Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]Strategy Overview
This is an experimental trend-following strategy combining directional movement indicators, momentum filters, and time-based exits. Built for low timeframes like BTCUSDT 5m, it aims to detect clean directional setups while managing risk tightly.
Indicator Components
• DI+/DI- + ADX – Confirms trend direction and strength
• RSI (14) – Momentum filter (entries only if RSI > 55 or < 45)
• MACD Histogram – Confirms momentum shift in signal direction
• Candle Body % Filter – Screens for strong price commitment bars
• EMA 600 & EMA 2400 – Defines long-term trend alignment
• Time-Based Stop – Closes trade if it doesn’t move 0.75% in 85 bars
• Reward:Risk – 1% stop-loss, 7.5:1 reward-to-risk
• One Trade per EMA Cross – Only trades first valid signal per trend shift
Entry Logic
Long Entry:
• DI+ crosses above DI−
• RSI > 55
• MACD histogram > 0
• Strong bullish candle
• EMA600 > EMA2400
• Occurs within 25 bars of an EMA crossover
Short Entry:
• DI+ crosses below DI−
• RSI < 45
• MACD histogram < 0
• Strong bearish candle
• EMA2400 > EMA600
• Occurs within 25 bars of an EMA crossover
Exit Logic
• Stop-loss: 1% from entry
• Take-profit: 7.5x risk
• Time-stop: Trade closed if price doesn’t move 0.75% in 85 bars
Testing Parameters
• Initial Capital: $10,000
• Commission: 0.04% per trade
• Timeframe: 5-minute
• Tested on: BTCUSDT
• ⚠️ Early-stage strategy — trade count may be low depending on market context. This is shared for educational use and community feedback.
Notes
• This script is experimental and educational
• Please forward-test in a demo environment before using it live
• Open-source for learning and improvement — contributions welcome!
Trend
Candle close on high time frameOVERVIEW
This indicator plots persistent closing levels of higher time frame candles (H1, H4, and Daily) on the active intraday chart in real time. Unlike similar tools, it offers granular control over line projection length, fully independent toggles per timeframe, and a built-in mechanism that automatically limits the total number of historical levels to avoid chart clutter and performance issues.
CONCEPTS
Key levels from higher time frames often act as areas where price reacts or consolidates. By projecting each candle's exact closing price forward as a horizontal reference, traders can quickly identify dynamic support and resistance zones relevant to the current price action. This indicator enables seamless multi-timeframe analysis without the need to manually switch chart intervals or re-draw lines.
FEATURES
Independent Time Frame Selection: Enable or disable H1, H4, and Daily levels individually to tailor the analysis.
Custom Extension Length: Each timeframe's closing level can be projected forward for a user-defined number of bars.
Performance Optimization: The script maintains an internal limit (default: 100) on the number of active lines. When this threshold is exceeded, the oldest lines are removed automatically.
Visual Differentiation: Colors for each timeframe are fully customizable, enabling immediate recognition of level origin.
Immediate Update: New levels appear as soon as a higher timeframe candle closes, ensuring real-time reference.
USAGE
From the indicator inputs, select which timeframes you want to track.
Adjust the extension lengths to fit your trading style and time horizon.
Customize the line colors for clarity and personal preference.
Use these projected levels as part of your confluence criteria for entries, exits, or stop placement.
Combine with trend indicators or price action tools to enhance your multi-timeframe strategy.
ORIGINALITY AND ADDED VALUE
While similar scripts exist that plot higher timeframe levels, this implementation differs in:
Its efficient automatic cleanup of old lines to preserve chart performance.
The independent extension and color settings per timeframe.
Immediate reaction to new candle closes without repainting.
Simplicity of use combined with precise customization.
This combination makes it a practical and flexible tool for traders who rely on clear HTF level visualization without manual drawing or the limitations of built-in TradingView tools.
LICENSE
This script is published open-source under the Mozilla Public License 2.0.
RAA Buy Sell[RanaAlgo]Overview
The RAA (RanaAlgo Adaptive Average) Buy Sell indicator is a trend-following tool that helps identify potential buy and sell signals based on price deviation from an adaptive moving average. It uses a combination of:
(Fractal Adaptive Moving Average) – Adjusts its sensitivity based on market volatility.
RAA Bands – Dynamic upper/lower bands calculated using a multiplier applied to the average deviation.
🔹 Key Features
Trend Identification
Bullish Trend →
Bearish Trend →
Signal Generation
Visual Enhancements
Colored candles (green for bullish, red for bearish).
Dynamic bands to visualize trend strength.
Alerts
Customizable buy/sell alerts for real-time notifications.
🔹 Usefulness in Trading
✅ Trend Confirmation – Helps confirm trend direction before entering trades.
✅ Reduces False Signals – Uses adaptive bands to filter out noise.
✅ Works Across Timeframes – Effective on intraday, swing, and long-term trading.
✅ Customizable – Adjustable length and multiplier for different market conditions.
🔹 Best Used For
Trend-following strategies (riding strong trends).
Breakout trading (entering when price confirms momentum).
Avoiding choppy markets (since the adaptive bands widen in volatility).
Kase Convergence Divergence [BackQuant]Kase Convergence Divergence
The Kase Convergence Divergence is a sophisticated oscillator designed to measure directional market strength through the lens of volatility-adjusted log return structures. Inspired by Cynthia Kase’s work on statistical momentum and price projection ranges, this unique indicator offers a hybrid framework that merges signal processing, multi-length sweep logic, and adaptive smoothing techniques.
Unlike traditional momentum oscillators like MACD or RSI, which rely on static moving average differences, KCD introduces a dual-process system combining:
Kase-style statistical range projection (via log returns and volatility),
A sweeping loop of lookback lengths for robustness,
First and second derivative modes to capture both velocity and acceleration of price movement.
Core Logic & Computation
The KCD calculation is centered on two volatility-normalized transforms:
KSDI Up: Measures how far the current high has moved relative to a past low, normalized by return volatility.
KSDI Down: Measures how far the current low has moved relative to a past high, also normalized.
For every length in a user-defined sweep range (e.g., 25–35), both KSDI_up and KSDI_dn are computed, and their maximum values across the loop are retained. The difference between these two max values produces the raw signal:
KPO (Kase Projection Oscillator): Measures directional skew.
KCD (Kase Convergence Divergence): Defined as KPO – MA(KPO) — similar in spirit to MACD but structurally different.
