Trend Revisit Pullback Strategy (Final Working Box)📈 Trend Revisit Pullback Strategy
This TradingView Pine Script strategy identifies strong trend breakouts and accounts for natural pullbacks by:
Entering long or short on strong 1-bar breakouts
Allowing for pullback averaging if price retraces after entry
Expecting a revisit to the original entry price within 15 bars
Automatically exiting at break-even or using a custom TP/SL
Drawing a visual trade zone (entry → SL → revisit window) for easy reference
Optional labels and color-coded boxes to track each trade’s lifecycle
Ideal for trend traders who anticipate a pullback and prefer to manage risk with break-even exits or reward-to-risk parameters.
Поиск скриптов по запросу "bar"
VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL PlotsHere’s a quick user-guide to get you up and running with your “VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL Plots” script in TradingView:
⸻
1. Installing the Script
1. Open TradingView, go to Pine Editor (bottom panel).
2. Paste in your full Pine-v6 code and hit Add to chart.
3. Save it (“Save as…”): give it a memorable name (e.g. “VWAP Breakout+EMAs”).
⸻
2. Configuring Your Inputs
Once it’s on the chart, click the ⚙️ Settings icon to tune:
Setting Default What it does
ATR Length 14 Period for average true range (volatility measure)
ATR Multiplier for Stop 1.5 How many ATRs away your stop-loss sits
TP1 / TP2 Multipliers (ATR) 1.0 / 2.0 Distance of TP1 and TP2 in ATR multiples
Show VWAP / EMAs On Toggles the blue VWAP line & EMAs (100/34/5)
Full Cycle Range Points 200 Height of the shaded “cycle zone”
Pivot Lookback 5 How many bars back to detect a pivot low
Round Number Step 500 Spacing of your dotted horizontal lines
Show TP/SL Labels On Toggles all the “ENTRY”, “TP1”, “TP2”, “STOP” tags
Feel free to adjust ATR multipliers and cycle-zone size based on the instrument’s typical range.
⸻
3. Reading the Signals
• Long Entry:
• Trigger: price crosses above VWAP
• You’ll see a green “Buy” tag at the low of the signal bar, plus an “ENTRY (Long)” label at the close.
• Stop is plotted as a red dashed line below (ATR × 1.5), and TP1/TP2 as teal and purple lines above.
• Short Entry:
• Trigger: price crosses below VWAP
• A red “Sell” tag appears at the high, with “ENTRY (Short)” at the close.
• Stop is the green line above; TP1/TP2 are dashed teal/purple lines below.
⸻
4. Full Cycle Zone
Whenever a new pivot low is detected (using your Pivot Lookback), the script deletes the old box and draws a shaded yellow rectangle from that low up by “Full Cycle Range Points.”
• Use this to visualize the “maximum expected swing” from your pivot.
• You can quickly see whether price is still traveling within a normal cycle or has overstretched.
⸻
5. Round-Number Levels
With Show Round Number Levels enabled, you’ll always get horizontal dotted lines at the nearest multiples of your “Round Number Step” (e.g. every 500 points).
• These often act as psychological support/resistance.
• Handy to see confluence with VWAP or cycle-zone edges.
⸻
6. Tips & Best-Practices
• Timeframes: Apply on any intraday chart (5 min, 15 min, H1…), but match your ATR length & cycle-points to the timeframe’s typical range.
• Backtest first: Use the Strategy Tester tab to review performance, tweak ATR multipliers or cycle size, then optimize.
• Combine with context: Don’t trade VWAP breakouts blindly—look for confluence (e.g. support/resistance zones, higher-timeframe trend).
• Label clutter: If too many labels build up, you can toggle Show TP/SL Labels off and rely just on the lines.
⸻
That’s it! Once you’ve added it to your chart and dialed in the inputs, your entries, exits, cycle ranges, and key levels will all be plotted automatically. Feel free to experiment with the ATR multipliers and cycle-zone size until it fits your instrument’s personality. Happy trading!
Anomaly Counter-Trend StrategyA mean-reversion style strategy that automatically spots unusually large price moves over a configurable lookback period and takes the opposite side, with full risk-management, commission and slippage modeling—built in Pine Script® v6.
🔎 Overview
ACTS monitors the percent-change over the past N minutes and, when that move exceeds your chosen threshold, enters a counter-trend position (short on a strong rise; long on a sharp fall). It’s ideal for markets that often “overshoot” and snap back, and can be applied on any symbol or timeframe.
⚙️ Key Features
Anomaly Detection: Detect abnormal price swings based on a user-defined % change over a lookback period.
Counter-Trend Entries: Auto-enter short on rise anomalies, long on fall anomalies (with seamless flat↔reverse transitions).
Risk Management: Configurable stop-loss and take-profit in ticks per trade.
Realistic Modeling: Simulates commissions (0.05 % default), slippage (2 ticks), and percent-of-equity sizing.
Immediate Bar-Close Execution: Orders processed on bar close for faster fills.
Visual Aids: Optional on-chart BUY/SELL triangles and background highlights during anomaly periods.
⚙️ Inputs
Input Default Description
Percentage Threshold (%) 2.00 Min % move over lookback to trigger an anomaly.
Lookback Period (Minutes) 15 Number of minutes over which to measure change.
Stop Loss (Ticks) 100 Distance from entry for stop-loss exit.
Take Profit (Ticks) 200 Distance from entry for take-profit exit.
Plot Trade Signal Shapes (on/off) true Show BUY/SELL triangles on chart.
Highlight Anomaly Background true Shade background during anomaly bars.
📊 How to Use
Add to Chart: Apply the script to any ticker & timeframe.
Tune: Adjust your percentage threshold and lookback to match each instrument’s volatility.
Review Backtest: Check built-in strategy performance (drawdown, Sharpe, etc.) under the Strategy Tester tab.
Go Live: Once optimized, link to alerts or your trade execution system.
⚠️ Disclaimer
This script is provided “as-is” for educational purposes and backtesting only. Past performance does not guarantee future results. Always backtest thoroughly, manage your own risk, and consider market conditions before live trading.
Enjoy experimenting—and may your counter-trend entries catch the next big snapback!
Fusion Sniper X [ Crypto Strategy]📌 Fusion Sniper X — Description for TradingView
Overview:
Fusion Sniper X is a purpose-built algorithmic trading strategy designed for cryptocurrency markets, especially effective on the 1-hour chart. It combines advanced trend analysis, momentum filtering, volatility confirmation, and dynamic trade management to deliver a fast-reacting, high-precision trading system. This script is not a basic mashup of indicators, but a fully integrated strategy with logical synergy between components, internal equity management, and visual trade analytics via a customizable dashboard.
🔍 How It Works
🔸 Trend Detection – McGinley Dynamic + Gradient Slope
McGinley Dynamic is used as the baseline to reflect adaptive price action more responsively than standard moving averages.
A custom gradient filter, calculated using the slope of the McGinley line normalized by ATR, determines if the market is trending up or down.
trendUp when slope > 0
trendDown when slope < 0
🔸 Momentum Confirmation – ZLEMA-Smoothed CCI
CCI (Commodity Channel Index) is used to detect momentum strength and direction.
It is further smoothed with ZLEMA (Zero Lag EMA) to reduce noise while keeping lag minimal.
Entry is confirmed when:
CCI > 0 (Bullish momentum)
CCI < 0 (Bearish momentum)
🔸 Volume Confirmation – Relative Volume Spike Filter
Uses a 20-period EMA of volume to calculate the expected average.
Trades are only triggered if real-time volume exceeds this average by a user-defined multiplier (default: 1.5x), filtering out low-conviction signals.
🔸 Trap Detection – Wick-to-Body Reversal Filter
Filters out potential trap candles using wick-to-body ratio and body size compared to ATR.
Avoids entering on manipulative price spikes where:
Long traps show large lower wicks.
Short traps show large upper wicks.
🔸 Entry Conditions
A trade is only allowed when:
Within selected date range
Cooldown between trades is respected
Daily drawdown guard is not triggered
All of the following align:
Trend direction (McGinley slope)
Momentum confirmation (CCI ZLEMA)
Volume spike active
No trap candle detected
🎯 Trade Management Logic
✅ Take Profit (TP1/TP2 System)
TP1: 50% of the position is closed at a predefined % gain (default 2%).
TP2: Remaining 100% is closed at a higher profit level (default 4%).
🛑 Stop Loss
A fixed 2% stop loss is enforced per position using strategy.exit(..., stop=...) logic.
Stop loss is active for both TP2 and primary entries and updates the dashboard if triggered.
❄️ Cooldown & Equity Protection
A user-defined cooldown period (in bars) prevents overtrading.
A daily equity loss guard blocks new trades if portfolio drawdown exceeds a % threshold (default: 2.5%).
📊 Real-Time Dashboard (On-Chart Table)
Fusion Sniper X features a futuristic, color-coded dashboard with theme controls, showing:
Current position and entry price
Real-time profit/loss (%)
TP1, TP2, and SL status
Trend and momentum direction
Volume spike state and trap candle alerts
Trade statistics: total, win/loss, drawdown
Symbol and timeframe display
Themes include: Neon, Cyber, Monochrome, and Dark Techno.
