Bands and Channels
Dynamic DCA Envelope – Beta V1.1Dynamic DCA Envelope-Beta V1.1 is a preview version of a Dollar-Cost Averaging (DCA) strategy designed for trending or volatile markets.
-Long Positions Only
-Intended for Cryptocurrency, but can be used in any market
-1 and 4 hour timeframe
-Average Commissions 0.1%-0.3% per trade (Cryptocurrency)
What it does:
This strategy identifies buying opportunities when price closes below a dynamic envelope (based on EMA). After 3 consecutive closes below the lower envelope, the system arms a buy condition. A DCA buy-in is triggered when price bounces by a configurable percentage from the trailing low. The strategy supports up to 3 buy-ins, each equally sized, and closes the entire position at a fixed take profit or stop loss.
How it works:
-Entry logic is based on price deviation from an EMA envelope
-Waits for 3 closes below the envelope to detect weakness
-Uses bounce percentage from the lowest point to trigger each buy
-Includes cooldown logic between buys to avoid clustering
-All positions are closed when TP or SL is hit
How to use it:
-Use on trending assets with volatility (e.g., crypto, tech stocks)
-Adjust inputs to match asset behavior:
-EMA Length
-Envelope Offset %
-Bounce % (Trailing DCA)
-Take Profit / Stop Loss
-View strategy performance in the Strategy Tester tab
What’s unique:
Unlike most DCA scripts that immediately average down, this version includes:
-Trigger logic requiring multiple closes below trend
-Bounce-based entry to avoid catching a falling knife
-Cooldown resets to prevent overtrading
-A true entry–wait–buy–reset loop mimicking disciplined execution
*This is a beta version intended as a preview. A full Pro version is in development, which includes:
-SmartScaling logic
-Trailing take profit
-Multi-symbol scanning
-Backtest range limits
-Risk-adjusted filtering
The Real DealThis strategy uses a closed source 3 EMA band, as well as a few other closed source indicators that I prefer no to mention right now. Play with it and tell me what you think. The stock settings are definitely not what I use.
Bollinger Bands SMA 20_2 StrategyMean reversion strategy using Bollinger Bands (20-period SMA with 2.0 standard deviation bands).
Trade Triggers:
🟢 BUY SIGNAL:
When: Price crosses above the lower Bollinger Band
Logic: Price has hit oversold territory and is bouncing back
Action: Places a long position with stop at the lower band
🔴 SELL SIGNAL:
When: Price crosses below the upper Bollinger Band
Logic: Price has hit overbought territory and is pulling back
Action: Places a short position with stop at the upper band
Brain Premium [ALGO]💡 Brain Premium ALGO
Brainpremium ALGO is a strategy algorithm that analyzes a two-phase regional liquidity structure and only opens positions on price breakouts occurring within these liquidity zones.
This system is developed based on the market experience of manual traders and automatically executes trade decisions using AI-like rules and specific triggers.
💡 Two-Phase Liquidity-Based Entry Strategy
This strategy operates by detecting liquidity sweep zones and confirmed reversal signals:
🔹 Phase 1 – Liquidity Sweep:
Price is expected to sweep areas where equal highs/lows or liquidity clusters exist. These zones are considered potential reversal levels.
🔹 Phase 2 – Confirmed Entry:
After liquidity is swept, entries are triggered only by confirmed reversal signals such as structural breaks, inside bars, or breakouts in the opposite direction.
✅ Entries are triggered only when liquidity and reversal confirmation occur simultaneously.
🎯 This approach targets high-probability, low-risk trades.
⚙️ Key Features
🔍 Dynamic Liquidity Detection — Automatically identifies liquidity zones.
🧩 Modular Entry Options (1–2–3) — Allows opening positions via different strategy paths.
🛡️ Dynamic Stop Loss System — Stop Loss adjusts as price moves favorably.
📈 Advanced Risk Management — Adjustable Take Profit, Stop Loss, leverage, balance, and mode.
🔔 JSON Alert Support — Connects to platforms like BingX via webhook.
🧾 Information Panel — Displays real-time trade data and strategy status.
