Enhanced Range Filter Strategy with ATR TP/SLBuilt by Omotola
## **Enhanced Range Filter Strategy: A Comprehensive Overview**
### **1. Introduction**
The **Enhanced Range Filter Strategy** is a powerful technical trading system designed to identify high-probability trading opportunities while filtering out market noise. It utilizes **range-based trend filtering**, **momentum confirmation**, and **volatility-based risk management** to generate precise entry and exit signals. This strategy is particularly useful for traders who aim to capitalize on trend-following setups while avoiding choppy, ranging market conditions.
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### **2. Key Components of the Strategy**
#### **A. Range Filter (Trend Determination)**
- The **Range Filter** smooths price fluctuations and helps identify clear trends.
- It calculates an **adjusted price range** based on a **sampling period** and a **multiplier**, ensuring a dynamic trend-following approach.
- **Uptrends:** When the current price is above the range filter and the trend is strengthening.
- **Downtrends:** When the price falls below the range filter and momentum confirms the move.
#### **B. RSI (Relative Strength Index) as Momentum Confirmation**
- RSI is used to **filter out weak trades** and prevent entries during overbought/oversold conditions.
- **Buy Signals:** RSI is above a certain threshold (e.g., 50) in an uptrend.
- **Sell Signals:** RSI is below a certain threshold (e.g., 50) in a downtrend.
#### **C. ADX (Average Directional Index) for Trend Strength Confirmation**
- ADX ensures that trades are only taken when the trend has **sufficient strength**.
- Avoids trading in low-volatility, ranging markets.
- **Threshold (e.g., 25):** Only trade when ADX is above this value, indicating a strong trend.
#### **D. ATR (Average True Range) for Risk Management**
- **Stop Loss (SL):** Placed **one ATR below** (for long trades) or **one ATR above** (for short trades).
- **Take Profit (TP):** Set at a **3:1 reward-to-risk ratio**, using ATR to determine realistic price targets.
- Ensures volatility-adjusted risk management.
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### **3. Entry and Exit Conditions**
#### **📈 Buy (Long) Entry Conditions:**
1. **Price is above the Range Filter** → Indicates an uptrend.
2. **Upward trend strength is positive** (confirmed via trend counter).
3. **RSI is above the buy threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **📉 Sell (Short) Entry Conditions:**
1. **Price is below the Range Filter** → Indicates a downtrend.
2. **Downward trend strength is positive** (confirmed via trend counter).
3. **RSI is below the sell threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **🚪 Exit Conditions:**
- **Stop Loss (SL):**
- **Long Trades:** 1 ATR below entry price.
- **Short Trades:** 1 ATR above entry price.
- **Take Profit (TP):**
- Set at **3x the risk distance** to achieve a favorable risk-reward ratio.
- **Ranging Market Exit:**
- If ADX falls below the threshold, indicating a weakening trend.
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### **4. Visualization & Alerts**
- **Colored range filter line** changes based on trend direction.
- **Buy and Sell signals** appear as labels on the chart.
- **Stop Loss and Take Profit levels** are plotted as dashed lines.
- **Gray background highlights ranging markets** where trading is avoided.
- **Alerts trigger on Buy, Sell, and Ranging Market conditions** for automation.
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### **5. Advantages of the Enhanced Range Filter Strategy**
✅ **Trend-Following with Noise Reduction** → Helps avoid false signals by filtering out weak trends.
✅ **Momentum Confirmation with RSI & ADX** → Ensures that only strong, valid trades are executed.
✅ **Volatility-Based Risk Management** → ATR ensures adaptive stop loss and take profit placements.
✅ **Works on Multiple Timeframes** → Effective for day trading, swing trading, and scalping.
✅ **Visually Intuitive** → Clearly displays trade signals, SL/TP levels, and trend conditions.
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### **6. Who Should Use This Strategy?**
✔ **Trend Traders** who want to enter trades with momentum confirmation.
✔ **Swing Traders** looking for medium-term opportunities with a solid risk-reward ratio.
✔ **Scalpers** who need precise entries and exits to minimize false signals.
✔ **Algorithmic Traders** using alerts for automated execution.
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### **7. Conclusion**
The **Enhanced Range Filter Strategy** is a powerful trading tool that combines **trend-following techniques, momentum indicators, and risk management** into a structured, rule-based system. By leveraging **Range Filters, RSI, ADX, and ATR**, traders can improve trade accuracy, manage risk effectively, and filter out unfavorable market conditions.
This strategy is **ideal for traders looking for a systematic, disciplined approach** to capturing trends while **avoiding market noise and false breakouts**. 🚀
Grafik Paternleri
CISD with Alerts [neo|]█ OVERVIEW
CISD (or Change in State of Delivery) is an ICT concept and reversal pattern which may allow traders to identify reversals or changes in market structure early, compared to using traditional market structure. This script aims to correctly identify, and update these levels and provide alerts, so that traders can take advantage of this concept with ease.
█ CONCEPTS
Simply put, CISD may be identified when price closes above the open of the candle which started the most recent downtrend or liquidity sweep. Generally, it is most powerful when applied to key points in the market as a confirmation from where you may want price to reverse.
For example, when price is in a downtrend, we take the open of the last consecutive downwards candle and observe the CISD once price closes above it, beginning an uptrend.
Examples:
COMEX:GC1!
CME_MINI:NQ1!
█ How to use
To use the indicator, simply apply it to your chart and modify any of your desired inputs.
• Bullish CISD color allows you to change the color of +CISD levels.
• Bearish CISD color allows you to change the color of -CISD levels.
• Line width allows you to modify the width of +-CISD lines.
• Line extension bars allows you to change how far ahead CISD levels are drawn (by default it is 5).
• Keep old CISD levels will allow you to preserve all past CISD levels if you would like to observe the logic.
• Enable stat table will let you add a table on your chart which will tell you the current CISD trend, as well as your ticker and timeframe.
• Table position allows you to customize where the table will appear on your chart.
GQT GPT - Volume-based Support & Resistance Zones V2搞钱兔，搞钱是为了更好的生活。
Title: GQT GPT - Volume-based Support & Resistance Zones V2
Overview:
This strategy is implemented in PineScript v5 and is designed to identify key support and resistance zones based on volume-driven fractal analysis on a 1-hour timeframe. It computes fractal high points (for resistance) and fractal low points (for support) using volume moving averages and specific price action criteria. These zones are visually represented on the chart with customizable lines and zone fills.
Trading Logic:
• Entry: The strategy initiates a long position when the price crosses into the support zone (i.e., when the price drops into a predetermined support area).
• Exit: The long position is closed when the price enters the resistance zone (i.e., when the price rises into a predetermined resistance area).
• Time Frame: Trading signals are generated solely from the 1-hour chart. The strategy is only active within a specified start and end date.
• Note: Only long trades are executed; short selling is not part of the strategy.
Visualization and Parameters:
• Support/Resistance Zones: The zones are drawn based on calculated fractal values, with options to extend the lines to the right for easier tracking.
• Customization: Users can configure the appearance, such as line style (solid, dotted, dashed), line width, colors, and label positions.
• Volume Filtering: A volume moving average threshold is used to confirm the fractal signals, enhancing the reliability of the support and resistance levels.
• Alerts: The strategy includes alert conditions for when the price enters the support or resistance zones, allowing for timely notifications.
⸻
搞钱兔，搞钱是为了更好的生活。
标题： GQT GPT - 基于成交量的支撑与阻力区间 V2
概述：
本策略使用 PineScript v5 实现，旨在基于成交量驱动的分形分析，在1小时级别的图表上识别关键支撑与阻力区间。策略通过成交量移动平均线和特定的价格行为标准计算分形高点（阻力）和分形低点（支撑），并以自定义的线条和区间填充形式直观地显示在图表上。
交易逻辑：
• 进场条件： 当价格进入支撑区间（即价格跌入预设支撑区域）时，策略在没有持仓的情况下发出做多信号。
• 离场条件： 当价格进入阻力区间（即价格上升至预设阻力区域）时，持有多头头寸则会被平仓。
• 时间范围： 策略的信号仅基于1小时级别的图表，并且仅在指定的开始日期与结束日期之间生效。
• 备注： 本策略仅执行多头交易，不进行空头操作。
可视化与参数设置：
• 支撑/阻力区间： 根据计算得出的分形值绘制支撑与阻力线，可选择将线条延伸至右侧，便于后续观察。
• 自定义选项： 用户可以调整线条样式（实线、点线、虚线）、线宽、颜色及标签位置，以满足个性化需求。
• 成交量过滤： 策略使用成交量移动平均阈值来确认分形信号，提高支撑和阻力区间的有效性。
• 警报功能： 当价格进入支撑或阻力区间时，策略会触发警报条件，方便用户及时关注市场变化。
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Body Percentage of Range (Colored)Short Description:
This indicator measures the dominance of the candle's body relative to its total range (High - Low), providing a visual gauge of intra-candle strength versus indecision. Columns are colored based on whether the body constitutes more or less than a defined percentage (default 50%) of the candle's total height.
Detailed Description:
What it Does:
The "Body Percentage of Range" indicator calculates, for each candle, what percentage of the total price range (High minus Low) is occupied by the candle's body (absolute difference between Open and Close).
A value of 100% means the candle has no wicks (a Marubozu), indicating strong conviction during that period.
A value of 0% means the candle has no body (a Doji), indicating perfect indecision.
Values in between show the relative balance between the directional move (body) and the price exploration/rejection (wicks).
