Grid Bot - Smart Buy/Tp 💡 Strategy Description
A next-generation auto-grid system that turns volatility into profit. ⚡
This strategy builds a dynamic grid between your defined Upper and Lower limits.
Each grid line acts as a buy zone — the bot automatically opens long positions when price dips to these levels and closes them with Take Profit (TP) targets as price recovers.
It doesn’t predict; it reacts.
By using dynamic position sizing and multi-step TP multipliers, the bot scales entries intelligently, locks profits consistently, and adapts to any price environment. 🌊
==================================================================================
🧠 How It Works
*The bot automatically divides your selected price range into equal grid levels.
*Each grid line acts as a Long entry; once price hits the level, a buy order is triggered.
*A Take Profit target is set automatically above the entry level, using a dynamic TP multiplier based on grid depth.
*A smart bar-control prevents repeated buys on the same level within the same candle.
*The Dynamic Lot Mode increases position size toward the lower levels (buy more when price is cheaper).
*No guessing, no emotions — pure mechanical execution.
==================================================================================
⚙️ Parameters Explained
💼 GENERAL GRID SETTINGS
Grid Count: Number of grid lines between your upper and lower price limits. More grids = tighter spacing.
Upper Limit Price: The highest price level of your grid zone.
Lower Limit Price: The lowest price level of your grid zone.
TP Percent (%): Defines how much profit (in %) each grid aims for before taking profit.
Lot Quantity (Per Grid): The trade size (position quantity) for each grid entry.
⚙️ DYNAMIC LOT MODE SETTINGS
Dynamic Lot Mode
Controls how trade sizes are distributed across the grid. Two options:
• Linear: Gradually increases lot size toward lower grids (buy more when cheaper).
• Step: Uses a manual upper section of grids with smaller lots and larger ones below.
*Use Manual Grid Count in Step Mode
Enables manual control of how many top grids use smaller lot sizes. If disabled, ratio-based logic is used.
-Step: Upper Region Grid Number(for manuel use)
Number of grid lines in the upper zone that should trade with smaller lot sizes (used in manual mode)
-Step: Upper Region Purchase Coefficient
🧩🧩🧩For example, it divides the lot per grid selected above by the ratio you selected here. For example, you selected 1 lot per grid above, 0.50 here, and your step count is 10. It purchases the first 10 grids at 0.50 lots. It reduces the cost of losing at higher levels. (After the 10th grid, the lot is purchased per grid selected above.🧩🧩🧩
---------------------------------------------------------------------------------------------------------------------
-Linear: Min Coefficient Above In Linear mode
Defines the minimum multiplier used for top grids (smaller lots).
-Linear: Min Coefficient Above
In Linear mode, defines the minimum multiplier used for top grids (smaller lots).
🧩🧩🧩For example, your lot per grid is 1 and the minimum linear coefficient above is 0.3 and the maximum linear coefficient is 1. In the first grid above, it writes the purchase as 0.3 lots and starts to increase proportionally downwards and when it reaches the last grid, it buys 1 lot.🧩🧩🧩
🧠 Dynamic mode allows the bot to simulate “buying heavier when price gets cheaper.”
This mimics a natural DCA (Dollar-Cost Averaging) behavior with grid logic.
==================================================================================
🎯 TP MULTIPLIER SETTINGS
-Min TP Multiplier: TP multiplier for top grid levels (closer take-profits).
-Max TP Multiplier: TP multiplier for lower grid levels (further take-profits).
🧩🧩🧩For example, Let's say the TP rate you set above is 2%, the minimum coefficient here is 1%, and your maximum coefficient is 2%. For the first grid, the TP rate is TP rate x minimum coefficient, meaning 1%. From there, the TP rate starts to increase, and by the bottom grid, it becomes 2 x 2, equaling 4%. The main and crucial principle here is to ensure that grids purchased at the top are sold immediately at a lower TP rate, while those purchased at the bottom are sold at higher profit rates.🧩🧩🧩
🎨 DISPLAY SETTINGS
-Show Grid Lines: Enables or disables visual grid lines across the chart.
-Show Side Grid Labels: Displays price and TP information next to each grid level on the right side of the chart.
==================================================================================
📊 PANEL AND VISUAL INTERFACE GUIDE
🟧 GRID BOT PERFORMANCE PANEL
Automatically generated in the top right corner of the chart.
This panel displays the bot's current performance, capital usage, and grid health in real time.