📊 Backtest & Default Settings
Strategy tests are conducted with realistic and sustainable parameters:
Parameter Value
Trading Balance: $100 (%10 of total wallet)
Leverage: 10x
Stop Loss: 1%
Take Profit Type : High TP (optional: Low and Risky also available)
Entry Option 1 (optional: 2 and 3 also available)
Mode: NORMAL
Commission 0.05%
Dynamic Stop Loss: Enabled
Timeframe: 5 minute
Pair ETH/USDT
Duration: 30 days
🧭 Usage Instructions
Add Brain Premium ALGO to your TradingView chart.
Set position size, leverage, and SL/TP levels from the settings panel.
Select entry option (1, 2, or 3).
Activate backtesting and alert systems to monitor the strategy.
⚠️ Disclaimer
This strategy is not financial advice. Past performance does not guarantee future results. Trade only with capital you can afford to risk and always test thoroughly in a demo environment first.
TOT Strategy, The ORB Titan (Configurable)This is a strategy script adapted from Deniscr 's indicator script found here:
All feedback welcome!
Linear Mean Reversion Strategy📘 Strategy Introduction: Linear Mean Reversion with Fixed Stop
This strategy implements a simple yet powerful mean reversion model that assumes price tends to oscillate around a dynamic average over time. It identifies statistically significant deviations from the moving average using a z-score, and enters trades expecting a return to the mean.
🧠 Core Logic:
A z-score is calculated by comparing the current price to its moving average, normalized by standard deviation, over a user-defined half-life window.
Trades are entered when the z-score crosses a threshold (e.g., ±1), signaling overbought or oversold conditions.
The strategy exits positions either when price reverts back near the mean (z-score close to 0), or if a fixed stop loss of 100 points is hit, whichever comes first.
⚙️ Key Features:
Dynamic mean and volatility estimation using moving average and standard deviation
Configurable z-score thresholds for entry and exit
Position size scaling based on z-score magnitude
Fixed stop loss to control risk and avoid prolonged drawdowns
🧪 Use Case:
Ideal for range-bound markets or assets that exhibit stationary behavior around a mean, this strategy is especially useful on assets with mean-reverting characteristics like currency pairs, ETFs, or large-cap stocks. It is best suited for traders looking for short-term reversions rather than long-term trends.
BTC 1m Chop Top/Bottom Reversal (Stable Entries)Strategy Description: BTC 5m Chop Top/Bottom Reversal (Stable Entries)
This strategy is engineered to capture precise reversal points during Bitcoin’s choppy or sideways price action on the 5-minute timeframe. It identifies short-term tops and bottoms using a confluence of volatility bands, momentum indicators, and price structure, optimized for high-probability scalping and intraday reversals.
Core Logic:
Volatility Filter: Uses an EMA with ATR bands to define overextended price zones.
Momentum Divergence: Confirms reversals using RSI and MACD histogram shifts.
Price Action Filter: Requires candle confirmation in the direction of the trade.
Locked Signal Logic: Prevents repaints and disappearing trades by confirming signals only once per bar.
Trade Parameters:
Short Entry: Above upper band + overbought RSI + weakening MACD + bearish candle
Long Entry: Below lower band + oversold RSI + strengthening MACD + bullish candle
Take Profit: ±0.75%
Stop Loss: ±0.4%
This setup is tuned for traders using tight risk control and leverage, where execution precision and minimal drawdown tolerance are critical.
Breackout V8 MomentumBreakout V6 Strategy with Fibonacci TPs
Description
Developed by Coton, this automated trading tool is designed to identify and capitalize on breakouts from consolidation zones, supported by momentum indicators. It leverages technical indicators to detect significant price movements and enters positions with take-profits based on Fibonacci levels and a trailing stop to protect profits. Optimized for crypto trading , it operates in Scalping (1m) or Intraday (5m) modes.
Indicators Used
Volatility Bands : Identify price compression and expansion zones to detect consolidations and breakouts.
Momentum Indicators : Measure the strength and direction of price movements to confirm breakouts.
Volume Indicators : Validate breakouts with significant increases in trading activity.
Dynamic Levels : Define entry and exit points based on adaptive calculations.