Users can choose to visualize either the first derivative (KPO) , or the second derivative (KCD) , depending on market conditions or strategy style.
Key Features
✅ Multi-Length Sweep Logic: Improves signal reliability by aggregating statistical range projections across a set of lookbacks.
✅ Advanced Smoothing Modes: Supports DEMA, HMA, TEMA, LINREG, WMA and more for dynamic adaptation.
✅ Dual Derivative Modes: Choose between speed (first derivative) or smoothness (second derivative) to fit your trading regime.
✅ Color-Encoded Signal Bands: Heatmap-style oscillator coloring enhances visual feedback on trend strength.
✅ Candlestick Painting: Optional bar coloring makes it easy to spot trend shifts on the main chart.
✅ Adaptive Fill Zones: Green and red fills between the oscillator and zero line help distinguish bullish and bearish regimes at a glance.
Practical Applications
📈 Trend Confirmation: Use KCD as a secondary confirmation layer after breakout or pullback entries.
📉 Momentum Shifts: Crossover and crossunder of the zero line highlight potential regime changes.
📊 Strategy Filters: Incorporate into algos to avoid trendless or mean-reverting environments.
🧪 Derivative Switching: Flip between KPO and KCD modes depending on whether you want to measure acceleration or deceleration of price flow.
Alerts & Signals
Two built-in alerts help you catch regime shifts in real time:
Long Signal: Triggered when the selected oscillator crosses above zero.
Short Signal: Triggered when it crosses below zero.
These events can be used to generate entries, exits, or trend validation cues in multi-layer systems.
Conclusion
The Kase Convergence Divergence goes beyond traditional oscillators by offering a volatility-normalized, derivative-aware signal engine with enhanced visual dynamics. Its sweeping architecture and dynamic fill logic make it especially powerful for identifying trending environments, filtering chop, and adding statistical rigor to your trading toolkit.
Whether you’re a discretionary trader seeking precision, or a quant looking to model more robust return structures, KCD offers a creative yet analytically grounded solution.
Golden Ratio Trend Persistence [EWT]Golden Ratio Trend Persistence
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Overview
The Golden Ratio Trend Persistence is a dynamic tool designed to identify the strength and persistence of market trends. It operates on a simple yet powerful premise: a trend is likely to continue as long as it doesn't retrace beyond the key Fibonacci golden ratio of 61.8%.
This indicator automatically identifies the most significant swing high or low and plots a single, dynamic line representing the 61.8% retracement level of the current move. This line acts as a "line in the sand" for the prevailing trend. The background color also changes to provide an immediate visual cue of the current market direction.
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The Power of the Golden Ratio (61.8%)
The golden ratio (ϕ≈1.618) and its inverse (0.618, or 61.8%) are fundamental mathematical constants that appear throughout nature, art, and science, often representing harmony and structure. In financial markets, this ratio is a cornerstone of Fibonacci analysis and is considered one of the most critical levels for price retracements.
Market movements are not linear; they progress in waves of impulse and correction. The 61.8% level often acts as the ultimate point of support or resistance. A trend that can hold this level demonstrates underlying strength and is likely to persist. A breach of this level, however, suggests a fundamental shift in market sentiment and a potential reversal.
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How to Use This Indicator
This indicator is designed for clarity and ease of use.
Identifying the Trend : The visual cues make the current trend instantly recognizable.
A teal line with a teal background signifies a bullish trend. The line acts as dynamic support.
A maroon line with a maroon background signifies a bearish trend. The line acts as dynamic resistance.
Confirming Trend Persistence : As long as the price respects the plotted level, the trend is considered intact.
In an uptrend, prices should remain above the teal line. The indicator will automatically adjust its anchor to new, higher lows, causing the support line to trail the price.
In a downtrend, prices should remain below the maroon line.
Spotting Trend Reversals : The primary signal is a trend reversal, which occurs when the price closes decisively beyond the plotted level.
Potential Sell Signal : When the price closes below the teal support line, it indicates that buying pressure has failed, and the uptrend is likely over.
Potential Buy Signal : When the price closes above the maroon resistance line, it indicates that selling pressure has subsided, and a new uptrend may be starting.
Think of this tool as an intelligent, adaptive trailing stop that is based on market structure and the time-tested principles of Fibonacci analysis.
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Input Parameters
You can customize the indicator's sensitivity through the following inputs in the settings menu:
Pivot Lookback Left : This number defines how many bars to the left of a candle must be lower (for a pivot high) or higher (for a pivot low) to identify a potential swing point. A higher value will result in fewer, but more significant, pivots being detected.
Pivot Lookback Right : This defines the number of bars that must close to the right before a swing point is confirmed. This parameter prevents the indicator from repainting. A higher value increases confirmation strength but also adds a slight lag.
Fibonacci Ratio : While the default is the golden ratio (0.618), you can adjust this to other key Fibonacci levels, such as 0.5 (50%) or 0.382 (38.2%), to test for different levels of trend persistence.
Adjusting these parameters allows you to fine-tune the indicator for different assets, timeframes, and trading styles, from short-term scalping to long-term trend following.
Market Entropy Strategy V2.5This strategy is an updated version of a market entropy-based trading system. It removes EMA dependencies and introduces two indicators:
1. **Volatility Momentum Index (VMI)**: Measures volatility acceleration for timing entries (from calm to active phases) and exits (at peak chaos).
2. **Volume-Weighted Price Center (VWPC)**: A volume-weighted trend filter using typical price to determine overall market direction.
The strategy enters trades on transitions from low volatility ("calm") to increasing activity, filtered by trend direction. Exits occur when volatility reaches a high "chaos" threshold. It supports long, short, or both directions, with configurable parameters for optimization.
Backtest results depend on market conditions; use with caution and combine with your own analysis. No guarantees of performance.
[GalihRidha] Scalping Dashboard 5m Scalping Dashboard 5m is a practical, real-time, and user-friendly indicator designed for 5-minute intraday scalping strategies. This indicator provides clear, actionable signals along with dynamic risk management levels, all visualized in a single vertical dashboard on your chart.
Key Features:
Actionable Next Signal:
Generates a strong, easy-to-follow trading signal ("LONG" or "SHORT") every 5 minutes, based on a multi-factor algorithm (MA20/MA50 trend, RSI, price/volume strength, candle momentum, and market structure).
