Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works
Long entries trigger when:
- RSI reaches oversold levels, and
- At least one bullish candle closes inside the lower Bollinger Band
Short entries trigger when:
- RSI reaches overbought levels, and
- At least one bearish candle closes inside the upper Bollinger Band
This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band.
Important Disclaimer
This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether.
For best results, combine this script with:
- Price action
- Market structure
- Higher-timeframe trend context
- Previous day/week/month highs & lows
- Untested liquidity levels or imbalance zones
- Session timing (Asia, London, NY)
Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
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Adaptive Alligator - Asymmetric MH (Entry Only)
Adaptive Alligator – Asymmetric Mexican Hat (Entry Only)
This strategy combines adaptive cycle detection (wavelet + autocorrelation), directional entropy, and a Mexican Hat filter to generate highly selective LONG entry signals. Exits are based solely on the Alligator structure. The system is designed to detect asymmetric, strong, and accelerating bullish phases while filtering out market noise.
1. Adaptive Cycle Detection: The strategy analyzes the median price using wavelet decomposition (Haar, Daubechies D4/D6, Symlet 4), wavelet detail energy, and autocorrelation. It also incorporates the ratio of short-term to long-term ATR volatility. Based on these components, it computes a dominant_cycle value, which dynamically controls the lengths of the Alligator lines (Jaw, Teeth, Lips). This adaptive behavior allows the Alligator to speed up during trending phases and slow down during noise or consolidation.
2. Directional Entropy: Entropy is measured separately for upward and downward movements within the selected lookback window. The entropy difference: e_diff = entropy_down - entropy_up represents the directional bias of the market. When e_diff > 0, the market shows an organized bullish pressure; when < 0, bearish dominance.
3. Mexican Hat Filter: The Mexican Hat (Ricker Wavelet) acts as a second-derivative filter, detecting local maxima in the acceleration of directional entropy. The filtered output (mh_out) is compared against an adaptive noise level computed as SMA(|mh_out|). A signal is considered strong only when: – mh_out exceeds the adaptive noise level, – mh_out is rising relative to the previous bar. This step is critical for eliminating false signals produced by random fluctuations.
4. Entry Logic: A LONG entry requires all three layers: (1) Alligator structure: Lips > Teeth > Jaw. (2) Directional entropy bias: e_diff > 0. (3) A strong, accelerating Mexican Hat signal confirmed by a user-defined number of bars. Once all conditions are satisfied, a buy_final entry is triggered.
5. Exit Logic: Exits are intentionally simple and rely solely on the Alligator: crossunder(lips, teeth) This clean separation ensures precise, adaptive entries and stable, consistent exits.
6. Visual Components: – Alligator lines: Jaw (blue), Teeth (red), Lips (green), plotted with their characteristic offsets. – Background coloring reflects signal strength: dark green (STRONG BUY), lime (acceleration), yellow (weak bias), transparent otherwise. – A dedicated panel displays e_diff (entropy difference), mh_out (Mexican Hat output), and the adaptive noise band.
7. Diagnostic Table: A compact diagnostic dashboard shows: – MH Value, – Noise Level, – MH Acceleration (YES/NO), – Signal Status (STRONG BUY / ACCELERATING / WEAK / BEARISH). It updates on the last bar, making it suitable for live monitoring.
8. Use Case: This strategy is highly selective and ideal as an entry module within trend-following systems. By combining wavelets, entropy, and adaptive noise modeling, it effectively filters out consolidation periods and focuses only on statistically significant bullish transitions. It can be integrated with various exit frameworks such as ATR stops, channel-based exits, range boxes, or trailing logic.
Sniper Perfect: Institutional Flow & Adaptive Risk ProtocolOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
Sniper PerfectOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
12M Return Strategy This strategy is based on the original Dual Momentum concept presented by Gary Antonacci in his book “Dual Momentum Investing.”
It implements the absolute momentum portion of the framework using a 12-month rate of change, combined with a moving-average filter for trend confirmation.
The script automatically adapts the lookback period depending on chart timeframe, ensuring the return calculation always represents approximately one year, whether you are on daily, weekly, or monthly charts.
How the Strategy Works
1. 12-Month Return Calculation
The core signal is the 12-month price return, computed as:
(Current Price ÷ Price from ~1 year ago) − 1
This return:
Plots as a histogram
Turns green when positive
Turns red when negative
The lookback adjusts automatically:
1D chart → 252 bars
1W chart → 52 bars
1M chart → 12 bars
Other timeframes → estimated to approximate 1 calendar year
2. Trend Filter (Moving Average of Return)
To smooth volatility and avoid noise, the strategy applies a moving average to the 12M return:
Default length: 12 periods
Plotted as a white line on the indicator panel
This becomes the benchmark used for crossovers.
3. Trade Signals (Long / Short / Cash)
Trades are generated using a simple crossover mechanism:
Bullish Signal (Go Long)
When:
12M Return crosses ABOVE its MA
Action:
Close short (if any)
Enter long
Bearish Signal (Go Short or Go Flat)
When:
12M Return crosses BELOW its MA
Action:
If shorting is enabled → Enter short
If shorting is disabled → Exit position and go to cash
Shorting can be enabled or disabled with a single input switch.
4. Position Sizing
The strategy uses:
Percent of Equity position sizing
You can specify the percentage of your portfolio to allocate (default 100%).
No leverage is required, but the strategy supports it if your account settings allow.
5. Visual Signals
To improve clarity, the strategy marks signals directly on the indicator panel:
Green Up Arrows: return > MA
Red Down Arrows: return < MA
A status label shows the current mode:
LONG
SHORT
CASH
6. Backtest-Ready
This script is built as a full TradingView strategy, not just an indicator.
This means you can:
Run complete backtests
View performance metrics
Compare long-only vs long/short behavior
Adjust inputs to tune the system
It provides a clean, rule-driven interpretation of the classic absolute momentum approach.
Inspired By: Gary Antonacci – Dual Momentum Investing
This script reflects the absolute momentum side of Antonacci’s original research:
Uses 12-month momentum (the most statistically validated lookback)
Applies a trend-following overlay to control downside risk
Recreates the classic signal structure used in academic studies
It is a simplified, transparent version intended for practical use and educational clarity.
Disclaimer
This script is for educational and research purposes only.
Historical performance does not guarantee future results.
Always use proper risk management.
W/M Pattern Strategy + MACD/RSI Confirmation V3.0 by ThaungkmitlW/M Pattern Strategy + MACD/RSI Confirmation V3.0
Description Text:
This script is a comprehensive Strategy (backtestable) that combines classical Chart Patterns with momentum indicators to identify high-probability reversal setups. It focuses on detecting "W" Patterns (Double Bottoms/Higher Lows) and "M" Patterns (Double Tops/Lower Highs), filtered by MACD and RSI to reduce false signals.
How It Works
The strategy relies on a "Confluence" of three factors before triggering an entry:
1. Price Action Patterns (W & M)
W Pattern (Bullish): The script detects Pivot Lows. If a new Pivot Low is higher than the previous one (forming a Higher Low structure), it marks a potential "W" pattern.