Features
Breakout Detection : Identifies exits from consolidation zones with quality filters.
Fibonacci Take-Profits : Profit targets calculated using extension levels to maximize gains.
Trailing Stop : Protects profits by dynamically adjusting the stop-loss based on volatility.
Visualization : Displays consolidation zones, entry levels, stop-losses, and take-profits on the chart.
Alerts : Notifications for confirmed and ongoing breakouts with a minimum risk/reward ratio.
Table : Shows the strategy status and estimated leverage in real-time.
Input Parameters
Trading Mode: Scalping (1m) or Intraday (5m) (default: Intraday)
Fibonacci Level for TP: 1.618 (adjustable 0.5-5.0)
Minimum RR for Alerts: 1.2 (filters alerts)
Alerts
Confirmed Breakout (validated movement with quality criteria).
Ongoing Breakout (tracked with minimum risk/reward ratio, every 5 candles).
Disclaimers
Not financial advice; test in demo mode.
Past performance is not indicative of future results.
High risk in crypto trading; use proper risk management (1-2% per trade).
Commission (0.1%) may impact results; adjust for your broker.
Contact
Coton for questions or improvements.
Dubic EMA StrategyThe Dubic EMA Strategy is a trend-following and volatility-aware strategy that combines dual EMA filters with intelligent range and noise detection to provide clean, actionable entries. It's designed to avoid choppy markets, enhance trade precision, and adapt to different market conditions.
✅ Key Features:
Dual EMA Filter: Enters long when price is above both EMA High & EMA Low, and short when below both.
Range Filter: Avoids entries during tight consolidations or sideways markets.
Volatility Filter: Prevents trading in low-ATR conditions.
Dynamic Risk Management:
ATR-based or fixed % Stop Loss and Take Profit.
Optional Parabolic SAR trailing stop.
One Trade per Trend: Prevents re-entry until trend direction changes.
Unbroken Range Visualization: Detects and displays consolidation zones that can lead to breakouts.
Alerts & Labels: Clean BUY/SELL signals with alerts and chart labels.
🧩 Customization Options:
Adjustable EMA length
Toggle between ATR or % based SL/TP
Volatility threshold
Range detection sensitivity
Enable/disable SAR trailing stop
This strategy works best on trending assets and timeframes with volatility (e.g., crypto, forex, indices). Suitable for both manual trading and automation.
🛠️ Built for clarity, control, and precision.
📈 Backtest, optimize, and deploy with confidence.
CryptoPulseStoch AICryptoPulseStoch AI Strategy
This strategy combines Bollinger Bands, multi-timeframe EMAs (200 and 50), and Stochastic Oscillator for crypto trading signals on the 1-minute timeframe. Long entries trigger on Stochastic %K/%D crossovers in oversold zones with price breaking the lower Bollinger Band and an upward EMA trend; shorts on crossunders in overbought zones with price breaking the upper Bollinger Band and a downward EMA trend. Includes ATR-based risk management, position sizing, and R:R targets. Overlay on any chart; supports leverage (100% margin). Visual lines/labels for TP/SL/entries; alerts for webhooks.
- **Account Balance (Default: 10000)**: Initial balance for calculating risk and position size; increase for larger accounts.
- **BB Length (Default: 20)**: Periods for Bollinger Bands basis and deviation; shorter for more signals, longer for smoothing.
- **BB Multiplier (Default: 2.0)**: Std dev factor for band width; higher widens bands, reducing false breakouts.
- **Stochastic %K Length (Default: 14)**: Periods for Stochastic Oscillator %K calculation; adjust for sensitivity.
- **Stochastic Smooth K (Default: 1)**: Smoothing period for %K; higher values reduce noise.
- **Stochastic Smooth D (Default: 3)**: Smoothing period for %D; higher values smooth the signal line.
- **Overbought Level (Default: 70)**: Stochastic threshold for bearish signals; lower for more frequent signals.
- **Oversold Level (Default: 30)**: Stochastic threshold for bullish signals; higher for more frequent signals.
- **Risk Per Trade (%) (Default: 2.0)**: Account percentage risked per trade; lower for conservative sizing.