Dynamic TP/SL Calculation:
Automatically displays recommended Take Profit (TP) and Stop Loss (SL) price ranges, calculated from recent price action, support/resistance, and volatility (ATR).
Vertical Dashboard Layout:
Information is neatly split between "LAST SECTION" (your most recent executed signal, TP, and SL) and "NEXT SECTION" (real-time signal, recommended TP/SL, and current price). Perfectly formatted for both desktop and mobile TradingView use.
Live "Capturing" Status:
When a new signal is forming (1 minute before candle close), the dashboard shows an animated "Capturing..." status—so you always know when the indicator is preparing the next actionable trade.
Buffered Signal Logic:
Prevents “signal repainting” by ensuring that your "Last Signal" and TP/SL levels are exactly what was shown in the previous Next Signal, never the recalculated value from a new bar. This is vital for honest backtesting and live trade confidence.
Zero Lag, Mobile Ready:
Designed to be lightweight and responsive, with instant dashboard updates and no visual lag—even on slower connections or when switching timeframes.
No repaint, no lagging, pure price action + volatility logic.
How to Use:
Add to Chart
Apply the indicator to any liquid crypto or forex pair on the 5-minute (5m) timeframe.
Watch the Dashboard
1 minute before the close of each 5-minute candle, the "Next Signal" section will activate.
"Capturing..." status (with animated dots) means a new entry signal is forming.
Use the suggested Entry, TP Range, and SL for your scalping strategy.
Follow the Signal
When "Next Signal" appears, you have 1 minute to enter the trade if desired.
After the signal passes, the values are locked into the "Last Section" for reference, record-keeping, or trade management.
Mobile Friendly
The vertical format ensures the dashboard is always visible and readable on both web and mobile versions of TradingView.
No need to manually refresh or guess when a new signal is forming—just watch for "Capturing..."!
Best Practice & Tips:
For best results, use on trending or high-volume assets. Avoid low liquidity or choppy sideways markets.
Combine with your own risk management and execution strategy for maximum performance.
This dashboard is 100% Pine Script v5, fully open-source, and does not repaint. You can customize TP/SL logic or integrate with alerts for even more automation.
Why This Indicator?
Most scalping indicators provide signals, but don't show you the real, actionable context—especially in mobile or fast-moving markets.
This dashboard solves that problem by giving you everything you need for quick, clear, and confident trading—all in one place, with true buffer logic so your entries and results are always honest and reproducible.
Happy scalping and stay disciplined—let the dashboard do the heavy lifting for you! 🚀
Regression Channel ExtendedBasic regression channel
Tested on QQQ 5 min interval
Edit fixedDeviationAmount based on ticker
Adaptive Causal Wavelet Trend FilterThe Adaptive Causal Wavelet Trend Filter is a technical indicator implementing causal approximations of wavelet transform properties for better trend detection with adaptive volatility response.
The Adaptive Causal Wavelet Trend Filter (ACWTF) applies mathematical principles derived from wavelet analysis to financial time series, providing robust trend identification with minimal lag. Unlike conventional moving averages, it preserves significant price movements while filtering market noise through signal processing that i describe below.
I was inspired to build this indicator after reading " Wavelet-Based Trend Identification in Financial Time Series " by In, F., & Kim, S. 2013 and reading about Mexican Hat wavelet filters.
The ACWTF maintains optimal performance across varying market regimes without requiring parameter adjustments by adapting filter characteristics to current volatility conditions.
Mathematical Foundation
Inspired by the Mexican Hat wavelet (Ricker wavelet), this indicator implements causal approximations of wavelet filters optimized for real-time financial analysis. The multi-resolution approach identifies features at different scales and the adaptive component dynamically adjusts filtering characteristics based on local volatility measurements.
Key mathematical properties include:
Non-linear frequency response adaptation
Edge-preserving signal extraction
Scale-space analysis through dual filter implementation
Volatility-dependent coefficient adjustment, which I love
Filter Methods
Adaptive: Implements a volatility-weighted combination of multiple filter types to optimize the time-frequency resolution trade-off
Hull: Provides a causal approximation of wavelet edge detection properties with forward-projection characteristics
VWMA: Incorporates volume information into the filtering process for enhanced signal detection
EMA Cascade: Creates a multi-pole filter structure that approximates certain wavelet scaling properties
Suggestion: try all as they will provide slightly different signals. Try also different time-frames.
Practical Applications
Trend Direction Identification: Clear visual trend direction with reduced noise and lag
Regime Change Detection: Early identification of significant trend reversals
Market Condition Analysis: Integrated volatility metrics provide context for current market behavior
Multi-timeframe Confirmation: Alignment between primary and secondary filters offers additional confirmation
Entry/Exit Timing: Filter crossovers and trend changes provide potential trading signals
The comprehensive information panel provides:
Current filter method and trend state
Trend alignment between timeframes
Real-time volatility assessment
Price position relative to filter
Overall trading bias based on multiple factors
Implementation Notes
Log returns option provides improved statistical properties for financial time series
Primary and secondary filter lengths can be adjusted to optimize for specific instruments and timeframes
The indicator performs particularly well during trend transitions and regime changes
The indicator reduces the need for using additional indicators to check trend reversion
Volume MAs Oscillator | Lyro RSVolume MAs Oscillator | Lyro RS
Overview
The Volume MAs Oscillator is a powerful volume‑adjusted momentum tool that combines custom‑weighted moving averages on volume‑weighted price with smoothed deviation bands. It offers dynamic insights into trend direction, overbought/oversold conditions, and relative valuation — all within a single indicator
Key Features
Volume‑Adjusted Moving Averages: Moving averages can be volume‑weighted using the following formula: a moving average of (Price × Volume) divided by a moving average of Volume. This formula is applied across more than 14 different moving averages; however, it is not used with the VWMA, as VWMA is inherently a volume-weighted moving average.
Percentage Oscillator: Displays the normalized difference: (source – MA) / MA * 100, centered around zero for easy interpretation of strength and direction.
Deviation Bands: Builds upper and lower bands from standard deviation of the oscillator over a selected lookback, with distinct positive/negative multipliers and optional smoothing to reduce noise.
Inputs: Band Length, Band Smoothing, Positive Band Multiplier, Negative Band Multiplier.
Multi‑Mode Signal System:
1. Trend Mode – Colors oscillator according to breaks above (bullish) or below (bearish) respective bands.
2. Reversion Mode – Inverses color logic: signals overextensions beyond bands as reversion opportunities, greys inside the bands.