How to Interpret:
The indicator plots this percentage as columns:
Column Height: Represents the percentage of the body relative to the total range. Higher columns indicate a larger body dominance.
Column Color:
Green Columns: Appear when the body percentage is above the user-defined threshold (default 50%). This suggests that the directional move within the candle was stronger than the indecision (wicks). Often seen during trending moves or strong momentum candles.
Red Columns: Appear when the body percentage is at or below the user-defined threshold (default 50%). This suggests that wicks dominate the candle (body is 50% or less of the range), indicating significant indecision, struggle between buyers and sellers, or potential reversals. These are common in choppy, consolidating, or reversal market conditions.
Orange Line (Optional MA): A Simple Moving Average (SMA) of the body percentages is plotted to help smooth the readings and identify broader periods where candle structure indicates more trending (high MA) vs. ranging/indecisive (low MA) characteristics.
Potential Use Cases:
Identifying Choppy vs. Trending Markets: Sustained periods of low, predominantly red columns (and often a low/declining MA) can signal a choppy, range-bound market where trend-following strategies might underperform. Conversely, periods with frequent high, green columns suggest a more trending environment.
Confirming Breakouts/Momentum: High green columns appearing alongside increased volume during a breakout can add conviction to the move's strength.
Spotting Potential Exhaustion/Reversals: A very tall green column after a strong trend, followed immediately by a low red column (like a Doji or Spinning Top pattern appearing on the price chart), might signal potential exhaustion or a pending reversal, indicating indecision has suddenly entered the market.
Filtering Entries: Traders might avoid taking entries (especially trend-following ones) when the indicator shows a consistent pattern of low red columns, suggesting high market indecision.
Settings:
Color Threshold %: Allows you to set the percentage level above which columns turn green (default is 50%).
Smoothing MA Length: Adjusts the lookback period for the Simple Moving Average.
Disclaimer:
This indicator is a tool for technical analysis and should be used in conjunction with other methods (like price action, volume analysis, other indicators) and robust risk management. It does not provide direct buy/sell signals and past performance is not indicative of future results.
GLB - Green Line BreakoutThis script helps traders automatically detect Green Line Breakouts (GLBs) — a concept popularized by Dr. Eric Wish. A GLB occurs when a stock breaks out above a long-term pivot high that hasn’t been touched for a specified confirmation period (e.g., 3 months).
📌 Key Features:
Pivot High Detection based on customizable pivot strength.
Flexible Lookback Periods: Choose from 1 week to 5 years or ATH.
Confirmation Logic: Ensures the pivot remains unbroken for a set period before being marked as valid.
Breakout Detection: Marks the first breakout bar with a labeled event.
Dynamic Timeframe Support: Use daily bars or scale automatically with your chart's timeframe.
Historical Anchoring: Draws persistent lines from confirmation to breakout, helping visualize past GLBs.
🛠 Settings Include:
Pivot Strength
Timeframe Mode (Daily or Current)
Lookback Period (1W–ATH)
Confirmation Period (1W–1Y)
Today's Daily LevelsTrack daily price action like a pro with instant visibility of key levels, percentages, and P&L values - all in one clean view.
• Shows Daily Open, High, Low & Median levels
• Dynamic color-coding: green above open, red below
• Real-time price labels with:
Exact price levels
% distance between levels
Point values
Dollar values per contract
• Auto-repaints on timeframe changes
• 30min alerts for median crosses
Rubotics TDI Top/Bottom Indicator**Rubotics TDI Top/Bottom Indicator (Rubots TDI T/B)**
This proprietary indicator integrates several technical analysis tools into one cohesive system to help traders identify potential top and bottom signals directly on the price chart. Unlike standard indicators that merely plot common metrics, this script uniquely fuses a custom moving average algorithm with established oscillators to enhance signal clarity and market timing.
**Core Components and Unique Features:**
- **Global Visual Settings:**
- Easily toggle visual elements (tables, background highlights) that display key metrics and trading setup information.
- Provides a detailed on-chart display of strategy data and essential trading parameters.
- **MAVW Calculation (Proprietary):**
- Computes a series of weighted moving averages using Fibonacci-inspired lengths (3, 5, 8, 13, 21, 34) to generate a dynamic moving average (MAVW).
- The MAVW line is color-coded—blue when trending upward, red when trending downward, and yellow when neutral—to offer an immediate visual cue of market direction.
- **RSI Module:**
- Calculates the RSI on a user-selected price source (default: close) with a customizable period (default: 14).
- Adjustable thresholds (default: 45 and 55) allow for fine-tuning of overbought and oversold conditions.
- **TDI Component:**
- Adapts the RSI into a dynamic channel using a simple moving average and a scaled standard deviation (multiplied by 1.6185) to form upper and lower bands.
- Incorporates both fast and slow moving averages (default periods: 2 and 7) with optional band filling to visually highlight momentum changes.
- **Note:** The TDI logic is based on public methodologies for converting RSI data into a dynamic indicator.
- **WaveTrend Oscillator:**
- Uses configurable channel and smoothing parameters to generate a WaveTrend line for additional momentum confirmation.
- The oscillator is used to further validate top and bottom signals by identifying overbought or oversold conditions.
- **Note:** The WaveTrend calculations are derived from widely available, public-domain techniques.
- **Signal Generation:**
- **Buy Signal:** Generated when the RSI is below its lower threshold, the TDI fast MA crosses above the lower band (with prior bar confirmation), the price is below the MAVW, and the WaveTrend indicates oversold conditions.
- **Sell Signal:** Generated when the RSI is above its upper threshold, the TDI fast MA crosses below the upper band (with prior bar confirmation), the price is above the MAVW, and the WaveTrend signals overbought conditions.
- Signals are visually marked on the chart with upward and downward triangles and accompanied by alert conditions.
- **Volume-Based Bar Coloring & Additional Visuals:**
- Colors price bars based on volume relative to a moving average to highlight the strength of moves.
- Provides background color changes and a dynamic table of key metric values (MAVW, RSI, TDI bands, WaveTrend) for real-time analysis.
**Customization and Originality:**
- Extensive input parameters allow traders to adjust each component to suit their trading style and market conditions.
- The unique combination of the proprietary MAVW calculation with traditional RSI, TDI, and WaveTrend elements creates a robust system for detecting market tops and bottoms.
- **Closed-Source Justification:**
This indicator is published as a closed-source script due to the proprietary enhancements integrated into the MAVW algorithm and signal generation logic. These unique modifications provide added value beyond standard public indicators.
EMA Shakeout DetectorEMA Shakeout & Reclaim Zones
Description:
This Pine Script helps traders quickly identify potential shakeout entries based on price action and volume dynamics. Shakeouts often signal strong accumulation, where institutions drive the stock below a key moving average before reclaiming it, creating an opportunity for traders to enter at favorable prices.
How It Works:
1. Volume Surge Filtering:
a. Computes the 51-day Simple Moving Average (SMA) of volume.
b. Identifies days where volume surged 2x above the 51-day average.
c. Filters stocks that had at least two such high-volume days in the last 21 trading days (configurable).
2. Stock Selection Criteria:
a. The stock must be within 25% of its 52-week high.
b. It should have rallied at least 30% from its 52-week low.
Shakeout Conditions:
1. The stock must be trading above the 51-day EMA before the shakeout.
2. A sudden price drop of more than 10% occurs, pushing the stock below the 51-day EMA.
3. A key index (e.g., Nifty 50, S&P 500) must be trading above its 10-day EMA, ensuring overall market strength.
Visualization:
Shakeout zones are highlighted in blue, making it easier to spot potential accumulation areas and study price & volume action in more detail.
This script is ideal for traders looking to identify institutional shakeouts and gain an edge by recognizing high-probability reversal setups.
Multi-timeframe Trend & Momentum DashboardMulti-Timeframe Trend & Momentum Dashboard
This indicator is a comprehensive multi-timeframe analysis tool designed for traders who want to quickly assess market trends and momentum across several timeframes. It combines trend detection with duration tracking and displays key information in an easy-to-read on-chart table. Key features include:
Multi-Timeframe Analysis:
Analyzes nine different timeframes (from 1-minute up to 1-week) simultaneously, helping you gauge the overall market trend at a glance.
Trend Detection & Duration:
Uses a combination of a short-term EMA and a long-term SMA to determine whether the market is bullish, bearish, or neutral. It also tracks how long the current trend has persisted in terms of consecutive bars and displays this duration next to each timeframe.
RSI Display & Visual Alerts:
Calculates the RSI for each timeframe. RSI values are color-coded—green when above 50 (indicating bullish momentum) and red when below 50 (indicating bearish conditions). Additionally, if the market is bearish on a particular timeframe while the RSI is above 50, the RSI cell flashes yellow to alert you of a potential trend reversal or divergence.
On-Chart Trend Start Markers:
When a new trend is detected on your current chart’s timeframe, the indicator automatically marks the bar with a label showing the new trend direction, providing a clear visual cue for trend changes.
This powerful tool is perfect for traders looking to combine multi-timeframe trend analysis with momentum indicators, enabling a more informed and dynamic trading strategy. Whether you’re a day trader or swing trader, the Multi-Timeframe Trend & Momentum Dashboard brings clarity to market conditions across multiple time horizons.
2:45 AM Candle High/Low Crossing Bars2:45 AM Candle High/Low Crossing Bars is an indicator that focuses on the trading view 2:45am NY TIME high and low indicating green for buy and red bars for sell, with the 2:45am new york time highlight/ If the next candle sweeps the low we buy while if it sweeps the high we sell, all time zoon must be the new York UTC time.