💬 DESCRIPTION
📈 Date Range: Shows the time period during which the strategy was run or tested. It simultaneously goes back as far as TradingView allows.
💰 Initial Balance: The amount of capital at the start of the strategy's test or live phase.
📈 Realized Profit/Loss: The total profit or loss from positions that have reached the TP level so far.
💹 ROI (Return Rate): The ratio of realized profit to initial capital. (Profitability percentage)
💵 Capital Used: The total amount of capital tied up in active grids. (i.e., the amount used in open positions)
📊 Capital Utilization %: The ratio of capital used to total capital. Indicates the bot's risk level.
📈 Current Profit/Loss (Unrealized): The amount of instant profit or loss from open (not yet closed) positions.
🏦 Net Balance (Real Time): Initial balance + realized profit + open position profit/loss = total current balance.
📦 Total Number of Opened Grids: The number of grids that have been activated since the beginning. (i.e., the number of transactions made)
✅ Number of Closed (TP) Grids: The number of grids that have closed by reaching the Take Profit target.
🟡 Active Grid: The number of grids (positions) currently open.
📈 Win Rate: Shows the percentage of opened positions that closed with a profit.
⚙️ Capital Usage %: A metric showing how much total capital the grid system uses.
💰 Required Capital (Total Budget): The total capital required to open all grids based on the selected grid range and lot size.
🟩 GRID HEALTH BAR: A status bar consisting of 10 blocks. Shows the occupancy rate (active grid percentage) based on the number of grids.
🟩 Strong
🟨 Medium
🟥 Overfilled/Risky
💼 ACTIVE GRIDS TABLE
Appears at the bottom of the chart.
This table summarizes the current status of the grids currently open (active) and the TP target for each position.
==================================================================================
🧭 Note:
This strategy does not attempt to predict the future.
It is not an AI, indicator, or prophecy—it simply analyzes the market's natural fluctuations based on past price movements.
⚠️ Warning!!!
This is not investment advice.
Be sure to backtest before using it in real trading.
Optimize the parameters according to your own risk appetite.
Every market condition is different—strategy performance may vary depending on volatility and trading pair.
COMMUNICATION:
ugurarzuman35@gmail.com
x.com/risezarr
حجم التداول
UTFS V2 | QR UTFS V2 | QR
What it is
UTFS V2 | QR is a rules-based trend system that blends three complementary engines into one Trend Probability Index (TPI) and executes long / flat positions directly in the Strategy Tester. It is designed to participate in sustained trends, stand aside during weak/hostile regimes, and present performance/diagnostics in a clean, self-contained chart.
How it works
UTFS V2 builds a single state (Bullish / Bearish / Neutral) from three independent components. Each module produces a +1 (bull), −1 (bear) or 0 (neutral) vote. The TPI is the average of the three votes, then compared to user thresholds for trade decisions.
- AVWO
Compares price to a volume-weighted moving average and measures the percentage deviation.
Uses a dynamic, volatility-scaled threshold (adaptive standard deviation with smoothing) so “over/under” signals expand/contract with regime.
Output: +1 when the positive deviation clears the adaptive upper band; −1 when it clears the lower band.
- ARSI Momentum Filter
Builds an adaptive baseline by blending price with an RSI-derived alpha, then evaluates the % distance from that baseline.
Again gates signals through dynamic, smoothed thresholds to suppress whipsaws.
Output: +1 above the upper adaptive band; −1 below the lower band.
-Median / Volatility Structure (VWMA-Median + ATR/SD)
Defines a trend median (percentile on VWMA) and checks price vs. the median using ATR and standard-deviation bands.
Confirms upside only when price expands beyond ATR and SD gates while VWMA is rising; flags downside when price loses the lower ATR gate.
Output: +1 on confirmed upside expansion; −1 on downside loss; else 0.
Aggregation → TPI
TPI = (AVWO + ARSI + Median/Vol) / 3.
Trade logic (Strategy):
If TPI > T_up → enter / hold Long.
If TPI < T_d → flat (close all).
Defaults : long/flat only (no net short), process orders on close, 1 tick slippage, position sizing as % of equity.
What you see on the chart
TPI Column Plot: green above T_up, red below T_d, gray in between.
Trend-Strength Gauge (table): live “Bullish / Bearish / Do nothing” banner with a compact bar gauge scaled from the normalized TPI.
Optional metrics table (via Rocheur/Metric import): equity curve/PL diagnostics for audit in a clean layout.
