Parabolic SAR Deviation [BigBeluga]Parabolic SAR + Deviation is an enhanced Parabolic SAR indicator designed to detect trends while incorporating deviation levels and trend change markers for added depth in analyzing price movements.
🔵 Key Features:
> Parabolic SAR with Optimized Settings:
Built on the classic Parabolic SAR, this version uses predefined default settings to enhance its ability to detect and confirm trends.
Clear trend direction is indicated by smooth trend lines, allowing traders to easily visualize market movements.
Trend Change Markers:
When a trend change occurs based on the SAR, the indicator plots a triangle at the trend change point.
The triangle is accompanied by the price value of the trend change, allowing traders to identify key reversal points instantly.
> Deviation Levels:
Four deviation levels are automatically plotted when a trend change occurs (up or down).
Uptrend: Deviation levels are positioned above the entry point.
Downtrend: Deviation levels are positioned below the entry point.
Levels are labeled with numbers 1 to 4, representing increasing degrees of deviation.
> Dynamic Level Updates:
When the price crosses a deviation level, the level becomes dashed and its label changes to display the volume at the breakout point.
This volume information helps traders assess the strength of the breakout and the potential for trend continuation or reversal.
> Volume Analysis at Breakpoints:
The volume displayed at crossed deviation levels provides insight into the strength of the price movement.
High volume at a breakout may indicate strong momentum, while low volume could signal potential exhaustion or a false breakout.
🔵 Usage:
Identify Trends: Use the trend change triangles and smooth SAR trend lines to confirm whether the market is trending up or down.
Analyze Deviation Levels: Monitor deviation levels **1–4** to identify potential breakout points and assess the degree of price deviation from the entry point.
Observe Trend Change Points: Utilize the triangles and price labels to quickly spot significant trend changes.
Volume Insights: Evaluate the volume displayed at crossed levels to determine the strength of the breakout and assess the likelihood of trend continuation or reversal.
Risk Management: Use deviation levels as potential stop-loss or take-profit zones, depending on the strength of the trend and volume conditions.
Parabolic SAR + Deviation is an essential tool for traders seeking a straightforward yet powerful method to identify trends, analyze price deviations, and gain insights into volume dynamics at critical breakout and trend change levels.
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Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Quantum Moving Average - QMA (TechnoBlooms)The Quantum Moving Average (QMA) is an innovative and advanced Moving Average model designed for traders seeking a more adaptive and precise trend analysis. Unlike traditional moving averages, it integrates a multi-timeframe approach, dynamically selecting and weighting four different timeframes to provide traders with more accurate and reliable trend prediction.
Key Features
Multi-Timeframe averaging
QMA calculates its value based on four different timeframes, offering a broader perspective on market trends.
Dynamic Weighting Mechanism
Unlike fixed weight Moving Averages, QMA assigns adaptive weightage to the selected timeframes, enhancing its responsiveness.
Superior Trend Detection
Provides a smoother and more reliable trend curve reducing noise or false signals.
Enhanced Market Analysis
QMA helps traders identify trend shifts earlier by incorporating multi-timeframe confluence.
TradZoo - EMA Crossover IndicatorDescription:
This EMA Crossover Trading Strategy is designed to provide precise Buy and Sell signals with confirmation, defined targets, and stop-loss levels, ensuring strong risk management. Additionally, a 30-candle gap rule is implemented to avoid frequent signals and enhance trade accuracy.
📌 Strategy Logic
✅ Exponential Moving Averages (EMAs):
Uses EMA 50 & EMA 200 for trend direction.
Buy signals occur when price action confirms EMA crossovers.
✅ Entry Confirmation:
Buy Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes above the previous candle’s close.
Sell Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes below the previous candle’s close.
✅ 30-Candle Gap Rule:
Prevents frequent entries by ensuring at least 30 candles pass before the next trade.
Improves signal quality and prevents excessive trading.
🎯 Target & Stop-Loss Calculation
✅ Buy Position:
Target: 2X the difference between the last candle’s close and the lowest low of the last 2 candles.
Stop Loss: The lowest low of the last 2 candles.
✅ Sell Position:
Target: 2X the difference between the last candle’s close and the highest high of the last 2 candles.
Stop Loss: The highest high of the last 2 candles.
📊 Visual Features
✅ Buy & Sell Signals:
Green Upward Arrow → Buy Signal
Red Downward Arrow → Sell Signal
✅ Target Levels:
Green Dotted Line: Buy Target
Red Dotted Line: Sell Target
✅ Stop Loss Levels:
Dark Red Solid Line: Stop Loss for Buy/Sell
💡 How to Use
🔹 Ideal for trend-following traders using EMAs.
🔹 Works best in volatile & trending markets (avoid sideways ranges).
🔹 Can be combined with RSI, MACD, or price action levels for added confluence.
🔹 Recommended timeframes: 1M, 5M, 15m, 1H, 4H, Daily (for best results).
🚀 Try this strategy and enhance your trading decisions with structured risk management!
Adaptive Trend FinderAdaptive Trend Finder - The Ultimate Trend Detection Tool
Introducing Adaptive Trend Finder, the next evolution of trend analysis on TradingView. This powerful indicator is an enhanced and refined version of Adaptive Trend Finder (Log), designed to offer even greater flexibility, accuracy, and ease of use.
What’s New?
Unlike the previous version, Adaptive Trend Finder allows users to fully configure and adjust settings directly within the indicator menu, eliminating the need to modify chart settings manually. A major improvement is that users no longer need to adjust the chart's logarithmic scale manually in the chart settings; this can now be done directly within the indicator options, ensuring a smoother and more efficient experience. This makes it easier to switch between linear and logarithmic scaling without disrupting the analysis. This provides a seamless user experience where traders can instantly adapt the indicator to their needs without extra steps.
One of the most significant improvements is the complete code overhaul, which now enables simultaneous visualization of both long-term and short-term trend channels without needing to add the indicator twice. This not only improves workflow efficiency but also enhances chart readability by allowing traders to monitor multiple trend perspectives at once.
The interface has been entirely redesigned for a more intuitive user experience. Menus are now clearer, better structured, and offer more customization options, making it easier than ever to fine-tune the indicator to fit any trading strategy.
Key Features & Benefits
Automatic Trend Period Selection: The indicator dynamically identifies and applies the strongest trend period, ensuring optimal trend detection with no manual adjustments required. By analyzing historical price correlations, it selects the most statistically relevant trend duration automatically.
Dual Channel Display: Traders can view both long-term and short-term trend channels simultaneously, offering a broader perspective of market movements. This feature eliminates the need to apply the indicator twice, reducing screen clutter and improving efficiency.
Fully Adjustable Settings: Users can customize trend detection parameters directly within the indicator settings. No more switching chart settings – everything is accessible in one place.
Trend Strength & Confidence Metrics: The indicator calculates and displays a confidence score for each detected trend using Pearson correlation values. This helps traders gauge the reliability of a given trend before making decisions.