Box Chart Overlay StrategyExploring the Box Chart Overlay Strategy with RSI & Bollinger Confirmation
The “Box Chart Overlay Strategy by BD” is a sophisticated TradingView strategy script written in Pine Script (version 5). It combines a box charting method with two widely used technical indicators—Relative Strength Index (RSI) and Bollinger Bands—to generate trade entries. In this article, we break down the strategy’s components, its logic, and how it visually represents trading signals on the chart.
1. Strategy Setup and User Inputs
Strategy Declaration
At the top of the script, the strategy is declared with key parameters:
Overlay: The indicator is plotted directly on the price chart.
Initial Capital & Position Sizing: It uses a simulated trading account with an initial capital of 10,000 and positions sized as a percentage of equity (10% by default).
Commission: A commission of 0.1% is factored into trades.
Input Parameters
The strategy is highly customizable. Users can adjust various inputs such as:
Box Settings:
Box Size (RSboxSize): Defines the size of each price “box.”
Box Options: Choose from three modes:
Standard: Boxes are calculated continuously from the start of the chart.
Anchored: The first box is fixed at a specified time and price.
Daily Reset: The boxes reset each day based on a defined session time.
Color Customizations:
Options to customize the appearance of boxes, borders, labels, and even repainting the candles based on the current price’s relation to box levels.
RSI Settings:
Length, overbought, and oversold levels are set to filter trades.
Bollinger Bands Settings:
Users can set the length of the moving average and the multiplier for standard deviation, which will be used to compute the upper and lower bands.
2. The Box Chart Mechanism
Box Construction
The core idea of a box chart is to group price movement into discrete blocks—or boxes—of a fixed size. In this strategy:
Standard Mode:
The script calculates boxes starting at a rounded price level. When the price moves sufficiently above or below the current box’s boundaries, a new box is drawn.
Anchored and Daily Reset Modes:
These modes allow traders to control where the box calculations begin or to reset them during a specific intraday session.
Visual Elements
Several custom functions handle the visual components:
drawBoxUp() and drawBoxDn():
These functions create boxes in bullish or bearish directions respectively, based on whether the price has exceeded the current box’s high or low.
drawLines() and drawLabels():
Lines are drawn to extend the current box levels, and labels are updated to display key levels or the “remainder” (the difference needed to trigger a new box).
Projected Boxes:
A “projected” box is drawn to indicate potential upcoming box levels, providing an additional visual cue about the price action.
3. Integrating RSI and Bollinger Bands for Trade Confirmation
RSI Integration
The strategy computes the RSI using a user-defined length. It then uses the following conditions to validate entries:
Long Trades (Box Up):
The strategy waits for the RSI to be at or below the oversold level before considering a long entry.
Short Trades (Box Down):
It requires the RSI to be at or above the overbought level before triggering a short entry.
Bollinger Bands Confirmation
In addition to the RSI filter:
For Long Entries:
The price must be at or below the lower Bollinger Band.
For Short Entries:
The price must be at or above the upper Bollinger Band.
By combining these filters with the box breakout logic, the strategy aims to enhance the quality of its trade signals.
4. Dynamic Trade Entries and Alerts
Box Logic and Entry Functions
Two key functions—BoxUpFunc() and BoxDownFunc()—handle the creation of new boxes and also check if trade conditions are met:
When a new box is drawn, the script evaluates if the RSI and Bollinger conditions align.
If conditions are satisfied, the script places an entry order:
Long Entry: Initiated when the price moves upward, RSI indicates oversold, and the price touches or falls below the lower Bollinger Band.
Short Entry: Triggered when the price falls downward, RSI signals overbought, and the price touches or exceeds the upper Bollinger Band.
Alerts
Built-in alert functions notify traders when a new box level is reached. Users can set custom alert messages to ensure they are aware of potential trade opportunities as soon as the conditions are met.
5. Visual Enhancements and Candle Repainting
The script also includes options for repainting candles based on their relation to the current box’s boundaries:
Above, Below, or Within the Box:
Candles are color-coded using user-defined colors, making it easier to visually assess where the price is in relation to the box levels.
Labels and Lines:
These continuously update to reflect current levels and provide an immediate visual reference for potential breakout points.
Conclusion
The Box Chart Overlay Strategy by BD is a multi-faceted approach that marries the traditional box chart technique with modern technical indicators—RSI and Bollinger Bands—to refine entry signals. By offering various customization options for box creation, visual styling, and confirmation criteria, the strategy allows traders to adapt it to different market conditions and personal trading styles. Whether you prefer a continuously running “Standard” mode or a more controlled “Anchored” or “Daily Reset” approach, this strategy provides a robust framework for integrating price action with momentum and volatility measures.
Kase Permission StochasticOverview
The Kase Permission Stochastic indicator is an advanced momentum oscillator developed from Kase's trading methodology. It offers enhanced signal smoothing and filtering compared to traditional stochastic oscillators, providing clearer entry and exit signals with fewer false triggers.
How It Works
This indicator calculates a specialized stochastic using a multi-stage smoothing process:
Initial stochastic calculation based on high, low, and close prices
Application of weighted moving averages (WMA) for short-term smoothing
Progressive smoothing through differential factors
Final smoothing to reduce noise and highlight significant trend changes
The indicator oscillates between 0 and 100, with two main components:
Main Line (Green): The smoothed stochastic value
Signal Line (Yellow): A further smoothed version of the main line
Signal Generation
Trading signals are generated when the main line crosses the signal line:
Buy Signal (Green Triangle): When the main line crosses above the signal line
Sell Signal (Red Triangle): When the main line crosses below the signal line
Key Features
Multiple Smoothing Algorithms: Uses a combination of weighted and exponential moving averages for superior noise reduction
Clear Visualization: Color-coded lines and background filling
Reference Levels: Horizontal lines at 25, 50, and 75 for context
Customizable Colors: All visual elements can be color-customized
Customization Options
PST Length: Base period for the stochastic calculation (default: 9)
PST X: Multiplier for the lookback period (default: 5)
PST Smooth: Smoothing factor for progressive calculations (default: 3)
Smooth Period: Final smoothing period (default: 10)
Trading Applications
Trend Confirmation: Use crossovers to confirm entries in the direction of the prevailing trend
Reversal Detection: Identify potential market reversals when crossovers occur at extreme levels
Range-Bound Markets: Look for oscillations between overbought and oversold levels
Filter for Other Indicators: Use as a confirmation tool alongside other technical indicators
Best Practices
Most effective in trending markets or during well-defined ranges
Combine with price action analysis for better context
Consider the overall market environment before taking signals
Use longer settings for fewer but higher-quality signals
The Kase Permission Stochastic delivers a sophisticated approach to momentum analysis, offering a refined perspective on market conditions while filtering out much of the noise that affects standard oscillators.
yatofxDescription: "Ramon Coto's 3 Session Bar Color" Indicator
This TradingView Pine Script indicator colors candlestick bars based on three custom trading sessions. It allows traders to visually distinguish different market timeframes on their charts.
Features:
Three configurable trading sessions with user-defined time ranges.
Customizable session colors:
Session A → Blue
Session B → Red
Session C → Lime
Enable/disable sessions independently using input toggles.
Automatic session detection: Bars are colored based on the active session.
Optimized for TradingView Mobile & Desktop with clear and efficient logic.
How It Works:
1. User Inputs: The script takes session time ranges and enables/disables each session.
2. Session Detection: The script checks whether the current time falls within any of the defined sessions.
3. Bar Coloring: If a session is active, the corresponding color is applied to the bars.
This indicator helps traders quickly recognize which market session they are in, improving decision-making for session-based strategies.
[TehThomas] - ICT Inversion Fair value Gap (IFVG) The Inversion Fair Value Gap (IFVG) indicator is a powerful tool designed for traders who utilize ICT (Inner Circle Trader) strategies. It focuses on identifying and displaying Inversion Fair Value Gaps, which are critical zones that emerge when traditional Fair Value Gaps (FVGs) are invalidated by price action. These gaps represent key areas where price often reacts, making them essential for identifying potential reversals, trend continuations, and liquidity zones.
What Are Inversion Fair Value Gaps?
Inversion Fair Value Gaps occur when price revisits a traditional FVG and breaks through it, effectively flipping its role in the market. For example:
A bullish FVG that is invalidated becomes a bearish zone, often acting as resistance.
A bearish FVG that is invalidated transforms into a bullish zone, serving as support.
These gaps are significant because they often align with institutional trading activity. They highlight areas where large orders have been executed or where liquidity has been targeted. Understanding these gaps provides traders with a deeper insight into market structure and helps them anticipate future price movements with greater accuracy.
Why This Strategy Works
The IFVG concept is rooted in ICT principles, which emphasize liquidity dynamics, market inefficiencies, and institutional order flow. Traditional FVGs represent imbalances in price action caused by gaps between candles. When these gaps are invalidated, they become inversion zones that can act as magnets for price. These zones frequently serve as high-probability areas for price reversals or trend continuations.
This strategy works because it aligns with how institutional traders operate. Inversion gaps often mark areas of interest for "smart money," making them reliable indicators of potential market turning points. By focusing on these zones, traders can align their strategies with institutional behavior and improve their overall trading edge.
How the Indicator Works
This indicator simplifies the process of identifying and tracking IFVGs by automating their detection and visualization on the chart. It scans the chart in real-time to identify bullish and bearish FVGs that meet user-defined thresholds for inversion. Once identified, these gaps are dynamically displayed on the chart with distinct colors for bullish and bearish zones.