Clean layout: the script is self-contained; no other indicators are required to understand or use it.
Visuals
Color mode; show/hide table; display curve selection (equity/open/gross/net) from Metrics.
Backtest window
start / end times to restrict the sample tested.
How to use it (practical workflow)
Timeframe: start on higher timeframes (e.g., 4H/D/W) to reduce noise; then adapt.
Regime filter: respect Neutral (gray) by not forcing trades between thresholds.
Execution: by default the strategy goes Long when TPI is convincingly positive and moves to Cash when negative. If you require hedging/shorts, keep them separate to preserve the system’s logic.
Risk: thresholds control aggressiveness; wider bands (higher multipliers / longer periods) → fewer, more selective trades.
Originality & value (why this is worth using)
Tri-engine consensus: price-to-VWMA deviation (with volume context), RSI-adaptive baseline momentum, and structure/volatility confirmation must agree before exposure.
Regime-aware thresholds: all modules use volatility-scaled, smoothed gates, not fixed lines. This maintains comparability across quiet and hectic markets.
Clean deployment: a single self-contained script renders signal, strength and performance without external charts or links, suitable for a clean publication chart as required.
Limitations & good practices
No strategy is universal; extreme trend persistence can keep TPI pinned, and chop can still produce false starts if you set very tight thresholds.
Inputs are instrument/timeframe-sensitive. Always re-opt for the asset and horizon you trade, and validate on an out-of-sample period.
The built-in position sizing is simple % of equity; match it to your portfolio rules.
Chart-publishing guidance
Publish with a clean chart (avoid stacking other indicators unless necessary).
If you include drawings, use them only to explain how to read TPI thresholds or where a module changed state.
Disclaimer
This script is for research and education only and does not constitute financial advice. Markets involve risk, including loss of principal. Past performance does not predict or guarantee future results. Always test settings on your instrument/timeframe and use appropriate risk management.
Grid Bot - Basic Grid/With Supertrend 💡 Strategy Description
This strategy is an intelligent Grid Bot with a SuperTrend filter that aims to systematically profit from natural price fluctuations.
It automatically opens long positions within the specified upper and lower price ranges and sets take-profit (TP) targets at each level.
The SuperTrend indicator ensures that the system only activates positions in the direction of the trend—creating a structure that works with the trend and protects against reversals.
Positions are opened as the price falls to the lower grid levels, with each grid line followed to the next profit level.
As a result, it focuses on generating sustainable profits from trend-driven wave movements without predicting the direction. ⚡
==================================================================================
🧠 How Does It Work?
*It automatically creates multiple grid lines between your defined upper and lower price range.
*Each grid line acts as a buy zone (Long entry).
*When the price touches a grid level, the bot opens a 🔵 Long (Buy) position.
*For every position, a Take Profit (TP) target is automatically placed a few grids above the entry.
*Once TP is hit, the position closes with profit, freeing that grid for the next opportunity.
*Includes a smart bar-control system that prevents multiple buys on the same grid during a single candle.
*If the SuperTrend indicator on the selected timeframe confirms a bullish trend, the bot activates Long trades only, ensuring trades follow the market direction. ⚡
==================================================================================
⚙️ Parameters Explained
💼 GENERAL GRID SETTINGS
Grid Count: Number of grid lines between your upper and lower price limits. More grids = tighter spacing.
Upper Limit Price: The highest price level of your grid zone.
Lower Limit Price: The lowest price level of your grid zone.
TP Percent (%): Defines how much profit (in %) each grid aims for before taking profit.
Lot Quantity (Per Grid): The trade size (position quantity) for each grid entry.
📈 SUPERTREND SETTINGS
SuperTrend Timeframe: Timeframe used to calculate the SuperTrend direction filter (e.g., 15min, 1H, 4H).
SuperTrend ATR Length: Period used in the SuperTrend calculation — controls how reactive or smooth the trend filter is.
SuperTrend Multiplier: Determines the sensitivity of the SuperTrend line. Higher values = fewer false signals, slower response.
🎨 DISPLAY SETTINGS
Show Grid Lines: Enables or disables visual grid lines across the chart.
Show Side Grid Labels: Displays price and TP information next to each grid level on the right side of the chart.
==================================================================================
📊 PANEL AND VISUAL INTERFACE GUIDE
🟧 GRID BOT PERFORMANCE PANEL
Automatically generated in the top right corner of the chart.