Midline & Channel Transparency Options: Users can fine-tune the visibility of trend channels, adjusting transparency levels to fit their personal charting style without overwhelming the price chart.
Annualized Return Calculation: For daily and weekly timeframes, the indicator provides an estimate of the trend’s performance over a year, helping traders evaluate potential long-term profitability.
Logarithmic Adjustment Support: Adaptive Trend Finder is compatible with both logarithmic and linear charts. Traders who analyze assets like cryptocurrencies, where log scaling is common, can enable this feature to refine trend calculations.
Intuitive & User-Friendly Interface: The updated menu structure is designed for ease of use, allowing quick and efficient modifications to settings, reducing the learning curve for new users.
Why is this the Best Trend Indicator?
Adaptive Trend Finder stands out as one of the most advanced trend analysis tools available on TradingView. Unlike conventional trend indicators, which rely on fixed parameters or lagging signals, Adaptive Trend Finder dynamically adjusts its settings based on real-time market conditions. By combining automatic trend detection, dual-channel visualization, real-time performance metrics, and an intuitive user interface, this indicator offers an unparalleled edge in trend identification and trading decision-making.
Traders no longer have to rely on guesswork or manually tweak settings to identify trends. Adaptive Trend Finder does the heavy lifting, ensuring that users are always working with the strongest and most reliable trends. The ability to simultaneously display both short-term and long-term trends allows for a more comprehensive market overview, making it ideal for scalpers, swing traders, and long-term investors alike.
With its state-of-the-art algorithms, fully customizable interface, and professional-grade accuracy, Adaptive Trend Finder is undoubtedly one of the most powerful trend indicators available.
Try it today and experience the future of trend analysis.
This indicator is a technical analysis tool designed to assist traders in identifying trends. It does not guarantee future performance or profitability. Users should conduct their own research and apply proper risk management before making trading decisions.
// Created by Julien Eche - @Julien_Eche
Cole's Market Structure BreakersCredit to LuxAlgo for the market structure breaker code which I've altered to add extendable boxes when a market structure break is detected. You can alter the amount of Market Structures you want to be visible in the settings as well.
There are added arrows for engulfing patterns on MSS's and arrows for resistance patterns on MSB's. These arrows have a built in alert as well.
There is also 5 ema's plotted for a nice visual of how the trend is going. You can toggle these to display on/off in settings depending on preference.
I've added a trend table in right hand corner for a cleaner chart visualization. It pulls the trend from the 5 ema's. The logic is made so if all 5 ema's are apart from each other it will show either Green(uptrend), Grey(neutral) or Red(Downtrend).
I've found this to be an amazing tool for scalping XAUUSD on the 1mins time frame. Hope this is useful for many traders!
Supply & Demand Zones (by Wali Afridi)Description:
🚀 This indicator accurately detects Supply & Demand Zones by identifying swing highs and lows. It plots a single clean line for each zone and labels them as "SZ" (Supply Zone) and "DZ" (Demand Zone), ensuring a clear and minimalistic chart.
🔹 Features:
✅ Auto-detects recent Supply & Demand Zones
✅ Plots clean horizontal lines for the latest zones
✅ Displays "SZ" above the supply line & "DZ" below the demand line
✅ No duplicate labels—only one label per zone
✅ Minimal & clutter-free visualization
How to Use:
1️⃣ Add the indicator to your chart
2️⃣ Watch for Supply Zones (SZ) appearing above red lines – These indicate potential resistance areas where price may reverse or consolidate.
3️⃣ Watch for Demand Zones (DZ) appearing below green lines – These indicate strong support areas where price may bounce.
4️⃣ Use with other confirmations (Price Action, SMC, Volume) for better accuracy.
⚠️ Disclaimer:
This script is for educational purposes only and should not be considered financial advice. Always backtest and use risk management before applying it to live trading.
Diamond PatternDiamond Pattern Indicator
This indicator is designed to detect the Diamond Pattern, a technical formation that often signals potential trend reversals. The diamond pattern can lead to strong price movements, making it a valuable tool for traders.
Features:
✅ Automatic Detection – Identifies diamond patterns on the chart.
✅ Trend Reversal Signals – Highlights potential price direction changes.
✅ Multi-Timeframe Compatibility – Works across all timeframes.
✅ User-Friendly – Simple to use with no complex settings required.
How to Use:
1. Add the indicator to your chart.
2. Monitor for the formation of a Diamond Pattern.
3. Use the breakout direction to guide your trading decisions.
PVSRA v5Overview of the PVSRA Strategy
This strategy is designed to detect and capitalize on volume-driven threshold breaches in price candles. It operates on the premise that when a high-volume candle breaks a critical price threshold, not all orders are filled within that candle’s range. This creates an imbalance—similar to a physical system being perturbed—causing the price to revert toward the level where the breach occurred to “absorb” the residual orders.
Key Features and Their Theoretical Underpinnings
Dynamic Volume Analysis and Threshold Detection
Volume Surges as Market Perturbations:
The script computes a moving average of volume over a short window and flags moments when the current volume significantly exceeds this average. These surges act as a perturbation—injecting “energy” into the market.
Adaptive Abnormal Volume Threshold:
By calculating a dynamic abnormal threshold using a daily volume average (via an 89-period VWMA) and standard deviation, the strategy identifies when the current volume is abnormally high. This mechanism mirrors the idea that when a system is disturbed (here, by a volume surge), it naturally seeks to return to equilibrium.
Candle Coloring and Visual Signal Identification
Differentiation of Candle Types:
The script distinguishes between bullish (green) and bearish (red) candles. It applies different colors based on the strength of the volume signal, providing a clear, visual representation of whether a candle is likely to trigger a price reversion.
Implication of Unfilled Orders:
A red (bearish) candle with high volume implies that sell pressure has pushed the price past a critical threshold—yet not all buy orders have been fulfilled. Conversely, a green (bullish) candle indicates that aggressive buying has left pending sell orders. In both cases, the market is expected to reverse toward the breach point to restore balance.
Trade Execution Logic: Normal and Reversal Trades
Normal Trades:
When a high-volume candle breaches a threshold and meets the directional conditions (e.g., a red candle paired with price above a daily upper band), the strategy enters a trade anticipating a reversion. The underlying idea is that the market will move back to the level where the threshold was crossed—clearing the residual orders in a manner analogous to a system following the path of least resistance.
Reversal Trades:
The strategy also monitors for clusters of consecutive signals within a short lookback period. When multiple signals accumulate, it interprets this as the market having overextended and, in a corrective move, reverses the typical trade direction. This inversion captures the market’s natural tendency to “correct” itself by moving in discrete, quantized steps—each step representing the absorption of a minimum quantum of order imbalance.
Risk and Trade Management
Stop Loss and Take Profit Buffers:
Both normal and reversal trades include predetermined buffers for stop loss and take profit levels. This systematic risk management approach is designed to capture the anticipated reversion while minimizing potential losses, aligning with the idea that market corrections follow the most energy-efficient path back to equilibrium.