The indicator also tracks whether these gaps are mitigated or broken by price action. When an IFVG is broken, it extends the zone for a user-defined number of bars to visualize its potential role as a new support or resistance level. Additionally, alerts can be enabled to notify traders when new IFVGs form or when existing ones are broken, ensuring timely decision-making in fast-moving markets.
Key Features
Automatic Detection: The indicator automatically identifies bullish and bearish IFVGs based on user-defined thresholds.
Dynamic Visualization: It displays IFVGs directly on the chart with customizable colors for easy differentiation.
Real-Time Updates: The status of each IFVG is updated dynamically based on price action.
Zone Extensions: Broken IFVGs are extended to visualize their potential as support or resistance levels.
Alerts: Notifications can be set up to alert traders when key events occur, such as the formation or breaking of an IFVG.
These features make the tool highly efficient and reduce the need for manual analysis, allowing traders to focus on execution rather than tedious chart work.
Benefits of Using This Indicator
The IFVG indicator offers several advantages that make it an indispensable tool for ICT traders. By automating the detection of inversion gaps, it saves time and reduces errors in analysis. The clearly defined zones improve risk management by providing precise entry points, stop-loss levels, and profit targets based on market structure.
This tool is also highly versatile and adapts seamlessly across different timeframes. Whether you’re scalping lower timeframes or swing trading higher ones, it provides actionable insights tailored to your trading style. Furthermore, by aligning your strategy with institutional logic, you gain a significant edge in anticipating market movements.
Practical Applications
This indicator can be used across various trading styles:
Scalping: Identify quick reversal points on lower timeframes using real-time alerts.
Day Trading: Use inversion gaps as key levels for intraday support/resistance or trend continuation setups.
Swing Trading: Analyse higher timeframes to identify major inversion zones that could act as critical turning points in larger trends.
By integrating this tool into your trading routine, you can streamline your analysis process and focus on executing high-probability setups.
Conclusion
The Inversion Fair Value Gap (IFVG) indicator is more than just a technical analysis tool—it’s a strategic ally for traders looking to refine their edge in the markets. By automating the detection and tracking of inversion gaps based on ICT principles, it simplifies complex market analysis while maintaining accuracy and depth. Whether you’re new to ICT strategies or an experienced trader seeking greater precision, this indicator will elevate your trading game by aligning your approach with institutional behavior.
If you’re serious about improving your trading results while saving time and effort, this tool is an essential addition to your toolkit. It provides clarity in chaotic markets, enhances precision in trade execution, and ensures you never miss critical opportunities in your trading journey.
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Fibonacci Circle Zones🟩 The Fibonacci Circle Zones indicator is a technical visualization tool, building upon the concept of traditional Fibonacci circles. It provides configurable options for analyzing geometric relationships between price and time, used to identify potential support and resistance zones derived from circle-based projections. The indicator constructs these Fibonacci circles based on two user-selected anchor points (Point A and Point B), which define the foundational price range and time duration for the geometric analysis.
Key features include multiple mathematical Circle Formulas for radius scaling and several options for defining the circle's center point, enabling exploration of complex, non-linear geometric relationships between price and time distinct from traditional linear Fibonacci analysis. Available formulas incorporate various mathematical constants (π, e, φ variants, Silver Ratio) alongside traditional Fibonacci ratios, facilitating investigation into different scaling hypotheses. Furthermore, selecting the Center point relative to the A-B anchors allows these circular time-price patterns to be constructed and analyzed from different geometric perspectives. Analysis can be further tailored through detailed customization of up to 12 Fibonacci levels, including their mathematical values, colors, and visibility..
📚 THEORY and CONCEPT 📚
Fibonacci circles represent an application of Fibonacci principles within technical analysis, extending beyond typical horizontal price levels by incorporating the dimension of time. These geometric constructions traditionally use numerical proportions, often derived from the Fibonacci sequence, to project potential zones of price-time interaction, such as support or resistance. A theoretical understanding of such geometric tools involves considering several core components: the significance of the chosen geometric origin or center point , the mathematical principles governing the proportional scaling of successive radii, and the fundamental calculation considerations (like chart scale adjustments and base radius definitions) that influence the resulting geometry and ensure its accurate representation.
⨀ Circle Center ⨀
The traditional construction methodology for Fibonacci circles begins with the selection of two significant anchor points on the chart, usually representing a key price swing, such as a swing low (Point A) and a subsequent swing high (Point B), or vice versa. This defined segment establishes the primary vector—representing both the price range and the time duration of that specific market move. From these two points, a base distance or radius is derived (this calculation can vary, sometimes using the vertical price distance, the time duration, or the diagonal distance). A center point for the circles is then typically established, often at the midpoint (time and price) between points A and B, or sometimes anchored directly at point B.
Concentric circles are then projected outwards from this center point. The radii of these successive circles are calculated by multiplying the base distance by key Fibonacci ratios and other standard proportions. The underlying concept posits that markets may exhibit harmonic relationships or cyclical behavior that adheres to these proportions, suggesting these expanding geometric zones could highlight areas where future price movements might decelerate, reverse, or find equilibrium, reflecting a potential proportional resonance with the initial defining swing in both price and time.
The Fibonacci Circle Zones indicator enhances traditional Fibonacci circle construction by offering greater analytical depth and flexibility: it addresses the origin point of the circles: instead of being limited to common definitions like the midpoint or endpoint B, this indicator provides a selection of distinct center point calculations relative to the initial A-B swing. The underlying idea is that the geometric source from which harmonic projections emanate might vary depending on the market structure being analyzed. This flexibility allows for experimentation with different center points (derived algorithmically from the A, B, and midpoint coordinates), facilitating exploration of how price interacts with circular zones anchored from various perspectives within the defining swing.
Potential Center Points Setup : This view shows the anchor points A and B , defined by the user, which form the basis of the calculations. The indicator dynamically calculates various potential Center points ( C through N , and X ) based on the A-B structure, representing different geometric origins available for selection in the settings.
Point X holds particular significance as it represents the calculated midpoint (in both time and price) between A and B. This 'X' point corresponds to the default 'Auto' center setting upon initial application of the indicator and aligns with the centering logic used in TradingView's standard Fibonacci Circle tool, offering a familiar starting point.
The other potential center points allow for exploring circles originating from different geometric anchors relative to the A-B structure. While detailing the precise calculation for each is beyond the scope of this overview, they can be broadly categorized: points C through H are derived from relationships primarily within the A-B time/price range, whereas points I through N represent centers projected beyond point B, extrapolating the A-B geometry. Point J, for example, is calculated as a reflection of the A-X midpoint projected beyond B. This variety provides a rich set of options for analyzing circle patterns originating from historical, midpoint, and extrapolated future anchor perspectives.
Default Settings (Center X, FibCircle) : Using the default Center X (calculated midpoint) with the default FibCircle . Although circles begin plotting only after Point B is established, their curvature shows they are geometrically centered on X. This configuration matches the standard TradingView Fib Circle tool, providing a baseline.
Centering on Endpoint B : Using Point B, the user-defined end of the swing, as the Center . This anchors the circular projections directly to the swing's termination point. Unlike centering on the midpoint (X) or start point (A), this focuses the analysis on geometric expansion originating precisely from the conclusion of the measured A-B move.
Projected Center J : Using the projected Point J as the Center . Its position is calculated based on the A-B swing (conceptually, it represents a forward projection related to the A-X midpoint relationship) and is located chronologically beyond Point B. This type of forward projection often allows complete circles to be visualized as price develops into the corresponding time zone.
Time Symmetry Projection (Center L) : Uses the projected Point L as the Center . It is located at the price level of the start point (A), projected forward in time from B by the full duration of the A-B swing . This perspective focuses analysis on temporal symmetry , exploring geometric expansions from a point representing a full time cycle completion anchored back at the swing's origin price level.
⭕ Circle Formula
Beyond the center point , the expansion of the projected circles is determined by the selected Circle Formula . This setting provides different mathematical methods, or scaling options , for scaling the circle radii. Each option applies a distinct mathematical constant or relationship to the base radius derived from the A-B swing, allowing for exploration of various geometric proportions.
eScaled
Mathematical Basis: Scales the radius by Euler's number ( e ≈ 2.718), the base of natural logarithms. This constant appears frequently in processes involving continuous growth or decay.
Enables investigation of market geometry scaled by e , exploring relationships potentially based on natural exponential growth applied to time-price circles, potentially relevant for analyzing phases of accelerating momentum or volatility expansion.
FibCircle
Mathematical Basis: Scales the radius to align with TradingView’s built-in Fibonacci Circle Tool.
Provides a baseline circle size, potentially emulating scaling used in standard drawing tools, serving as a reference point for comparison with other options.
GoldenFib
Mathematical Basis: Scales the radius by the Golden Ratio (φ ≈ 1.618).
Explores the fundamental Golden Ratio proportion, central to Fibonacci analysis, applied directly to circular time-price geometry, potentially highlighting zones reflecting harmonic expansion or retracement patterns often associated with φ.
GoldenContour
Mathematical Basis: Scales the radius by a factor derived from Golden Ratio geometry (√(1 + φ²) / 2 ≈ 0.951). It represents a specific geometric relationship derived from φ.
Allows analysis using proportions linked to the geometry of the Golden Rectangle, scaled to produce circles very close to the initial base radius. This explores structural relationships often associated with natural balance or proportionality observed in Golden Ratio constructions.