3. Valuation Mode – Applies a gradient color scale (UpC ⇄ DnC) to reflect relative valuation strength.
Customizable Visuals: Select from 5 pre‑set palettes—Classic, Mystic, Major Themes, Accented, Royal—or define your own custom bullish/bearish colors.
Chart enhancements include color‑coded oscillator line, deviation bands, glow‑effect midline at zero, background shading and candlestick/bar coloring aligned to signal mode.
Built‑In Signals: Automatically plots ▲ oversold and ▼ overbought markers upon crosses of lower/upper bands (in trend or reversion modes), enhancing signal clarity.
How It Works
MA Calculation – Applies the selected MA type to price × volume (normalized by MA of volume) or direct VWMA.
Oscillator Output – Calculates the % difference of source vs. derived MA.
Band Construction – Computes rolling standard deviation; applies user‑defined multipliers; smooths bands with exponential blending.
Mode-Dependent Coloring & Signals –
• Trend: Highlights strength trends via band cross coloring.
• Reversion: Flags extremes beyond bands as potential pullbacks.
• Valuation: Uses gradient to reflect oscillator’s position relative to recent range.
Signal Markers – Deploys arrows and color rules to flag overbought (▼) or oversold (▲) conditions when bands are breached.
Practical Use
Trend Confirmation – In Trend Mode, use upward price_diff cross above upper band as bullish; downward cross below lower band as bearish.
Mean Reversion – In Reversion Mode, fading extremes beyond bands may precede a retracement.
Relative Valuation – Valuation Mode shines when assessing how extended price_diff is, with gradient colors indicating valuation zones.
Bars/candles color‑coded to oscillator state boosts clarity of market tone and allows for rapid visual scanning.
Customization
Adjust MA type/length to tune responsiveness vs. smoothing.
Configure band settings for volatility sensitivity.
Toggle between signal modes for trend-following or reversion strategies.
Stylish visuals: pick or customize color schemes to match your chart setup.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
TrendBoxThis indicator is called "TrendBox," designed to help traders analyze daily price ranges using several technical indicators. Below is a breakdown of its functionality, purpose, and key components:
Purpose
The script overlays indicators on a chart to assess whether the price is above or below key levels and moving in a trend.
VIX-based expected range (index fund targeted)
- This helps calculate the expected dealers range based on VIX implications. You can expect to see ranges be bought on and sold on. Moving outside this range creates heightened volatility and most of the time a gamma squeeze follows.
VWAP (Volume Weighted Average Price)
- This allows you to understand the mid point or average pricing of the daily session. If you're paying a premium or getting a discount on the daily session.
Daily Market Open
- Identifying the market open price is a key level on a daily session and allows you to identify some level of intraday trend.
Daily 4-period VWMA
- This is a crucial role of our indicator and showing short term time frame bias. Seeing price move over the top of our daily 4 level establishes a short term trend and can be used as a distribution guide, closing positions when we see longer time frame candles close under it. Vice versa for shorting.
It also displays a status box (optional) summarizing whether the price is above or below these levels, helping traders quickly evaluate market conditions.
Market Shift Levels [ChartPrime]Market Shift Levels
This indicator detects trend shifts and visualizes key market structure turning points using Hull Moving Average logic. It highlights potential areas of support and resistance where price is likely to react, empowering traders to spot early trend transitions.
Market Shift Levels are horizontal zones that mark the moment of a directional change in market behavior. These shifts are based on crossovers between two smoothed Hull Moving Averages (HMA), allowing the indicator to detect potential reversals with minimal lag.
Once a shift is detected:
A dashed horizontal Market Shift Level is plotted at the low (for bullish shift) or high (for bearish shift) of the candle.
These levels often become key reaction points during pullbacks and trend retests.
Volume or price labels are added when price wicks into these levels, helping traders gauge the strength of rejection or acceptance.
⯁ KEY FEATURES
Uses HMA-based logic to detect when price momentum shifts.
Plots clean Market Shift Levels (MSLs) that act as dynamic support and resistance.
Automatically colors bars and candles based on the price positioning relative to levels.
Labels wick-based retests with either:
Volume data of the 3-bar cluster (default).
Price level if toggled.
⯁ HOW TO USE
Look for trend shifts where the HMA crossover triggers a new level — this marks a possible structural pivot .
Use the horizontal level as a dynamic support or resistance zone — especially when price returns with wick rejections.
Watch for volume labels near the level — higher values signal stronger rejection and potential continuation.
Combine with confluence tools like Smart Money concepts or Fibonacci levels for added edge.
⯁ EXAMPLE SETUPS
After a bullish shift, wait for price to return and wick into the level — if volume spikes and candle closes strong, it’s a retest confirmation entry .
After a bearish shift, bearish wick rejections with volume may signal short re-entry zones .
⯁ CONCLUSION
The Market Shift Levels indicator offers a visual and data-backed approach to spotting trend reversals and critical retest zones. It’s a simple yet powerful tool to structure your trades around objective, repeatable market behavior — all in real-time.
Step Channel Momentum Trend [ChartPrime]OVERVIEW
Step Channel Momentum Trend is a momentum-based price filtering system that adapts to market structure using pivot levels and ATR volatility. It builds a dynamic channel around a stepwise midline derived from swing highs and lows. The system colors price candles based on whether price remains inside this channel (low momentum) or breaks out (strong directional flow). This allows traders to clearly distinguish ranging conditions from trending ones and take action accordingly.
⯁ STRUCTURAL MIDLNE (STEP CHANNEL CORE)
The midline acts as the backbone of the trend system and is based on structure rather than smoothing.
Calculated as the average of the most recent confirmed Pivot High and Pivot Low.
The result is a step-like horizontal line that only updates when new pivot points are confirmed.
This design avoids lag and makes the line "snap" to recent structural shifts.
It reflects the equilibrium level between recent bullish and bearish control.
This unique step logic creates clear regime shifts and prevents noise from distorting trend interpretation.
⯁ DYNAMIC VOLATILITY BANDS (ATR FILTERING)
To detect momentum strength, the script constructs upper and lower bands using the ATR (Average True Range):
The distance from the midline is determined by ATR × multiplier (default: 200-period ATR × 0.6).
These bands adjust dynamically to volatility, expanding in high-ATR environments and contracting in calm markets.