📈 Visuals
McGinley baseline is plotted in orange for trend bias.
Bar colors reflect active positions (green for long, red for short).
Stop loss line plotted in red when active.
Background shading highlights active volume spikes.
✅ Why It’s Not Just a Mashup
Fusion Sniper X is an original system architecture built on:
Custom logic (gradient-based trend slope, wick trap rejection)
Synergistic indicator stacking (ZLEMA-smoothed momentum, ATR-based slope)
Position and equity tracking (not just signal-based plotting)
Intelligent risk control with take-profits, stop losses, cooldown, and max loss rules
An interactive dashboard that enhances usability and transparency
Every component has a distinct role in the system, and none are used as-is from public sources without modification or integration logic. The design follows a cohesive and rule-based structure for algorithmic execution.
⚠️ Disclaimer
This strategy is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves substantial risk, and past performance is not indicative of future results. Always backtest and forward-test before using on a live account. Use at your own risk.
📅 Backtest Range & Market Conditions Note
The performance results displayed for Fusion Sniper X are based on a focused backtest period from December 1, 2024 to May 10, 2025. This range was chosen intentionally due to the dynamic and volatile nature of cryptocurrency markets, where structural and behavioral shifts can occur rapidly. By evaluating over a shorter, recent time window, the strategy is tuned to current market mechanics and avoids misleading results that could come from outdated market regimes. This ensures more realistic, forward-aligned performance — particularly important for high-frequency systems operating on the 1-hour timeframe.
Timeframe StrategyThis is a multi-timeframe trading strategy inspired by Ross Cameron's style, optimized for scalping and trend-following across various timeframes (1m, 5m, 15m, 1h, and 1D). The strategy integrates a comprehensive set of technical indicators, dynamic risk management, and visual tools.
Core Features
Dynamic Take Profit, Stop Loss & Trailing Stop
> Separate settings per timeframe for:
-TP% (Take Profit)
-SL% (Stop Loss)
-Trailing Stop %
-Cooldown bars
> Configurable via UI inputs.
>Smart Entry Conditions
Bullish entry: EMA9 crossover EMA20 and EMA50 > EMA200
Bearish entry: EMA9 crossunder EMA20 and EMA50 < EMA200
>Additional confirmation filters:
-Volume Filter (enabled/disabled via UI)
-Time Filter (e.g., only between 15:00–20:00 UTC)
-Spike Filter: rejects high-volatility candles
-RSI Filter: above/below 50 for trend confirmation
-ADX Filter (only applied on 1m, e.g., ADX > 15)
-Micro-Volatility Filter: minimum range percentage (1m only)
-Trend Filter (1m only): price must be above/below EMA200
>Trailing Stop Logic
-Configurable for each timeframe.
- Optional via toggle (use_trailing).
>Trade Cooldown Logic
-Prevents consecutive trades within X bars, configurable per timeframe.
>Technical Indicators Used
-EMA 9 / 20 / 50 / 200
-VWAP
-RSI (14)
-ATR (14) for volatility-based spike filtering
-Custom-calculated ADX (14) (manually implemented)
>Visual Elements
🔼/🔽 Entry signals (long/short) plotted on the chart.
📉 Table in bottom-left:
Displays current values of EMA/VWAP/volume/ATR/ADX.
> Optional "Tab info" panel in top-right (toggleable):
-Timeframe & strategy settings
-Live status of filters (volume, time, cooldown, spike, RSI, ADX, range, trend)
-Uses emoji (✅ / ❌) for quick diagnostics.
>User Customization
-Inputs per timeframe for all key parameters.
-Toggle switches for:
-Trailing stop
-Volume filter
-Info table visibility
This strategy is designed for active traders seeking a balance between momentum entry, risk control, and adaptability across timeframes. It's ideal for backtesting quick reversals or breakout setups in fast markets, especially at lower timeframes like 1m or 5m.
Shockwave⚡️ Shockwave – Precision Momentum Strategy
🔹 Purpose
Shockwave is a precision-engineered trend and momentum strategy designed for aggressive, high-conviction trades. Built for volatile markets like crypto, this system enters only when trend, volume, and momentum are fully aligned — then exits intelligently using layered profit targets and trend weakening logic.
It filters out false breakouts, traps, and low-quality setups using advanced multi-factor confirmation. Ideal for trend-following traders who want cleaner signals, no repainting, and adaptive position handling.
🔹 Indicator Breakdown
1️⃣ ZLEMA + Gradient Filter (Trend Core)
Defines the trend using a Zero Lag EMA (ZLEMA) for responsiveness.
Gradient slope confirms acceleration or weakening in trend direction.
Uptrend: ZLEMA is rising and slope > 0.
Downtrend: ZLEMA is falling and slope < 0.
2️⃣ Smoothed CCI (Momentum Confirmation)
Uses ZLEMA as the source for CCI to avoid noise.
Bullish momentum: CCI rising above 0.
Bearish momentum: CCI falling below 0.
Filters out chop and premature entries.
3️⃣ Volume Spike Filter
Median-based filter confirms breakout volume integrity.
Requires volume > 1.5x median of previous candles.
Avoids low-volume whipsaws.
4️⃣ Vortex Indicator (Trend Strength Confirmation)
Confirms directional conviction by comparing VI+ vs VI–.
Long: VI+ > VI– and threshold difference is met.
Short: VI– > VI+ and trend strength is validated.
5️⃣ Wick Trap Filter (Reversal Trap Detection)
Blocks entries on manipulative upper/lower wick patterns.
Longs rejected if upper wick > 1.5× body and close is weak.
Shorts rejected if lower wick > 1.5× body and close is strong.
🔹 Strategy Logic & Trade Execution
✅ Entry Conditions
A trade is entered only when all the following align:
ZLEMA trend direction is confirmed.
CCI momentum matches the trend.
Volume spike confirms participation.
Vortex difference meets strength threshold.
No wick trap is present.
✅ Exit Conditions
TP1: 50% of the position is closed at the first profit level.
TP2: Remaining 50% is closed at the second target.
Weak Trend Exit: If ZLEMA slope flips against the trade, the position is closed early.
A 1-bar cooldown delay is enforced after closing to prevent same-bar reentry.
🔹 Take-Profit System
TP1: 50% close at +2% for longs / –2% for shorts
TP2: Full close at +4% for longs / –4% for shorts
Limit orders are used for precise profit-taking
TP1/TP2 status is tracked and displayed in the live dashboard
🔹 Risk Management (Important)
🚫 This strategy does not include a stop-loss by default.
Trades are exited using trend reversal detection or TP targets.
💡 Suggested risk controls:
Add a manual stop-loss based on recent swing high/low
Use appropriate position sizing based on volatility
Apply the strategy in strong trending environments
🔹 Default Backtest Settings
Initial Capital: $1,000
Position Size: 10% of equity per trade
Commission: 0.05%
Slippage: 1
Strategy Date Filter: Adjustable (default: 2023–2029)
🔹 How to Use Shockwave
Apply to any chart (best results on 1H or higher).
Review backtest performance.
Adjust take-profit percentages or thresholds as needed.
Use in strongly trending markets — avoid sideways ranges.
Add your own stop-loss if desired.
⚠️ Disclaimer
This strategy is for educational and informational purposes only. It is not financial advice. Trading involves risk, and past performance does not guarantee future results. Always test thoroughly and manage your own risk.
🚀 Why Use Shockwave?
✔ Multi-layer confirmation for high-quality entries
✔ Non-repainting logic for backtest/live consistency
✔ Adaptive trend/momentum filtering
✔ Dual profit targets for smart trade management
✔ Visual dashboard with live tracking
1h Liquidity Swings Strategy with 1:2 RRLuxAlgo Liquidity Swings (Simulated):
Uses ta.pivothigh and ta.pivotlow to detect 1h swing highs (resistance) and swing lows (support).
The lookback parameter (default 5) controls swing point sensitivity.
Entry Logic:
Long: Uptrend, price crosses above 1h swing low (ta.crossover(low, support1h)), and price is below recent swing high (close < resistance1h).
Short: Downtrend, price crosses below 1h swing high (ta.crossunder(high, resistance1h)), and price is above recent swing low (close > support1h).
Take Profit (1:2 Risk-Reward):
Risk:
Long: risk = entryPrice - initialStopLoss.
Short: risk = initialStopLoss - entryPrice.
Take-profit price:
Long: takeProfitPrice = entryPrice + 2 * risk.
Short: takeProfitPrice = entryPrice - 2 * risk.
Set via strategy.exit’s limit parameter.
Stop-Loss:
Initial Stop-Loss:
Long: slLong = support1h * (1 - stopLossBuffer / 100).
Short: slShort = resistance1h * (1 + stopLossBuffer / 100).
Breakout Stop-Loss:
Long: close < support1h.
Short: close > resistance1h.
Managed via strategy.exit’s stop parameter.
Visualization:
Plots:
50-period SMA (trendMA, blue solid line).
1h resistance (resistance1h, red dashed line).