Symbol Flexibility:
An option to override the chart’s symbol allows the strategy to be applied consistently across different markets, ensuring that the volume and price dynamics are analyzed uniformly.
Conceptual Bridge: From Market Dynamics to Trade Execution
At its core, the strategy treats market price movements much like a physical system that seeks to minimize “transactional energy” or inefficiency. When a price candle breaches a key threshold on high volume, it mimics an injection of energy into the system. The subsequent price reversion is the market’s natural response—moving in the most efficient path back to balance. This perspective is akin to the principle of least action, where the system evolves along the trajectory that minimizes cumulative imbalance, and it acknowledges that these corrections occur in discrete steps reflective of quantized order execution.
This unified framework allows the PVSRA strategy to not only identify when significant volume-based threshold breaches occur but also to systematically execute trades that benefit from the expected corrective moves.
UT Bot with LinReg CandlesDescription of the UT Bot with LinReg Candles Script
This Pine Script is an advanced indicator that combines UT Bot signals, ATR-based trailing stop, and linear regression candles for better trend identification and trading signals. Below is a breakdown of its functionality:
1. Input Settings
a: Sensitivity of the UT Bot (higher value = fewer signals).
c: ATR period for calculating the trailing stop.
h: If enabled, signals are based on Heikin Ashi candles instead of regular ones.
signal_length: Defines the smoothing period for the signal line.
sma_signal: Chooses between SMA or EMA for the signal line.
linreg_length: Period for Linear Regression applied to candles.
2. ATR-Based UT Bot Calculation
ATR (Average True Range) is used to calculate nLoss, which defines the stop loss level based on price volatility.
LinReg Candles: Instead of using raw candle prices, this script applies a Linear Regression filter to open, high, low, and close prices to smoothen the price movements.
3. ATR Trailing Stop Calculation
xATRTrailingStop: A dynamic stop loss that follows price movements based on ATR.
It adjusts dynamically:
If price is rising, it uses max(previous stop, current price - ATR-based stop).
If price is falling, it uses min(previous stop, current price + ATR-based stop).
4. Position Logic
Buy Condition: When price crosses above the ATR-based trailing stop.
Sell Condition: When price crosses below the ATR-based trailing stop.
pos: Tracks the position state (1 = long, -1 = short).
5. Buy/Sell Signal Plotting
Buy Signal:
When price is above the ATR trailing stop.
Confirmation with EMA crossover.
Sell Signal:
When price is below the ATR trailing stop.
Confirmation with EMA crossover.
plotshape is used to display Buy (green up arrow) and Sell (red down arrow) signals.
barcolor changes the candle color to green for bullish and red for bearish conditions.
6. Alerts for Buy/Sell
alertcondition is set up for automated notifications:
"UT Long" = Buy signal.
"UT Short" = Sell signal.
7. Linear Regression Candles
Uses Linear Regression to create "smoother" candle data.
Plots:
Bullish candles (green) when the regression close price is higher than the open.
Bearish candles (red) when the regression close price is lower than the open.
Plots a signal line (SMA or EMA) for additional confirmation.
Summary
✅ Uses ATR-based trailing stop to determine buy/sell signals.
✅ Heikin Ashi (optional) to smooth signals.
✅ Linear Regression Candles for a noise-free price trend.
✅ EMA crossover filter for confirmation.
✅ Alerts & visual signals for trade execution.
Adaptive Fibonacci Volatility Bands (AFVB)
**Adaptive Fibonacci Volatility Bands (AFVB)**
### **Overview**
The **Adaptive Fibonacci Volatility Bands (AFVB)** indicator enhances standard **Fibonacci retracement levels** by dynamically adjusting them based on market **volatility**. By incorporating **ATR (Average True Range) adjustments**, this indicator refines key **support and resistance zones**, helping traders identify **more reliable entry and exit points**.
**Key Features:**
- **ATR-based adaptive Fibonacci levels** that adjust to changing market volatility.
- **Buy and Sell signals** based on price interactions with dynamic support/resistance.
- **Toggleable confirmation filter** for refining trade signals.
- **Customizable color schemes** and alerts.
---
## **How This Indicator Works**
The **AFVB** operates in three main steps:
### **1️⃣ Detecting Key Fibonacci Levels**
The script calculates **swing highs and swing lows** using a user-defined lookback period. From this, it derives **Fibonacci retracement levels**:
- **0% (High)**
- **23.6%**
- **38.2%**
- **50% (Mid-Level)**
- **61.8%**
- **78.6%**
- **100% (Low)**
### **2️⃣ Adjusting for Market Volatility**
Instead of using **fixed retracement levels**, this indicator incorporates an **ATR-based adjustment**:
- **Resistance levels** shift **upward** based on ATR.
- **Support levels** shift **downward** based on ATR.
- This makes levels more **responsive** to price action.
### **3️⃣ Generating Buy & Sell Signals**
AFVB provides **two types of signals** based on price interactions with key levels:
✔ **Buy Signal**:
Occurs when price **dips below** a support level (78.6% or 100%) and **then closes back above it**.
- **Optionally**, a confirmation buffer can be enabled to require price to close **above an additional threshold** (based on ATR).
✔ **Sell Signal**:
Triggered when price **breaks above a resistance level** (0% or 23.6%) and **then closes below it**.
📌 **Important:**
- The **buy threshold setting** allows traders to **fine-tune** entry conditions.
- Turning this setting **off** generates **more frequent** buy signals.
- Keeping it **on** reduces false signals but may result in **fewer trade opportunities**.
---
## **How to Use This Indicator in Trading**
### 🔹 **Entry Strategy (Buying)**
1️⃣ Look for **buy signals** at the **78.6% or 100% Fibonacci levels**.
2️⃣ Ensure price **closes above** the support level before entering a long trade.
3️⃣ **Enable or disable** the buy threshold filter depending on desired trade strictness.
### 🔹 **Exit Strategy (Selling)**
1️⃣ Watch for **sell signals** at the **0% or 23.6% Fibonacci levels**.
2️⃣ If price **breaks above resistance and then closes below**, consider exiting long positions.
3️⃣ Can be used **alone** or **combined with trend confirmation tools** (e.g., moving averages, RSI).
### 🔹 **Using the Toggleable Buy Threshold**
- **ON**: Buy signal requires **extra confirmation** (reduces false signals but fewer trades).
- **OFF**: Buy triggers as soon as price **closes back above support** (more signals, but may include weaker setups).
---
## **User Inputs**
### **🔧 Customization Options**
- **ATR Length**: Defines the period for **ATR calculation**.
- **Swing Lookback**: Determines how far back to find **swing highs and lows**.
- **ATR Multiplier**: Adjusts the size of **volatility-based modifications**.
- **Buy/Sell Threshold Factor**: Fine-tunes the **entry signal strictness**.
- **Show Level Labels**: Enables/disables **Fibonacci level annotations**.