This panel displays the bot's current performance, capital usage, and grid health in real time.
💬 DESCRIPTION
📈 Date Range: Shows the time period during which the strategy was run or tested. It simultaneously goes back as far as TradingView allows.
💰 Initial Balance: The amount of capital at the start of the strategy's test or live phase.
📈 Realized Profit/Loss: The total profit or loss from positions that have reached the TP level so far.
💹 ROI (Return Rate): The ratio of realized profit to initial capital. (Profitability percentage)
💵 Capital Used: The total amount of capital tied up in active grids. (i.e., the amount used in open positions)
📊 Capital Utilization %: The ratio of capital used to total capital. Indicates the bot's risk level.
📈 Current Profit/Loss (Unrealized): The amount of instant profit or loss from open (not yet closed) positions.
🏦 Net Balance (Real Time): Initial balance + realized profit + open position profit/loss = total current balance.
📦 Total Number of Opened Grids: The number of grids that have been activated since the beginning. (i.e., the number of transactions made)
✅ Number of Closed (TP) Grids: The number of grids that have closed by reaching the Take Profit target.
🟡 Active Grid: The number of grids (positions) currently open.
📈 Win Rate: Shows the percentage of opened positions that closed with a profit.
⚙️ Capital Usage %: A metric showing how much total capital the grid system uses.
💰 Required Capital (Total Budget): The total capital required to open all grids based on the selected grid range and lot size.
🟩 GRID HEALTH BAR: A status bar consisting of 10 blocks. Shows the occupancy rate (active grid percentage) based on the number of grids.
🟩 Strong
🟨 Medium
🟥 Overfilled/Risky
💼 ACTIVE GRIDS TABLE
Appears at the bottom of the chart.
This table summarizes the current status of the grids currently open (active) and the TP target for each position.
==================================================================================
🧭 Note:
This strategy does not attempt to predict the future.
It is not an AI, indicator, or prophecy—it simply analyzes the market's natural fluctuations based on past price movements.
⚠️ Warning!!!
This is not investment advice.
Be sure to backtest before using it in real trading.
Optimize the parameters according to your own risk appetite.
Every market condition is different—strategy performance may vary depending on volatility and trading pair.
COMMUNICATION:
ugurarzuman35@gmail.com
x.com/risezarr
Grid Bot - Futures/Long-Short💡 Strategy Description
This strategy is a futures-based grid system that automatically manages both long (buy) and short (sell) positions.
It executes systematic buy and sell trades within a specified upper and lower price range, capitalizing on the price's natural fluctuations.
Each time the price reaches a grid level, the system opens a trade in the corresponding direction and automatically sets a take profit (TP) target until the next grid level.
This means this strategy doesn't attempt to predict market direction—it aims to consistently profit from fluctuations. 🌊
The more volatile the price, the more active and efficient the system operates.
🧠 How Does It Work?
-It takes the Middle Grid level as a reference.
-It opens 🔵 Long (Buy) trades on grids below the center,
-It opens 🔴 Short (Sell) trades on grids above the center.
-Each position automatically sets the upper or lower grid level as the Take Profit (TP) target.
-It includes a smart bar control that prevents repeat purchases on the same grid.
⚙️ PARAMETERS & SETTINGS
🔧 Parameter 💬 Description
-Grid Count: Determines the total number of grids to be drawn. As the number of grids increases, the intervals become narrower, and the trading frequency increases.
-Upper Limit Price (manual_top): This is the upper limit of the grid system. If the price rises above this level, new short trades will not be opened.
-Lower Limit Price (manual_bottom): This is the lower limit of the grid system. If the price falls below this level, new long positions will not be opened.
-Per Grid Lot Quantity (manual_qty): Determines the position size to be opened at each grid level. (e.g., 0.10 = 0.10 lots)
---------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------
📊 PANEL AND VISUAL INTERFACE GUIDE
🟧 GRID BOT PERFORMANCE PANEL
Automatically generated in the top right corner of the chart.
This panel displays the bot's current performance, capital usage, and grid health in real time.
💬 DESCRIPTION
📈 Date Range: Shows the time period during which the strategy was run or tested. It simultaneously goes back as far as TradingView allows.
💰 Initial Balance: The amount of capital at the start of the strategy's test or live phase.
📈 Realized Profit/Loss: The total profit or loss from positions that have reached the TP level so far.