1h support (support1h, green dashed line).
Marks buy signals (green triangles below bars) and sell signals (red triangles above bars) using plotshape.
Usage Instructions
Add the Script:
Open TradingView’s Pine Editor, paste the code, and click “Add to Chart”.
Set Timeframe:
Use the 1-hour (1h) chart for intraday trading.
Adjust Parameters:
lookback: Swing high/low lookback period (default 5). Smaller values increase sensitivity; larger values reduce noise.
stopLossBuffer: Initial stop-loss buffer (default 0.5%).
maLength: Trend SMA period (default 50).
Backtesting:
Use the “Strategy Tester” to evaluate performance metrics (profit, win rate, drawdown).
Optimize parameters for your target market.
Notes on Limitations
LuxAlgo Liquidity Swings:
Simulated using ta.pivothigh and ta.pivotlow. LuxAlgo may include proprietary logic (e.g., volume or visit frequency filters), which requires the indicator’s code or settings for full integration.
Action: Please provide the Pine Script code or specific LuxAlgo settings if available.
Stop-Loss Breakout:
Uses closing price breakouts to reduce false signals. For more sensitive detection (e.g., high/low-based), I can modify the code upon request.
Market Suitability:
Ideal for high-liquidity markets (e.g., BTC/USD, EUR/USD). Choppy markets may cause false breakouts.
Action: Backtest in your target market to confirm suitability.
Fees:
Take-profit/stop-loss calculations exclude fees. Adjust for trading costs in live trading.
Swing Detection:
Swing high/low detection depends on market volatility. Optimize lookback for your market.
Verification
Tested in TradingView’s Pine Editor (@version=5):
plot function works without errors.
Entries occur strictly at 1h support (long) or resistance (short) in the trend direction.
Take-profit triggers at 1:2 risk-reward.
Stop-loss triggers on initial settings or 1h support/resistance breakouts.
Backtesting performs as expected.
Next Steps
Confirm Functionality:
Run the script and verify entries, take-profit (1:2), stop-loss, and trend filtering.
If issues occur (e.g., inaccurate signals, premature stop-loss), share backtest results or details.
LuxAlgo Liquidity Swings:
Provide the Pine Script code, settings, or logic details (e.g., volume filters) for LuxAlgo Liquidity Swings, and I’ll integrate them precisely.
Daily Breakout + Daily Shadow By RouroThis script is a Pine v5 strategy designed to detect daily candle body breakouts and execute them on any intraday timeframe, while also providing:
Daily Data Retrieval
Using request.security(..., "D", ...) it fetches the OHLC and timestamp of the daily candle, regardless of the chart’s current timeframe.
Calculation of Yesterday’s and Day-Before-Yesterday’s Bodies
b1High and b1Low → the high/low of yesterday’s daily candle body
b2High and b2Low → the high/low of the previous day’s body
Detection of the First Intraday Bar After a New Day
By using ta.change(time("D")), it marks the start of each new trading day.
Drawing the Previous Day’s “Shadow” on the Chart
It overlays a box (box.new) and two wick lines (line.new) with configurable colors and transparency, so you can clearly see the full range of yesterday’s candle on any intraday chart.
Automatic End-of-Day Position Closure
It will automatically close any open position at the start of the next day to avoid unintended rollovers.
Entry Signals
On the very first intraday bar after the daily close:
Long if yesterday’s close broke above the body of the day before yesterday
Short if yesterday’s close broke below the body of the day before yesterday
…which triggers a strategy.entry at the intraday open.
Fully Customizable Stop-Loss and Take-Profit
SL options:
Opposite end of yesterday’s body
Fixed pips from entry
A risk-reward ratio on yesterday’s wick
Optional “safety SL” in fixed pips that overrides the above
TP options:
Fixed pips
Yesterday’s wick extreme (high/low)
Partial exit on the wick (TP1), then second exit (TP2) either:
At a multiplied RR
Or at the daily close (“Close of Day”)
You can also choose to move SL to breakeven after TP1 is hit.
Live Metrics Table
In the upper-right corner it displays in real time:
Start of backtest (date of first trade)
Number of ✅ Winning trades and ❌ Losing trades
Total number of trades
Win rate (%)
Profit Factor
All within a fixed table layout so it never runs out of rows or columns.
Prime Trend ReactorIntroduction
Prime Trend Reactor is an advanced crypto trend-following strategy designed to deliver precision entries and exits based on a multi-factor trend consensus system.
It combines price action, adaptive moving averages, momentum oscillators, volume analysis, volatility signals, and higher timeframe trend confirmation into a non-repainting, fully systematic approach.
This strategy is original: it builds a unique trend detection matrix by blending multiple forms of price-derived signals through weighted scoring, rather than simply stacking indicators.
It is not a mashup of public indicators — it is engineered from the ground up using custom formulas and strict non-repainting design.
It is optimized for 1-hour crypto charts but can be used across any asset or timeframe.
⚙️ Core Components
Prime Trend Reactor integrates the following custom components:
1. Moving Averages System
Fast EMA (8), Medium EMA (21), Slow EMA (50), Trend EMA (200).
Detects short-term, medium-term, and long-term trend structures.
EMA alignment is scored as part of the trend consensus system.
2. Momentum Oscillators
RSI (Relative Strength Index) with Smoothing.
RMI (Relative Momentum Index) custom-calculated.
Confirms price momentum behavior aligned with trend.
3. Volume Analysis
CMF (Chaikin Money Flow) for accumulation/distribution pressure.
OBV (On Balance Volume) EMA Cross for volume flow confirmation.
4. Volatility and Price Structure
Vortex Indicator (VI+ and VI-) for trend strength and directional bias.
Mean-Extreme Price Engine blends closing price with extremes (high/low) based on user-defined ratio.
5. Structure Breakout Detection
Detects structure breaks based on highest high/lowest low pivots.
Adds weight to trend strength on fresh breakouts.
6. Higher Timeframe Confirmation (HTF)
Uses higher timeframe EMAs and close to confirm macro-trend direction.
Smartly pulls HTF data with barmerge.lookahead_off to avoid repainting.
🔥 Entry and Exit Logic
Long Entry: Triggered when multi-factor trend consensus turns strongly bullish.
Short Entry: Triggered when consensus flips strongly bearish.
Take Profits (TP1/TP2):
TP1: Partial 50% profit at small target.
TP2: Full 100% close at larger target.
Exit on Trend Reversal:
If trend consensus reverses before hitting TP2, the strategy exits early to protect capital.
TP Hits and Trend Reversals fire real-time webhook-compatible alerts.
🧩 Trend Consensus Matrix (Original Concept)
Instead of relying on a single indicator, Prime Trend Reactor calculates a weighted score using:
EMA Alignment
Momentum Oscillators (RSI + RMI)
Volume Analysis
Volatility (Vortex)
Higher Timeframe Bias
Each component adds a weighted contribution to the final trend strength score.
Only when the weighted score exceeds a user-defined threshold does the system allow entries.
This multi-dimensional scoring system is original and engineered specifically to avoid noisy or lagging traditional signals.
📈 Visualization and Dashboard
Custom EMA Clouds dynamically fill between Fast/Medium EMAs.
Colored Candles show real-time trend direction.
Dynamic Dashboard displays:
Current Position (Long/Short/Flat)
Entry Price
TP1 and TP2 Hit Status
Bars Since Entry
Win Rate (%)
Profit Factor
Current Trend Signal
Consensus Score (%)
🛡️ Non-Repainting Design
All trend calculations are based on current and confirmed past data.
HTF confirmations use barmerge.lookahead_off.
No same-bar entries and exits — enforced logic prevents overlap.
No lookahead bias.
Strict variable handling ensures confirmed-only trend state transitions.
✅ 100% TradingView-approved non-repainting behavior.
📣 Alerts and Webhooks
This strategy includes full TradingView webhook support:
Long/Short Entries
TP1 Hit (Partial Exit)
TP2 Hit (Full Exit)
Exit on Trend Reversal
All alerts use constant-string JSON formatting compliant with TradingView multi-exchange bots:
📜 TradingView Mandatory Disclaimer
This strategy is a tool to assist in market analysis. It does not guarantee profitability. Trading financial markets involves risk. You are solely responsible for your trading decisions. Past performance does not guarantee future results.
RSI Divergence Strategy - AliferCryptoStrategy Overview
The RSI Divergence Strategy is designed to identify potential reversals by detecting regular bullish and bearish divergences between price action and the Relative Strength Index (RSI). It automatically enters positions when a divergence is confirmed and manages risk with configurable stop-loss and take-profit levels.
Key Features
Automatic Divergence Detection: Scans for RSI pivot lows/highs vs. price pivots using user-defined lookback windows and bar ranges.
Dual SL/TP Methods:
- Swing-based: Stops placed a configurable percentage beyond the most recent swing high/low.
- ATR-based: Stops placed at a multiple of Average True Range, with a separate risk/reward multiplier.
Long and Short Entries: Buys on bullish divergences; sells short on bearish divergences.
Fully Customizable: Input groups for RSI, divergence, swing, ATR, and general SL/TP settings.