M Pattern (Bearish): The script detects Pivot Highs. If a new Pivot High is lower than the previous one (forming a Lower High structure), it marks a potential "M" pattern.
2. MACD Confirmation (Zero Line)
Price action alone is not enough. The script waits for the MACD Line to cross the Zero Line:
Buy: MACD crosses UP over 0 (indicating bullish momentum shift).
Sell: MACD crosses DOWN under 0 (indicating bearish momentum shift).
3. RSI Threshold
To ensure the trend has strength, the RSI (Relative Strength Index) acts as a final filter:
Buy Condition: RSI must be above 50.
Sell Condition: RSI must be below 50.
Visual Features
Pivot Labels: Automatically marks Pivot High (Red Triangle) and Pivot Low (Green Triangle).
Pattern Lines: Draws lines connecting the swing points when a potential W or M pattern is detected.
Signals: Displays "BUY" or "SELL" labels with text explaining the setup (e.g., "W+MACD+RSI").
Background: Highlights the chart background (Green/Red) when a valid trade signal occurs.
EMAs: Plots EMA 10 (Blue) and EMA 15 (Red) to help you visualize the immediate trend direction.
Settings
Pivot Left/Right Bars: Adjust the sensitivity of the Swing detection.
MACD Settings: Fast, Slow, and Signal lengths (Standard 12, 26, 9).
RSI Settings: Adjust Length and the Threshold level (Default is 50).
Backtesting
This is a strategy script, meaning you can use the Strategy Tester panel below the chart to see how this logic performs on historical data for your chosen timeframe and asset.
Disclaimer: This tool is for educational purposes. Past performance in backtesting does not guarantee future results.
Triple EMA + RSI + ATRThis comprehensive trading system combines triple EMA alignment, RSI momentum filtering, and dynamic ATR-based risk management. The strategy enters positions only when fast, medium, and slow EMAs align in proper order (bullish or bearish), confirmed by RSI remaining within defined thresholds (not overbought/oversold) and a volume spike above its moving average. Exits are managed intelligently using a multi-tier approach: a fixed stop-loss based on ATR, a first profit target at a predefined risk-reward ratio, and a trailing stop that activates after reaching a second, higher profit tier. Designed for trend-following with built-in momentum and volume confirmation, it features professional order execution with configurable commission and slippage for realistic backtesting. Visual cues including colored backgrounds and signal shapes enhance chart clarity.
VWAP + EMA9 + RSI + Edo Control (Edu)VWAP + EMA9 + RSI + Edo Control (Edu)
A complete intraday scalping system that combines institutional levels, fast trend signaling and enhanced candle-color analysis for maximum clarity and confirmation.
This indicator includes:
1. VWAP (Volume Weighted Average Price)
The institutional reference line used to determine value zones, liquidity bias and directional pressure.
2. EMA9 (Fast Exponential Moving Average)
A micro-trend guide that reacts quickly to short-term movements and improves timing on pullback entries.
3. RSI (Relative Strength Index)
A clean momentum filter using the classic >50 (bullish) and <50 (bearish) bias.
Edo Control – Advanced Colored Candle System
This version integrates Edo Control, a custom candle-color engine that visualizes market strength shifts based on Williams %R, directional movement and ADX behavior.
Each candle color represents a different market condition, such as:
Trend acceleration
Trend weakening
Possible reversals
Momentum spikes
Bullish or bearish pressure
Transition zones
A built-in movable legend explains the meaning of each color directly on the chart, so traders can identify conditions instantly without guessing.
Why this indicator works
The combination of VWAP + EMA9 + RSI + colored candle strength creates a multi-layer confirmation system that cuts noise and highlights only meaningful setups.
Designed for 1m, 3m, 5m charts, but also effective on higher timeframes.
Suitable for: stocks, indices, futures, forex, crypto.
NYAM Trend PullbackThis is an trend-following strategy designed for trades taken during New York Morning. It aims to capture trend continuations by entering positions when price aligns with the dominant trend relative to a Exponential Moving Average (EMA).
If price is above the EMA then it is bullish and enters long, and if its below the EMA it is bearish and enters a short.
Supertrend Cloud ProSupertrend Cloud Pro is a next-generation trend + breakout system designed for traders who want clean structure, early breakout confirmation, and disciplined exits.
The strategy combines Fast + Slow Supertrend layers, a dynamic cloud compression model , and a breakout-based entry engine to deliver clarity in trending as well as contracting markets.
How It Works
1. Dual Supertrend Structure (Fast + Slow)
Fast ST reacts quickly to volatility
Slow ST establishes dominant trend bias
Combined color logic instantly reveals market direction
Green Cloud → Bullish Trend
Red Cloud → Bearish Trend
Yellow Cloud → Compression / Squeeze Zone
2. Cloud Compression Logic
The zone between Fast/Slow Supertrend creates a structure-based “cloud.”
When price enters this zone, markets are typically preparing for expansion.
Yellow shading highlights these high-probability breakout zones.
3. Breakout Entry Engine
Long Entry : Price closes above the cloud top
Short Entry: Price closes below the cloud bottom
This avoids premature entries and filters out false noise.
4. Smart Exit Logic
Positions exit automatically when Fast or Slow Supertrend flips direction, ensuring disciplined exit and minimizing emotional decisions.
9:30 Range Break Entry SystemThis strategy identifies the opening range from 9:30-9:35 AM and enters a trade when price breaks above or below that range with confirmation (bullish/bearish candle, engulfing pattern, or no confirmation). You can choose "On Break" mode to enter immediately on the breakout, or "On Pullback" mode to wait for price to pullback into the range and then re-break for a better entry. The strategy takes only one trade per direction per day and provides visual markers showing when the range breaks and when entry conditions are met.
Volume Momentum Strategy [MA/VWAP Cross]Deconstructing the Volume Momentum Strategy: An Analysis of MA-VWAP Cross Mechanics
Introduction
The "Volume Momentum Strategy " is a technical trading algorithm programmed in Pine Script v6 for the TradingView platform. At its core, the strategy is a trend-following system that utilizes the interaction between a specific Moving Average (MA) and the Volume Weighted Average Price (VWAP) to generate trade signals. While the primary execution logic relies on price crossovers, the strategy incorporates a sophisticated secondary layer of analysis using the Commodity Channel Index (CCI) and Stochastic Oscillator. Uniquely, these secondary indicators are applied to volume data rather than price, serving as a gauge for market participation and momentum intensity.
The Core Engine: MA and VWAP Crossover
The primary engine driving the strategy's buy and sell decisions is the crossover relationship between a user-defined Moving Average and the VWAP.
1. The Anchor (VWAP): The strategy calculates the Volume Weighted Average Price based on the HLC3 (High, Low, Close divided by 3) source. VWAP serves as the dynamic benchmark for "fair value" throughout the trading session.
2. The Trigger (Moving Average): The script allows for flexibility in defining the "fast" line, offering options such as Simple (SMA), Exponential (EMA), or Hull Moving Averages.