- **Color Settings**: Customize **support/resistance colors**.
### **📢 Alerts**
AFVB includes built-in **alert conditions** for:
- **Buy Signals** ("AFVB BUY SIGNAL - Possible reversal at support")
- **Sell Signals** ("AFVB SELL SIGNAL - Possible reversal at resistance")
- **Any Signal Triggered** (Useful for automated alerts)
---
## **Who Is This Indicator For?**
✅ **Scalpers & Day Traders** – Helps identify **short-term reversals**.
✅ **Swing Traders** – Useful for **buying dips** and **selling rallies**.
✅ **Trend Traders** – Can be combined with **momentum indicators** for confirmation.
**Best Timeframes:**
⏳ **15-minute, 1-hour, 4-hour, Daily charts** (works across multiple assets).
---
## **Limitations & Considerations**
🚨 **Important Notes**:
- **No indicator guarantees profits**. Always **combine** it with **risk management strategies**.
- Works best **in trending & mean-reverting markets**—may generate false signals in **choppy conditions**.
- Performance may vary across **different assets & timeframes**.
📢 **Backtesting is recommended** before using it for live trading.
Koncorde [Dylan Argot]Koncorde
Este indicador multifacético integra varios elementos técnicos para ofrecer una visión completa de la dinámica del mercado, combinando análisis de precio, volumen y volatilidad. Entre sus componentes destacan:
Manos chicas, Montaña y Manos grandes:
Se derivan de una mezcla de indicadores como el RSI, un cálculo similar al MFI, bandas de Bollinger y un oscilador estocástico.
Manos chicas (verdes) capturan movimientos ajustados basados en volumen.
Montaña (marrón) es el componente central que refleja el momentum del mercado.
Manos grandes (azules) aportan una perspectiva complementaria a partir del análisis de la variación del volumen negativo.
Media móvil de la Montaña:
Suaviza la “Montaña” para facilitar la detección de tendencias y cambios de dirección.
Niveles históricos (ATH y ATL):
El indicador traza automáticamente líneas horizontales que marcan el máximo (ATH) y el mínimo (ATL) histórico alcanzados por la “Montaña”, ayudando a identificar zonas críticas de soporte y resistencia.
Señales de trading:
Genera alertas visuales de compra y venta basadas en los cruces entre la “Montaña” y su media móvil:
Compra: Cuando la “Montaña” cruza al alza la media móvil.
Venta: Cuando la media móvil cruza al alza la “Montaña”.
Personalización:
Permite ajustar parámetros clave (periodos, multiplicadores, estilos y colores de líneas) para adaptar el indicador a distintos marcos temporales y preferencias operativas.
En resumen, Koncorde combina análisis de volumen, momentum y volatilidad para ayudar a identificar oportunidades de trading y niveles críticos, proporcionando a los operadores una herramienta robusta para tomar decisiones más informadas.
Premarket Gap MomoTrader(SC)🚀 Pre-Market Momentum Trader | Dynamic Position Sizing 🔥
📈 Trade explosive pre-market breakouts with confidence! This algorithmic strategy automatically detects high-momentum setups, dynamically adjusts position size, and ensures risk control with a one-trade-per-day rule.
⸻
🎯 Key Features
✅ Pre-Market Trading (4:00 - 9:30 AM EST) – Only trades during the most volatile session for early breakouts.
✅ Dynamic Position Sizing – Adapts trade size based on candle strength:
• ≥90% body → 100% position
• ≥85% body → 50% position
• ≥75% body → 25% position
✅ 1 Trade Per Day – Avoids overtrading by allowing only one high-quality trade daily.
✅ Momentum Protection – Stays in the trade as long as:
• Every candle remains green (no red candles).
• Each new candle has increasing volume (confirming strong buying).
✅ Automated Exit – Closes position if:
• A red candle appears.
• Volume fails to increase on a green candle.
⸻
🔍 How It Works
📌 Entry Conditions:
✔️ Candle gains ≥5% from previous close.
✔️ Candle is green & body size ≥75% of total range.
✔️ Volume >15K (confirming liquidity).
✔️ Occurs within pre-market session (4:00 - 9:30 AM EST).
✔️ Only the first valid trade of the day is taken.
📌 Exit Conditions:
❌ First red candle after entry → Exit trade.
❌ First green candle with lower volume → Exit trade.
⸻
🏆 Why Use This?
🔹 Eliminates Fake Breakouts – No trade unless volume & momentum confirm.
🔹 Prevents Overtrading – Restricts to one quality trade per day.
🔹 Adaptable to Any Market – Works on stocks, crypto, or forex.
🔹 Hands-Free Execution – No manual chart watching required!
⸻
🚨 Important Notes
📢 Not financial advice. Trading involves risk—always backtest & practice on paper trading before using real money.
📢 Enable pre-market data in your TradingView settings for accurate results.
📢 Optimized for 1-minute & 5-minute timeframes.
🔔 Like this strategy? Leave a comment, share your results, and don’t forget to hit Follow for more strategies! 🚀🔥
secret candle by anouar annabiArrow Indicator for Powerful Candle
📌 Created by: Anouar Annabi
📬 Telegram: @anouarannabi
Description:
This TradingView indicator is designed to identify and highlight a Powerful Candle by plotting arrows at its high and low.
🔻 Red Down Arrow → Appears above the high of the Powerful Candle.
🔺 Green Up Arrow → Appears below the low of the Powerful Candle.
How It Works:
✅ Detects the Powerful Candle at a specific time.
✅ Stores the high and low of that candle.
✅ Plots arrows to help traders visually identify key levels.
This tool is perfect for traders who want to track and react to the Powerful Candle’s price movement effectively! 🚀
Advanced Price Direction Predictor# Advanced Price Direction Predictor: Visual Components & Dashboard Guide
## Dashboard Overview
The Advanced Price Direction Predictor features a comprehensive visual dashboard that provides traders with real-time market analysis and signal information in a highly organized format. The dashboard is positioned according to user preference (top-right, top-left, bottom-right, or bottom-left) and displays critical information through a structured table format.