💹 ROI (Return Rate): The ratio of realized profit to initial capital. (Profitability percentage)
💵 Capital Used: The total amount of capital tied up in active grids. (i.e., the amount used in open positions)
📊 Capital Utilization %: The ratio of capital used to total capital. Indicates the bot's risk level.
📈 Current Profit/Loss (Unrealized): The amount of instant profit or loss from open (not yet closed) positions.
🏦 Net Balance (Real Time): Initial balance + realized profit + open position profit/loss = total current balance.
📦 Total Number of Opened Grids: The number of grids that have been activated since the beginning. (i.e., the number of transactions made)
✅ Number of Closed (TP) Grids: The number of grids that have closed by reaching the Take Profit target.
🟡 Active Grid: The number of grids (positions) currently open.
📈 Win Rate: Shows the percentage of opened positions that closed with a profit.
⚙️ Capital Usage %: A metric showing how much total capital the grid system uses.
💰 Required Capital (Total Budget): The total capital required to open all grids based on the selected grid range and lot size.
🟩 GRID HEALTH BAR: A status bar consisting of 10 blocks. Shows the occupancy rate (active grid percentage) based on the number of grids.
🟩 Strong
🟨 Medium
🟥 Overfilled/Risky
💼 ACTIVE GRIDS TABLE
Appears at the bottom of the chart.
This table summarizes the current status of the grids currently open (active) and the TP target for each position.
---------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------
🧭 Note:
This strategy does not attempt to predict the future.
It is not an AI, indicator, or prophecy—it simply analyzes the market's natural fluctuations based on past price movements.
⚠️ Warning!!!
This is not investment advice.
Be sure to backtest before using it in real trading.
Optimize the parameters according to your own risk appetite.
Every market condition is different—strategy performance may vary depending on volatility and trading pair.
COMMUNICATION:
ugurarzuman35@gmail.com
x.com
PulseWhisper AI – Swing Trading Strategy)📌 PulseWhisper AI – Swing Trading Strategy
AI-Powered Elliott Wave Trading for Stocks, Indices & Crypto
PulseWhisper AI is a swing trading strategy that combines Elliott Wave market structure with advanced AI/ML confirmation filters to generate high-probability trade entries and clearly defined exit levels.
This strategy is designed for traders who want precision entries, smart scaling, and disciplined risk management without guesswork.
🔹 CORE CONCEPT
The strategy identifies Elliott Wave patterns (Wave 1–5 & ABC corrections) and times trades during the highest-probability phases (Wave 2 → Wave 3 and Wave C reversals).
To eliminate subjectivity, PulseWhisper AI uses machine learning confirmation filters including:
VWAP & Volume Profile (trend + liquidity confirmation)
RSI & Momentum Divergence
Candle Pattern Recognition
Market Structure (higher highs/lows or lower highs/lows)
AI Probability Scoring (confidence % on each signal)
Only when Elliott Wave structure and AI confirmation agree → a trade signal is generated.
✅ ENTRY LOGIC
Long Entry Example:
Price completes corrective Wave 2 or Wave C
Trend is bullish (above VWAP or higher timeframe trend)
AI confidence is high
Bullish confirmation candle → Buy signal
Short Entry Example:
Price completes corrective rally into Wave 2 or B
Trend is bearish (below VWAP or lower highs/lows)
AI confidence is high
Bearish confirmation candle → Sell signal
🎯 EXIT & TARGETS (Built-In Scaling)
PulseWhisper AI automatically calculates Fibonacci-based take-profit zones:
TP1 (40%): 0.618 Fib extension
TP2 (30%): 1.0 Fib extension
Runner (30%): 1.272 or 1.618 extension (trend continuation)
Stop-loss is based on structure (below Wave low / above swing high or adaptive ATR).
⏱️ RECOMMENDED TIMEFRAMES
Swing Trading:
1H, 2H, 4H, Daily
Optional confirmation from lower timeframes (15m / 30m).
📊 MARKETS SUPPORTED
This strategy works exceptionally well on:
SPX / SPY / ES
QQQ / NQ
Large-cap stocks (NVDA, AMD, AAPL, TSLA, etc.)
Crypto (BTC, ETH)
Forex & Futures
🧠 WHY IT WORKS
Most Elliott Wave traders fail due to subjective wave counts and emotional trading.