3. The Signal:
o A Long (Buy) signal is generated when the chosen MA crosses over the VWAP. This suggests that short-term price momentum is exceeding the average volume-weighted price of the session, indicating bullish sentiment.
o A Short (Sell) signal is generated when the MA crosses under the VWAP, indicating bearish pressure where price is being pushed below the session's volume-weighted average.
The Role of CCI and Stochastic: Analyzing Volume Momentum
The prompt specifically inquires about how the CCI and Stochastic indicators fit into this process. In standard technical analysis, these oscillators are used to identify overbought or oversold price conditions. However, this strategy repurposes them to analyze Volume Momentum.
1. The Calculation
Instead of using close prices as the input source, the script passes volume data into both indicator functions:
• Volume CCI: Calculated as ta.cci(volume, cciLength). This measures the deviation of current volume from its statistical average.
• Volume Stochastic: Calculated as ta.stoch(volume, volume, volume, stochLength). This gauges the current volume relative to its recent range.
2. The "Volume Spike" Condition
The strategy combines these two indicators to define a specific market condition labeled isVolumeSpike. A volume spike is confirmed only when both conditions are met simultaneously:
• The Volume CCI must be greater than a defined threshold (default: 100).
• The Volume Stochastic must be greater than a defined threshold (default: 80).
3. Integration into the Process
It is critical to note how this script currently applies this "Volume Spike" logic:
• Visual Confirmation: In the current version of the code, the isVolumeSpike boolean is used strictly for visual feedback. When a spike is detected, the script paints the specific price bar yellow and plots a small triangle marker below the bar.
• Strategic Implication: While the code calculates these metrics, the variables long_condition and short_condition currently rely solely on the MA/VWAP crossover. The developer has left the volume logic as a visual overlay, noting in the comments that it serves as a "visual/alert" or a potential filter.
• Potential Alpha: Conceptually, this setup implies that a trader should look for the MA/VWAP crossover to occur coincidentally with—or shortly after—a "Volume Spike" (yellow bar). This would confirm that the price move is backed by significant institutional participation (volume) rather than just retail noise.
Risk Management and Time Constraints
The strategy wraps these technical signals in a robust risk management framework. It includes hard-coded time windows (start/stop trading times) and a "Close All" function to prevent holding positions overnight. Furthermore, it employs both percentage-based and dollar-based Stop Loss and Take Profit mechanisms, ensuring that every entry—whether generated by a high-momentum crossover or a standard trend move—has a predefined exit plan.
Conclusion
The "Volume Momentum Strategy" is a hybrid system. It executes trades based on the reliable trend signal of MA crossing VWAP but informs the trader with advanced volume analytics. By processing volume through the CCI and Stochastic calculations, it provides a "heads-up" display regarding the intensity of market participation, allowing the trader to distinguish between low-volume drifts and high-volume breakout moves.
The Oracle: Dip & Top Adaptive Sniper [Hakan Yorganci]█ OVERVIEW
The Oracle: Dip & Top Adaptive Sniper is a precision-focused trend trading strategy designed to solve the biggest problem in swing trading: Timing.
Most trend-following strategies chase price ("FOMO"), buying when the asset is already overextended. The Oracle takes a different approach. It adopts a "Sniper" mentality: it identifies a strong macro trend but patiently waits for a Mean Reversion (pullback) to execute an entry at a discounted price.
By combining the structural strength of Moving Averages (SMA 50/200) with the momentum precision of RSI and the volatility filtering of ADX, this script filters out noise and targets high-probability setups.
█ HOW IT WORKS
This strategy operates on a strictly algorithmic protocol known as "The Yorganci Protocol," which involves three distinct phases: Filter, Target, and Execute.
1. The Macro Filter (Trend Identification)
* SMA 200 Rule: By default, the strategy only scans for buy signals when the price is trading above the 200-period Simple Moving Average. This ensures we are always trading in the direction of the long-term bull market.
* Adaptive Switch: A new feature allows users to toggle the Only Buy Above SMA 200? filter OFF. This enables the strategy to hunt for oversold bounces (dead cat bounces) even during bearish or neutral market structures.
2. The Volatility Filter (ADX Integration)
* Sideways Protection: One of the main weaknesses of moving average strategies is "whipsaw" losses during choppy, ranging markets.
* Solution: The Oracle utilizes the ADX (Average Directional Index). It will BLOCK any trade entry if the ADX is below the threshold (Default: 20). This ensures capital is only deployed when a genuine trend is present.
3. The Sniper Entry (Buying the Dip)
* Instead of buying on breakout strength (e.g., RSI > 60), The Oracle waits for the RSI Moving Average to dip into the "Value Zone" (Default: 45) and cross back up. This technique allows for tighter stops and higher Risk/Reward ratios compared to traditional breakout systems.
█ EXIT STRATEGY
The Oracle employs a dynamic dual-exit mechanism to maximize gains and protect capital:
* Take Profit (The Peak): The strategy monitors RSI heat. When the RSI Moving Average breaches the Overbought Threshold (Default: 75), it signals a "Take Profit", securing gains near the local top before a potential reversal.
* Stop Loss (Trend Invalidated): If the market structure fails and the price closes below the 50-period SMA, the position is immediately closed to prevent deep drawdowns.
█ SETTINGS & CONFIGURATION
* Moving Averages: Fully customizable lengths for Support (SMA 50) and Trend (SMA 200).
* Trend Filter: Checkbox to enable/disable the "Bull Market Only" rule.
* RSI Thresholds:
* Sniper Buy Level: Adjustable (Default: 45). Lower values = Deeper dips, fewer trades.
* Peak Sell Level: Adjustable (Default: 75). Higher values = Longer holds, potentially higher profit.
* ADX Filter: Checkbox to enable/disable volatility filtering.
█ BEST PRACTICES
* Timeframe: Designed primarily for 4H (4-Hour) charts for swing trading. It can also be used on 1H for more frequent signals.
* Assets: Highly effective on trending assets such as Bitcoin (BTC), Ethereum (ETH), and high-volume Altcoins.
* Risk Warning: This strategy is designed for "Long Only" spot or leverage trading. Always use proper risk management.
█ CREDITS
* Original Concept: Inspired by the foundational work of Murat Besiroglu (@muratkbesiroglu).
* Algorithm Development & Enhancements: Developed by Hakan Yorganci (@hknyrgnc).
* Modifications include: Integration of ADX filters, Mean Reversion entry logic (RSI Dip), and Dynamic Peak Profit taking.
AB=CD Fibonacci Strategy (One Trade at a Time)
AB=CD Fibonacci Strategy - Harmonic Pattern Trading Bot
Description
An automated trading strategy that identifies and trades the classic AB=CD harmonic pattern, one of the most reliable geometric price formations in technical analysis. This strategy detects perfectly proportioned Fibonacci retracement setups and executes trades with precise risk-reward management.