### Dashboard Components
1. **PREDICTION Section**
- **Bullish Score**: Displays the percentage strength of bullish signals (0-100%)
- **Bearish Score**: Displays the percentage strength of bearish signals (0-100%)
- **Color-Coding**: Scores are highlighted with intensity-based colors (deep green for strong bullish, deep red for strong bearish)
2. **ENSEMBLE Metrics**
- **Bullish Ensemble**: Numerical value (0-1) showing the combined agreement of bullish indicators
- **Bearish Ensemble**: Numerical value (0-1) showing the combined agreement of bearish indicators
- **Color-Coded**: Values highlighted based on strength (green/red intensity scaling)
3. **MARKET Analysis**
- **Trend Classification**: Identifies current market as "Strong Uptrend," "Uptrend," "Strong Downtrend," "Downtrend," "Ranging Market," or "Mixed"
- **Volatility Status**: Shows "High Volatility," "Low Volatility," or "Normal Volatility" with appropriate color-coding
- **Background Highlighting**: Uses color backgrounds to emphasize strong conditions
4. **Higher Timeframe (HTF) Status**
- **HTF Direction**: Shows "HTF: Bullish," "HTF: Bearish," or "HTF: Neutral" based on higher timeframe analysis
- **Confirmation Count**: Displays the number of consecutive bars confirming the current signal
5. **Confidence Metrics**
- **Confidence Percentage**: Shows probability estimate for current signal (0-100%)
- **Expected Value**: Displays statistical risk/reward metric for active signals
- **Color-Graded Display**: Uses intensity scaling to highlight strong confidence levels
6. **Pattern Recognition Status**
- **Pattern Strength**: Numerical value showing strength of detected patterns
- **Trend Strength**: Shows magnitude of the current trend with directional indicator
7. **Performance Analytics**
- **Historical Accuracy**: Percentage of correct signals from historical tracking
- **Signal Count**: Total number of signals analyzed for performance metrics
- **Color-Coded Accuracy**: Uses green/yellow/red scale to highlight performance quality
8. **Feature Status**
- **ML Features**: Displays "Neural+," "Active," or "Disabled" based on feature configuration
- **Threshold Type**: Shows "Adaptive" or "Fixed" based on current settings
9. **Signal Summary**
- **Current Signal**: Displays "BUY," "SELL," or "HOLD" with appropriate background highlighting
- **Version Information**: Shows indicator version number
## On-Chart Indicator Visualization
### Signal Markers
1. **Strong Buy Signal**: Upward-pointing triangles below price bars
- Size varies based on user settings (tiny, small, normal, large, huge)
- Deep green coloring for high visibility
2. **Strong Sell Signal**: Downward-pointing triangles above price bars
- Size varies based on user settings (tiny, small, normal, large, huge)
- Deep red coloring for high visibility
3. **Weak Buy Signal**: Smaller upward-pointing triangles below price bars
- Fixed smaller size for differentiation
- Light green coloring
4. **Weak Sell Signal**: Smaller downward-pointing triangles above price bars
- Fixed smaller size for differentiation
- Light orange/salmon coloring
### Trend Lines
1. **Trend Line 1**: Blue line showing the first trend component
- Opacity adjustable via settings
- Can be toggled on/off via settings
2. **Trend Line 2**: Red line showing the second trend component
- Opacity adjustable via settings
- Can be toggled on/off via settings
### Signal Labels
1. **Strong Buy Labels**: "STRONG BUY" text with percentage confidence
- Located below price bars
- Deep green background with white text
2. **Strong Sell Labels**: "STRONG SELL" text with percentage confidence
- Located above price bars
- Deep red background with white text
3. **On-Chart Legend**: Optional floating display showing current values:
- RSI value
- MACD value
- Bull percentage
- Bear percentage
## Core Indicators & Technical Components
### Trend Indicators
1. **Triple Exponential Moving Average (Triple EMA)**: Advanced implementation with multiple sequences
2. **Moving Average Crosses**: Fast/medium/slow MA crosses (9/21/50 periods by default)
3. **Ichimoku Cloud Components**: Tenkan, Kijun, Senkou Span A/B calculated with customizable parameters
### Oscillators
1. **Relative Strength Index (RSI)**: With adaptive overbought/oversold levels
2. **Stochastic**: With adjustable %K and %D settings
3. **Money Flow Index (MFI)**: Volume-weighted RSI
4. **MACD**: Moving Average Convergence Divergence with signal line and histogram
### Volume Analysis
1. **On-Balance Volume (OBV)**: With moving average comparison
2. **Volume Ratio**: Current volume vs. average volume
3. **Chaikin Money Flow (CMF)**: Modified implementation centered at zero
4. **Higher Timeframe Volume Profile**: Analyzes volume patterns on larger timeframes
### Price Action Indicators
1. **Modified Heikin-Ashi**: For smoother trend visualization
2. **Bollinger Bands**: With width analysis and percent B calculation
3. **Williams %R**: With adaptive thresholds
4. **ADX/DI+/DI-**: For trend strength measurement
### Pattern Recognition
1. **Candlestick Patterns**: Detects engulfing patterns, hammers, doji, morning/evening stars, three white soldiers/black crows
2. **Harmonic Patterns**: Simplified Fibonacci-based pattern detection
3. **Support/Resistance Zones**: Identifies and counts touches of significant levels
4. **Divergence Detection**: For RSI, MACD, Stochastic, and MFI
### Market Structure Analysis
1. **Pivot Points**: High/low detection with lookback periods
2. **Fractal Analysis**: Market structure breaks detection
3. **Price Volatility Measurement**: Standardized deviation of returns
4. **Momentum Quality Assessment**: Directional movement quality metrics
This comprehensive visual system provides traders with multi-layered analysis, offering both quick-glance signal identification and detailed metric assessment for informed decision-making across various market conditions and timeframes.
Volume Block Order AnalyzerCore Concept
The Volume Block Order Analyzer is a sophisticated Pine Script strategy designed to detect and analyze institutional money flow through large block trades. It identifies unusually high volume candles and evaluates their directional bias to provide clear visual signals of potential market movements.
How It Works: The Mathematical Model
1. Volume Anomaly Detection
The strategy first identifies "block trades" using a statistical approach:
```
avgVolume = ta.sma(volume, lookbackPeriod)
isHighVolume = volume > avgVolume * volumeThreshold
```
This means a candle must have volume exceeding the recent average by a user-defined multiplier (default 2.0x) to be considered a significant block trade.
2. Directional Impact Calculation
For each block trade identified, its price action determines direction:
- Bullish candle (close > open): Positive impact
- Bearish candle (close < open): Negative impact
The magnitude of impact is proportional to the volume size:
```
volumeWeight = volume / avgVolume // How many times larger than average
blockImpact = (isBullish ? 1.0 : -1.0) * (volumeWeight / 10)
```
This creates a normalized impact score typically ranging from -1.0 to 1.0, scaled by dividing by 10 to prevent excessive values.