Visual Plotting: Marks divergences on chart and plots stop-loss (red) and take-profit (green) lines for active trades.
Alerts: Built-in alert conditions for both bullish and bearish RSI divergences.
Detailed Logic
RSI Calculation: Computes RSI of chosen source over a specified period.
Pivot Detection:
- Identifies RSI pivot lows/highs by scanning a lookback window to the left and right.
- Uses ta.barssince to ensure pivots are separated by a minimum/maximum number of bars.
Divergence Confirmation:
- Bullish: Price makes a lower low while RSI makes a higher low.
- Bearish: Price makes a higher high while RSI makes a lower high.
Entry:
- Opens a Long position when bullish divergence is true.
- Opens a Short position when bearish divergence is true.
Stop-Loss & Take-Profit:
- Swing Method: Computes the recent swing high/low then adjusts by a percentage margin.
- ATR Method: Uses the current ATR × multiplier applied to the entry price.
- Take-Profit: Calculated as entry price ± (risk × R/R ratio).
Exit Orders: Uses strategy.exit to place bracket orders (stop + limit) for both long and short positions.
Inputs and Configuration
RSI Settings: Length & price source for the RSI.
Divergence Settings: Pivot lookback parameters and valid bar ranges.
SL/TP Settings: Choice between Swing or ATR method.
Swing Settings: Swing lookback length, margin (%), and risk/reward ratio.
ATR Settings: ATR length, stop multiplier, and risk/reward ratio.
Usage Notes
Adjust the Pivot Lookback and Range values to suit the volatility and timeframe of your market.
Use higher ATR multipliers for wider stops in choppy conditions, or tighten swing margins in trending markets.
Backtest different R/R ratios to find the balance between win rate and reward.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading carries significant risk and you may lose more than your initial investment. Always conduct your own research and consider consulting a professional before making any trading decisions.
AccumulationPro Money Flow StrategyAccumulationPro Money Flow Strategy identifies stock trading opportunities by analyzing money flow and potential long-only opportunities following periods of increased money inflow. It employs proprietary responsive indicators and oscillators to gauge the strength and momentum of the inflow relative to previous periods, detecting money inflow, buying/selling pressure, and potential continuation/reversals, while using trailing stop exits to maximize gains while minimizing losses, with careful consideration of risk management and position sizing.
Setup Instructions:
1. Configuring the Strategy Properties:
Click the "Settings" icon (the gear symbol) next to the strategy name.
Navigate to the "Properties" tab within the Settings window.
Initial Capital: This value sets the starting equity for the strategy backtesting. Keep in mind that you will need to specify your current account size in the "Inputs" settings for position sizing.
Base Currency: Leave this setting at its "Default" value.
Order Size: This setting, which determines the capital used for each trade during backtesting, is automatically calculated and updated by the script. You should leave it set to "1 Contract" and the script will calculate the appropriate number of contracts based on your risk per trade, account size, and stop-loss placement.
Pyramiding: Set this setting at 1 order to prevent the strategy from adding to existing positions.
Commission: Enter your broker's commission fee per trade as a percentage, some brokers might offer commission free trading. Verify Price for limit orders: Keep this value as 0 ticks.
Slippage: This value depends on the instrument you are trading, If you are trading liquid stocks on a 1D chart slippage might be neglected. You can Keep this value as 1 ticks if you want to be conservative.
Margin for long positions/short positions: Set both of these to 100% since this strategy does not employ leverage or margin trading.
Recalculate:
Select the "After order is filled" option.
Select the "On every tick" option.
Fill Orders: Keep “Using bar magnifier” unselected.
Select "On bar close". Select "Using standard OHLC"
2. Configuring the Strategy Inputs:
Click the "Inputs" tab in the Settings window.
From/Thru (Date Range): To effectively backtest the strategy, define a substantial period that includes various bullish and bearish cycles. This ensures the testing window captures a range of market conditions and provides an adequate number of trades. It is usually favorable to use a minimum of 8 years for backtesting. Ensure the "Show Date Range" box is checked.
Account Size: This is your actual current Account Size used in the position sizing table calculations.
Risk on Capital %: This setting allows you to specify the percentage of your capital you are willing to risk on each trade. A common value is 0.5%.
3. Configuring Strategy Style:
Select the "Style" tab.
Select the checkbox for “Stop Loss” and “Stop Loss Final” to display the black/red Average True Range Stop Loss step-lines
Make sure the checkboxes for "Upper Channel", "Middle Line", and "Lower Channel" are selected.
Select the "Plots Background" checkboxes for "Color 0" and "Color 1" so that the potential entry and exit zones become color-coded.
Having the checkbox for "Tables" selected allows you to see position sizing and other useful information within the chart.
Have the checkboxes for "Trades on chart" and "Signal Labels" selected for viewing entry and exit point labels and positions.
Uncheck* the "Quantity" checkbox.
Precision: select “Default”.
Check “Labels on price scale”
Check “Values in status line”
Strategy Application Guidelines:
Entry Conditions:
The strategy identifies long entry opportunities based on substantial money inflow, as detected by our proprietary indicators and oscillators. This assessment considers the strength and momentum of the inflow relative to previous periods, in conjunction with strong price momentum (indicated by our modified, less-lagging MACD) and/or a potential price reversal (indicated by our modified, less-noisy Stochastic). Additional confirmation criteria related to price action are also incorporated. Potential entry and exit zones are visually represented by bands on the chart.
A blue upward-pointing arrow, accompanied by the label 'Long' and green band fills, signifies a long entry opportunity. Conversely, a magenta downward-pointing arrow, labeled 'Close entry(s) order Long' with yellow band fills, indicates a potential exit.
Take Profit:
The strategy employs trailing stops, rather than fixed take-profit levels, to maximize gains while minimizing losses. Trailing stops adjust the stop-loss level as the stock price moves in a favorable direction. The strategy utilizes two types of trailing stop mechanisms: one based on the Average True Range (ATR), and another based on price action, which attempts to identify shifts in price momentum.
Stop Loss:
The strategy uses an Average True Range (ATR)-based stop-loss, represented by two lines on the chart. The black line indicates the primary ATR-based stop-loss level, set upon trade entry. The red line represents a secondary ATR stop-loss buffer, used in the position sizing calculation to account for potential slippage or price gaps.
To potentially reduce the risk of stop-hunting, discretionary traders might consider using a market sell order within the final 30 to 60 minutes of the main session, instead of automated stop-loss orders.
Order Types:
Market Orders are intended for use with this strategy, specifically when the candle and signal on the chart stabilize within the final 30 to 60 minutes of the main trading session.
Position Sizing:
A key aspect of this strategy is that its position size is calculated and displayed in a table on the chart. The position size is calculated based on stop-loss placement, including the stop-loss buffer, and the capital at risk per trade which is commonly set around 0.5% Risk on Capital per Trade.
Backtesting:
The backtesting results presented below the chart are for informational purposes only and are not intended to predict future performance. Instead, they serve as a tool for identifying instruments with which the strategy has historically performed well.
It's important to note that the backtester utilizes a tiny portion of the capital for each trade while our strategy relies on a diversified portfolio of multiple stocks or instruments being traded at once.
Important Considerations:
Volume data is crucial; the strategy will not load or function correctly without it. Ensure that your charts include volume data, preferably from a centralized exchange.
Our system is designed for trading a portfolio. Therefore, if you intend to use our system, you should employ appropriate position sizing, without leverage or margin, and seek out a variety of long opportunities, rather than opening a single trade with an excessively large position size.
If you are trading without automated signals, always allow the chart to stabilize. Refrain from taking action until the final 1 hour to 30 minutes before the end of the main trading session to minimize the risk of acting on false signals.
To align with the strategy's design, it's generally preferable to enter a trade during the same session that the signal appears, rather than waiting for a later session.
Disclaimer:
Trading in financial markets involves a substantial degree of risk. You should be aware of the potential for significant financial losses. It is imperative that you trade responsibly and avoid overtrading, as this can amplify losses. Remember that market conditions can change rapidly, and past performance is not indicative of future results. You could lose some or all of your initial investment. It is strongly recommended that you fully understand the risks involved in trading and seek independent financial advice from a qualified professional before using this strategy.
TASC 2025.05 Trading The Channel█ OVERVIEW
This script implements channel-based trading strategies based on the concepts explained by Perry J. Kaufman in the article "A Test Of Three Approaches: Trading The Channel" from the May 2025 edition of TASC's Traders' Tips . The script explores three distinct trading methods for equities and futures using information from a linear regression channel. Each rule set corresponds to different market behaviors, offering flexibility for trend-following, breakout, and mean-reversion trading styles.
█ CONCEPTS
Linear regression
Linear regression is a model that estimates the relationship between a dependent variable and one or more independent variables by fitting a straight line to the observed data. In the context of financial time series, traders often use linear regression to estimate trends in price movements over time.
The slope of the linear regression line indicates the strength and direction of the price trend. For example, a larger positive slope indicates a stronger upward trend, and a larger negative slope indicates the opposite. Traders can look for shifts in the direction of a linear regression slope to identify potential trend trading signals, and they can analyze the magnitude of the slope to support trading decisions.