- **Risk:Reward Ratio (Default: 6.0)**: Target profit multiple of risk; higher aims for bigger wins.
- **SL Multiplier (Default: 9.0)**: ATR factor for stop loss distance; adjust based on volatility.
- **TP Multiplier (Default: 6.0)**: ATR factor for take profit distance, scaled by R:R; adjust for target distance.
- **Line Length (bars) (Default: 25)**: Bars to extend TP/SL/entry lines; longer for better visibility.
- **Label Position (Default: left)**: Text placement relative to lines (left/right); choose for chart clarity.
- **ATR Period (Default: 14)**: Periods for ATR volatility measure; affects SL, TP, and position size.
- **EMA Timeframe (Default: 5 min)**: Resolution for EMA 200/50 calculation; use lower TFs for finer trend confirmation.
- **Visuals**: BB plots (blue basis, green upper, red lower); EMA200 (red), EMA50 (green); Stochastic %K (blue), %D (orange); red/green lines/labels for sell/buy entries, SL (red), TP (green).
- **Alerts**: Conditions for buy/sell signals with webhook messages for integration (e.g., Bitget).
[Stratégia] VWAP Mean Magnet v2 (VolSzűrő)Ez a stratégia BTC- oldalazó időszakára van kifejlestve 1 perces chartra.
CryptoPulse AI### CryptoPulse AI Strategy
This strategy combines Bollinger Bands, multi-timeframe EMAs (200 and 50), and candlestick wick detection for crypto trading signals. Long entries trigger on downward wicks breaking lower BB with upward EMA trend; shorts on upward wicks breaking upper BB with downward EMA trend. Includes ATR-based risk management, position sizing, and R:R targets. Overlay on any chart; supports leverage (100% margin). Visual lines/labels for TP/SL/entries; alerts for webhooks.
- **Account Balance (Default: 10000)**: Initial balance for calculating risk and position size; increase for larger accounts.
- **BB Length (Default: 20)**: Periods for Bollinger Bands basis and deviation; shorter for more signals, longer for smoothing.
- **BB Multiplier (Default: 2.0)**: Std dev factor for band width; higher widens bands, reducing false breakouts.
- **Wick to Body Ratio (Default: 1.1)**: Min wick size vs. body for valid signals (1.1 = 10% larger); higher requires stronger wicks.
- **Risk Per Trade (%) (Default: 2.0)**: Account percentage risked per trade; lower for conservative sizing.
- **Risk:Reward Ratio (Default: 6.0)**: Target profit multiple of risk; higher aims for bigger wins.
- **SL Multiplier (Default: 9.0)**: ATR factor for stop loss distance; adjust based on volatility.
- **Line Length (bars) (Default: 25)**: Bars to extend TP/SL/entry lines; longer for better visibility.
- **Label Position (Default: left)**: Text placement relative to lines (left/right); choose for chart clarity.
- **ATR Period (Default: 14)**: Periods for ATR volatility measure; affects SL and position size.
- **EMA Timeframe (Default: 5 min)**: Resolution for EMA 200/50 calculation; use lower TFs for finer trend confirmation.
- **Visuals**: BB plots (blue basis, green upper, red lower); EMA200 (red), EMA50 (green); red/green lines/labels for sell/buy entries, SL (red), TP (green).
- **Alerts**: Conditions for buy/sell signals with webhook messages for integration (e.g., Bitget).
4H Bollinger Breakout StrategyThis strategy leverages Bollinger Bands on the 4-hour timeframe for long and short trades in trending or ranging markets. Entries trigger on BB breakouts with optional filters for volume, trend, and RSI. Exits occur on opposite BB crosses. Customizable for long-only, short-only, or indicator mode via code comments. Supports forex, stocks, or crypto with full equity allocation and 0.1% commission.
Length (Default: 20): Period for BB basis and std dev; shorter for sensitivity, longer for smoothing.
Basis MA Type (Default: SMA): Selects MA for middle band (SMA, EMA, etc.); EMA for faster response.
Source (Default: Close): Price input for calculations; use close for standard accuracy.