How It Works
The indicator scans for the AB=CD pattern structure:
Leg AB: Initial swing from pivot point A to pivot point B
Leg BC: Retracement to point C (customizable Fibonacci levels)
Leg CD: Mirror projection equal to the AB leg length
When price touches point D, the strategy automatically enters a position with predefined take-profit and stop-loss levels based on your risk-reward ratio.
Key Features
One Trade at a Time: Ensures disciplined position management by allowing only one active trade per pattern
Customizable Fibonacci Retracement: Set your preferred retracement range for point C (default 50% - 78.6%)
Risk-Reward Control: Adjust stop-loss and take-profit multiples to match your trading plan
Visual Pattern Display: Clear labeling of A, B, C, D points with pattern lines for easy identification
Both Directions: Identifies bullish and bearish AB=CD patterns automatically
Ideal For
Swing traders on higher timeframes (4H, Daily, Weekly)
Harmonic pattern traders seeking automation
Traders wanting precise entry and exit rules based on Fibonacci geometry
Those looking to reduce emotional trading and increase consistency
Default Settings Optimized For
NASDAQ futures and currency pairs
Medium timeframe analysis
Conservative risk management (10% position size per trade)
EVS BTC V1Overview
The "EVS BTC V1" is a momentum-based trading strategy designed for Bitcoin (BTC) or similar volatile assets on TradingView. It combines Exponential Moving Averages (EMAs) for trend direction, volume confirmation to filter for strong moves, and an optional Relative Strength Index (RSI) filter to avoid overextended entries. The strategy uses a trailing stop for exits to lock in profits dynamically. It's set up for backtesting with an initial capital of $10,000, risking 10% of equity per trade, and accounting for 0.1% commissions.This is a crossover strategy: it goes long on bullish EMA crossovers with high volume (and RSI not overbought) and short on bearish crossunders (with high volume and RSI not oversold). It's overlayed on the main price chart for easy visualization.Key Parameters (User-Adjustable)Fast EMA Period: 9 (default) – Shorter-term trend line.
Slow EMA Period: 21 (default) – Longer-term trend line.
Volume Multiplier: 1.5 (default) – Requires volume to be 1.5x the 20-period average for signal validation.
Use RSI Filter?: Enabled (default) – Optional toggle to apply RSI conditions.
RSI Period: 14 (default), with overbought threshold at 70 and oversold at 30.
Trailing Stop Profit: 50 points (default) – Activates trailing once this profit level is hit.
Trailing Stop Offset: 20 points (default) – Distance from the high/low to trail the stop-loss.
Indicators UsedEMAs: 9-period (fast, blue line) and 21-period (slow, red line) on close prices.
Volume Filter: Compares current volume to a 20-period SMA; signals only trigger if volume exceeds the average by the multiplier (highlighted in yellow bars).
RSI: 14-period on close; plotted in purple on a sub-panel if enabled, with dashed horizontal lines at 70 (overbought) and 30 (oversold).
Entry RulesEntries are triggered only when all conditions align on a bar close:Direction
Conditions
Long (Buy)
- Fast EMA crosses over Slow EMA (bullish trend shift).
- Volume is "high" (> 1.5x 20-period avg).
- RSI < 70 (not overbought; skipped if filter disabled).
Short (Sell)
- Fast EMA crosses under Slow EMA (bearish trend shift).
- Volume is "high" (> 1.5x 20-period avg).
- RSI > 30 (not oversold; skipped if filter disabled).
On entry: Places a market order using 10% of current equity.
Alerts: Fires a one-time alert per bar (e.g., "Long Signal: EMA Crossover + High Volume!").
Exit RulesNo fixed take-profit or stop-loss on entry.
Uses a trailing stop for both long and short positions:Trails the stop-loss 20 points below the highest high (for longs) or 20 points above the lowest low (for shorts), but only activates after 50 points of unrealized profit.
This allows winners to run while protecting gains dynamically.
Positions close automatically on opposite signals or trailing stop hits (no pyramiding; only one position per direction at a time).
VisualizationMain Chart: Blue fast EMA and red slow EMA lines. Green background tint on long signals, red on short signals.
Volume Sub-Panel: Gray columns for normal volume, yellow for high-volume bars; zero line for reference.
RSI Sub-Panel (if enabled): Purple RSI line with overbought/oversold dashed lines.
Strengths and ConsiderationsStrengths: Simple, trend-following with volume to avoid weak signals; RSI adds mean-reversion protection; trailing stops suit trending markets like BTC.
Risks: Whipsaws in sideways markets (EMA crossovers can false-signal); volume filter may miss low-volume breakouts; trailing parameters (50/20 points) assume a specific price scale (e.g., BTC/USD in dollars—adjust for other pairs).
Best For: Higher timeframes (e.g., 1H or 4H) on volatile crypto pairs. Backtest on historical data to tune parameters.
Superior-Range Bound Renko - Strategy - 11-29-25 - SignalLynxSuperior-Range Bound Renko Strategy with Advanced Risk Management Template
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
Welcome to Superior-Range Bound Renko (RBR) — a volatility-aware, structure-respecting swing-trading system built on top of a full Risk Management (RM) Template from Signal Lynx.
Instead of relying on static lookbacks (like “14-period RSI”) or plain MA crosses, Superior RBR:
Adapts its range definition to market volatility in real time
Emulates Renko Bricks on a standard, time-based chart (no Renko chart type required)
Uses a stack of Laguerre Filters to detect genuine impulse vs. noise
Adds an Adaptive SuperTrend powered by a small k-means-style clustering routine on volatility
Under the hood, this script also includes the full Signal Lynx Risk Management Engine:
A state machine that separates “Signal” from “Execution”
Layered exit tools: Stop Loss, Trailing Stop, Staged Take Profit, Advanced Adaptive Trailing Stop (AATS), and an RSI-style stop (RSIS)
Designed for non-repainting behavior on closed candles by basing execution-critical logic on previous-bar data
We are publishing this as an open-source template so traders and developers can leverage a professional-grade RM engine while integrating their own signal logic if they wish.
2. Quick Action Guide (TL;DR)
Best Timeframe:
4 Hours (H4) and above. This is a high-conviction swing-trading system, not a scalper.
Best Assets:
Volatile instruments that still respect market structure:
Bitcoin, Ethereum, Gold (XAUUSD), high-volatility Forex pairs (e.g., GBPJPY), indices with clean ranges.
Strategy Type:
Volatility-Adaptive Trend Following + Impulse Detection.
It hunts for genuine expansion out of ranges, not tiny mean-reversion nibbles.
Key Feature:
Renko Emulation on time-based candles.
We mathematically model Renko Bricks and overlay them on your standard chart to define:
“Equilibrium” zones (inside the brick structure)
“Breakout / impulse” zones (when price AND the impulse line depart from the bricks)
Repainting:
Designed to be non-repainting on closed candles.
All RM execution logic uses confirmed historical data (no future bars, no security() lookahead). Intrabar flicker during formation is allowed, but once a bar closes the engine’s decisions are stable.