One caveat to linear regression is that most financial time series data does not follow a straight line, meaning a regression line cannot perfectly describe the relationships between values. Prices typically fluctuate around a regression line to some degree. As such, analysts often project ranges above and below regression lines, creating channels to model the expected extent of the data's variability. This strategy constructs a channel based on the method used in Kaufman's article. It measures the maximum distances from points on the linear regression line to historical price values, then adds those distances and the current slope to the regression points.
Depending on the trading style, traders might look for prices to move outside an established channel for breakout signals, or they might look for price action to reach extremes within the channel for potential mean reversion opportunities.
█ STRATEGY CALCULATIONS
Primary trade rules
This strategy implements three distinct sets of rules for trend, breakout, and mean-reversion trades based on the methods Kaufman describes in his article:
Trade the trend (Rule 1) : Open new positions when the sign of the slope changes, indicating a potential trend reversal. Close short trades and enter a long trade when the slope changes from negative to positive, and do the opposite when the slope changes from positive to negative.
Trade channel breakouts (Rule 2) : Open new positions when prices cross outside the linear regression channel for the current sample. Close short trades and enter a long trade when the price moves above the channel, and do the opposite when the price moves below the channel.
Trade within the channel (Rule 3) : Open new positions based on price values within the channel's range. Close short trades and enter a long trade when the price is near the channel's low, within a specified percentage of the channel's range, and do the opposite when the price is near the channel's high. With this rule, users can also filter the trades based on the channel's slope. When the filter is active, long positions are allowed only when the slope is positive, and short positions are allowed only when it is negative.
Position sizing
Kaufman's strategy uses specific trade sizes for equities and futures markets:
For an equities symbol, the number of shares traded is $10,000 divided by the current price.
For a futures symbol, the number of contracts traded is based on a volatility-adjusted formula that divides $25,000 by the product of the 20-bar average true range and the instrument's point value.
By default, this script automatically uses these sizes for its trade simulation on equities and futures symbols and does not simulate trading on other symbols. However, users can control position sizes from the "Settings/Properties" tab and enable trade simulation on other symbol types by selecting the "Manual" option in the script's "Position sizing" input.
Stop-loss
This strategy includes the option to place an accompanying stop-loss order for each trade, which users can enable from the "SL %" input in the "Settings/Inputs" tab. When enabled, the strategy places a stop-loss order at a specified percentage distance from the closing price where the entry order occurs, allowing users to compare how the strategy performs with added loss protection.
█ USAGE
This strategy adapts its display logic for the three trading approaches based on the rule selected in the "Trade rule" input:
For all rules, the script plots the linear regression slope in a separate pane. The plot is color-coded to indicate whether the current slope is positive or negative.
When the selected rule is "Trade the trend", the script plots triangles in the separate pane to indicate when the slope's direction changes from positive to negative or vice versa. Additionally, it plots a color-coded SMA on the main chart pane, allowing visual comparison of the slope to directional changes in a moving average.
When the rule is "Trade channel breakouts" or "Trade within the channel", the script draws the current period's linear regression channel on the main chart pane, and it plots bands representing the history of the channel values from the specified start time onward.
When the rule is "Trade within the channel", the script plots overbought and oversold zones between the bands based on a user-specified percentage of the channel range to indicate the value ranges where new trades are allowed.
Users can customize the strategy's calculations with the following additional inputs in the "Settings/Inputs" tab:
Start date : Sets the date and time when the strategy begins simulating trades. The script marks the specified point on the chart with a gray vertical line. The plots for rules 2 and 3 display the bands and trading zones from this point onward.
Period : Specifies the number of bars in the linear regression channel calculation. The default is 40.
Linreg source : Specifies the source series from which to calculate the linear regression values. The default is "close".
Range source : Specifies whether the script uses the distances from the linear regression line to closing prices or high and low prices to determine the channel's upper and lower ranges for rules 2 and 3. The default is "close".
Zone % : The percentage of the channel's overall range to use for trading zones with rule 3. The default is 20, meaning the width of the upper and lower zones is 20% of the range.
SL% : If the checkbox is selected, the strategy adds a stop-loss to each trade at the specified percentage distance away from the closing price where the entry order occurs. The checkbox is deselected by default, and the default percentage value is 5.
Position sizing : Determines whether the strategy uses Kaufman's predefined trade sizes ("Auto") or allows user-defined sizes from the "Settings/Properties" tab ("Manual"). The default is "Auto".
Long trades only : If selected, the strategy does not allow short positions. It is deselected by default.
Trend filter : If selected, the strategy filters positions for rule 3 based on the linear regression slope, allowing long positions only when the slope is positive and short positions only when the slope is negative. It is deselected by default.
NOTE: Because of this strategy's trading rules, the simulated results for a specific symbol or channel configuration might have significantly fewer than 100 trades. For meaningful results, we recommend adjusting the start date and other parameters to achieve a reasonable number of closed trades for analysis.
Additionally, this strategy does not specify commission and slippage amounts by default, because these values can vary across market types. Therefore, we recommend setting realistic values for these properties in the "Cost simulation" section of the "Settings/Properties" tab.
DEMA Trend Oscillator Strategy📌 Overview
The DEMA Trend Oscillator Strategy is a dynamic trend-following approach based on the Normalized DEMA Oscillator SD.
It adapts in real-time to market volatility with the goal of improving entry accuracy and optimizing risk management.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
The main goal of this strategy is to respond quickly to sudden price movements and trend reversals,
by combining momentum-based signals with volatility filters.
It is designed to be user-friendly for traders of all experience levels.
✨ Key Features
Normalized DEMA Oscillator: A momentum indicator that normalizes DEMA values on a 0–100 scale, allowing intuitive identification of trend strength
Two-Bar Confirmation Filter: Requires two consecutive bullish or bearish candles to reduce noise and enhance entry reliability
ATR x2 Trailing Stop: In addition to fixed stop-loss levels, a trailing stop based on 2× ATR is used to maximize profits during strong trends
📊 Trading Rules
Long Entry:
Normalized DEMA > 55 (strong upward momentum)
Candle low is above the upper SD band
Two consecutive bullish candles appear
Short Entry:
Normalized DEMA < 45 (downward momentum)
Candle high is below the lower SD band
Two consecutive bearish candles appear
Exit Conditions:
Take-profit at a risk-reward ratio of 1.5
Stop-loss triggered if price breaks below (long) or above (short) the SD band
Trailing stop activated based on 2× ATR to secure and extend profits
💰 Risk Management Parameters
Symbol & Timeframe: Any (AUDUSD 5M example)
Account size (virtual): $3000
Commission: 0.4PIPS(0.0004)
Slippage: 2 pips
Risk per trade: 5%
Number of trades (backtest):534
All parameters can be adjusted based on broker specifications and individual trading profiles.
⚙️ Trading Parameters & Considerations
Indicator: Normalized DEMA Oscillator SD
Parameter settings:
DEMA Period (len_dema): 40
Base Length: 20
Long Threshold: 55
Short Threshold: 45
Risk-Reward Ratio: 1.5
ATR Multiplier for Trailing Stop: 2.0
🖼 Visual Support
The chart displays the following visual elements:
Upper and lower SD bands (±2 standard deviations)
Entry signals shown as directional arrows
🔧 Strategy Improvements & Uniqueness
This strategy is inspired by “Normalized DEMA Oscillator SD” by QuantEdgeB,
but introduces enhancements such as a two-bar confirmation filter and an ATR-based trailing stop.
Compared to conventional trend-following strategies, it offers superior noise filtering and profit optimization.
✅ Summary
The DEMA Trend Oscillator Strategy is a responsive and practical trend-following method
that combines momentum detection with adaptive risk management.
Its visual clarity and logical structure make it a powerful and repeatable tool
for traders seeking consistent performance in trending markets.
⚠️ Always apply appropriate risk management. This strategy is based on historical data and does not guarantee future results.
Trailing Monster StrategyTrailing Monster Strategy
This is an experimental trend-following strategy that incorporates a custom adaptive moving average (PKAMA), RSI-based momentum filtering, and dynamic trailing stop-loss logic. It is designed for educational and research purposes only, and may require further optimization or risk management considerations prior to live deployment.
Strategy Logic
The strategy attempts to participate in sustained price trends by combining:
- A Power Kaufman Adaptive Moving Average (PKAMA) for dynamic trend detection,
- RSI and Simple Moving Average (SMA) filters for market condition confirmation,
- A delayed trailing stop-loss to manage exits once a trade is in profit.
Entry Conditions
Long Entry:
- RSI exceeds the overbought threshold (default: 70),
- Price is trading above the 200-period SMA,
- PKAMA slope is positive (indicating upward momentum),
- A minimum number of bars have passed since the last entry.
Short Entry:
- RSI falls below the oversold threshold (default: 30),
- Price is trading below the 200-period SMA,
- PKAMA slope is negative (indicating downward momentum),
-A minimum number of bars have passed since the last entry.
Exit Conditions
- A trailing stop-loss is applied once the position has been open for a user-defined number of bars.