The area between upper and lower bands represents a neutral or ranging market state.
Breakouts outside the bands are treated as significant momentum shifts.
This filtering approach ensures that only meaningful breakouts are visually emphasized — not every candle fluctuation.
⯁ MOMENTUM-BASED CANDLE COLORING
The system visually transforms price candles into momentum indicators:
When price (hl2) is above the upper band, candles are green → bullish momentum.
When price is below the lower band, candles are red → bearish momentum.
When price is between the bands, candles are orange → low or no momentum (range).
The candle body, wick, and border are all colored uniformly for visual clarity.
This gives traders instant feedback on when momentum is expanding or fading — ideal for breakout, pullback, or trend-following strategies.
⯁ PIVOT-BASED SWING ANCHORS
Each confirmed pivot is plotted as a label ⬥ directly on the chart:
They also serve as potential manual entry zones, SL/TP anchors, or confirmation points.
⯁ MOMENTUM STATE LABEL
To reinforce the current market mode, a live label is displayed at the most recent candle:
Displays either:
“ Momentum Up ” when price breaks above the upper band.
“ Momentum Down ” when price breaks below the lower band.
“ Range ” when price remains between the bands.
Label color matches the candle color for quick identification.
Automatically updates on each bar close.
This helps discretionary traders filter trades based on market phase.
USAGE
Use the green/red zones to enter with momentum and ride trending moves.
Use the orange zone to stay out or fade ranges.
The step midline can act as a breakout base, pullback anchor, or bias reference.
Combine with other indicators (e.g., order blocks, divergences, or volume) to build high-confluence systems.
CONCLUSION
Step Channel Momentum Trend gives traders a clean, adaptive framework for identifying trend direction, volatility-based breakouts, and ranging environments — all from structural logic and ATR responsiveness. Its stepwise midline provides clarity, while its dynamic color-coded candles make momentum shifts impossible to miss. Whether you’re scalping intraday momentum or managing swing entries, this tool helps you trade with the market’s rhythm — not against it.
RMSE Bollinger Bands + Loop | Lyro RSRMSE Bollinger Bands + Loops
Overview
The RMSE Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with statistical measures. This indicator employs a multi-model approach, integrating Bollinger-style RMSE bands, momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions.
Indicator Modes
Bollinger-style RMSE Bands: this mode calculates dynamic volatility bands around the price using the following formula:
Upper Band = Dynamic Moving Average + (RMSE × Multiplier)
Lower Band = Dynamic Moving Average - (RMSE × Multiplier)
These bands adjust to market volatility, helping identify potential breakout or breakdown points.
For-Loop Momentum Scoring, momentum is assessed by analyzing recent price behavior through a looping mechanism. A rising momentum score indicates increasing bullish strength, while a declining score suggests growing bearish momentum.
Hybrid Combined Signal: this mode assigns a directional score to the other two modes:
+1 for bullish (green)
–1 for bearish (red)
An average of these scores is computed to generate a combined signal, offering a consolidated market trend indication.
Practical Application
Signal Interpretation: A buy signal is generated when both the RMSE Bands and For-Loop Momentum Scoring align bullishly. Conversely, a sell signal is indicated when both are bearish.
Trend Confirmation: The Hybrid Combined Signal provides a consolidated view, assisting traders in confirming the prevailing market trend.
Note: Always consider additional technical analysis tools and risk management strategies when making trading decisions.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
cd_cisd_market_CxHi Traders,
Overview:
Many traders follow market structure to identify the market direction and seek trade opportunities in line with the trend.
However, markings derived from user-defined inputs can create different structures, depending on personal choices. For instance, choosing a pivot distance of 3 instead of 2 alters the structure, even though the chart remains the same. Ideally, the structure should remain consistent.
"Change in State Delivery" ( CISD ) is a widely accepted concept among traders and is considered a significant indicator of market direction based on the gain/loss of CISD levels.
In this indicator, CISD is selected as the primary criterion for marking market structure, eliminating the influence of user-dependent variations.
Here is a summary of the key logic and rules applied:
• When the price forms a new high/low, that level is only considered a pivot if a CISD has occurred.
• A bullish CISD is always followed by a bearish CISD, and vice versa.
• Pivot points form the internal structure.
• The internal structure is used to interpret the swing structure.
• Probabilities are derived from internal structure patterns.
________________________________________
Details:
How is CISD determined?
As is commonly known:
• When price makes a new high, the opening level of the first candle in the consecutive bullish candle sequence is marked.
• When price makes a new low, the opening of the first candle in the consecutive bearish sequence is marked.
• If there’s only one candle in the sequence, its opening level is used.
In a bullish market, losing a bearish CISD level (i.e., a close below it) or in a bearish market, gaining a bullish CISD level (i.e., a close above it) is interpreted as a potential shift in buyer-seller dominance and a possible market reversal.
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How are internal (pivot) levels determined?
• When price closes below a bearish CISD level, the highest candle's high becomes a pivot high (PH).
• When price closes above a bullish CISD level, the lowest candle's low becomes a pivot low (PL).
• If the new PH is above the previous PH, it’s labeled as HH (Higher High); otherwise, LH (Lower High).
• If the new PL is below the previous PL, it’s labeled as LL (Lower Low); otherwise, HL (Higher Low).
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Internal Market Structure:
• A series of HHs indicates a bullish internal structure.
• A series of LLs indicates a bearish internal structure.
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Swing (Main) Market Structure:
Using internal pivots and previous swing levels, the main market structure is derived.
• A new swing high (SH) requires the price to move above the previous SH.
• A new swing low (SL) requires the price to move below the previous SL.
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Probability Calculation:
Pivot levels forming the internal structure are coded as five-element sequences.
There are 64 possible combinations of such sequences made from consecutive PH and PL values.
Each pattern’s frequency from its starting candle is tracked.
To make it more understandable:
For example, after the four-sequence “HH, LL, LH,HL”, either HH or LH might follow.
The table shows the statistical likelihood of both possible outcomes for the most recent four-element sequence on the chart.
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How reliable is it?
To assess reliability, results are calculated from the beginning using:
Success Rate (Suc. Rt) = Number of Correct Predictions / Total Predictions
This value is added to the table for reference.
It’s important to note that no statistical outcome guarantees certainty—every result offers a different interpretation. What truly matters is to avoid getting stopped out 😊.