SilverRatio
Mathematical Basis: Scales the radius by the Silver Ratio (1 + √2 ≈ 2.414). The Silver Ratio governs relationships in specific regular polygons and recursive sequences.
Allows exploration using the proportions of the Silver Ratio, offering a significant expansion factor based on another fundamental metallic mean for comparison with φ-based methods.
PhiDecay
Mathematical Basis: Scales the radius by φ raised to the power of -φ (φ⁻ᵠ ≈ 0.53). This unique exponentiation explores a less common, non-linear transformation involving φ.
Explores market geometry scaled by this specific phi-derived factor which is significantly less than 1.0, offering a distinct contractile proportion for analysis, potentially relevant for identifying zones related to consolidation phases or decaying momentum.
PhiSquared
Mathematical Basis: Scales the radius by φ squared, normalized by dividing by 3 (φ² / 3 ≈ 0.873).
Enables investigation of patterns related to the φ² relationship (a key Fibonacci extension concept), visualized at a scale just below 1.0 due to normalization. This scaling explores projections commonly associated with significant trend extension targets in linear Fibonacci analysis, adapted here for circular geometry.
PiScaled
Mathematical Basis: Scales the radius by Pi (π ≈ 3.141).
Explores direct scaling by the fundamental circle constant (π), investigating proportions inherent to circular geometry within the market's time-price structure, potentially highlighting areas related to natural market cycles, rotational symmetry, or full-cycle completions.
PlasticNumber
Mathematical Basis: Scales the radius by the Plastic Number (approx 1.3247), the third metallic mean. Like φ and the Silver Ratio, it is the solution to a specific cubic equation and relates to certain geometric forms.
Introduces another distinct fundamental mathematical constant for geometric exploration, comparing market proportions to those potentially governed by the Plastic Number.
SilverFib
Mathematical Basis: Scales the radius by the reciprocal Golden Ratio (1/φ ≈ 0.618).
Explores proportions directly related to the core 0.618 Fibonacci ratio, fundamental within Fibonacci-based geometric analysis, often significant for identifying primary retracement levels or corrective wave structures within a trend.
Unscaled
Mathematical Basis: No scaling applied.
Provides the base circle defined by points A/B and the Center setting without any additional mathematical scaling, serving as a pure geometric reference based on the A-B structure.
🧪 Advanced Calculation Settings
Two advanced settings allow further refinement of the circle calculations: matching the chart's scale and defining how the base radius is calculated from the A-B swing.
The Chart Scale setting ensures geometric accuracy by aligning circle calculations with the chart's vertical axis display. Price charts can use either a standard (linear) or logarithmic scale, where vertical distances represent price changes differently. The setting offers two options:
Standard : Select this option when the price chart's vertical axis is set to a standard linear scale.
Logarithmic : It is necessary to select this option if the price chart's vertical axis is set to a logarithmic scale. Doing so ensures the indicator adjusts its calculations to maintain correct geometric proportions relative to the visual price action on the log-scaled chart.
The Radius Calc setting determines how the fundamental base radius is derived from the A-B swing, offering two primary options:
Auto : This is the default setting and represents the traditional method for radius calculation. This method bases the radius calculation on the vertical price range of the A-B swing, focusing the geometry on the price amplitude.
Geometric : This setting provides an alternative calculation method, determining the base radius from the diagonal distance between Point A and Point B. It considers both the price change and the time duration relative to the chart's aspect ratio, defining the radius based on the overall magnitude of the A-B price-time vector.
This choice allows the resulting circle geometry to be based either purely on the swing's vertical price range ( Auto ) or on its combined price-time movement ( Geometric ).
🖼️ CHART EXAMPLES 🖼️
Default Behavior (X Center, FibCircle Formula) : This configuration uses the midpoint ( Center X) and the FibCircle scaling Formula , representing the indicator's effective default setup when 'Auto' is selected for both options initially. This is designed to match the output of the standard TradingView Fibonacci Circle drawing tool.
Center B with Unscaled Formula : This example shows the indicator applied to an uptrend with the Center set to Point B and the Circle Formula set to Unscaled . This configuration projects the defined levels (0.236, 0.382, etc.) as arcs originating directly from the swing's termination point (B) without applying any additional mathematical scaling from the formulas.
Visualization with Projected Center J : Here, circles are centered on the projected point J, calculated from the A-B structure but located forward in time from point B. Notice how using this forward-projected origin allows complete inner circles to be drawn once price action develops into that zone, providing a distinct visual representation of the expanding geometric field compared to using earlier anchor points. ( Unscaled formula used in this example).
PhiSquared Scaling from Endpoint B : The PhiSquared scaling Formula applied from the user-defined swing endpoint (Point B). Radii expand based on a normalized relationship with φ² (the square of the Golden Ratio), creating a unique geometric structure and spacing between the circle levels compared to other formulas like Unscaled or GoldenFib .
Centering on Swing Origin (Point A) : Illustrates using Point A, the user-defined start of the swing, as the circle Center . Note the significantly larger scale and wider spacing of the resulting circles. This difference occurs because centering on the swing's origin (A) typically leads to a larger base radius calculation compared to using the midpoint (X) or endpoint (B). ( Unscaled formula used).
Center Point D : Point D, dynamically calculated from the A-B swing, is used as the origin ( Center =D). It is specifically located at the price level of the swing's start point (A) occurring precisely at the time coordinate of the swing's end point (B). This offers a unique perspective, anchoring the geometric expansion to the initial price level at the exact moment the defining swing concludes. ( Unscaled formula shown).
Center Point G : Point G, also dynamically calculated from the A-B swing, is used as the origin ( Center =G). It is located at the price level of the swing's endpoint (B) occurring at the time coordinate of the start point (A). This provides the complementary perspective to Point D, anchoring the geometric expansion to the final price level achieved but originating from the moment the swing began . As observed in the example, using Point G typically results in very wide circle projections due to its position relative to the core A-B action. ( Unscaled formula shown).
Center Point I: Half-Duration Projection : Using the dynamically calculated Point I as the Center . Located at Point B's price level but projected forward in time by half the A-B swing duration , Point I's calculated time coordinate often falls outside the initially visible chart area. As the chart progresses, this origin point will appear, revealing large, sweeping arcs representing geometric expansions based on a half-cycle temporal projection from the swing's endpoint price. ( Unscaled formula shown).
Center Point M : Point M, also dynamically calculated from the A-B swing, serves as the origin ( Center =M). It combines the midpoint price level (derived from X) with a time coordinate projected forward from Point B by the full duration of the A-B swing . This perspective anchors the geometric expansion to the swing's balance price level but originates from the completion point of a full temporal cycle relative to the A-B move. Like other projected centers, using M allows for complete circles to be visualized as price progresses into its time zone. ( SilverFib formula shown).
Geometric Validation & Functionality : Comparing the indicator (red lines), using its default settings ( Center X, FibCircle Formula ), against TradingView's standard Fib Circle tool (green lines/white background). The precise alignment, particularly visible at the 1.50 and 2.00 levels shown, validates the core geometry calculation.
🛠️ CONFIGURATION AND SETTINGS 🛠️
The Fibonacci Circle Zones indicator offers a range of configurable settings to tailor its functionality and visual representation. These options allow customization of the circle origin, scaling method, level visibility, visual appearance, and input points.
Center and Formula
Settings for selecting the circle origin and scaling method.
Center : Dropdown menu to select the origin point for the circles.
Auto : Automatically uses point X (the calculated midpoint between A and B).
Selectable points including start/end (A, B), midpoint (X), plus various points derived from or projected beyond the A-B swing (C-N).
Circle Formula : Dropdown menu to select the mathematical method for scaling circle radii.
Auto : Automatically selects a default formula ('FibCircle' if Center is 'X', 'Unscaled' otherwise).
Includes standard Fibonacci scaling ( FibCircle, GoldenFib ), other mathematical constants ( PiScaled, eScaled ), metallic means ( SilverRatio ), phi transformations ( PhiDecay, PhiSquared ), and others.
Fib Levels
Configuration options for the 12 individual Fibonacci levels.
Advanced Settings
Settings related to core calculation methods.
Radius Calc : Defines how the base radius is calculated (e.g., 'Auto' for vertical price range, 'Geometric' for diagonal price-time distance).
Chart Scale : Aligns circle calculations with the chart's vertical axis setting ('Standard' or 'Logarithmic') for accurate visual proportions.
Visual Settings
Settings controlling the visual display of the indicator elements.
Plots : Dropdown controlling which parts of the calculated circles are displayed ( Upper , All , or Lower ).
Labels : Dropdown controlling the display of the numerical level value labels ( All , Left , Right , or None ).
Setup : Dropdown controlling the visibility of the initial setup graphics ( Show or Hide ).
Info : Dropdown controlling the visibility of the small information table ( Show or Hide ).
Text Size : Adjusts the font size for all text elements displayed by the indicator (Value ranges from 0 to 36).
Line Width : Adjusts the width of the circle plots (1-10).
Time/Price
Inputs for the anchor points defining the base swing.
These settings define the start (Point A) and end (Point B) of the price swing used for all calculations.
Point A (Time, Price) : Input fields for the exact time coordinate and price level of the swing's starting point (A).
Point B (Time, Price) : Input fields for the exact time coordinate and price level of the swing's ending point (B).
Interactive Adjustment : Points A and B can typically be adjusted directly by clicking and dragging their markers on the chart (if 'Setup' is set to 'Show'). Changes update settings automatically.