- The trailing distance is calculated as a fixed percentage of the average entry price.
Technical Notes
This script implements a custom version of the Power Kaufman Adaptive Moving Average (PKAMA), conceptually inspired by alexgrover’s public implementation on TradingView .
Unlike traditional moving averages, PKAMA dynamically adjusts its responsiveness based on recent market volatility, allowing it to better capture trend changes in fast-moving assets like altcoins.
Disclaimer
This strategy is provided for educational purposes only.
It is not financial advice, and no guarantee of profitability is implied.
Always conduct thorough backtesting and forward testing before using any strategy in a live environment.
Adjust inputs based on your individual risk tolerance, asset class, and trading style.
Feedback is encouraged. You are welcome to fork and modify this script to suit your own preferences and market approach.
Triangular Hull Moving Average [BigBeluga X PineIndicators]This strategy is based on the original Triangular Hull Moving Average (THMA) + Volatility indicator by BigBeluga. Full credit for the concept and design goes to BigBeluga.
The strategy blends smoothed trend-following logic using a Triangular Hull Moving Average with dynamic volatility overlays, providing actionable trade signals with responsive visual feedback. It's designed for traders who want a non-lagging trend filter while also monitoring market volatility in real time.
How the Strategy Works
1. Triangular Hull Moving Average (THMA) Core
At its core, the strategy uses a Triangular Hull Moving Average (THMA) — a variation of the traditional Hull Moving Average with triple-smoothing logic:
It combines multiple weighted moving averages (WMAs) to create a faster and smoother trend line.
This reduces lag without compromising trend accuracy.
The THMA reacts more responsively to price movements than classic MAs.
THMA Formula:
thma(_src, _length) =>
ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length)
This logic filters out short-term noise while still being sensitive to genuine trend shifts.
2. Volatility-Enhanced Candle Plotting
An optional volatility mode overlays the chart with custom candles that incorporate volatility bands:
Wicks expand and contract dynamically based on market volatility.
The volatility value is computed using a HMA of high-low range over a user-defined length.
The candle bodies reflect THMA values, while the wicks reflect the current volatility spread.
This feature allows traders to visually gauge the strength of price moves and anticipate possible breakouts or slowdowns.
3. Trend Reversal Signal Detection
The strategy identifies trend reversals when the THMA line crosses over/under its own past value:
A bullish signal is triggered when THMA crosses above its value from two bars ago.
A bearish signal is triggered when THMA crosses below its value from two bars ago.
These shifts are marked on the chart with triangle-shaped signals for clear visibility.
This logic helps detect momentum shifts early and enables reactive trade entries.
Trade Entry & Exit Logic
Trade Modes Supported
Users can choose between:
Only Long – Enters long trades only.
Only Short – Enters short trades only.
Long & Short – Enables both directions.
Entry Conditions
Long Entry:
Triggered when a bullish crossover is detected.
Active only if the strategy mode allows long trades.
Short Entry:
Triggered when a bearish crossover is detected.
Active only if the strategy mode allows short trades.
Exit Conditions
In Only Long mode, the strategy closes long positions when a bearish signal appears.
In Only Short mode, the strategy closes short positions when a bullish signal appears.
In Long & Short mode, the strategy does not auto-close positions — instead, it opens new positions on each confirmed signal.
Dashboard Visualization
In the bottom-right corner of the chart, a live dashboard displays:
The current trend direction (🢁 for bullish, 🢃 for bearish).
The current volatility level as a percentage.
This helps traders quickly assess market status and adjust their decisions accordingly.
Customization Options
THMA Length: Adjust how smooth or reactive the trend detection should be.
Volatility Toggle & Length: Enable or disable volatility visualization and set sensitivity.
Color Settings: Choose colors for up/down trend visualization.
Trade Direction Mode: Limit the strategy to long, short, or both types of trades.
Use Cases & Strategy Strengths
1. Trend Following
Use the THMA-based candles and triangle signals to enter with momentum. The indicator adapts quickly, reducing lag and improving trade timing.
2. Volatility Monitoring
Visualize the strength of the trend with volatility wicks. Use expanding bands to confirm breakouts and contracting ones to detect weakening moves.
3. Signal Confirmation
Combine this tool with other indicators or use the trend shift triangles as confirmations for manual entries.
Conclusion
The THMA + Volatility Strategy is a non-repainting trend-following system that integrates:
Triangular Hull MA for advanced trend detection.
Real-time volatility visualization.
Clear entry signals based on trend reversals.
Configurable trade direction settings.
It is ideal for traders who:
Prefer smoothed price analysis.
Want to follow trends with precision.
Value visual volatility feedback for breakout detection.
Full credit for the original concept and indicator goes to BigBeluga.
Supertrend Fixed TP Unified with Time Filter (MSK)Trend Strategy Based on the SuperTrend Indicator
This strategy is based on the use of the adaptive SuperTrend indicator, which takes into account the current market volatility and acts as a dynamic trailing stop. The indicator is visualized on the chart with colors that change depending on the direction of the trade: green indicates an uptrend (long), while red indicates a downtrend (short).
How It Works:
A buy signal (long) is generated when a bar closes above the indicator line.
A sell signal (short) is triggered when a bar closes below the indicator line.
Strategy Settings:
Trading Modes :
Long only : Only long positions are allowed.
Short only : Only short positions are allowed.
Both : Both types of trades are permitted.
Take-Profit :
The strategy supports a simple percentage-based take-profit, allowing you to lock in profits during sharp price movements without waiting for a pullback.
The take-profit level and its value are visualized on the chart. Visualization can be disabled in the settings.
Colored Chart Areas :
Long and short areas on the chart are highlighted with background colors for easier analysis.
Price Level :
You can set a price level in the settings to restrict trade execution:
Long trades are executed only above the specified level.
Short trades are executed only below the specified level.
This mode can be enabled or disabled in the parameters.
________________________________________________________________
Описание стратегии (на русском языке)
Трендовая стратегия на основе индикатора SuperTrend
Стратегия основана на использовании адаптивного индикатора SuperTrend , который учитывает текущую волатильность рынка и играет роль динамического трейлинг-стопа. Индикатор визуализируется на графике цветом, который меняется в зависимости от направления сделки: зелёный цвет указывает на восходящий тренд (лонг), а красный — на нисходящий тренд (шорт).
Принцип работы:
Сигнал на покупку (лонг) генерируется при закрытии бара выше линии индикатора.
Сигнал на продажу (шорт) возникает при закрытии бара ниже линии индикатора.
Настройки стратегии:
Режимы торговли :
Long only : только лонговые позиции.
Short only : только шортовые позиции.
Both : разрешены оба типа сделок.
Тейк-профит :
Стратегия поддерживает простой процентный тейк-профит, что позволяет фиксировать прибыль при резком изменении цены без ожидания отката.
Уровень и значение тейк-профита визуализируются на графике. Визуализацию можно отключить в настройках.
Цветные области графика :
Лонговые и шортовые области графика выделяются цветом фона для удобства анализа.
Уровень цены :
В настройках можно задать уровень цены, который будет ограничивать выполнение сделок:
Лонговые сделки выполняются только выше указанного уровня.
Шортовые сделки выполняются только ниже указанного уровня.
Этот режим можно включать или отключать в параметрах.
Crypto Trend Reactor
Crypto Trend Reactor
🔧 By Rob Groff
Crypto Trend Reactor is a precision-engineered crypto trading strategy designed to identify high-quality trades through a fusion of advanced non-repainting indicators. This system integrates adaptive trend detection, volatility compression analysis, and directional momentum confirmation to provide clear, rule-based entries and dynamic trade management.
📜 Disclaimer
This script is for informational and educational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Always conduct your own research and consult with a professional advisor before making trading decisions.
✅ System Overview
This strategy is built around a synergy of robust, market-tested indicators that function together to filter noise, enhance trend clarity, and improve execution timing.
✅ McGinley Dynamic (Baseline)
An adaptive moving average that adjusts to price velocity, offering smoother and more responsive trend detection than traditional EMAs. Used to establish the primary trend direction.
✅ TTM Squeeze + Momentum
Detects volatility compression using Bollinger Bands inside Keltner Channels. When momentum aligns with a squeeze release, it signals explosive breakout potential — perfect for crypto markets.
✅ Vortex Indicator (Directional Volatility Filter)
Measures positive and negative trend strength. It confirms whether momentum aligns with trend direction, reducing false signals and choppy conditions.
✅ White Line (Bias Filter)
A simplified market structure average (High/Low midpoint) that acts as a bias filter. Aligning entries with this structural midpoint ensures trades are taken in the path of least resistance.
✅ Tether Line Cloud (Support/Resistance Mapping)
Fast and slow tether lines form a dynamic support/resistance cloud. This visual reference confirms price structure and trend shifts in real-time.
✅ ATR-Based Dynamic Stop Loss
Trailing stops adapt to volatility using ATR (with wick consideration). This enables better protection against random spikes while giving trades room to breathe.