Core Toggles & Filters:
Enable Longs and Shorts independently
Optional Weekend filter (block trades on Saturday/Sunday)
Per-module toggles: Stop Loss, Trailing Stop, Staged Take Profits, AATS, RSIS
3. Detailed Report: How It Works
A. The Strategy Logic: Superior RBR
Superior RBR builds its entry signal from multiple mathematical layers working together.
1) Adaptive Lookback (Volatility Normalization)
Instead of a fixed 100-bar or 200-bar range, the script:
Computes ATR-based volatility over a user-defined period.
Normalizes that volatility relative to its recent min/max.
Maps the normalized value into a dynamic lookback window between a minimum and maximum (e.g., 4 to 100 bars).
High Volatility:
The lookback shrinks, so the system reacts faster to explosive moves.
Low Volatility:
The lookback expands, so the system sees a “bigger picture” and filters out chop.
All the core “Range High/Low” and “Range Close High/Low” boundaries are built on top of this adaptive window.
2) Range Construction & Quick Ranges
The engine constructs several nested ranges:
Outer Range:
rangeHighFinal – dynamic highest high
rangeLowFinal – dynamic lowest low
Inner Close Range:
rangeCloseHighFinal – highest close
rangeCloseLowFinal – lowest close
Quick Ranges:
“Half-length” variants of those, used to detect more responsive changes in structure and volatility.
These ranges define:
The macro box price is trading inside
Shorter-term “pressure zones” where price is coiling before expansion
3) Renko Emulation (The Bricks)
Rather than using the Renko chart type (which discards time), this script emulates Renko behavior on your normal candles:
A “brick size” is defined either:
As a standard percentage move, or
As a volatility-driven (ATR) brick, optionally inhibited by a minimum standard size
The engine tracks a base value and derives:
brickUpper – top of the emulated brick
brickLower – bottom of the emulated brick
When price moves sufficiently beyond those levels, the brick “shifts”, and the directional memory (renkoDir) updates:
renkoDir = +2 when bricks are advancing upward
renkoDir = -2 when bricks are stepping downward
You can think of this as a synthetic Renko tape overlaid on time-based candles:
Inside the brick: equilibrium / consolidation
Breaking away from the brick: momentum / expansion
4) Impulse Tracking with Laguerre Filters
The script uses multiple Laguerre Filters to smooth price and brick-derived data without traditional lag.
Key filters include:
LagF_1 / LagF_W: Based on brick upper/lower baselines
LagF_Q: Based on HLCC4 (high + low + 2×close)/4
LagF_Y / LagF_P: Complex averages combining brick structures and range averages
LagF_V (Primary Impulse Line):
A smooth, high-level impulse line derived from a blend of the above plus the outer ranges
Conceptually:
When the impulse line pushes away from the brick structure and continues in one direction, an impulse move is underway.
When its direction flips and begins to roll over, the impulse is fading, hinting at mean reversion back into the range.
5) Fib-Based Structure & Swaps
The system also layers in Fib levels derived from the adaptive ranges:
Standard levels (12%, 23.6%, 38.2%, 50%, 61%, 76.8%, 88%) from the main range
A secondary “swap” set derived from close-range dynamics (fib12Swap, fib23Swap, etc.)
These Fibs are used to:
Bucket price into structural zones (below 12, between 23–38, etc.)
Detect breakouts when price and Laguerre move beyond key Fib thresholds
Drive zSwap logic (where a secondary Fib set becomes the active structure once certain conditions are met)
6) Adaptive SuperTrend with K-Means-Style Volatility Clustering
Under the hood, the script uses a small k-means-style clustering routine on ATR:
ATR is measured over a fixed period
The range of ATR values is split into Low, Medium, High volatility centroids
Current ATR is assigned to the nearest centroid (cluster)
From that, a SuperTrend variant (STK) is computed with dynamic sensitivity:
In quiet markets, SuperTrend can afford to be tighter
In wild markets, it widens appropriately to avoid constant whipsaw
This SuperTrend-based oscillator (LagF_K and its signals) is then combined with the brick and Laguerre stack to confirm valid trend regimes.
7) Final Baseline Signals (+2 / -2)
The “brain” of Superior RBR lives in the Baseline & Signal Generation block:
Two composite signals are built: B1 and B2:
They combine:
Fib breakouts
Renko direction (renkoDir)
Expansion direction (expansionQuickDir)
Multiple Laguerre alignments (LagF_Q, LagF_W, LagF_Y, LagF_Z, LagF_P, LagF_V)
They also factor in whether Fib structures are expanding or contracting.
A user toggle selects the “Baseline” signal:
finalSig = B2 (default) or B1 (alternate baseline)
finalSig is then filtered through the RM state machine and only when everything aligns, we emit:
+2 = Long / Buy signal
-2 = Short / Sell signal
0 = No new trade
Those +2 / -2 values are what feed the Risk Management Engine.
B. The Risk Management (RM) Engine
This script features the Signal Lynx Risk Management Engine, a proprietary state machine built to separate Signal from Execution.
Instead of firing orders directly on indicator conditions, we:
Convert the raw signal into a clean integer (Fin = +2 / -2 / 0)
Feed it into a Trade State Machine that understands:
Are we flat?
Are we in a long or short?
Are we in a closing sequence?
Should we permit re-entry now or wait?
Logic Injection / Template Concept:
The RM engine expects a simple integer:
+2 → Buy
-2 → Sell
Everything else (0) is “no new trade”
This makes the script a template:
You can remove the Superior RBR block
Drop in your own logic (RSI, MACD, price action, etc.)
As long as you output +2 or -2 into the same signal channel, the RM engine can drive all exits and state transitions.
Aggressive vs Conservative Modes:
The input AgressiveRM (Aggressive RM) governs how we interpret signals:
Conservative Mode (Aggressive RM = false):
Uses a more filtered internal signal (AF) to open trades
Effectively waits for a clean trend flip / confirmation before new entries
Minimizes whipsaw at the cost of fewer trades
Aggressive Mode (Aggressive RM = true):
Reacts directly to the fresh alert (AO) pulses
Allows faster re-entries in the same direction after RM-based exits
Still respects your pyramiding setting; this script ships with pyramiding = 0 by default, so it will not stack multiple positions unless you change that parameter in the strategy() call.
The state machine enforces discipline on top of your signal logic, reducing double-fires and signal spam.
C. Advanced Exit Protocols (Layered Defense)
The exit side is where this template really shines. Instead of a single “take profit or stop loss,” it uses multiple, cooperating layers.
1) Hard Stop Loss
A classic percentage-based Stop Loss (SL) relative to the entry price.
Acts as a final “catastrophic protection” layer for unexpected moves.
2) Standard Trailing Stop
A percentage-based Trailing Stop (TS) that:
Activates only after price has moved a certain percentage in your favor (tsActivation)
Then trails price by a configurable percentage (ts)
This is a straightforward, battle-tested trailing mechanism.