📝 NOTES 📝
Fibonacci circles begin plotting only once the time corresponding to Point B has passed and is confirmed on the chart. While potential center locations might be visible earlier (as shown in the setup graphic), the final circle calculations require the complete geometry of the A-B swing. This approach ensures that as new price bars form, the circles are accurately rendered based on the finalized A-B relationship and the chosen center and scaling.
The indicator's calculations are anchored to user-defined start (A) and end (B) points on the chart. When switching between charts with significantly different price scales (e.g., from an index at 5,000 to a crypto asset at $0.50), it is typically necessary to adjust these anchor points to ensure the circle elements are correctly positioned and scaled.
⚠️ DISCLAIMER ⚠️
The Fibonacci Circle Zones indicator is a visual analysis tool designed to illustrate Fibonacci relationships through geometric constructions incorporating curved lines, providing a structured framework for identifying potential areas of price interaction. Like all technical and visual indicators, these visual representations may visually align with key price zones in hindsight, reflecting observed price dynamics. It is not intended as a predictive or standalone trading signal indicator.
The indicator calculates levels and projections using user-defined anchor points and Fibonacci ratios. While it aims to align with TradingView’s standard Fibonacci circle tool by employing mathematical and geometric formulas, no guarantee is made that its calculations are identical to TradingView's proprietary methods.
🧠 BEYOND THE CODE 🧠
The Fibonacci Circle Zones indicator, like other xxattaxx indicators , is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new Fibonacci and grid calculation indicators and tools. We hope this indicator serves as a framework and a starting point for future Innovation and discussions.
Multi-Timeframe Fair Value Gap (FVG)Multi-Timeframe Fair Value Gap (FVG) Indicator
Description
This indicator identifies and displays Fair Value Gaps (FVGs) across multiple timeframes simultaneously. A Fair Value Gap occurs when price moves so quickly that it leaves behind an area where no actual trading has taken place. These areas often act as magnets for price to return to later, making them valuable for traders to identify potential support and resistance zones.
Key features:
·Support for up to 6 different timeframes simultaneously
·Customizable colors for each timeframe
·Option to display middle lines within FVGs
·Automatic FVG mitigation detection (by price or wick)
·Bullish and bearish FVGs clearly distinguished
·Highly customizable appearance
The indicator uses different colors for each timeframe, allowing you to easily distinguish between short-term and long-term FVGs. This makes it an excellent tool for multi-timeframe analysis and for identifying key areas where price might react.
How to Use
Add the indicator to your chart
·Configure the timeframes you want to monitor (default: 5m, 15m, 1h, 4h, Daily, Weekly)
·Customize colors for each timeframe if desired
·Choose between "Close" or "Wick" mitigation method
·Look for areas where multiple FVGs overlap - these often represent stronger zones
The indicator automatically tracks when an FVG has been filled (mitigated) and removes it from the chart. This keeps your analysis clean and focused on active, unfilled gaps that are still likely to affect price.
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该指标可同时识别并显示多个时间周期的公允价值缺口(FVGs)。公允价值缺口发生在价格快速移动时，留下了一个没有实际交易发生的区域。这些区域通常会吸引价格稍后回归，使它们成为交易者识别潜在支撑和阻力区域的有价值工具。
主要特点：
·同时支持多达6个不同的时间周期
·每个时间周期可自定义颜色
·可选显示FVG内的中线
·自动检测FVG的填补(通过收盘价或影线)
·清晰区分看涨和看跌的FVG
·高度可定制的外观
注意：此版本为单次缓解版本，FVG只要被触碰到1次就会被缓解，不会等待fvg完全穿越才缓解
Imbalance(FVG) DetectorImbalance (FVG) Detector
Overview
The Imbalance (FVG) Detector is a technical analysis tool designed to highlight price inefficiencies by identifying Fair Value Gaps (FVGs). These gaps occur when rapid price movement leaves an area with little to no traded volume, which may later act as a zone of interest. The indicator automatically detects and marks these imbalances on the chart, allowing users to observe historical price behavior more effectively.
Key Features
- Automatic Imbalance Detection: Identifies bullish and bearish imbalances based on a structured three-bar price action model.
- Customizable Sensitivity: Users can adjust the minimum imbalance percentage threshold to tailor detection settings to different assets and market conditions.
- Real-time Visualization: Marked imbalances are displayed as colored boxes directly on the chart.
- Dynamic Box Updates: Imbalance zones extend forward in time until price interacts with them.
- Alert System: Users can set alerts for when new imbalances appear or when price tests an existing imbalance.
How It Works
The indicator identifies market imbalances using a three-bar price structure:
- Bullish Imbalance: Occurs when the high of three bars ago is lower than the low of the previous bar, forming a price gap.
- Bearish Imbalance: Occurs when the low of three bars ago is higher than the high of the previous bar, creating a downward gap.
When an imbalance is detected:
- Green Boxes indicate bullish imbalances.
- Red Boxes indicate bearish imbalances.
- Once price interacts with an imbalance, the box fades to gray, marking it as tested.
! Designed for Crypto Markets
This indicator is particularly useful in crypto markets, where frequent volatility can create price inefficiencies. It provides a structured way to visualize gaps in price movement, helping users analyze historical liquidity areas.
Customization Options
- Min Imbalance Percentage Size: Adjusts the sensitivity of the imbalance detection.
- Alerts: Users can enable alerts to stay notified of new or tested imbalances.
Important Notes
- This indicator is a technical analysis tool and does not provide trading signals or financial advice.
- It does not predict future price movement but highlights historical price inefficiencies.
- Always use this tool alongside other market analysis methods and risk management strategies.
Radi IQ [TradingIQ]Introducing "Radi IQ".
Radi IQ is a comprehensive market structure indicator designed to provide traders with a detailed view of key price levels and market behavior. It combines several analytical methods—including internal and external structure analysis, fair value gaps, order blocks, breaker blocks, rejection blocks, premium discount zones, equal levels, directional liquidity grabs, and trend meters —to help users better understand areas of support and resistance, potential turning points, and liquidity events in the market.
Key Components and Their Functions
Market Structure Analysis
Internal and External Structure : The indicator evaluates market structure on two levels. The internal analysis focuses on immediate price action (e.g., recent support/resistance and swing points), while the external analysis uses a higher timeframe to provide context. This dual approach helps to confirm the strength of key levels by comparing short-term moves with the broader market trend.
Break of Structure (BoS) and Change of Character (CHoCH) : These signals highlight moments when the market shifts its behavior. A BoS indicates that a previous level of support or resistance has been overcome, while a CHoCH signals a change in the market’s character. Both are marked clearly on the chart using distinct color codes.
Break of Structure + (BoS+) and Change of Character + (CHoCH+) : These signals highlight moments when the market shifts its behavior and is confirmed by prior price action. A BoS + indicates that a previous level of support or resistance has been overcome, while price action achieves higher highs and higher lows (resistance break) or lower highs and lower lows (support break). CHoCH + signals a change in the market’s character when supported by prior price action - lower highs for a support break and higher lows for a resistance break.
BoS and CHoCH
The image above shows BoS and CHoCH identified on the price chart, and explains what each signifies.
A Break Of Structure (BoS) occurs when price decisively moves beyond a previously established support or resistance level. It indicates that the current trend or market pattern is being challenged, and the market may be ready to change direction.
A Change of Character (CHoCH) describes a shift in how the market behaves. A CHoCH occurs when, in an uptrend, a previously established support level breaks, or in a downtrend, a previously established resistance level breaks.
This break indicates that the market's typical structure is shifting, suggesting that the current trend may be losing its strength and that a reversal or a new trend could be developing.
CHoCH+
The image above explains CHoCH+ and how it forms, while highlighting an instance where a downside CHoCH+ formed following lower highs.
A Change of Character + (CHoCH+) describes a shift in how the market behaves that is supported by prior price action. For support breaks, price must form lower highs before breaking support.
The image above explains CHoCH+ for resistance breaks, while highlighting an instance where a resistance point broke that was supported by prior price action.
BoS+
The image above explains BoS+ and how it forms, while highlighting an instance where an upside BoS+ formed following higher highs and higher lows.
A BoS+ resistance break requires higher highs and higher lows prior to the resistance point being closed over.
The image above explains BoS+ support break, while highlighting an instance where a downside BoS+ formed following lower highs and lower lows.
A BoS+ support break requires lower highs and lower lows prior to the support point being closed under.
Future BoS and CHoCH
Radi IQ also displays where the next BoS and CHoCH points are located.
The image above shows the feature in action. With this, traders will always know where the next key support/resistance breakpoints are before they actually occur.
Fair Value Gaps (FVG)
The indicator identifies gaps in the price where little or no trading occurred—known as fair value gaps. These gaps can act as temporary support or resistance and may indicate areas where the market is likely to correct. FVGs are displayed with clear color gradients that differentiate between upward and downward gaps.
The image above shows an identified upside FVG. In the image, the identified upside FVG acted as a support point for price.
The image above shows an identified downside FVG. In the image, the identified downside FVG acted as a resistance point for price.
Low Volume FVG
In addition to identifying trading FVGs - Radi IQ can also specifically detect low volume fair value gaps. Ideally, these fair value gaps will form inside a low volume node on a volume profile.
Low volume node FVGs are important because these are areas where very little trading occurred and is confirmable, indicating an imbalance in supply and demand. Since few trades took place there, the market often moves quickly through these zones when revisited, which can lead to rapid price changes. This "gap" in trading activity can serve as a signal for potential reversals or fast moves, offering opportunities to enter or exit positions based on expected market behavior.
The image above shows identified FVGs that formed on low volume.