StdDev Multiplier (Default: 1.8): Band width control; higher for fewer signals, lower for more.
Offset (Default: 0): Shifts BB plots; typically unchanged.
Use Filters (Default: True): Applies volume, trend, RSI checks to filter signals.
Volume MA Length (Default: 20): For volume filter (long: >105% avg, short: >120%).
Trend MA Length (Default: 80): SMA for trend filter (long: above MA, short: below).
RSI Length (Default: 14): For short filter (entry if RSI <85).
Use Long/Short Signals (Defaults: True): Toggles directions; long entry on lower BB crossover, short on upper crossunder.
Visuals: BB plots (blue basis, red upper, green lower), orange trend MA, filled background.
Labels/Alerts: Green/red for long entry/exit, yellow/purple for short; alert conditions included.
Sniper 1.0Overview
The tool is a powerful, real-time trendline-based breakout tool enhanced with RSI confirmation and EMA insights. Designed for scalpers and intraday traders, this script blends smart price action with momentum analytics to help identify high-probability breakout opportunities with precision. tool pridict TOP and BOTTOM easily.
User Benefits
Improved Entry Accuracy: Catch TOP and BOTTOM
Trend Confidence: Visual trendlines adapt in real-time based on ATR slopes.
Multi-Timeframe Insights: Analyze lower timeframe breakouts with 15-minute RSI filtering.
Speed & Clarity: Get directional hints with a color-coded EMA.
Flexible Backpainting: Backtest with dynamic trendlines or forward-only for cleaner real-time visuals.
Key Features
Dynamic Trendlines: Automatically plots real-time up/down trendlines using pivot points and ATR slope mechanics.
Breakout Signals with RSI Confirmation: Identifies breakouts when price crosses trendlines and RSI supports the move.
EMA Trend Filter: Highlights trend strength with EMA and signals momentum shifts.
Custom Timeframe RSI Input: Leverage higher or lower timeframe RSI for added signal filtering.
Alert Ready: Set alerts for bullish or bearish breakouts confirmed by RSI.
Combo 2/20 EMA & Bandpass Filter by TamarokDescription:
This strategy combines a 2/20 exponential moving average (EMA) crossover with a custom bandpass filter to generate buy and sell signals.
Use the Fast EMA and Slow EMA inputs to adjust trend sensitivity, and the Bandpass Filter Length, Delta, and Zones to fine-tune momentum turns.
Signals occur when both EMA and BPF agree in direction, with optional reversal and time filters.
How to use:
1. Add the script to your chart in TradingView.
2. Adjust the EMA and BP Filter parameters to match your asset’s volatility.
3. Enable ‘Reverse Signals’ to trade counter-trend, or use the time filter to limit sessions.
4. Set alerts on Long Alert and Short Alert for automated notifications.
Inspiration:
Based on HPotter’s original combo strategy (Stocks & Commodities Mar 2010).
Updated to Pine Script v6 with streamlined code and alerts.
WARNING:
For purpose educate only
Pro Reversal Strategie - FinalCore Functionality Description
The "Pro Reversal Strategy" script is a comprehensive and highly customizable trading system for TradingView. Its core idea is based on a mean-reversion strategy, which aims to capitalize on price extremes where the price is likely to revert to its statistical mean. This script ist full AI generated. There ist no support and no financial advice.
To identify entry points, the script combines classic indicators like the RSI (to detect overbought and oversold conditions) and Bollinger Bands (to measure volatility extremes).
However, the script's strength lies in its confluence logic: a simple RSI or Bollinger Band signal is not enough to trigger a trade. Instead, a series of filters are applied to enhance the quality of the trade signals. These include:
Trend Filter: Trades are only taken in the direction of the higher-level trend (defined by a 200-period Moving Average).
Volatility and Volume Filter: ADX and volume analysis ensure that the market has sufficient momentum for a move.
Market Structure Analysis: Concepts like Fair Value Gaps (FVG), liquidity zones, and the Volume Profile (VRVP/POC) are used to place trades in high-probability zones.
Momentum Filter: Special "Vector Candles" confirm the strength of buyers or sellers at the moment of the signal.