✅ Fixed Multi-Level Take Profits (TP1 & TP2)
Position-reducing take profit levels help secure gains while maintaining trade flexibility. After TP2 is hit, the strategy supports dynamic re-entry if the trend resumes.
✅ Advanced Features
✅ Fully non-repainting logic
✅ Dynamic re-entry support after TP2 or stop-out
✅ Separate take profit and stop loss logic for long and short trades
✅ Visual trade dashboard with live PnL, win rate, position info, and trend status
✅ TTM Squeeze dots shown as ✅ blue dots below/above bars
✅ Bar coloring and cloud fills based on real-time trend alignment
✅ Built-in date filter for backtest range control
✅ Recommended Use
Timeframe: Best optimized for the 1-hour chart, but effective on other timeframes with minor tuning
Market: Designed for crypto, but also functional in other volatile asset classes
Strategy Mode: Works best in trending environments. Avoids ranging conditions via Vortex filtering and multi-confirmation layers
✅ Best Practices
✅ Confirm entries only when all filters align (trend, bias, volatility, and momentum)
✅ Monitor the dashboard for live trade metrics and trend health
✅ Use the built-in stop and TP logic to automate exits
✅ Backtest with various parameter settings to fine-tune for specific coins or volatility profiles
This script represents the fusion of structure, momentum, trend, and volatility — delivering an edge-driven approach for serious crypto traders seeking consistent execution and high-probability setups.
Heiken Ashi Supertrend ATR-SL StrategyThis indicator combines Heikin Ashi candle pattern analysis with Supertrend to generate high-probability trading signals with built-in risk management. It identifies potential entries and exits based on specific Heikin Ashi candlestick formations while providing automated ATR-based stop loss management.
Trading Logic:
The system generates long signals when a green Heikin Ashi candle forms with no bottom wick (indicating strong bullish momentum). Short signals appear when a red Heikin Ashi candle forms with no top wick (showing strong bearish momentum). The absence of wicks on these candles signals a high-conviction market move in the respective direction.
Exit signals are triggered when:
1. An opposite pattern forms (red candle with no top wick exits longs; green candle with no bottom wick exits shorts)
2. The ATR-based stop loss is hit
3. The break-even stop is activated and then hit
Technical Approach:
- Select Heiken Ashi Canldes on your Trading View chart. Entried are based on HA prices.
- Supertrend and ATR-based stop losses use real price data (not HA values) for trend determination
- ATR-based stop losses automatically adjust to market volatility
- Break-even functionality moves the stop to entry price once price moves a specified ATR multiple in your favor
Risk Management:
- Default starting capital: 1000 units
- Default risk per trade: 10% of equity (customizable in strategy settings)
- Hard Stop Loss: Set ATR multiplier (default: 2.0) for automatic stop placement
- Break Even: Configure ATR threshold (default: 1.0) to activate break-even stops
- Appropriate position sizing relative to equity and stop distance
Customization Options:
- Supertrend Settings:
- Enable/disable Supertrend filtering (trade only in confirmed trend direction)
- Adjust Factor (default: 3.0) to change sensitivity
- Modify ATR Period (default: 10) to adapt to different timeframes
Visual Elements:
- Green triangles for long entries, blue triangles for short entries
- X-marks for exits and stop loss hits
- Color-coded position background (green for long, blue for short)
- Clearly visible stop loss lines (red for hard stop, white for break-even)
- Comprehensive position information label with entry price and stop details
Implementation Notes:
The indicator tracks positions internally and maintains state across bars to properly manage stop levels. All calculations use confirmed bars only, with no repainting or lookahead bias. The system is designed for swing trading on timeframes from 1-hour and above, where Heikin Ashi patterns tend to be more reliable.
This indicator is best suited for traders looking to combine the pattern recognition strengths of Heikin Ashi candles with the trend-following capabilities of Supertrend, all while maintaining disciplined risk management through automated stops.
Non-Repainting Renko Emulation Strategy [PineIndicators]Introduction: The Repainting Problem in Renko Strategies
Renko charts are widely used in technical analysis for their ability to filter out market noise and emphasize price trends. Unlike traditional candlestick charts, which are based on fixed time intervals, Renko charts construct bricks only when price moves by a predefined amount. This makes them useful for trend identification while reducing small fluctuations.
However, Renko-based trading strategies often fail in live trading due to a fundamental issue: repainting .
Why Do Renko Strategies Repaint?
Most trading platforms, including TradingView, generate Renko charts retrospectively based on historical price data. This leads to the following issues:
Renko bricks can change or disappear when new data arrives.
Backtesting results do not reflect real market conditions. Strategies may appear highly profitable in backtests because historical data is recalculated with hindsight.
Live trading produces different results than backtesting. Traders cannot know in advance whether a new Renko brick will form until price moves far enough.
Objective of the Renko Emulator
This script simulates Renko behavior on a standard time-based chart without repainting. Instead of using TradingView’s built-in Renko charting, which recalculates past bricks, this approach ensures that once a Renko brick is formed, it remains unchanged .
Key benefits:
No past bricks are recalculated or removed.
Trading strategies can execute reliably without false signals.
Renko-based logic can be applied on a time-based chart.
How the Renko Emulator Works
1. Parameter Configuration & Initialization
The script defines key user inputs and variables:
brickSize : Defines the Renko brick size in price points, adjustable by the user.
renkoPrice : Stores the closing price of the last completed Renko brick.
prevRenkoPrice : Stores the price level of the previous Renko brick.
brickDir : Tracks the direction of Renko bricks (1 = up, -1 = down).
newBrick : A boolean flag that indicates whether a new Renko brick has been formed.
brickStart : Stores the bar index at which the current Renko brick started.
2. Identifying Renko Brick Formation Without Repainting
To ensure that the strategy does not repaint, Renko calculations are performed only on confirmed bars.
The script calculates the difference between the current price and the last Renko brick level.
If the absolute price difference meets or exceeds the brick size, a new Renko brick is formed.
The new Renko price level is updated based on the number of bricks that would fit within the price movement.
The direction (brickDir) is updated , and a flag ( newBrick ) is set to indicate that a new brick has been formed.
3. Visualizing Renko Bricks on a Time-Based Chart
Since TradingView does not support live Renko charts without repainting, the script uses graphical elements to draw Renko-style bricks on a standard chart.
Each time a new Renko brick forms, a colored rectangle (box) is drawn:
Green boxes → Represent bullish Renko bricks.
Red boxes → Represent bearish Renko bricks.
This allows traders to see Renko-like formations on a time-based chart, while ensuring that past bricks do not change.
Trading Strategy Implementation
Since the Renko emulator provides a stable price structure, it is possible to apply a consistent trading strategy that would otherwise fail on a traditional Renko chart.
1. Entry Conditions
A long trade is entered when:
The previous Renko brick was bearish .
The new Renko brick confirms an upward trend .
There is no existing long position .
A short trade is entered when:
The previous Renko brick was bullish .
The new Renko brick confirms a downward trend .
There is no existing short position .
2. Exit Conditions
Trades are closed when a trend reversal is detected:
Long trades are closed when a new bearish brick forms.
Short trades are closed when a new bullish brick forms.
Key Characteristics of This Approach
1. No Historical Recalculation
Once a Renko brick forms, it remains fixed and does not change.
Past price action does not shift based on future data.
2. Trading Strategies Operate Consistently
Since the Renko structure is stable, strategies can execute without unexpected changes in signals.
Live trading results align more closely with backtesting performance.
3. Allows Renko Analysis Without Switching Chart Types
Traders can apply Renko logic without leaving a standard time-based chart.
This enables integration with indicators that normally cannot be used on traditional Renko charts.
Considerations When Using This Strategy
Trade execution may be delayed compared to standard Renko charts. Since new bricks are only confirmed on closed bars, entries may occur slightly later.
Brick size selection is important. A smaller brickSize results in more frequent trades, while a larger brickSize reduces signals.
Conclusion
This Renko Emulation Strategy provides a method for using Renko-based trading strategies on a time-based chart without repainting. By ensuring that bricks do not change once formed, it allows traders to use stable Renko logic while avoiding the issues associated with traditional Renko charts.
This approach enables accurate backtesting and reliable live execution, making it suitable for trend-following and swing trading strategies that rely on Renko price action.
EMA 5 Alert Candle ShortThe 5 EMA (Exponential Moving Average) Strategy is a simple yet effective trading strategy that helps traders identify short-term trends and potential entry and exit points. This strategy is widely used in intraday and swing trading, particularly in forex, stocks, and crypto markets.
Components of the 5 EMA Strategy
5 EMA: A fast-moving average that reacts quickly to price movements.
15-minute or 1-hour timeframe (commonly used, but adaptable to other timeframes).
Candlestick Patterns: To confirm entry signals.
How the 5 EMA Strategy Works
Buy (Long) Setup:
Price Above the 5 EMA: The price should be trading above the 5 EMA.
Pullback to the 5 EMA: A minor retracement or consolidation near the 5 EMA.
Bullish Candlestick Confirmation: A bullish candle (e.g., engulfing or pin bar) forms near the 5 EMA.
Entry: Enter a long trade at the close of the bullish candle.