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Menu Options:
Show/hide preferences and color selections can be customized via the indicator menu.
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What’s Coming in Future Versions?
Features such as FVG (Fair Value Gaps) between swing levels, volume imbalances, order blocks / mitigation blocks, Fibonacci levels, and relevant trade suggestions will be added.
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This is a BETA version that I believe will help simplify your market reading. I’d be happy to hear your feedback and suggestions.
Cheerful Trading!
Trend Blend
Trend blend is my new indicator. I use it to identify my bias when trading and filter out fake setups that are going in the wrong direction.
Trend blend utilises the 9 EMA (Red), 21 EMA (Black), and if you trade futures or Bitcoin, you can also use the VWAP (Blue).
There is also a table at the top right that displays the chart time frame bias
I prefer to use the 1-hour time frame for bias and execute the trades on 5-minute charts, mainly, and sometimes on the 1-minute for a smaller stoploss.
Here's an example of the trade I took during the London session on XAU/USD
1 hour bias was Bearish
Price broke out of the range
I waited for the London session to open, where I ended up taking a short on the 5-minute time frame as we broke out of the pre-London range
Entry was at the Fair Value Gap (5-minute bias was also Bearish as price traded into the FVG)
Stoploss was at the last high
Take Profit was the next major support level
Another set that I like to trade with the Trend blend is when price is trending bullish and price trades inside the 9 and 21 EMA, and there is a bullish candle closer above the 9 EMA with Stoploss below the low of the bullish candle and Take profit between 1-2 Risk to Reward
Same when there's a bearish trend, I wait for price to trade inside the 9 and 21 EMA, and I'll take sells when a bearish candle closes below the 9 EMA.
This setup works best in strong trends, or it can be used to enter a trade on a pullback or to scale into an existing trade.
Consolidation Zones[RanaAlgo]Overview
This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements.
How It Works
Detects Consolidation Zones
Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase .
When ADX is below the threshold , the indicator marks the start of a consolidation zone.
Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form.
Tracks Breakouts
When price breaks above/below the consolidation box, it signals a potential trend continuation.
Displays breakout arrows/labels (configurable shape & style) when price exits the range.
Visual Features
Boxes highlight consolidation areas (customizable color, border, and style).
Labels show real-time status ("CONSOLIDATING" or "TRENDING").
Breakout signals appear as arrows or shapes (up/down).
Usefulness in Trading
Range Trading: Helps traders identify sideways markets for buying low and selling high.
Breakout Trading: Signals potential trend entries when price exits consolidation.
Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start.
Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
RSI Buy Sell Signals+ with MFI Cloud [RanaAlgo]Indicator Overview
This indicator combines RSI (Relative Strength Index) with MFI (Money Flow Index) to generate trading signals with additional confirmation filters. The key features include:
RSI Analysis (14-period) with overbought/oversold levels
MFI Cloud (20-period default) showing trend direction via EMAs
Enhanced Signal Generation with volume and trend confirmation options
Visual Elements including colored zones, signal labels, and an information panel
How to Use This Indicator
Basic Interpretation:
Buy Signals (green labels) appear when:
RSI crosses above oversold level (30) OR
RSI shows a rising pattern from oversold zone with volume/trend confirmation (if enabled)
Sell Signals (red labels) appear when:
RSI crosses below overbought level (70) OR
RSI shows a falling pattern from overbought zone with volume/trend confirmation (if enabled)
MFI Cloud provides trend confirmation:
Green cloud = bullish trend (fast EMA > slow EMA)
Red cloud = bearish trend (fast EMA < slow EMA)
Recommended Usage:
For Conservative Trading:
Enable both volume and trend confirmation
Require MFI cloud to align with signal direction
Wait for RSI to clearly exit overbought/oversold zones
For Active Trading:
Combine with price action at key support/resistance levels
Watch for divergence between price and RSI
The Information Panel (top-right) shows:
Current RSI value and status
MFI trend direction
Last generated signal
Current momentum
Customization Options:
Adjust RSI/MFI lengths for sensitivity
Modify overbought/oversold levels
Toggle volume/trend confirmation requirements
Adjust visual elements like cloud opacity and zone visibility
MACD Support and Resistance [ChartPrime]⯁ OVERVIEW
MACD Support and Resistance is a dynamic support/resistance mapping tool powered by MACD crossover logic. Each time the MACD line crosses the signal line, the indicator scans for recent price extremes and locks them in as potential support or resistance zones. These levels are automatically cleaned up if price breaks them, keeping the chart focused on active market structure. The system includes a built-in MACD display with visual markers, along with contextual highs and lows to help define the current environment.
⯁ MACD-BASED SUPPORT/RESISTANCE GENERATION
The core logic uses the MACD oscillator crossover as a trigger event to generate structural levels:
When MACD crosses above its signal line:
→ The script scans the last 5 bars for the lowest low .
→ A support level is plotted at that price.
When MACD crosses below its signal line:
→ The script scans the last 5 bars for the highest high .
→ A resistance level is plotted at that price.
These dynamic levels reflect where price recently reversed or paused, making them prime zones for reaction, continuation, or invalidation.
⯁ LEVEL MANAGEMENT AND VALIDATION
To keep the chart clean and relevant:
A maximum of 20 active levels are allowed at once.
Older levels are automatically removed if the list exceeds the limit.
If price closes below a support level or above a resistance level , the corresponding line is deleted.
This ensures that only currently respected levels remain on the chart — a major advantage for active traders.
⯁ MACD VISUALIZATION + SIGNAL MARKERS
A full MACD system is rendered on the lower panel for visual confirmation:
The MACD line and Signal line are both plotted and color-coded dynamically.
A filled area] highlights the spread between them to emphasize momentum strength.
A diamond marker is drawn each time MACD crosses its signal line, alerting traders to potential trend shifts.
These visuals make it easy to understand the timing of the support/resistance updates.
⯁ LOCAL EXTREME REFERENCE LINES
To help contextualize current price position relative to recent market extremes:
A Local High line is plotted based on the highest MACD value over the past 100 bars].
A Local Low line is plotted based on the lowest MACD value over the past 100 bars].
These levels are rendered lightly and serve as dynamic range boundaries.
They assist traders in identifying overextended or compressed MACD behavior.
⯁ USAGE
Use the generated S/R levels as breakout or reversal zones.
Watch for MACD diamond markers to confirm the timing of new levels.