3. Cumulative Impact with Time Decay
The key innovation is the cumulative impact calculation with decay:
```
cumulativeImpact := cumulativeImpact * impactDecay + blockImpact
```
This mathematical model has important properties:
- Recent block trades have stronger influence than older ones
- Impact gradually "fades" at rate determined by decay factor (default 0.95)
- Sustained directional pressure accumulates over time
- Opposing pressure gradually counteracts previous momentum
Trading Logic
Signal Generation
The strategy generates trading signals based on momentum shifts in institutional order flow:
1. Long Entry Signal: When cumulative impact crosses from negative to positive
```
if ta.crossover(cumulativeImpact, 0)
strategy.entry("Long", strategy.long)
```
*Logic: Institutional buying pressure has overcome selling pressure, indicating potential upward movement*
2. Short Entry Signal: When cumulative impact crosses from positive to negative
```
if ta.crossunder(cumulativeImpact, 0)
strategy.entry("Short", strategy.short)
```
*Logic: Institutional selling pressure has overcome buying pressure, indicating potential downward movement*
3. Exit Logic: Positions are closed when the cumulative impact moves against the position
```
if cumulativeImpact < 0
strategy.close("Long")
```
*Logic: The original signal is no longer valid as institutional flow has reversed*
Visual Interpretation System
The strategy employs multiple visualization techniques:
1. Color Gradient Bar System:
- Deep green: Strong buying pressure (impact > 0.5)
- Light green: Moderate buying pressure (0.1 < impact ≤ 0.5)
- Yellow-green: Mild buying pressure (0 < impact ≤ 0.1)
- Yellow: Neutral (impact = 0)
- Yellow-orange: Mild selling pressure (-0.1 < impact ≤ 0)
- Orange: Moderate selling pressure (-0.5 < impact ≤ -0.1)
- Red: Strong selling pressure (impact ≤ -0.5)
2. Dynamic Impact Line:
- Plots the cumulative impact as a line
- Line color shifts with impact value
- Line movement shows momentum and trend strength
3. Block Trade Labels:
- Marks significant block trades directly on the chart
- Shows direction and volume amount
- Helps identify key moments of institutional activity
4. Information Dashboard:
- Current impact value and signal direction
- Average volume benchmark
- Count of significant block trades
- Min/Max impact range
Benefits and Use Cases
This strategy provides several advantages:
1. Institutional Flow Detection: Identifies where large players are positioning themselves
2. Early Trend Identification: Often detects institutional accumulation/distribution before major price movements
3. Market Context Enhancement: Provides deeper insight than simple price action alone
4. Objective Decision Framework: Quantifies what might otherwise be subjective observations
5. Adaptive to Market Conditions: Works across different timeframes and instruments by using relative volume rather than absolute thresholds
Customization Options
The strategy allows users to fine-tune its behavior:
- Volume Threshold: How unusual a volume spike must be to qualify
- Lookback Period: How far back to measure average volume
- Impact Decay Factor: How quickly older trades lose influence
- Visual Settings: Labels and line width customization
This sophisticated yet intuitive strategy provides traders with a window into institutional activity, helping identify potential trend changes before they become obvious in price action alone.
Strong Signals with ConfirmationThe Strong Signals with Confirmation indicator is designed to help traders identify high-probability trade opportunities using trendline breakouts and Commodity Channel Index (CCI) confirmation. It ensures a next-candle confirmation to filter out false signals, enhancing accuracy.
Key Features:
✅ Trendline Breakout Confirmation – Detects when price crosses above or below a 14-period SMA.
✅ CCI-Based Entry Validation – Ensures price is in oversold or overbought conditions for strong signals.
✅ Next Candle Confirmation – Trades are only triggered if the next candle supports the direction of the signal.
✅ Risk & Reward Zones – Automatically calculates and plots Stop Loss (SL) and Take Profit (TP) levels based on user-defined risk and reward percentages.
✅ Visual Signal Markers – Highlights confirmed buy (triangle up) and confirmed sell (triangle down) signals.
✅ Dynamic Background Coloring – Green for confirmed buy signals, red for confirmed sell signals.
How It Works:
Buy Signal:
The price crosses above the trendline.
CCI is below 20 (oversold zone).
The next candle closes higher than it opened.
The previous candle must also have closed higher than it opened.
✅ Entry placed with SL & TP levels.
Sell Signal:
The price crosses below the trendline.
CCI is above 80 (overbought zone).
The next candle closes lower than it opened.
The previous candle must also have closed lower than it opened.
✅ Entry placed with SL & TP levels.
Elliptic Curve SAROverview
The Elliptic Curve SAR indicator is an innovative twist on the traditional Parabolic SAR. Instead of relying solely on a fixed parabolic acceleration, this indicator incorporates elements from elliptic curve mathematics. It uses an elliptic curve defined by the equation y² = x³ + ax + b* along with a configurable base point, dynamically adjusting its acceleration factor to potentially offer different smoothing and timing in trend detection.
How It Works
Elliptic Curve Parameters:
The indicator accepts curve parameters a and b that define the elliptic curve.
A base point (x_p, y_p) on the curve is used as a starting condition.
Dynamic Acceleration:
Instead of a fixed acceleration step, the script computes a dynamic acceleration based on the current value of an intermediate variable (derived via the elliptic curve's properties).
An arctan function is used to non-linearly adjust the acceleration between a defined initial and maximum bound.
Trend & Reversal Detection:
The indicator tracks the current trend (up or down) using the computed SAR value.
It identifies trend reversals by comparing the current price with the SAR, and when a reversal is detected, it resets key parameters such as the Extreme Point (EP).
Visual Enhancements:
SAR Plot: Plotted as circles that change color based on trend direction (blue for uptrends, red for downtrends).
Extreme Point (EP): An orange line is drawn to show the highest high in an uptrend or the lowest low in a downtrend.
Reversal Markers: Green triangles for upward reversals and red triangles for downward reversals are displayed.
Background Color: A subtle background tint (light green or light red) reflects the prevailing trend.
How to Use the Indicator
Input Configuration:
Curve Parameters:
Adjust a and b to define the specific elliptic curve you wish to apply.
Base Point Settings:
Configure the base point (x_p, y_p) to set the starting conditions for the elliptic curve calculations.
Acceleration Settings:
Set the Initial Acceleration and Max Acceleration to tune the sensitivity of the indicator.
Chart Application:
Overlay the indicator on your price chart. The SAR values, Extreme Points, and reversal markers will be plotted directly on the price data.
Use the dynamic background color to quickly assess the current trend.
Customization:
You can further adjust colors, line widths, and shape sizes in the code to better suit your visual preferences.
Differences from the Traditional SAR
Calculation Methodology:
Traditional SAR relies on a parabolic curve with a fixed acceleration factor, which increases linearly as the trend continues.
Elliptic Curve SAR uses a mathematically-derived approach from elliptic curve theory, which dynamically adjusts the acceleration factor based on the curve’s properties.
Sensitivity and Signal Timing:
The use of the arctan function and elliptic curve addition provides a non-linear response to price movements. This may result in a different sensitivity to market conditions and potentially smoother or more adaptive signal generation.
Visual Enhancements:
The enhanced version includes trend-dependent colors, explicit reversal markers, and an Extreme Point plot that are not present in the traditional version.
The background color change further aids in visual trend recognition.
Conclusion
The Elliptic Curve SAR indicator offers an alternative approach to trend detection by integrating elliptic curve mathematics into its calculation. This results in a dynamic acceleration factor and enriched visual cues, providing traders with an innovative tool for market analysis. By fine-tuning the input parameters, users can adapt the indicator to better fit their specific trading style and market conditions.