PulseWhisper AI solves this by:
✅ Automated wave logic
✅ Objective AI-based confirmations
✅ Pre-programmed scaling exits
✅ Built-in discipline & consistency
🧪 BACKTESTING & OPTIMIZATION
The strategy includes:
Trend filters
Risk management parameters
Multi-timeframe validation
AI confidence threshold
Users can adjust settings to match their risk profile & markets.
⚠️ DISCLAIMER
This script is for educational purposes only and not financial advice.
Past performance does not guarantee future results.
Always use proper risk management.
🚀 FINAL NOTE
PulseWhisper AI is built for traders who want a professional, structured, and AI-enhanced approach to swing trading.
No guessing. No emotions. Just high-probability wave-based setups enhanced by artificial intelligence.
Ride the Wave. Trade with AI Precision.
Rocket Scalper 1.0 Bullish onlyThis is a premium, invite-only strategy designed for high-frequency, bullish micro-scalping. It is engineered to identify and exploit fast continuation moves during peak market activity, prioritizing high win-rate results over high individual R:R targets.
🛡️ The Strategy's Proprietary Edge
The Rocket Scalper 1.0 operates based on three independent, proprietary logic blocks that must align before a trade is considered:
Adaptive Trend Filter: Uses a unique dual-period moving average system to ensure entries are only generated in alignment with the prevailing short-term trend direction.
Market Momentum Validator: A proprietary momentum reading that confirms institutional interest and sufficient price velocity, filtering out slow, choppy movements.
Volume Confirmation Engine: Requires a validated surge in trading volume to confirm the strength and sustainability of the breakout, significantly reducing false signals.
Trade Execution Window: To maximize efficiency and signal quality, trading is strictly limited to the most liquid hours: US Session (8:00 AM - 4:00 PM ET / 12:00 - 20:00 UTC).
💰 Risk Management & Performance Focus
This strategy is built for capital preservation and compounding:
Dynamic Loss Control: Employs an Adaptive ATR Stop Loss that automatically adjusts to current market volatility, ensuring tight, controlled losses. You can fine-tune its tightness using the Vol. SL Multiplier setting.
Dual-Phase Profit System: Positions are split, with the first half securing a 1:1 R target quickly, and the second half utilizing a custom Trailing Stop system to capture extended runs.
Breakeven Security: An optional feature automatically moves the stop to a minimum profit level after a small favorable move, effectively making the trade risk-free.
⚙️ Key Customization Parameters
The strategy includes key adjustable settings for optimization without revealing the core logic: Trend Sensitivity, Vol. SL Multiplier, Trail Multiplier, and Confirmation Threshold.
🔒 Access & Membership Information (Crucial for Stan Store)
This is a premium, invite-only script. Access is granted only upon successful membership application.
To begin the access process and for all membership details, please review the information located in the Author's Signature directly below this description.
Access permissions are granted manually to your TradingView account after verification of your membership.
⚠️ Mandatory Risk Disclaimer
RISK DISCLOSURE: This strategy is provided for educational and informational use only. It does not constitute financial or trading advice, and is not a recommendation to trade any financial instrument. Trading carries a high risk of loss. Consult a professional financial advisor. Past performance is not an indicator of future results. By using this script, you accept full responsibility for all trading decisions.
Short Only Bot (3Commas Webhook Uyumlu)Short işlem açmaya ce 3commans ile uyumlu hacim odaklı indikatör. halka açık herkes kullanabilir.
High Volume Candle Breakouts [Engr. Havery]this plots high volume candles on your chart then when a breakout happens, it gives you an alert then place your limits on the active range. goodluck and have fun
AMF PG Strategy v2.3 The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments.
Key points include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line.
Praetorian Guard – A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clear visual signals and color-coded monitoring for instant decision-making.
This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading.
Disclaimer:
It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user.
Version 2.3: Bugs overlooked in Version 2 have been corrected and improvements have been made.
Triple RSI Strategy @AshokTrendThe Triple RSI Strategy is a trading approach that uses three separate Relative Strength Index (RSI) indicators, typically set to different periods, to generate buy and sell signals with potentially higher accuracy. It aims to filter false signals and improve the probability of successful trades by confirming conditions across multiple timeframes or sensitivity levels.
How the Triple RSI Strategy Works:
Different RSI Periods: Usually set with short, medium, and long periods (e.g., 5, 14, and 30).
Buy Signal: When all three RSIs indicate oversold conditions (below a certain threshold like 30) and show upward momentum.