Combine these reactive zones with other ChartPrime confluence tools for higher-confidence entries.
Use the Local High/Low zones as a volatility envelope to guide risk and trend continuation potential.
⯁ CONCLUSION
MACD Support and Resistance takes a classic momentum indicator and adds real-time structural awareness. By linking MACD crossover events to recent price extremes, it identifies the zones where market sentiment shifted — and continues to monitor their strength. Whether you're a breakout trader or looking to fade key reaction points, this tool delivers clean, actionable levels based on momentum and structure — not guesswork.
ATR RopeATR Rope is inspired by DonovanWall's "Range Filter". It implements a similar concept of filtering out smaller market movements and adjusting only for larger moves. In addition, this indicator goes one step deeper by producing actionable zones to determine market state. (Trend vs. Consolidation)
> Background
When reading up on the Range Filter indicator, it reminded me exactly of a Rope stabilization drawing tool in a program I use frequently. Rope stabilization essentially attaches a fixed length "rope" to your cursor and an anchor point (Brush). As you move your cursor, you are pulling the brush behind it. The cursor (of course) will not pull the brush until the rope is fully extended, this behavior filters out jittery movements and is used to produce smoother drawing curves.
If compared visually side-by-side, you will notice that this indicator bears striking resemblance to its inspiration.
> Goal
Other than simply distinguishing price movements between meaningful and noise, this indicator strives to create a rigid structure to frame market movements and lack-there-of, such as when to anticipate trend, and when to suspect consolidation.
Since the indicator works based on an ATR range, the resulting ATR Channel does well to get reactions from price at its extremes. Naturally, when consolidating, price will remain within the channel, neither pushing the channel significantly up or down. Likewise, when trending, price will continue to push the channel in a single direction.
With the goal of keeping it quick and simple, this indicator does not do any smoothing of data feeds, and is simply based on the deviation of price from the central rope. Adjusting the rope when price extends past the threshold created by +/- ATR from the rope.
> Features & Behaviors
- ATR Rope
ATR Rope is displayed as a 3 color single line.
This can be considered the center line, or the directional line, whichever you'd prefer.
The main point of the Rope display is to indicate direction, however it also is factually the center of the current working range.
- ATR Rope Color
When the rope's value moves up, it changes to green (uptrend), when down, red (downtrend).
When the source crosses the rope, it turns blue (flat).
With these simple rules, we've formed a structure to view market movements.
- Consolidation Zones
Consolidation Zones generate from "Flat" areas, and extend into subsequent trend areas. Consolidation is simply areas where price has crossed the Rope and remains inside the range. Over these periods, the upper and lower values are accumulated and averaged together to form the "Consolidation Zone" values. These zones are draw live, so values are averaged as the flat areas progress and don't repaint, so all values seen historically are as they would appear live.
- ATR Channel
ATR Channel displays the upper and lower bounds of the working range.
When the source moves beyond this range, the rope is adjusted based on the distance from the source to the channel. This range can be extremely useful to view, but by default it is hidden.
> Application
This indicator is not created to provide signals, or serve as a "complete" system.
(People who didn't read this far will still comment for signals. :) )
This is created to be used alongside manual interpretation and intuition. This indicator is not meant to constrain any users into a box, and I would actually encourage an open mind and idea generation, as the application of this indicator can take various forms.
> Examples
As you would probably already know, price movement can be fast impulses, and movement can be slow bleeds. In the screenshot below, we are using movements from and to consolidation zones to classify weak trend and strong trend. As you can see, there are also areas of consolidation which get broken out of and confirmed for the larger moves.
Author's Note: In each of these examples, I have outlined the start and end of each session. These examples come from 1 Min Future charts, and have specifically been framed with day trading in mind.
"Breakout Retest" or "Support/Resistance Flips" or "Structure Retests" are all generally the same thing, with different traders referring to them by different names, all of which can be seen throughout these examples.
In the next example, we have a day which started with an early reversal leading into long, slow, trend. Notice how each area throughout the trend essentially moves slightly higher, then consolidates while holding support of the previous zone. This day had a few sharp movements, however there was a large amount of neutrality throughout this day with continuous higher lows.
In contrast to the previous example, next up, we have a very choppy day. Throughout which we see a significant amount of retests before fast directional movements. We also see a few examples of places where previous zones remained relevant into the future. While the zones only display into the resulting trend area, they do not become immediately meaningless once they stop drawing.
> Abstract
In the screenshot below, I have stacked 2 of these indicators, using the high as the source for one and the low as the source for the other. I've hidden lines of the high and low channels to create a 4 lined channel based on the wicks of price.
This is not necessary to use the indicator, but should help provide an idea of creative ways the simple indicator could be used to produce more complicated analysis.
If you've made it this far, I would hope it's clear to you how this indicator could provide value to your trading.
Thank you to DonovonWall for the inspiration.
Enjoy!
Volume Momentum [BackQuant]Volume Momentum
The Volume Momentum indicator is designed to help traders identify shifts in market momentum based on volume data. By analyzing the relative volume momentum, this indicator provides insights into whether the market is gaining strength (uptrend) or losing momentum (downtrend). The strategy uses a combination of percentile-based volume normalization, weighted moving averages (WMA), and exponential moving averages (EMA) to assess volume trends.
The system focuses on the relationship between price and volume, utilizing normalized volume data to highlight key market changes. This approach allows traders to focus on volume-driven price movements, helping them to capture momentum shifts early.
Key Features
1. Volume Normalization and Percentile Calculation:
The signed volume (positive when the close is higher than the open, negative when the close is lower) is normalized against the rolling average volume. This normalized volume is then subjected to a percentile interpolation, allowing for a robust statistical measure of how the current volume compares to historical data. The percentile level is customizable, with 50 representing the median.
2. Weighted and Smoothed Moving Averages for Trend Detection:
The normalized volume is smoothed using weighted moving averages (WMA) and exponential moving averages (EMA). These smoothing techniques help eliminate noise, providing a clearer view of the underlying momentum. The WMA filters out short-term fluctuations, while the EMA ensures that the most recent data points have a higher weight, making the system more responsive to current market conditions.
3. Trend Reversal Detection:
The indicator detects momentum shifts by evaluating whether the volume momentum crosses above or below zero. A positive volume momentum indicates a potential uptrend, while a negative momentum suggests a possible downtrend. These trend reversals are identified through crossover and crossunder conditions, triggering alerts when significant changes occur.