FVG+BB+OpHola
Este indicador es la suma de 3 indicadores que yo uso mucho
1. es el fvg o gap que muestra automaticamente
2. es la vela diaria dibujada de fondo y
3. es las banda de Bollinger con su respectivo filtro en compra o venta
Breakout Detector [Masao]A Breakout Detector indicator, filtering position with Heiken ashi candles smoothed with ema10 for reducing risk.
Bitcoin Polynomial Regression Model💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here .
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Enhanced First High Break Strategy v3🚀 Enhanced First High Break Strategy v3
🔹 Overview:
The Enhanced First High Break Strategy v3 is a trend-following breakout strategy designed for high-momentum stocks like TSLA. This strategy combines moving averages, RSI filtering, volume confirmation, and ATR-based trailing exits to capture strong breakouts while avoiding false signals.
🔹 How It Works:
✔ EMA Confirmation → Ensures price is in a strong bullish trend.
✔ Breakout Condition → Price must break above previous highs.
✔ Volume Confirmation → Only enters high-volume breakouts.
✔ Divergence Avoidance → Prevents entries if bearish RSI divergence is detected.
✔ ATR-Based Stop & Trailing Exit → Uses dynamic stop-loss & trailing logic to lock in gains.
🔹 Why This Works for TSLA & Momentum Stocks:
✅ Targets Explosive Moves → Ensures strong volume + price confirmation.
✅ Avoids Weak Trends → EMA trend filtering prevents sideways entries.
✅ Minimizes Risk → Uses ATR-based stop-loss & trailing to secure profits.
✅ Avoids Fakeouts → Checks for bearish divergences before entering.
🔹 Strategy Logic:
📌 Indicators Used:
• EMA(9,20): Trend confirmation
• RSI(14): Momentum filtering
• Volume SMA(20): Volume strength confirmation
• ATR(14): Dynamic stop-loss & trailing exit
📌 Entry Conditions:
• Price breaks above previous high
• Volume is 1.5x the 20-bar average
• EMA Trend is Bullish (9 > 20 EMA)
• No Bearish RSI Divergence
📌 Exit Conditions:
• ATR Stop-Loss: Protects capital
• ATR Trailing Exit: Maximizes gains
⚠ Risk Disclaimer:
This strategy is optimized for momentum stocks like TSLA but should be backtested before live trading. No strategy guarantees success—always use proper risk management.
🎯 Best Used On:
✅ Timeframe: 5m
✅ Markets: TSLA
✅ Pairs Well With: Scalping
📢 Test it & optimize settings for your market! 🚀
⸻
💡 Ideal Use Cases:
• Momentum traders looking for breakout setups in TSLA.
• Day traders seeking high probability trades with volume confirmation.
• Swing traders riding strong trends with ATR-based exits.
🔥 Trade TSLA with Confidence! 🚀📈
DTFX Algo Zones [SamuraiJack Mod]CME_MINI:NQ1!
Credits
This indicator is a modified version of an open-source tool originally developed by Lux Algo. I literally modded their indicator to create the DTFX Algo Zones version, incorporating additional features and refinements. Special thanks to Lux Algo for their original work and for providing the open-source code that made this development possible.
Introduction
DTFX Algo Zones is a technical analysis indicator designed to automatically identify key supply and demand zones on your chart using market structure and Fibonacci retracements. It helps traders spot high-probability reversal areas and important support/resistance levels at a glance. By detecting shifts in market structure (such as Break of Structure and Change of Character) and highlighting bullish or bearish zones dynamically, this tool provides an intuitive framework for planning trades. The goal is to save traders time and improve decision-making by focusing attention on the most critical price zones where market bias may confirm or reverse.
Logic & Features
• Market Structure Shift Detection (BOS & CHoCH): The indicator continuously monitors price swings and marks significant structure shifts. A Break of Structure (BOS) occurs when price breaks above a previous swing high or below a swing low, indicating a continuation of the current trend. A Change of Character (ChoCH) is detected when price breaks in the opposite direction of the prior trend, often signaling an early trend reversal. These moments are visually marked on the chart, serving as anchor points for new zones. By identifying BOS and ChoCH in real-time, the DTFX Algo Zones indicator ensures you’re aware of key trend changes as they happen.
• Auto-Drawn Fibonacci Supply/Demand Zones: Upon a valid structure shift, the indicator plots a Fibonacci-based zone between the breakout point and the preceding swing high/low (the source of the move). This creates a shaded area or band of Fibonacci retracement levels (for example 38.2%, 50%, 61.8%, etc.) representing a potential support zone in an uptrend or resistance zone in a downtrend. These supply/demand zones are derived from the natural retracement of the breakout move, highlighting where price is likely to pull back. Each zone is essentially an auto-generated Fibonacci retracement region tied to a market structure event, which traders can use to anticipate where the next pullback or bounce might occur.
• Dynamic Bullish and Bearish Zones: The DTFX Algo Zones indicator distinguishes bullish vs. bearish zones and updates them dynamically as new price action unfolds. Bullish zones (formed after bullish BOS/ChoCH) are typically highlighted in one color (e.g. green or blue) to indicate areas of demand/support where price may bounce upward. Bearish zones (formed after bearish BOS/ChoCH) are shown in another color (e.g. red/orange) to mark supply/resistance where price may stall or reverse downward. This color-coding and real-time updating allow traders to instantly recognize the market bias: for instance, a series of bullish zones implies an uptrend with multiple support levels on pullbacks, while consecutive bearish zones indicate a downtrend with resistance overhead. As old zones get invalidated or new ones appear, the chart remains current with the latest key levels, eliminating clutter from outdated levels.
• Flexible Customization: The indicator comes with several options to tailor the zones to your trading style. You can filter which zones to display – for example, show only the most recent N zones or limit to only bullish or only bearish zones – helping declutter the chart and focus on recent, relevant levels. There are settings to control zone extension (how far into the future the zones are drawn) and to automatically invalidate zones once they’re no longer relevant (for instance, if price fully breaks through a zone or a new structure shift occurs that supersedes it). Additionally, the Fibonacci retracement levels within each zone are customizable: you can choose which retracement percentages to plot, adjust their colors or line styles, and decide whether to fill the zone area for visibility. This flexibility ensures the DTFX Algo Zones can be tuned for different markets and strategies, whether you want a clean minimalist look or detailed zones with multiple internal levels.
Best Use Cases
DTFX Algo Zones is a versatile indicator that can enhance various trading strategies. Some of its best use cases include:
• Identifying High-Probability Reversal Zones: Each zone marks an area where price has a higher likelihood of stalling or reversing because it reflects a significant prior swing and Fibonacci retracement. Traders can watch these zones for entry opportunities when the market approaches them, as they often coincide with order block or strong supply/demand areas. This is especially useful for catching trend reversals or pullbacks at points where risk is lower and potential reward is higher.