Furthermore, the script offers advanced features for risk and trade management, including automatic position sizing based on a percentage risk and dynamic exit strategies like a breakeven stop and a trailing stop-loss (Chandelier ATR).
A detailed info panel visualizes all key metrics in real-time directly on the chart. Thanks to its versatile configuration options, the script can be adapted for various trading styles, including swing trading, day trading, and scalping.
Core Strategies & Filters (English)
Here is a breakdown of the specific strategies and confirmation filters used within the script:
RSI Mean Reversion: Uses the Relative Strength Index (RSI) to identify overbought (> rsiSellShort) and oversold (< rsiBuyLong) conditions, which serve as the primary trigger for a potential price reversal.
Bollinger Bands (BB) Volatility Filter: Trades are confirmed when the price touches or exceeds the outer Bollinger Bands. This indicates a move to a statistical extreme in terms of volatility, reinforcing the reversal thesis.
Trend Filter (200 SMA): Ensures that long trades are only considered in a general uptrend (price > SMA 200) and short trades in a downtrend (price < SMA 200), preventing trades against the dominant market direction.
ADX Trend Strength Filter: Utilizes the Average Directional Index (ADX) to confirm that a market is trending with sufficient strength. Trades are filtered out during weak or non-trending phases (adx < adxThreshold).
Volume Profile (VRVP / POC): Analyzes volume at specific price levels to identify high-volume nodes (Point of Control - POC). This acts as a filter to avoid entering trades directly into a zone of strong support or resistance.
Vector Candle Filter: Identifies "Vector Candles" – large, high-volume candles that close strongly near their high (bullish) or low (bearish). This custom filter confirms strong conviction behind the initial reversal signal.
Market Structure (FVG & Liquidity): Incorporates advanced price action concepts. It looks for entries after a liquidity zone above a previous high/low has been tapped (Liquidity Grab) or when price enters a Fair Value Gap (FVG), adding a layer of institutional trading logic.
Chart Pattern Recognition: Optionally identifies classic chart patterns like "W-Patterns" (Double Bottom), "M-Patterns" (Double Top), and Ascending Triangles to provide additional visual confirmation for traders.
Position Sizing (Risk %): Automatically calculates the trade size based on a user-defined percentage of the total equity (riskPct) and the distance to the stop-loss, ensuring consistent risk management for every trade.
Dynamic Exit Management: Implements advanced exit strategies beyond a fixed take-profit. This includes moving the stop-loss to Breakeven after a certain risk-to-reward ratio is met and using a Trailing Stop-Loss (e.g., Chandelier ATR) to lock in profits as a trade develops.
Opening-Range BreakoutNote: Default trading date range looks mediocre. Set date range to "Entire History" to see full effect of the strategy. 50.91% profitable trades, 1.178 profit factor, steady profits and limited drawdown. Total P&L: $154,141.18, Max Drawdown: $18,624.36. High R^2
█ Overview
The Opening-Range Breakout strategy is a mechanical, session‑based day‑trading system designed to capture the initial burst of directional momentum immediately following the market open. It defines a user‑configurable “opening range” window, measures its high and low boundaries, then places breakout stop orders at those levels once the range closes. Built‑in filters on minimum range width, reward‑to‑risk ratios, and optional reversal logic help refine entries and manage risk dynamically.
█ How It Works
Opening‑Range Formation
Between 9:30–10:15 AM ET (configurable), the script tracks the highest high and lowest low to form the day’s opening range box.
On the first bar after the range window closes, the range high (OR_high) and low (OR_low) are “locked in.”
Range‑Width Filter
To avoid false breakouts in low‑volatility mornings, the range must be at least X% of the current price (default 0.35%).
If the measured opening-range width < minimum threshold, no orders are placed that day.
Entry & Order Placement
Long: a stop‑buy order at the opening‑range high.
Short: a stop‑sell order at the opening‑range low.
Only one side can trigger (or both if reverse logic is enabled after a losing trade).
Risk Management
Once triggered, each trade uses an ATR‑style stop-loss defined as a percentage retracement of the range (default 50% of range width).
Profit target is set at a configurable Reward/Risk Ratio (default 1.1×).