4. Dynamic Trend Background and Bar Coloring:
The script offers customizable background coloring based on the trend direction. When volume momentum is positive, the background is colored green, indicating a bullish trend. When volume momentum is negative, the background is colored red, signaling a bearish trend. Additionally, the bars themselves can be colored based on the trend, further helping traders quickly visualize market momentum.
5. Alerts for Momentum Shifts:
The system provides real-time alerts for traders to monitor when volume momentum crosses a critical threshold (zero), signaling a trend reversal. The alerts notify traders when the market momentum turns bullish or bearish, assisting them in making timely decisions.
6. Customizable Parameters for Flexible Usage:
Users can fine-tune the behavior of the indicator by adjusting various parameters:
Volume Rolling Mean: The period used to calculate the average volume for normalization.
Percentile Interpolation Length: Defines the range over which the percentile is calculated.
Percentile Level: Determines the percentile threshold (e.g., 50 for the median).
WMA and Smoothing Periods: Control the smoothing and response time of the indicator.
7. Trend Background Visualization and Trend-Based Bar Coloring:
The background fill is shaded according to whether the volume momentum is positive or negative, providing a visual cue to indicate market strength. Additionally, bars can be color-coded to highlight the trend, making it easier to see the trend’s direction without needing to analyze numerical data manually.
8. Note on Mean-Reversion Strategy:
If you take the inverse of the signals, this indicator can be adapted for a mean-reversion strategy. Instead of following the trend, the strategy would involve buying assets that are underperforming and selling assets that are overperforming, based on volume momentum. However, it’s important to note that this approach may not work effectively on highly correlated assets, as their price movements may be too similar, reducing the effectiveness of the mean-reversion strategy.
Final Thoughts
The Volume Momentum indicator offers a comprehensive approach to analyzing volume-based momentum shifts in the market. By using volume normalization, percentile interpolation, and smoothed moving averages, this system helps identify the strength and direction of market trends. Whether used for trend-following or adapted for mean-reversion, this tool provides traders with actionable insights into the market’s volume-driven movements, improving decision-making and portfolio management.
LRCLRC (Linear Regression Candle)
Overview
The LRC (Linear Regression Candle) indicator applies linear regression to the open, high, low, and close prices, creating smoothed "candles" that help filter market noise. It provides trend-confirmation signals and highlights potential reversal points based on regression crossovers.
Key Features
Smoothed Candles: Uses linear regression to calculate synthetic OHLC values, reducing noise.
Multi-Timeframe Support: Optional higher timeframe analysis for better trend confirmation.
Visual Signals: Color-coded candles and labels highlight bullish/bearish control zones.
Customizable Settings: Adjustable regression length, colors, and timeframe options.
How to Use
Signals & Interpretation
🟢 Bullish Signal (BUY): When the regression open crosses above the regression close (green candle).
🔴 Bearish Signal (SELL): When the regression open crosses below the regression close (red candle).
Control Zones:
Strong Bullish (Controlbull): Confirmed uptrend (bright green).
Bullish (Bull): Regular uptrend (light green).
Strong Bearish (Controlbear): Confirmed downtrend (dark red).
Bearish (Bear): Regular downtrend (orange).
Neutral (Gray): No clear trend.
Recommended Settings
Linear Regression Length: Default 8 (adjust for sensitivity).
Timeframe: Default current chart, but can switch to higher timeframes (e.g., 1D, 1W).
Bar Colors: Toggle on/off for visual clarity.
Labels: Displays "Control" markers at key reversal points.
Example Use Cases
Trend Confirmation: Use higher timeframe LRC to validate the primary trend.
Reversal Signals: Watch for BUY/SELL crossovers with strong color confirmation.
Noise Reduction: Helps avoid false breakouts in choppy markets.
FVG Trailing Stop [LuxAlgo]The FVG Trailing Stop indicator tracks unmitigated Fair Value Gaps (FVG) data to produce a Trailing Stop indicator able to determine if the market is uptrending or downtrending easily.
🔶 USAGE
The FVG Trailing Stop is intended to identify trend directions through its position relative to the closing price:
Bullish: Price is located above the Trailing Stop, indicating that all Bearish FVGs have been mitigated and the trend is anticipated to continue upwards.
Bearish State: Price is located below the Trailing Stop, indicating that all Bullish FVGs have been mitigated and the trend is anticipated to continue downwards.
The Trailing Stop originates from two extremities obtained from the average of respective unmitigated FVGs. The specific directional average is also displayed as a more transparent secondary line, however, the trailing stop is derived from this value and a new trend will not be detected until the opposite directional average is crossed.
Price reaching the Trailing Stop is caused by retracements and can lead to the following scenarios:
Outcome 1: The directional average is crossed next, indicating a new trend direction.
Outcome 2: The directional average is held as support or resistance, leading to a new impulse and a continuation of the trend.
🔹 Reset on Cross
While price crossing the Trailing Stop should be considered as a sign of an upcoming trend change; it is possible for the price to still evolve outside it.
As a solution, we have included the "Reset on Cross" feature, which (as the name suggests) hides and resets the Trailing Stop each time it is crossed, leading to a "Neutral" state.
This opens the opportunity for the Trailing Stop to be displayed again once the price moves again in the direction of the pre-established trend. A trader might use this to accumulate positions within a specific trend.
🔶 DETAILS
The script uses a typical identification method for FVGs. Once identified, the script collects the point of the FVG farthest from the current price when formed.
For Upwards FVGs this is the bottom of the FVG.
For Downwards FVGs this is the top of the FVG.
The data is managed only to use the last input lookback of FVGs. If an FVG is mitigated, it frees up a spot in the memory for a new FVG, however, if the lookback is full, the oldest will be deleted.
From there, it uses a "trailing" logic only to move the Trailing Stop in one direction until the trailing stop resets or the direction flips.
The extremities used to calculate the Trailing Stop are created from 2 calculation steps, the first step involves taking the raw average of the FVG mitigation levels, and the second step applies a simple moving average (SMA) smoothing of the precedent-obtained averages.
🔶 SETTINGS
Unmitigated FVG Lookback: Sets the maximum number of Unmitigated FVGs that the script will use.
Smoothing Length: Sets the smoothing length for the Trailing Stop to reduce erratic results.
Reset on Cross: When enabled, hide and reset the Trailing Stop until the price starts moving in the pre-established trend direction again.