• Spotting Key Support and Resistance: The automatically drawn zones act as dynamic support (below price) and resistance (above price) levels. Instead of manually drawing Fibonacci retracements or support/resistance lines, you get an instant map of the key levels derived from recent price action. This helps in quickly identifying where the next bounce (support) or rejection (resistance) might occur. Swing traders and intraday traders alike can use these zones to set alerts or anticipate reaction areas as the market moves.
• Trend-Following Entries: In a trending market, the indicator’s zones provide ideal areas to join the trend on pullbacks. For example, in an uptrend, when a new bullish zone is drawn after a BOS, it indicates a fresh demand zone – buying near the lower end of that zone on a pullback can offer a low-risk entry to ride the next leg up. Similarly, in a downtrend, selling rallies into the highlighted supply zones can position you in the direction of the prevailing trend. The zones effectively serve as a roadmap of the trend’s structure, allowing trend traders to buy dips and sell rallies with greater confidence.
• Mean-Reversion and Range Trading: Even in choppy or range-bound markets, DTFX Algo Zones can help find mean-reversion trades. If price is oscillating sideways, the zones at extremes of the range might mark where momentum is shifting (ChoCH) and price could swing back toward the mean. A trader might fade an extended move when it reaches a strong zone, anticipating a reversion. Additionally, if multiple zones cluster in an area across time (creating a zone overlap), it often signifies a particularly robust support/resistance level ideal for range trading strategies.
In all these use cases, the indicator’s ability to filter out noise and highlight structurally important levels means traders can focus on higher-probability setups and make more informed trading decisions.
Strategy – Pullback Trading with DTFX Algo Zones
One of the most effective ways to use the DTFX Algo Zones indicator is trading pullbacks in the direction of the trend. Below is a step-by-step strategy to capitalize on pullbacks using the zones, combining the indicator’s signals with sound price action analysis and risk management:
1. Identify a Market Structure Shift and Trend Bias: First, observe the chart for a recent BOS or ChoCH signal from the indicator. This will tell you the current trend bias. For instance, a bullish BOS/ChoCH means the market momentum has shifted upward (bullish bias), and a new demand zone will be drawn. A bearish structure break indicates downward momentum and creates a supply zone. Make sure the broader context supports the bias (e.g., if multiple higher timeframe zones are bullish, focus on long trades).
2. Wait for the Pullback into the Zone: Once a new zone appears, don’t chase the price immediately. Instead, wait for price to retrace back into that highlighted zone. Patience is key – let the market come to you. For a bullish setup, allow price to dip into the Fibonacci retracement zone (demand area); for a bearish setup, watch for a rally into the supply zone. Often, the middle of the zone (around the 50% retracement level) can be an optimal area where price might slow down and pivot, but it’s wise to observe price behavior across the entire zone.
3. Confirm the Entry with Price Action & Confluence: As price tests the zone, look for confirmation signals before entering the trade. This can include bullish reversal candlestick patterns (for longs) or bearish patterns (for shorts) such as engulfing candles, hammers/shooting stars, or doji indicating indecision turning to reversal. Additionally, incorporate confluence factors to strengthen the setup: for example, check if the zone overlaps with a key moving average, a round number price level, or an old support/resistance line from a higher timeframe. You might also use an oscillator (like RSI or Stochastic) to see if the pullback has reached oversold conditions in a bullish zone (or overbought in a bearish zone), suggesting a bounce is likely. The more factors aligning at the zone, the more confidence you can have in the trade. Only proceed with an entry once you see clear evidence of buyers defending a demand zone or sellers defending a supply zone.
4. Enter the Trade and Manage Risk: When you’re satisfied with the confirmation (e.g., price starts to react positively off a demand zone or shows rejection wicks in a supply zone), execute your entry in the direction of the original trend. Immediately set a stop-loss order to control risk: for a long trade, a common placement is just below the demand zone (a few ticks/pips under the swing low that formed the zone); for a short trade, place the stop just above the supply zone’s high. This way, if the zone fails and price continues beyond it, your loss is limited. Position size the trade so that this stop-loss distance corresponds to a risk you are comfortable with (for example, 1-2% of your trading capital).
5. Take Profit Strategically: Plan your take-profit targets in advance. A conservative approach is to target the origin of the move – for instance, in a long trade, you might take profit as price moves back up to the swing high (the 0% Fibonacci level of the zone) or the next significant zone or resistance level above. This often yields at least a 1:1 reward-to-risk ratio if you entered around mid-zone. More aggressive trend-following traders may leave a portion of the position running beyond the initial target, aiming for a larger move in line with the trend (for example, new higher highs in an uptrend). You can also trail your stop-loss upward behind new higher lows (for longs) or lower highs (for shorts) as the trend progresses, locking in profit while allowing for further gains.
6. Monitor Zone Invalidation: Even after entering, keep an eye on the behavior around the zone and any new zones that may form. If price fails to bounce and instead breaks decisively through the entire zone, respect that as an invalidation – the market may be signaling a deeper reversal or that the signal was false. In such a case, it’s better to exit early or stick to your stop-loss than to hold onto a losing position. The indicator will often mark or no longer highlight zones that have been invalidated by price, guiding you to shift focus to the next opportunity.
Risk Management Tips:
• Always use a stop-loss and don’t move it farther out in hope. Placing the stop just beyond the zone’s far end (the swing point) helps protect you if the pullback turns into a larger reversal.
• Aim for a favorable risk-to-reward ratio. With pullback entries near the middle or far end of a zone, you can often achieve a reward that equals or exceeds your risk. For example, risking 20 pips to make 20+ pips (1:1 or better) is a prudent starting point. Adjust targets based on market structure – if the next resistance is 50 pips away, consider that upside against your risk.
• Use confluence and context: Don’t take every zone signal in isolation. The highest probability trades come when the DTFX Algo Zone aligns with other analysis (trend direction, chart patterns, higher timeframe support/resistance, etc.). This filtered approach will reduce trades taken in weak zones or counter-trend traps.
• Embrace patience and selectivity: Not all zones are equal. It can be wise to skip very narrow or insignificant zones and wait for those that form after a strong BOS/ChoCH (indicating a powerful move). Larger zones or zones formed during high-volume times tend to produce more reliable pullback opportunities.
• Review and adapt: After each trade, note how price behaved around the zone. If you notice certain Fib levels (like 50% or 61.8%) within the zone consistently provide the best entries, you can refine your approach to focus on those. Similarly, adjust the indicator’s settings if needed – for example, if too many minor zones are cluttering your screen, limit to the last few or increase the structure length parameter to capture only more significant swings.
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By combining the DTFX Algo Zones indicator with disciplined confirmation and risk management, traders can improve their timing on pullback entries and avoid chasing moves. This indicator shines in helping you trade what you see, not what you feel – the clearly marked zones and structure shifts keep you grounded in price action reality. Whether you’re a trend trader looking to buy the dip/sell the rally, or a reversal trader hunting for exhaustion points, DTFX Algo Zones provides a robust visual aid to elevate your trading decisions. Use it as a complementary tool in your analysis to stay on the right side of the market’s structure and enhance your trading performance.