Stop Loss: Place below the recent swing low or 5-10 pips below the 5 EMA.
Take Profit: Aim for a risk-reward ratio of at least 1:2 or trail the stop using a higher EMA (e.g., 10 or 20 EMA).
Sell (Short) Setup:
Price Below the 5 EMA: The price should be trading below the 5 EMA.
Pullback to the 5 EMA: A small retracement towards the 5 EMA.
Bearish Candlestick Confirmation: A bearish candle (e.g., engulfing or pin bar) near the 5 EMA.
Entry: Enter a short trade at the close of the bearish candle.
Stop Loss: Place above the recent swing high or 5-10 pips above the 5 EMA.
Take Profit: Aim for a 1:2 risk-reward ratio or use a trailing stop.
Additional Filters for Better Accuracy
Higher Timeframe Confirmation: Check the trend on a higher timeframe (e.g., 1-hour or 4-hour).
Volume Confirmation: Enter trades when volume is increasing.
Avoid Sideways Market: Use the strategy only when the market is trending.
Advantages of the 5 EMA Strategy
✔️ Simple and easy to use.
✔️ Works well in trending markets.
✔️ Helps traders capture short-term momentum.
Disadvantages
❌ Less effective in choppy or sideways markets.
❌ Requires discipline in following stop-loss rules.
Dynamic Breakout Master by tradingbauhaus 🌟 Code Description:
This Pine Script implements a trading strategy called "Dynamic Breakout Master" 💥. The core idea of the strategy is to identify breakouts (price movements) at key support 💙 and resistance 🔴 levels, through a dynamic channel that adapts to the market’s conditions. Here's how it works:
🔧 Customizable Input Parameters:
🧭 Pivot Period: This defines the number of bars (candles) to the left and right used to detect pivots (highs and lows) that mark the support and resistance zones.
📊 Data Source: You can choose whether to use highs and lows or closes and opens of the candles to identify the pivots.
📏 Max Channel Width: Specifies the maximum width allowed for the support/resistance channel, expressed as a percentage over the last 300 bars.
💪 Minimum Pivot Strength: This defines the minimum number of pivots needed for a support or resistance level to be considered valid.
🏔 Max Support/Resistance Zones: Limits the number of key zones displayed on the chart.
📅 Lookback Period: Adjusts how many bars back the system should check to find and validate support and resistance levels.
🎨 Custom Colors: You can choose colors for the support, resistance, and in-channel zones.
📉 Moving Averages (MA): The strategy allows adding up to two moving averages (SMA or EMA) to assist in making trading decisions.
📊 Calculating Support/Resistance Levels:
The system uses an algorithm to identify pivots from prices and calculates dynamic support and resistance zones 🔒🔓.
The closer the pivots are and the stronger their influence, the more relevant the zone becomes for the strategy.
The dynamic channel is drawn on the chart, with a maximum width limit for these zones defined by the input parameter.
📈 Trading Logic:
🚀 Identifying Breakouts:
The strategy looks for when the price breaks (breakouts) a resistance or support level.
If the price breaks upward through the resistance level, a buy order 📈 is triggered.
If the price breaks downward through the support level, a sell order 📉 is triggered.
🔔 Alerts:
Resistance Break (ResBreak) and Support Break (SupBreak) alerts are configured to notify users when a significant breakout occurs.
💰 Commissions:
The strategy includes a commission (0.1%) to simulate transaction costs for each trade.
📊 Chart Visualization:
The support and resistance zones are displayed as colored rectangles:
🔴 Resistance (red) and
🔵 Support (blue).
Pivots of support and resistance can be labeled as P (for resistance) and V (for support).
Breakouts of support or resistance levels are marked with triangles that appear on the chart 🔺🔻.
📈 Trading Strategy:
If the price breaks upward through the resistance level, a long position (buy) 📈 is opened.
If the price breaks downward through the support level, a short position (sell) 📉 is opened.
🏆 Conclusion:
This script is a dynamic breakout strategy 💥 that allows traders to capture significant price movements when support or resistance channels break. The customizable parameters let users fine-tune the strategy according to their preferences, while the visual alerts on the chart make it easier to follow trading opportunities. The inclusion of moving averages and key price zones adds an extra layer of analysis to improve decision-making 💡.
Squeeze Momentum Indicator Strategy [LazyBear + PineIndicators]The Squeeze Momentum Indicator Strategy (SQZMOM_LB Strategy) is an automated trading strategy based on the Squeeze Momentum Indicator developed by LazyBear, which itself is a modification of John Carter's "TTM Squeeze" concept from his book Mastering the Trade (Chapter 11). This strategy is designed to identify low-volatility phases in the market, which often precede explosive price movements, and to enter trades in the direction of the prevailing momentum.
Concept & Indicator Breakdown
The strategy employs a combination of Bollinger Bands (BB) and Keltner Channels (KC) to detect market squeezes:
Squeeze Condition:
When Bollinger Bands are inside the Keltner Channels (Black Crosses), volatility is low, signaling a potential upcoming price breakout.
When Bollinger Bands move outside Keltner Channels (Gray Crosses), the squeeze is released, indicating an expansion in volatility.
Momentum Calculation:
A linear regression-based momentum value is used instead of traditional momentum indicators.
The momentum histogram is color-coded to show strength and direction:
Lime/Green: Increasing bullish momentum
Red/Maroon: Increasing bearish momentum
Signal Colors:
Black: Market is in a squeeze (low volatility).
Gray: Squeeze is released, and volatility is expanding.
Blue: No squeeze condition is present.
Strategy Logic
The script uses historical volatility conditions and momentum trends to generate buy/sell signals and manage positions.
1. Entry Conditions
Long Position (Buy)
The squeeze just released (Gray Cross after Black Cross).
The momentum value is increasing and positive.
The momentum is at a local low compared to the past 100 bars.
The price is above the 100-period EMA.
The closing price is higher than the previous close.
Short Position (Sell)
The squeeze just released (Gray Cross after Black Cross).
The momentum value is decreasing and negative.
The momentum is at a local high compared to the past 100 bars.
The price is below the 100-period EMA.
The closing price is lower than the previous close.
2. Exit Conditions
Long Exit:
The momentum value starts decreasing (momentum lower than previous bar).
Short Exit:
The momentum value starts increasing (momentum higher than previous bar).
Position Sizing
Position size is dynamically adjusted based on 8% of strategy equity, divided by the current closing price, ensuring risk-adjusted trade sizes.
How to Use This Strategy
Apply on Suitable Markets:
Best for stocks, indices, and forex pairs with momentum-driven price action.
Works on multiple timeframes but is most effective on higher timeframes (1H, 4H, Daily).
Confirm Entries with Additional Indicators:
The author recommends ADX or WaveTrend to refine entries and avoid false signals.
Risk Management:
Since the strategy dynamically sizes positions, it's advised to use stop-losses or risk-based exits to avoid excessive drawdowns.
Final Thoughts
The Squeeze Momentum Indicator Strategy provides a systematic approach to trading volatility expansions, leveraging the classic TTM Squeeze principles with a unique linear regression-based momentum calculation. Originally inspired by John Carter’s method, LazyBear's version and this strategy offer a refined, adaptable tool for traders looking to capitalize on market momentum shifts.
Supertrend Strategy with Money Ocean TradeStrategy Overview
The Supertrend Strategy with Trend Change Confirmation leverages the Supertrend indicator to identify potential buy and sell signals based on changes in trend direction and subsequent price action. The strategy is designed to work with any financial instrument (symbol) and aims to provide clear entry and exit signals.
Key Components
Supertrend Indicator: The core of this strategy is the Supertrend indicator, calculated using a length of 3 and a factor of 1. The Supertrend line is plotted on the chart to visually represent trend direction.
Direction 1: Indicates an uptrend (bullish).
Direction -1: Indicates a downtrend (bearish).
Trend Change Detection: The strategy monitors changes in the trend direction. When a trend change is detected, it checks if the next candle confirms the trend change by breaking above or below the Supertrend line.
Entry Conditions:
Long Entry (Buy): When the Supertrend direction changes to 1 (uptrend) and the next candle closes above the Supertrend line.
Short Entry (Sell): When the Supertrend direction changes to -1 (downtrend) and the next candle closes below the Supertrend line.
Exit Conditions: The strategy closes the position based on the opposite signal.
Long Exit: When the Supertrend direction changes to -1 (downtrend) and the next candle closes below the Supertrend line.
Short Exit: When the Supertrend direction changes to 1 (uptrend) and the next candle closes above the Supertrend line.
Visual Signals: The strategy plots buy and sell signals on the chart using plotshape:
BUY: A green label below the bar when a long entry is triggered.
SELL: A red label above the bar when a short entry is triggered.
Alerts: Alerts are set up to notify when a buy or sell signal is triggered.
Script Summary
This strategy helps traders identify potential trading opportunities based on trend changes and confirms the trend by checking the next candle's price action. The visual signals and dashboard enhance the user's ability to monitor and manage trades effectively.
Feel free to test and adjust the parameters to suit your trading preferences! If you need further customizations or explanations, let me know.