Sell Signal: When all three RSIs indicate overbought conditions (above a certain threshold like 70) and show downward momentum.
Confirmation: The strategy often confirms signals when the shorter RSI crosses its own previous value or an opposite threshold.
Benefits:
Reduces false signals by requiring multiple conditions.
Suitable for trending or ranging markets, depending on parameters.
Customizable for different assets and timeframes.
Concepts used-
SMC
Trendline Breakout,
Suitable for Long traders.
⦁ Disclaimer: The content in this Article is for educational purposes only and should not be considered financial advice. We are not SEBI-registered advisors. Options trading is highly volatile and carries significant risk. Consult a qualified financial advisor before making any investment decisions.. About Us: We provide educational content on trading strategies and market analysis.
Connect With Us: For business inquiries, email us at: customercare@eamzn.in
For our trading course,
contact us on WhatsApp:
Backtesting Services: We offer strategy backtesting on TradingView.
Contact us for details.
Batman Strategy v1
1. Overview & Core Concept
The "Batman Strategy V1" is a comprehensive trend-following and pyramid-trading framework designed for multiple asset classes. Its core concept is to identify strong, established trends and systematically enter positions in stages (pyramiding) to maximize gains during sustained market movements.
This strategy is built on a proprietary scoring system that synthesizes multiple market dimensions—including stage analysis, relative strength, and volume dynamics—into clear, actionable signals. It is not a simple indicator mashup; it's a complete system with defined entry, exit, and risk management protocols.
2. Key Features
Proprietary Trend Scoring: The strategy grades market conditions from 'A' (strong bull trend) to 'Z' (strong bear trend) using a unique combination of ADX and RSI calculations, providing a nuanced view of trend maturity and strength.
Advanced Relative Strength Analysis: Automatically compares the asset's performance against a relevant market index (e.g., NIFTY for Indian stocks, NDX for US stocks, or a total crypto market cap for crypto) to ensure it is a market leader.
Heikin-Ashi Based Logic: Utilizes Heikin-Ashi candles for its core calculations to filter out market noise and provide smoother trend signals.
Multi-Tranche Pyramiding: The strategy is designed to enter a position with an initial tranche and add up to four subsequent positions if the trend continues favorably, based on a proprietary breakout logic (`ha_close > breakout`).
Dynamic & Multi-Option Exits: Offers three distinct, user-selectable trailing stop mechanisms for exits: SuperTrend, V-Stop, and Chandelier Exit. This allows traders to tailor the exit logic to their risk tolerance and the asset's volatility. The data source for these exits can also be switched between the standard chart and Heikin-Ashi candles.
Integrated Risk Management: Implements a sophisticated stop-loss system that adjusts based on the number of open trades, aiming to move to break-even after the third tranche and protecting capital.
3. How to Use This Strategy
Configuration: In the script settings, first set your desired backtesting date range. Then, configure the "Entry," "Tranching," and "Exit" parameters to suit your trading style. The most important choice is the "Exit Indicator," as this will define how the strategy closes trades.
Interpretation: When applied to a chart, the strategy will plot trend score labels ('A', 'B', 'C' for bullish; 'X', 'Y', 'Z' for bearish), color the background based on relative strength, and color the bars based on volume strength. Backtesting results, including all pyramided trades, will be visible in the "Strategy Tester" panel.
Alerts: The script includes built-in alert conditions for both bullish and bearish trend scores, which can be used to notify you of potential opportunities.
4. Backtesting & Performance
This is a strategy script, and its performance should be thoroughly evaluated in the Strategy Tester. As per TradingView rules, users should use realistic settings for initial capital, commission, and slippage. The default settings are a template; they should be adjusted to reflect the conditions of the market you are testing. Past performance is not indicative of future results.
5. Disclaimer
This strategy is a tool for market analysis and idea validation. It is not financial advice. All trading involves risk, and you should not risk more than you are prepared to lose. This is a closed-source, protected script; its internal calculations are proprietary.
TSI Base BTC 1D /tv! (www.tradingview.com)
# 🧠 TSI Base BTC 1D /tv
## Overview
**TSI Base BTC 1D /tv** is a **trend-following strategy** optimized for **Bitcoin on the 1D timeframe**, though it also performs strongly across other major cryptocurrencies.
It’s designed to identify major directional shifts while filtering out short-term noise, maintaining a balance between **clarity, consistency, and risk control**. The system focuses on staying aligned with large market trends — not chasing every fluctuation — which makes it particularly suited for traders seeking structured, high-integrity signals.