Large Area FVGs
Radi IQ is also capable of filtering out “inconsequential” FVGs. With this, Radi IQ can be enabled to only mark FVGs that cover a wide price range.
The image above shows the feature enabled, and all identified FVGs formed with a wide price range.
Large Area FVGs and Low Volume FVGs Combined
Traders can also enable Radi IQ to only mark FVGs that form on low volume and have a wide price range - allowing traders to only identify the highest quality FVGs on the chart.
Order Blocks and Premium Discount Zones
Order Blocks: Radi IQ detects areas where large orders have previously been placed by institutional traders. These blocks can act as strong levels of support or resistance, and the indicator marks bullish and bearish order blocks with dedicated colors.
What is an order block?
Order blocks are clusters of orders that institutions have executed to enter or exit a market position. They typically form when there is a period of consolidation before a significant move. For example, the last bullish candle before a strong down move may indicate a supply order block, while the last bearish candle before a sharp rally might be considered a demand order block.
Why They Form:
Institutions don’t trade in small, sporadic amounts; they accumulate or distribute large volumes of an asset. To avoid slippage and minimize market impact, they execute these orders over a zone rather than at a single price point. This creates a recognizable “block” on the chart.
Order Block Identification Types
Strength Score
The “Strength Score” order block detection mode is a TradingIQ proprietary ranking system for identified order blocks.
Purpose
The purpose of the “Strength Score” ranking system is to determine the “strength” or significance of an order block and rate the zone’s likelihood to act as support/resistance when retested in the future.
The scoring system ranks from 0 - 10, with “0” indicating a “weak” score or low likelihood of acting as a key support/resistance level when retested in the future.
A rating of “5” indicates a “moderate” score, indicating that the order block has a moderate likelihood of acting as a key support/resistance level when retested in the future.
A rating of “10” indicates a “strong” score, indicating that the order block has a strong likelihood of acting as a key support/resistance level when retested in the future.
How It Works
The score is calculated by examining the price move following the formation of an order block. The stronger the price move after an order block forms - the higher the Strength Score.
The image above shows a bearish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
The image above shows a bullish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
Volume-Based
The volume-based order block detection method detects traditional order blocks, but goes one step further by identifying the highest concentration point of volume for the bar and drawing the order block around this concentration point.
Key features when using the volume-based order block detection method:
The top of the order block is anchored to the top of the highest volume concentration point of the bar
The bottom of the order block is anchored to the bottom of the highest volume concentration point of the bar
The total volume that went into creation of the order block is displayed on the chart
The total volume of the order block is recorded as a percentage relative to the total volume for all order blocks on the chart
The image above shows the detection method in action.
Breaker Blocks
A breaker block is a specific type of order block that gains significance when price breaks through it and then often retests the level as a new area of support or resistance. Essentially, it’s a zone where, after the initial break, the previous level (which once acted as strong support or resistance) flips roles. For example, in an uptrend, if the price falls below a key support level, that level can become a breaker block and act as resistance if the price tries to move back up. Conversely, in a downtrend, a broken resistance level can serve as new support. Traders monitor breaker blocks because they often mark a shift in market sentiment and can provide potential entry or exit points once the market re-engages with these levels.
The image above shows a breaker block above price acting as resistance.
The image above shows a breaker block below price acting as support.
Rejection Blocks
A rejection block is a price area where the market shows a strong unwillingness to move beyond a certain level. This typically happens when price approaches a specific level but then is quickly rejected, leading to a bounce in the opposite direction. In other words, a rejection block forms when traders' orders create a barrier, causing the price to reverse rather than break through. Traders watch these areas closely, as they often signal a strong concentration of supply or demand that could provide potential entry or exit points for trades.
The image above shows both a verified upside rejection block acting as resistance, and an untested downside rejection block.
Rejection blocks are expected to function as strong support/resistance points when retested in the future.
Premium Discount Zones
Premium Discount Zones : These zones reflect areas where price is trading above (premium) or below (discount) a fair value range. They help traders gauge whether the current market price is relatively high or low compared to historical averages.
Premium Discount Zones account for recent swing highs and lows to calculate a fair value along with discount and premium prices over an intermediate time window.
The image above shows the premium and discount price zones in action.
Equal Levels
The indicator also tracks and highlights equal levels, which occur when the market repeatedly tests the same price levels. Equal levels can reinforce the significance of a support or resistance area and are represented by their own set of color markers.
The image above shows Radi IQ distinguishing equal highs and equal lows.
Equal Highs
When you see two or more highs that are approximately the same, it suggests that the market is repeatedly rejecting attempts to push higher. This signals a strong resistance level where sellers (or stop-hunters) are active.
Equal Lows
Similarly, consecutive lows at the same level indicate strong support, where buyers step in consistently, preventing further decline.
Strong Highs and Lows
Strong High
A strong high is a price level where the market repeatedly fails to push higher. Typically, it’s characterized by:
Rejection: Price approaches the high but then reverses sharply, often leaving long upper wicks on the candlestick chart.
Consolidation: Multiple bars might show highs that are very close in value (often termed "equal highs"), indicating a well-established resistance zone.
Market Sentiment: This pattern suggests that sellers are actively defending that level, preventing further upward movement.
Strong Lows
Conversely, a strong low is a price level where the market repeatedly fails to break lower. It is identified by:
Bounce Back: Price touches the low and then rebounds sharply, often leaving long lower wicks.
Consistency: Multiple lows occur around the same level (sometimes referred to as "equal lows"), marking a solid support area.
Market Sentiment: This indicates that buyers are stepping in at that level, absorbing selling pressure and supporting the price.
The image above shows Radi IQ detecting both a strong high and strong low, while the detected strong low acts as support when retested.
Liquidity Grabs
Liquidity grabs occur when the market temporarily moves to absorb liquidity, often triggering stop-loss orders and leading to rapid price movements. Radi IQ flags these events by identifying conditions where price moves against recent pivots, helping traders spot potential liquidity-related reversals or breakouts.
The image above shows Radi IQ identifying both an upside liquidity grab and a downside liquidity grab.
Upside Liquidity Grab (Bearish)
An upside liquidity grab happens when the price moves above a well-known resistance area or recent high. This move is often short-lived.
Many traders place stop-loss orders or pending buy orders just above resistance levels. Institutional players may intentionally push price upward to trigger these orders, thereby “grabbing” the liquidity available at that level.
Downside Liquidity Grab (Bullish)
A downside liquidity grab is the mirror image: the price briefly dips below a key support level or recent low.
Traders often place stop-loss orders or pending sell orders just below support levels. An intentional drop below this support can trigger these stops, allowing institutional players to capture liquidity.
Multi-Timeframe Analysis and Swings
By using data from different timeframes, Radi IQ offers a broader perspective on market trends. It highlights significant swing highs and swing lows, providing visual cues that indicate the market’s directional bias. This feature assists traders in identifying both short-term opportunities and long-term trends.
The image above shows Radi IQ detecting higher swings and lower swings.
IQ Meters / Fibometer
IQ Meters (Fibometers) are a proprietary TradingIQ tool that allows traders to easily identify the highs and lows of the current trend and where current price is relative to these points.
The image above depicts the IQ Meters—an exclusive TradingIQ tool designed to help traders evaluate trend strength and retracement opportunities.
When the lower timeframe Zig Zag IQ and the higher timeframe Zig Zag IQ are out of sync (i.e., one is uptrending while the other is downtrending, with no active positions), the meters display a neutral color as shown in the image.
The key to using these meters is to identify trend unison and pinpoint key trend retracement entry opportunities. Fibonacci retracement levels for the current trend are interlaced along each meter, and the current price is converted to a retracement ratio of the trend.
These meters can mathematically determine where price stands relative to the larger and smaller trends, aiding in identifying entry opportunities.
The top of each meter indicates the highest price achieved during the current price move.
The bottom of each meter indicates the lowest price achieved during the current price move.
When both the larger and smaller trends are in sync and uptrending, or when a long position is active, the IQ meters turn green, indicating uptrend strength.
When both meters are green, it indicates uptrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
When both trends are in sync and downtrending, or when a short position is active, the IQ meters turn red, indicating downtrend strength.
When both meters are red, it indicates downtrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
Summary
Radi IQ serves as a robust, data-driven tool for traders who seek a deeper understanding of market structure. By integrating internal and external analysis, fair value gap detection, order block identification, premium discount zoning, equal level tracking, liquidity grabs and much more into one indicator, it offers a multi-layered view of the market. This helps traders not only recognize potential turning points and areas of market stress but also manage risk more effectively and plan their trades with greater precision. The indicator’s clear visual representation and dynamic updates make it a practical addition to any trader’s toolkit.
Renko Flip MarkerThis script shows on chart where Renko bricks flip for candlestick chart. I intended it for candlestick chart, but it seems to work Renko chart too from my testing so far. You may change the Renko size for your own scenario you're trading. Hopefully helps, Thank you.
Happy BoxesThe logic behind this indicator is based off of time and a move just before or after a new hourly open. The larger boxes represent one (1) hour each. The smaller colored boxes inside the larger boxes highlight the 1 minute opening candle of each hour.
These 1 minute colored opening candles more often than not will act as magnets, especially when they open and immediately run away in one direction too quickly. You will see a reversal back to that open. When you see your reversal setup use these as targets.
Back test and track the timing of these reversals and the type of candle. The timing aspect is unreal. Good luck with it. It has brought me and many others financial freedom. Feel free to reach out with any questions.