3) Staged Take Profits (Three Levels)
The script supports three staged Take Profit levels (TP1, TP2, TP3):
Each stage has:
Activation percentage (how far price must move in your favor)
Trailing amount for that stage
Position percentage to close
Example setup:
TP1:
Activate at +10%
Trailing 5%
Close 10% of the position
TP2:
Activate at +20%
Trailing 10%
Close another 10%
TP3:
Activate at +30%
Trailing 5%
Close the remaining 80% (“runner”)
You can tailor these quantities for partial scaling out vs. letting a core position ride.
4) Advanced Adaptive Trailing Stop (AATS)
AATS is a sophisticated volatility- and structure-aware stop:
Uses Hirashima Sugita style levels (HSRS) to model “floors” and “ceilings” of price:
Dungeon → Lower floors → Mid → Upper floors → Penthouse
These levels classify where current price sits within a long-term distribution.
Combines HSRS with Bollinger-style envelopes and EMAs to determine:
Is price extended far into the upper structure?
Is it compressed near the lower ranges?
From this, it computes an adaptive factor that controls how tight or loose the trailing level (aATS / bATS) should be:
High Volatility / Penthouse areas:
Stop loosens to avoid getting wicked out by inevitable spikes.
Low Volatility / compressed structure:
Stop tightens to lock in and protect profit.
AATS is designed to be the “smart last line” that responds to context instead of a single fixed percentage.
5) RSI-Style Stop (RSIS)
On top of AATS, the script includes a RSI-like regime filter:
A McGinley Dynamic mean of price plus ATR bands creates a dynamic channel.
Crosses above the top band and below the lower band change a directional state.
When enabled (UseRSIS):
RSIS can confirm or veto AATS closes:
For longs: A shift to bearish RSIS can force exits sooner.
For shorts: A shift to bullish RSIS can do the same.
This extra layer helps avoid over-reactive stops in strong trends while still respecting a regime change when it happens.
D. Repainting Protection
Many strategies look incredible in the Strategy Tester but fail in live trading because they rely on intrabar values or future-knowledge functions.
This template is built with closed-candle realism in mind:
The Risk Management logic explicitly uses previous bar data (open , high , low , close ) for the key decisions on:
Trailing stop updates
TP triggers
SL hits
RM state transitions
No security() lookahead or future-bar access is used.
This means:
Backtest behavior is designed to match what you can actually get with TradingView alerts and live automation.
Signals may “flicker” intrabar while the candle is forming (as with any strategy), but on closed candles, the RM decisions are stable and non-repainting.
4. For Developers & Modders
We strongly encourage you to mod this script.
To plug your own strategy into the RM engine:
Look for the section titled:
// BASELINE & SIGNAL GENERATION
You will see composite logic building B1 and B2, and then selecting:
baseSig = B2
altSig = B1
finalSig = sigSwap ? baseSig : altSig
You can replace the content used to generate baseSig / altSig with your own logic, for example:
RSI crosses
MACD histogram flips
Candle pattern detectors
External condition flags
Requirements are simple:
Your final logic must output:
2 → Buy signal
-2 → Sell signal
0 → No new trade
That output flows into the RM engine via finalSig → AlertOpen → state machine → Fin.
Once you wire your signals into finalSig, the entire Risk Management system (Stops, TPs, AATS, RSIS, re-entry logic, weekend filters, long/short toggles) becomes available for your custom strategy without re-inventing the wheel.
This makes Superior RBR not just a strategy, but a reference architecture for serious Pine dev work.
5. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Auto Div ADX STO RSI (Flip+P) v2This strategy combines multi-indicator divergence detection, momentum confirmation and adaptive position management into a unified automated trading framework.
It identifies regular bullish and bearish divergences using RSI and Stochastic (K), with configurable confirmation logic (RSI+STO, RSI only, or STO only). Divergences are validated only when price forms a lower low / higher high while the oscillator forms a higher low / lower high within a user-defined lookback window.
To filter low-quality setups, the strategy applies an ADX trend strength requirement, ensuring signals are taken only when market conditions reflect sufficient directional energy. Optional stochastic filters (oversold/overbought K levels) can further refine long and short entries.
Once a valid signal appears, the system supports Automatic Flip Logic:
If a bullish divergence forms during a short position, the strategy closes the short and flips long.
If a bearish divergence forms during a long position, it closes the long and flips short.
Position sizing uses adaptive pyramiding: the initial flip takes size proportional to the opposite side’s accumulated units, and new signals in the same direction can add incremental units (scale-in) if enabled. This models progressive conviction as new divergence signals occur.
All entries can optionally be required to confirm on bar close.
Alerts are included for both Long and Short entries.
Key Features
• Automatic detection of RSI and Stochastic divergences
• User-selectable confirmation rules (RSI, STO, or both)
• ADX-based strength filter
• Optional Stochastic K oversold/overbought filters
• Full flip logic between Long and Short
• Dynamic pyramiding and configurable scale-ins
• Bar-close confirmation option
• Alerts for Long/Short entries
• Status-line visualization of ADX, RSI, Stochastic, and unit cycles
This strategy is designed for traders who want a structured, divergence-based model enhanced with trend strength filtering and flexible position management logic, suitable for systematic discretionary trading or fully automated execution.
SmartMoneyConcept ProFlow StrategySmartMoneyConcept ProFlow is a complete SMC-based algo built for trending markets and clean volatility phases – especially on crypto pairs like BTC, ETH and perpetual futures.
It combines:
• Smart Money swing structure (BOS / CHoCH)
• Dynamic Support & Resistance levels
• Order Block–style gap detection
• Volatility normalization (ATR / Range / BBWidth)
• SuperTrend trend filter
• ATR & Volume-based exits, TP lock and session control
The goal: fewer random trades, more focused entries when structure + volatility + trend are in sync.
1. Core Idea
Smart Structure Levels (S/R)
– The strategy builds dynamic support/resistance using swing highs/lows.
– Breakouts above resistance or below support, with enough volatility (filter), become primary trade signals.
BOS / CHoCH Engine
– Tracks Break of Structure (BOS) and Change of Character (CHoCH).
– BOS up/down help define the current trend bias.
– CHoCH highlights potential reversals after a confirmed BOS in the opposite direction.
Order Block Gap Logic
– Detects displacement candles with gaps (based on ATR) to approximate OB-style “impulsive moves”.
– Bullish gaps can add confluence for long entries, bearish gaps for shorts.
Volatility-Aware Entries
– Uses normalized volatility (via ATR, Range or BBWidth).
– Filters out breakouts in dead, low-vol environments and focuses on moves with real expansion.
2. Trend & Risk Management Stack
SuperTrend Filter
– Optional “Only With SuperTrend Direction” to restrict entries to the current ST trend.
– ST flips can also force exits if you want to exit as soon as the main trend changes.
ATR-Based Stops & Trails
– ATR distance check to avoid ultra-tight stops that get chopped instantly.
– Three modes:
• StopOnly – classic fixed ATR stop.
• TrailOnly – trailing ATR-style stop.
• StopAndTrail – initial fixed stop that later trails with price.
Volume-Based Exits (Optional)
– Exit on extremely low volume (move losing participation).
– Or on opposite volume spikes (strong counter-pressure against your position).
– Or use Both for a more active volume management.