Optional: Reverse on Stop‑Loss – if the initial breakout loses, immediately reverse into the opposite side on the same day.
Session Exit
Any open positions are closed at the end of the regular trading day (default 3:45 PM ET window end, with hard flat at session close).
Visual cues are provided via green (range high) and red (range low) step‑line plots directly on the chart, allowing you to see the range box and breakout triggers in real time.
█ Why It Works
Early Momentum Capture: The first 15 – 60 minutes of trading encapsulate overnight news digestion and institutional order flow, creating a well‑defined volatility “range.”
Mechanical Discipline: Clear, rule‑based entries and exits remove emotional guesswork, ensuring consistency.
Volatility Filtering: By requiring a minimum range width, the system avoids choppy, low‑range days where false breakouts are common.
Dynamic Sizing: Stops and targets scale with the opening range, adapting automatically to each day’s volatility environment.
█ How to Use
Set Your Instruments & Timeframe
-Apply to any futures contract on a 1‑ to 5‑minute chart.
-Ensure chart timezone is set to America/New_York.
Configure Inputs
-Opening‑Range Window: e.g. “0930-1015” for a 45‑minute range.
-Min. OR Width (%): e.g. 0.35 for 0.35% of current price.
-Reward/Risk Ratio: e.g. 1.1 for a modest profit target above your stop.
-Max OR Retracement %: e.g. 50 to set stop at 50% of range width.
-One Trade Per Day: toggle to limit to a single breakout.
-Reverse on Stop Loss: toggle to flip direction after a losing breakout.
Monitor the Chart
-Watch the green and red range boundaries form during the session open.
-Orders will automatically submit on the first bar after the range window closes, conditioned on your filters.
Review & Adjust
-Backtest across multiple months to validate performance on your preferred contract.
-Tweak range duration, minimum width, and R/R multiple to fit your risk tolerance and desired win‑rate vs. expectancy balance.
█ Settings Reference
Input Defaults
Opening‑Range Window - Time window to form OR (HHMM-HHMM) - 0930–1015
Regular Trading Day - Full session for EOD flat (HHMM-HHMM) - 0930–1545
Min. OR Width (%) - Minimum OR size as % of close to trigger orders - 0.35
Reward/Risk Ratio - Profit target multiple of stop‑loss distance - 1.1
Max OR Retracement (%) - % of OR width to use as stop‑loss distance - 50
One Trade Per Day - Limit to a single breakout order per day - false
Reverse on Stop Loss - Reverse direction immediately after a losing trade - true
Disclaimer
This strategy description and any accompanying code are provided for educational purposes only and do not constitute financial advice or a solicitation to trade. Futures trading involves substantial risk, including possible loss of capital. Past performance is not indicative of future results. Traders should assess their own risk tolerance and conduct thorough backtesting and forward-testing before committing real capital.
Intraday Combo Strategy HHStochastic RSI Momentum/Reversal quickly identifies overbought/oversold zones
MACD Momentum/Trend confirms a trend reversal, a late but powerful signal
Supertrend Trend Tracking provides clear and concise buy/sell signals
Bollinger Bands Volatility shows price deviation during breakouts/squeezes
ADX Trend Strength measures trend strength to filter out false signals
Setup: Smooth Gaussian + Adaptive Supertrend (Manual Vol)Overview
This strategy combines two powerful trend-based tools originally developed by Algo Alpha: the Smooth Gaussian Trend (simulated) and the Adaptive Supertrend. The objective is to capture sustained bullish movements in periods of controlled volatility by filtering for high-probability entries.
Entry Logic
Long Entry Conditions:
The closing price is above the Smooth Gaussian Trend line (with length = 75), and
The volatility setting from the Adaptive Supertrend is manually defined as either 2 or 3
Exit Condition:
The closing price falls below the Smooth Gaussian Trend line
This script uses a simulated version of the Gaussian Trend line via double-smoothed SMA, as the original Algo Alpha indicator is protected and cannot be accessed directly in code.