Mickey's BBMickey's BB – Smart Reversal Detector with SL Tracking 🔁
This indicator combines the power of Bollinger Bands with engulfing candle patterns to identify high-probability reversal points.
✅ Buy Signal: Triggered when a red candle touches the lower Bollinger Band and is engulfed by a green candle within the next few candles.
✅ Sell Signal: Triggered when a green candle touches the upper Bollinger Band and is engulfed by a red candle within the next few candles.
✅ Smart Lookahead: Scans up to X candles ahead (user-defined) to confirm engulfing reversals — reducing noise in sideways markets.
✅ Dynamic Stop-Loss & Target: Automatically plots SL/TP levels based on user-defined % thresholds.
✅ SL HIT Labels: Highlights exactly when a stop-loss is breached, giving clear visual feedback on trade failures.
✅ Adaptive Market Filter: Signals are only shown when Bollinger Band width exceeds a minimum threshold — filtering out weak/noise signals in low volatility.
🔍 Ideal for reversal traders, scalpers, and those who love combining price action with volatility-based setups.
🛠️ Customizable Parameters:
SMA Period & Std Dev Multiplier (for BB)
SL/Target % levels
Engulf Lookahead range
Minimum BB width to filter signals
🎯 Build it into your strategy, set alerts, or just use it visually to time your entries and exits with clarity.
Qullamaggie [Modified] | FractalystWhat's the purpose of this strategy?
The strategy aims to identify high-probability breakout setups in trending markets, inspired by Kristjan "Qullamaggie" Kullamägi’s approach.
It focuses on capturing explosive price moves after periods of consolidation, using technical criteria like moving averages, breakouts, trailing stop-loss and momentum confirmation.
Ideal for swing traders seeking to ride strong trends while managing risk.
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How does the strategy work?
The strategy follows a systematic process to capture high-momentum breakouts:
Pre-Breakout Criteria:
Prior Price Surge: Identifies stocks that have rallied 30-100%+ in recent month(s), signaling strong underlying momentum (per Qullamaggie’s volatility expansion principles).
Consolidation Phase: Looks for a tightening price range (e.g., flag, pennant, or tight base), indicating a potential "coiling" before continuation.
Trend Confirmation: Uses moving averages (e.g., 20/50/200 EMA) to ensure the stock is trading above key averages on the daily chart, confirming an uptrend.
Price Break: Enters when price clears the consolidation high with conviction.
Risk Management:
Initial Stop Loss: Placed below the consolidation low or a recent swing point to limit downside.
Break-Even Adjustment: Moves stop loss to breakeven once the trade reaches 1.5x risk-to-reward (RR), securing a "free trade" while letting winners run.
Trailing Stop (Unique Edge):
Market Structure Trailing: Instead of trailing via moving averages, the stop is dynamically adjusted using structural invalidation level. This adapts to price action, allowing the trade to stay open during volatile retracements while locking in gains as new structure forms.
Why This Matters: Most strategies use rigid trailing stops (e.g., below the 10EMA), which often exit prematurely in choppy markets. By trailing based on structure, this strategy avoids "noise" and captures larger trends, directly boosting overall returns.
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What markets or timeframes is this suited for?
This is a long-only strategy designed for trending markets, and it performs best in:
Markets: Stocks (especially high-growth, liquid equities), cryptocurrencies (major pairs with strong volatility), commodities (e.g., oil, gold), and futures (index/commodity futures).
Timeframes: Primarily daily charts for swing trades (1-30 day holds), though weekly charts can help confirm broader trends.
Key Advantage: The TradingView script allows instant backtesting with adjustable parameters
You can:
- Test historical performance across multiple markets to identify which assets align best with the strategy.
- Optimize settings (e.g., trailing stop sensitivity, moving averages etc.) to match a market’s volatility profile.
Build a diversified portfolio by filtering for markets that show consistent profitability in backtests.
For example, you might discover cryptos require tighter trailing stops due to volatility, while stocks thrive with wider structural stops. The script automates this analysis, letting you to trade confidently.
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What indicators or tools does the strategy use?
The strategy combines customizable technical tools with strict anti-lookahead safeguards:
Core Indicators:
Moving Averages: Adjustable periods (e.g., 20/50/200 EMA or SMA) and timeframes (daily/weekly) to confirm trend alignment. Users can test combinations (e.g., 10EMA vs. 20EMA) to optimize for specific markets.
Breakout Parameters:
Consolidation Length: Adjustable window to define the "tightness" of the pre-breakout pattern.
Entry Models: Flexible entry logics (Breakouts and fractals)
Anti-Lookahead Design:
All calculations (e.g., moving averages, consolidation ranges, volume averages) use only closed/confirmed data available at the time of the signal.
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How do I manage risk with this strategy?
The strategy prioritizes customizable risk controls to align with your trading style and account size:
User-Defined Risk Inputs:
Risk Per Trade: Set a % of Equity (e.g., 1-2%) to determine position size. The strategy auto-calculates shares/contracts to match your selected risk per trade.
Flexibility: Choose between fixed risk or equity-based scaling.
The script adjusts position sizing dynamically based on your selection.
Pyramiding Feature:
Customizable Entries: Adjust the number of pyramiding trades allowed (e.g., 1-3 additional positions) in the strategy settings. Each new entry is triggered only if the prior trade hits its 1.5x RR target and the trend remains intact.
Risk-Scaled Additions: New positions use profits from prior trades, compounding gains without increasing initial risk.
Risk-Free Trade Mechanic:
Once a trade reaches 1.5x RR, the stop loss is moved to breakeven, eliminating downside risk.
The strategy then opens a new position (if pyramiding is enabled) using a portion of the locked-in profit. This "snowballs" winners while keeping total capital exposure stable.
Impact on Net Profit & Drawdown:
Net Profit Boost: Pyramiding lets you ride multi-leg trends aggressively. For example, a 100% runner could generate 2-3x more profit vs. a single-entry approach.
Controlled Drawdowns: Since new positions are funded by profits (not initial capital), max drawdown stays anchored to your original risk per trade (e.g., 1-2% of account). Even if later entries fail, the breakeven stop on prior trades protects overall equity.
Why This Works: Most strategies either over-leverage (increasing drawdowns) or exit too early. By recycling profits into new positions only after securing risk-free capital, this approach mimics hedge fund "scaling in" tactics while staying retail-trader friendly.
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How does the strategy identify market structure for its trailing stoploss?
The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed.
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What are the underlying calculations?
The underlying calculations involve:
Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it.
Break of Structure (BOS):
Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend.
Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend.
Structural Liquidity and Invalidation:
Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS.
Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend.
This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages.
By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool.
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What entry criteria are used in this script?
The script uses two entry models for trading decisions: BreakOut and Fractal.
Underlying Calculations:
Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade.
Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern.
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What type of stop-loss identification method are used in this strategy?
This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss.
Underlying Calculations:
Initial Stop-loss:
ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction.
Calculation:
- First, the True Range (TR) is calculated for each period, which is the greatest of:
- Current Period High - Current Period Low
- Absolute Value of Current Period High - Previous Period Close
- Absolute Value of Current Period Low - Previous Period Close
- The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility.
Swing Low Based:
For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss.
Trailing Stop-Loss:
The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves:
Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement.
Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably.
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels.
Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns.
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What type of break-even method is used in this strategy? What are the underlying calculations?
Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio.
Calculation:
Break-even level = Entry Price + (Initial Risk * RR Ratio)
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What tables are available in this script?
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more.
Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart.
Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability.
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S.
User-input styles and customizations:
Please note that all background colors in the style are disabled by default to enhance visualization.
How to Use This Strategy to Create a Profitable Edge and Systems?
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 200 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, and net profit with minimum drawdown.
- Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
What Makes This Strategy Unique?
This strategy combines flexibility, smart risk management, and momentum focus in a way that’s rare and practical:
1. Adapts to Any Market Rhythm
Works on daily, weekly, or intraday charts without code changes.
Uses two entry types: classic breakouts (like trending stocks) or fractal patterns (to avoid false starts).
2. Smarter Stop-Loss System
No rigid rules: Stops adjust based on price structure (e.g., new “higher lows”), not fixed percentages.
Avoids whipsaws: Tightens stops only when the trend strengthens, not in choppy markets.
3. Safe Profit-Boosting Pyramiding
Adds new positions only after prior trades are risk-free (stops moved above breakeven).
Scales up using locked-in profits, not new capital, to grow gains safely.
4. Built-In Momentum Check
Tracks 1/3/6-month price growth to spotlight stocks with strong, lasting momentum.
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
ICT IPDA Lookback / Cast-forwardThis script automatically displays 20/40/60 daily range highs and lows.
Known as IPDA ranges, a term popularised by Inner Circle Trader (ICT). IPDA = Interbank Price Delivery Algorithm.
You can also add 80 day lines (my own addition) . IPDA labels are shown for Daily highs, and an equivalent line is drawn at IPDA Daily lows - but without the label to keep your chart as clean as possible. You can use this on hourly timeframes as well.
ICT is "flexible" on IPDA data ranges in his mentorship regarding whether you should use the first day of each month, or go recalculate day by day, and that's why this script lets you do both + also has an option to set a hard specified date - useful for more advanced purposes.
You can also Cast-forward the displayed 20/40/60 (+80) IPDA ranges with this tool.
You can use IPDA ranges to forecast Highs and Lows that price will be attracted to on a Daily timeframe and where price is in its P/D range, being in a discount or premium. You can also use this knowledge to help guide lower timeframe scalps.
Longer term traders can reference the 40 and 60 Day Look Back lines for an indication of current market conditions.