TP Lock Logic
– When unrealized profit reaches a chosen value, the position is closed and a “lock” can be applied.
– Use this lock to:
• block same-direction re-entries for that side, or
• allow them again depending on your preference.
3. Anti-Churn & Session Control
Anti-Churn Controls
– Minimum bars between entries.
– Cooldown after an ATR exit.
– Limit of max entries per bar.
Session Filter
– Restrict trading to a specific hourly window (e.g. main market session).
– Option to force close positions outside your active session.
– Handy for intraday traders who don’t want overnight or low-liquidity exposure.
4. SmartMoney Preset Modes
Preset Mode:
• EtherFlux – more flexible, for general breakout & volatility trading.
• SmartMoney – SMC-focused preset:
– Adjusted length, volatility filter and ATR settings.
– Option to disable exits from the strategy side (for manual risk control).
Switching presets automatically tunes multiple internal parameters so you don’t have to micromanage every input each time.
5. Visual Layer
This script has a complete visual suite to help you “read the tape”:
– Bar Colors by position and SuperTrend bias.
– Support / Resistance dots and lines (stepline style).
– Order Block markers (bullish / bearish gap labels).
– BOS / CHoCH labels to track structure shifts in real-time.
– Liquidation Zones (visual only)
• Approximate long and short liquidation areas based on assumed leverage.
• Shaded zones on the chart for quick liquidity map.
– Status Labels
• Session status (ACTIVE / OFF / DISABLED).
• Current position (LONG / SHORT / FLAT).
• TP Lock status (longs locked / shorts locked / no lock).
All visuals are designed for dark charts but also work on light themes with minor tweaks.
6. Quick Input Guide
• Levels Period & Volatility Filter – main structure sensitivity and breakout quality.
• Volatility Method – ATR / Range / BBWidth normalization for the vol filter.
• ATR Stop & Management – core risk rules: ATR multiplier, stop/trail mode, min ATR distance.
• SuperTrend Settings – trend bias and ST-flip exits.
• SmartMoney Preset – quick switch between EtherFlux and SmartMoney tuning.
• Volume Exits – low volume / opposite spike / both.
• Session Filter – hour-based trading window + optional forced flat outside session.
• Follow-Signal Mode – flip from long→short or short→long when signal reverses (signal-based rotation).
• TP Lock – secure profits at a fixed amount and optionally block same-direction re-entries.
• Liq Zones – visual only, for liquidity map (no direct trade logic).
How to Use (My Suggestion)
Start on 15m–4H charts for liquid pairs (BTC, ETH, majors).
Choose your preset:
– EtherFlux for more general breakout + vol trading.
– SmartMoney if you want stricter SMC behaviour.
Turn on SuperTrend + ATR stops for cleaner risk management.
Forward-test in replay / paper trading before using real capital.
Use the visual BOS/CHoCH + Liq Zones as context , not as blind signals.
Important
This is a backtest & research tool . It is not financial advice and does not guarantee profits. Always combine it with your own risk management, position sizing, and forward-testing before going live. Trading leveraged products and crypto can result in partial or full loss of capital.
Best Entry Swing MASTER v3 PUBLIC (S.S)Strategy Description (English)
Best Entry Swing MASTER v3 – Quality Mode
The Best Entry Swing MASTER v3 is a structured swing trading and trend-following strategy designed to identify high-probability long and short entries during directional markets.
It combines three core setup types commonly used by momentum and breakout traders:
Breakout (BO)
Pullback Reversal (PB)
Volatility Contraction Pattern (VCP)
The strategy applies multiple layers of confirmation, including multi-EMA trend structure, volatility contraction, volume filters, and an optional market regime filter.
It is suitable for swing trading on higher timeframes (4H, Daily), as well as medium-term trend continuation setups.
Core Concepts
1. Trend Structure
A trend is considered valid when:
Uptrend: Price > EMA20 > EMA50 > EMA100
Downtrend: Price < EMA20 < EMA50 < EMA100
In addition, a simple but effective trend-strength metric is calculated using the percentage spread between EMA20 and EMA100.
This helps avoid signals during sideways or low-volatility environments.
2. Market Regime Filter
The market environment is determined using a higher timeframe benchmark (default: SPY on Daily).
Only long trades are allowed in bullish market conditions
Only short trades in bearish conditions
This significantly reduces false signals in counter-trend conditions.
Entry Logic
Breakout (BO)
A long breakout triggers when:
Price closes above the highest high of the lookback period
Volume exceeds its 20-period average
Trend and market regime confirm
(Optional A+ mode): true volatility contraction is required
Similar logic applies for short breakdowns.
Pullback (PB)
A pullback entry triggers after:
At least two corrective candles
A strong reversal candle (close above previous high for long)
Volume confirmation
Price interacts with EMA20
This structure models classical trend-reentry conditions.
Volatility Contraction Pattern (VCP)
A VCP entry triggers when:
True range contracts over multiple bars
Price holds near the breakout zone
Volume contracts
Trend and market regime are aligned
This setup aims to capture explosive continuation moves.
Quality Modes
The strategy offers two modes:
Balanced Mode
Moderate signal frequency
Broader trend-strength allowance
Suitable for more active traders
A+ Only Mode
Strict confirmation requirements
Only high-quality setups with multiple confluences
Designed to avoid low-probability trades entirely
Risk Management
Risk is managed using an ATR-based stop and target:
Long SL = Close − ATR × 1.5
Long TP = Close + ATR × 3
(Equivalent logic for short positions)
This provides a balanced reward-to-risk profile and avoids overly tight stops.
Early Entry Signals (Optional)
The script offers optional “Early Entry” markers that highlight when a setup is forming but not yet confirmed.
These are not entry signals and are disabled by default for public use.
Intended Use
This strategy is designed for:
Swing trading
Momentum continuation
Trend-following
Multi-day to multi-week trades
It performs best on:
4H
Daily
High-liquidity equities, indices, and futures
Disclaimer
This script is intended for educational and research purposes.
Past performance does not guarantee future results.
Always backtest thoroughly and use appropriate risk management.
G-BOT ENGULFING CANDLE - FIXED SL & TP // Description:
This Pine Script strategy identifies bullish and bearish engulfing candle patterns over a defined lookback period and places trades based
on recent market highs and lows. It calculates stop loss and take profit levels using the Average True Range (ATR) multiplied by a user-defined factor, with the ability to adjust the risk-to-reward ratio for each trade.
RUSSFEST SMC Strategy V1.4RUSSFEST SMC Strategy V1.4 is a multi-timeframe Smart Money Concepts framework that builds a clean, rule-based view of market structure and then trades directly off that structure. It’s designed for traders who want to systematize SMC logic, keep their charts readable, and automate their trading.
Instead of relying on lagging oscillators, the strategy continuously tracks the active price leg, labels strong/weak highs and lows, and reacts to structural shifts in real time. The current timeframe leg is always drawn on your chart with a clear high, low, and midpoint, so you can instantly see whether price is trading in a discount or premium relative to the leg. Trade entries are driven by confirmed events aligned with directional bias, not by single-candle patterns.