Features
Plots entry and exit signals directly on the chart
Manual toggle to enable or disable the volatility filter
Lightweight design to allow flexible backtesting even without access to proprietary indicators
Important Note
This strategy does not connect to the actual Adaptive Supertrend from Algo Alpha. Users must manually input the volatility level based on what they observe on the chart when the original indicator is also applied. The Smooth Gaussian Trend is approximated and may differ slightly from the original.
Suggested Use
Recommended timeframes: 1H, 4H, or Daily
Best used alongside the original indicators displayed on the chart
Consider incorporating additional structure, momentum, or volume filters to enhance performance
If you have suggestions or would like to contribute improvements, feel free to reach out or fork the script.
WaverVanir Alpha Reversal Scalper [ETF Eval Bot]🧠 Strategy Overview:
The WaverVanir Alpha Reversal Scalper is a precision-engineered futures trading bot designed to pass prop firm evaluations, specifically Elite Trader Funding (ETF) via Tradovate integration.
This scalping engine was developed after analyzing over 100+ evaluation trades, and is powered by institutional logic, volume behavior, and adaptive VWAP-based confluence.
🔍 Core Logic:
Directional Bias: Trades long only based on VWAP slope confirmation (to avoid funding-damaging shorts)
Entry Conditions:
Price deviates below VWAP standard deviation
Volume spike exceeds 1.5× 20-period average
Bullish reversal wick detected (smart money pattern)
Exit Management:
Stop Loss: 10-tick precision SL below local low
Take Profit: 2.5R static or dynamic trailing stop
Session Filter: Trades only between 9:00–14:00 ET, avoiding lunch and close traps
📊 Backtest Summary (ESU2025)
Metric Result
Net Profit $9,487.50
Profit Factor 1.66 (longs)
Sharpe Ratio 0.03
Sortino Ratio 0.042
Winning Bias Long-Only
Max Drawdown Under $3,000
Commissions $0 (sim tested)
🧪 Tested across March–July 2025 on CME Mini ES (ESU2025)
🔒 Short trades disabled after review: Net −$7,312.50 loss on shorts alone
✅ Profit factor improves > 60% post-optimization
🔄 Recent Optimizations
❌ Disabled unprofitable short setups
✅ VWAP slope filter added for institutional alignment
✅ Trailing stop logic added (activates after 1.5R)
⏱️ Session filter to reduce market noise
🧠 Designed For:
Passing ETF funding challenges quickly
Avoiding drawdown breaches with controlled risk
Running on TradingView with direct Tradovate integration
🚀 Execution-Ready
This bot runs natively on TradingView. Simply:
Add the Pine Script to your chart
Use a tradable symbol (e.g., ESU2025)
Create an alert using “Order fills”
✅ Enable auto-trading to Tradovate
📡 Learn More
🔗 Powered by VolanX Protocol, the AI-driven infrastructure layer of
🌐 WaverVanir International LLC – where institutional logic meets retail precision.
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🧠 Want to upgrade this bot to include macros, adaptive entries, or launch in NQ/CL?
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AurumFx ATR with EMAThis strategy combines the strength of breakout momentum with trend confirmation for precision entries. It uses a 9-period EMA to define short-term trend bias, while identifying key breakout points using 20-bar highs and lows. Long trades trigger on bullish breakouts above the previous high when price is above the EMA, while shorts trigger on bearish breakdowns below the prior low when price is below the EMA. Designed for traders seeking a simple yet effective trend-following system with clear visual signals and dynamic market adaptation.
StarStrat Ceres Strategy [0.3.1]2025ETH 30M Composite Golden Indicator Trend Strategy
This strategy is designed for Ethereum 30-minute timeframe, utilizing composite golden indicators combined with trend indicators for trade signal identification.
Trading Logic:
- Entry: Triggered when composite golden indicator and trend indicator confirm same direction
- Exit: Partial profit-taking mechanism with customizable parameters for each position
- Risk Management: Built-in risk coefficient, recommended setting at 1%
All key parameters are adjustable to adapt to different trading styles.
Risk Disclaimer: For educational and research purposes only. Not investment advice. Cryptocurrency trading involves high risk, please trade cautiously.






















