit position Once a sell is triggered. You can Use the same technique for lower time frames.
Once per K crossing 80: This script will display the "GOAL" label the first time the %K line crosses over 80, and it prevents further labels until the %K line goes below 80.
Reset condition: The label can be triggered again once %K crosses 80 in either direction (up or down). This happens only once for each crossing above 80.
So, this will show the "GOAL" label only once each time the K line crosses above 80 for the first time and won't show again until it crosses below 80 and comes back above 80 again.
Let me know if this now fits your expectations!
2 Velas Rojas Recupera Bajo2 Velas Rojas Recupera Bajo, util en Velas Diarias para hacer swing trading
RSI Overbought/Oversold Entry Signals Этот индикатор на платформе **TradingView** использует **RSI (Индекс относительной силы)** для определения зон **перекупленности** и **перепроданности**. Он автоматически генерирует сигналы для входа в сделку, основанные на пересечении значений **RSI** с заранее заданными уровнями (30 и 70), что помогает трейдерам быстро идентифицировать возможные моменты для покупки или продажи.
**Основные функции:**
- **Покупка**: Индикатор генерирует сигнал для покупки, когда **RSI** пересекает уровень **перепроданности** (30) снизу вверх.
- **Продажа**: Индикатор генерирует сигнал для продажи, когда **RSI** пересекает уровень **перекупленности** (70) сверху вниз.
- **Визуальные сигналы**:
- Зелёная стрелка **"BUY"** появляется под свечой, когда сигнал на покупку.
- Красная стрелка **"SELL"** появляется над свечой, когда сигнал на продажу.
- **Изменение фона**:
- Когда **RSI** превышает уровень 70, фон графика становится красным, что сигнализирует о перекупленности.
- Когда **RSI** ниже 30, фон становится зелёным, что указывает на перепроданность.
Этот индикатор прост в использовании и может быть полезен для трейдеров, которые хотят быстро определить, находится ли актив в зоне перекупленности или перепроданности. Однако, следует учитывать, что сигналы могут быть ложными, особенно в условиях бокового рынка. Для повышения точности можно использовать дополнительные фильтры или индикаторы.
This indicator on the **TradingView** platform uses the **RSI (Relative Strength Index)** to identify **overbought** and **oversold** zones. It automatically generates signals for trade entries based on the RSI crossing predefined levels (30 and 70), helping traders quickly spot potential buy or sell opportunities.
**Key features:**
- **Buy signal**: The indicator generates a buy signal when the **RSI** crosses the **oversold** level (30) from below.
- **Sell signal**: The indicator generates a sell signal when the **RSI** crosses the **overbought** level (70) from above.
- **Visual signals**:
- A green **"BUY"** arrow appears below the candle when a buy signal is generated.
- A red **"SELL"** arrow appears above the candle when a sell signal is generated.
- **Background color change**:
- When the **RSI** exceeds the 70 level, the chart background turns red, indicating overbought conditions.
- When the **RSI** is below 30, the background turns green, indicating oversold conditions.
This indicator is simple to use and can be helpful for traders who want to quickly assess if an asset is in an overbought or oversold state. However, it’s important to note that signals can be false, especially in sideways market conditions. To increase accuracy, additional filters or indicators may be used.
### Важные замечания:
- Индикатор использует стандартные уровни **RSI** (30 и 70), что может приводить к ложным сигналам в условиях бокового рынка.
- Для улучшения стратегии рекомендуется использовать дополнительные фильтры (например, трендовые индикаторы или объемы), чтобы минимизировать ложные сигналы.
My script// © fxscoopy
//@version=6
indicator("My script")
plot(close)
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