A higher-timeframe (HTF) structure engine runs in the background and can be overlaid on your execution timeframe (e.g., 4H structure on a 15m chart). This HTF leg provides the primary bias and defines HTF discount/premium zones so that longs can be constrained to discounted areas of a bullish leg and shorts to premium areas of a bearish leg. An optional additional HTF bias can be turned on for traders who want an extra top-down filter before any position is allowed.
Risk management is fully structure-based. Stops are always placed beyond the current structure high/low with an optional buffer, so every trade is anchored to a meaningful swing point instead of arbitrary points. Take-profit logic is configurable:
Fixed RR – simple R-multiple targeting off the structure-based stop.
HTF Weak High/Low – targets the opposing side of the active HTF leg.
Opposite CHoCH – dynamically exits when structure flips against the position, effectively using the next structural shift as an exit rule.
Key Features:
Full SMC-style price leg tracking with strong/weak highs & lows and midpoint.
Multi-timeframe structure: overlay HTF leg on your LTF execution chart.
Primary and optional secondary HTF bias filters.
Discount/premium gating relative to the HTF leg (no “chasing” in the wrong zone).
Structure-anchored stop loss with three exit modes (Fixed RR, HTF target, Opposite CHoCH).
Day-of-week filters for filtering out any days that don't prove to be profitable.
This script is a structured SMC framework, not financial advice. Markets are risky; always forward-test, adjust parameters for your instrument and timeframe, and use position sizing that fits your own risk tolerance.
Full Regime Engine – Trend / Mean Revert / No-Trade🚀 Full Regime Engine Strategy: Trend / Mean Revert / No-Trade
This comprehensive strategy, named the Full Regime Engine, is designed to adapt its trading logic based on prevailing market conditions, classifying the market into three distinct regimes: Trend, Mean Reversion (MR), and No-Trade. It uses a combination of Average True Range (ATR) volatility ratio and the Average Directional Index (ADX) to determine the current regime, ensuring the appropriate entry and exit logic is applied.
⚙️ How the Regime Engine Works
The strategy uses two core indicators to define the market regime:
Volatility Ratio (ATR / SMA of ATR):
High Volatility Ratio (above highVolThr) suggests an active, potentially trending market.
Low Volatility Ratio (below lowVolThr) suggests a calmer, mean-reverting environment.
Average Directional Index (ADX):
High ADX (above adxTrendMin) confirms the strength of a potential trend.
Low ADX (below adxChopMax) confirms a weak, non-directional, or choppy market suitable for mean reversion.
The regimes are defined as follows:
🟢 Trend Regime: High Volatility Ratio AND High ADX.
🔵 Mean Reversion (MR) Regime: Low Volatility Ratio AND Low ADX.
⚫ No-Trade Regime: Any other condition, including outside of the defined session/time filters.
🎯 Entry and Exit Logic by Regime
The strategy employs a different entry and exit approach for each active regime:
1. Trend Regime (Pullback Entries)
Definition: The trend is established using a cross of Fast and Slow EMAs (emaFastLen and emaSlowLen).
Entry Signal: A pullback entry, where the price momentarily touches the Fast EMA and then closes back in the direction of the trend.
Long: low <= Fast EMA and close > Fast EMA (during a bullish trend).
Short: high >= Fast EMA and close < Fast EMA (during a bearish trend).
Risk Management: Uses a wider Stop Loss (slTrend) and Take Profit (tpTrend) based on ATR multiples, reflecting the expectation of larger moves in a trending market.
2. Mean Reversion Regime (VWAP Deviation Fades)
Definition: Trades the fade of extreme price movements back towards the Volume-Weighted Average Price (VWAP).
Entry Signal: Price is significantly deviated from VWAP (measured in ATR multiples mrDevATR) and shows a reversal candle.
Long (Fade Short): Price is far below VWAP (devZ < -mrDevATR) and the current candle is bullish (close > open).
Short (Fade Long): Price is far above VWAP (devZ > mrDevATR) and the current candle is bearish (close < open).
Risk Management: Uses a tighter Stop Loss (slMR) and Take Profit (tpMR) based on ATR multiples, suitable for capturing smaller moves near the mean.
⏱️ Time-Based Filters
The strategy includes robust time filters to only trade during periods with higher liquidity and predictable activity:
RTH Session Filter: Trades only within the defined "Regular Trading Hours" session (sessionStr).
Midday Filter: Optionally avoids the typically slow and choppy midday trading hours (11:00–13:00).
📊 Visuals & Customization
Background Colors: The chart background automatically colors to display the current regime: Green for Trend, Blue for Mean Revert, and Gray for No-Trade.
Plot Shapes: Distinct shapes and labels mark the raw entry signals for both Trend (Triangles) and Mean Reversion (Circles).
ATR Exits: Plots the dynamically calculated Stop Loss (Red) and Take Profit (Green) lines based on the trade's entry mode (Trend or MR).
💡 Note: This is a comprehensive engine that requires careful optimization of the input parameters for your specific instrument and timeframe. Start with the default settings and adjust the regime thresholds (ATR Ratio and ADX) and the risk/reward multiples (SL/TP) to suit your trading style.
Titan EMA Liquidity [Stansbooth]
🔥 Precision EMA + FVG Liquidity Sweep System
Advanced Buy/Sell Signal Engine for High-Probability Trade Entries
Unlock a new level of precision with this all-in-one market structure indicator built for traders who demand accuracy, clarity, and confidence.
This tool combines EMA trend filtration , Fair Value Gap (FVG) detection , and liquidity sweep analysis to deliver powerful buy and sell signals that align with institutional price behavior.
✅ Key Features
Dynamic EMA Trend Filter:
Identifies true trend direction and filters out low-quality trades. Signals only trigger when momentum aligns with higher-timeframe directional bias.
Smart FVG Detection:
Automatically highlights bullish and bearish Fair Value Gaps, helping you spot premium/discount zones where institutional traders seek entries.
Liquidity Sweep Identification:
Detects equal highs/lows, stop hunts, and engineered liquidity grabs—then confirms reversals when price sweeps liquidity and returns inside structure.
High-Accuracy Signal Engine:
Buy/Sell alerts trigger only when three layers agree:
1. EMA trend alignment
2. FVG confirmation
3. Liquidity sweep completion
This results in cleaner signals , fewer false entries, and strong trend continuation setups.
Optimized for All Market Conditions:
Works for scalping, day trading, and swing trading across Forex, Crypto, Indices, and Stocks.
What This Indicator Helps You Achieve
Capture smart-money style entries with reduced drawdown
Enter after liquidity grabs instead of before them
Avoid chop with EMA-filtered market direction
Spot precision premium/discount zones using automatic FVG mapping
Obtain high-confidence Buy/Sell signals based on institutional concept
Why Traders Love It
This system isn’t just another signal generator—it’s a market-structure aware model that reads the chart the same way professional traders do.
Every signal is based on probability stacking , giving you the clarity and confidence to take the best setups while ignoring noise.