---
## Backtesting & Performance
This strategy has been tested extensively across multiple market cycles. The chosen backtest range — **from 2018 to the present** — is deliberate, as it captures both a full **bear market and bull market phase**, offering a statistically representative view of long-term performance and risk behavior.
We also recommend testing the strategy **from 2023 onward**, covering the ongoing bull run, to evaluate how it adapts to renewed momentum and volatility expansion.
Across both periods, TSI Base BTC 1D /tv demonstrates **consistent profitability**, **contained drawdowns**, and a **disciplined number of trades**, often outperforming a simple buy-and-hold benchmark.
Although primarily designed for **1D charts**, the system can also be applied to shorter timeframes while maintaining its trend-based integrity.
---
## Risk Management Inputs
The strategy includes optional parameters allowing traders to fine-tune risk and reward dynamics while preserving the same core logic:
- **Enable Stop Loss (%)** → activates a protective stop loss. You can freely adjust this percentage; however, using a **6 % Stop Loss** (as shown below) has proven to **increase overall profitability** while keeping the **maximum equity drawdown** close to **11.48 %**, compared to over 12 % without it.
📈 *Example backtest with 6 % Stop Loss enabled (2018 – 2025):*
*(Image below illustrates total P&L, drawdown, and profitable trade ratio.)*
! (<>)
- **Enable Take Profit (%)** → sets a percentage target where profits are automatically secured once reached.
- **Fixed Stop-Loss / Take-Profit Price** → allows absolute price levels (enter “0” to disable).
- **Enable Trailing Stop (%)** → locks in profits by following price movement from the last peak.
> These inputs are optional and should be used experimentally. Each trader can adapt them to their own risk tolerance and market conditions.
---
## Automation
Given its non-repainting design, **automation is highly recommended** for consistent execution.
The strategy can be connected to external automation systems such as **Signum**, which has been tested and confirmed to operate seamlessly.
*(Disclosure: we are not affiliated with Signum or any automation provider. Mentions are purely illustrative and for educational purposes.)*
---
## Trading Philosophy
TSI Base BTC 1D /tv aims to **capture the essence of macro trends** while avoiding emotional over-trading.
It keeps traders positioned during periods of strength and sidelines them during uncertainty, offering a disciplined, data-driven approach to following momentum.
---
## Key Characteristics
- ✅ **No Repainting** — signals confirmed on candle close.
- ✅ **Trend-Based Logic** — trades align with macro directional bias.
- ✅ **Volatility-Adaptive** — dynamic envelopes respond to market expansion and contraction.
- ✅ **Backtest-Proven Stability** — consistent across multiple cycles.
- ✅ **Automation-Ready** — compatible with external trade-execution platforms.
---
⚠️ **Disclaimer:**
This strategy is provided solely for **educational and research purposes**. It does **not constitute financial advice**.
Users are responsible for their own configurations, including Stop Loss, Take Profit, and Trailing Stop settings.
While examples show that enabling a **6 % Stop Loss** can improve historical results and reduce drawdown, performance may vary across assets and timeframes.
Always backtest thoroughly and use demo environments before applying live capital.
VWAP & EMA NQ ScalperThis script is designed for intraday scalping on the CME_MINI:NQ1! and CME_MINI:MNQ1! futures. It combines trend and momentum analysis to provide clear trade signals while incorporating risk management principles suitable for one contract per trade.
Key Features:
-Trend Detection: Uses a combination of EMA fast, EMA slow, and EMA filter to identify the overall market direction.
-VWAP Filter: Confirms that trades align with the volume-weighted average price for better trend accuracy.
-Momentum Confirmation: RSI and MACD indicators help detect overbought/oversold conditions and strong momentum shifts.
-Volume Filter: Optional filter to ensure entries occur only during periods of meaningful market activity.
-Intraday Scalping: Targets short-term price movements with configurable exit strategies including profit target, stop loss, and trailing stop.
-Time Management: Trades only during specified intraday hours with end-of-day automatic position closure.
-Visual Signals: Long/short entries and trend direction are plotted clearly on the chart for quick interpretation.
-Info Panel: Displays current position, P&L, trade count, win rate, RSI, trend, and market status directly on the chart.
Usage Notes:
The script is optimized for intraday trading and scalping. It is intended for educational and analytical purposes; results may vary depending on market conditions.
Users can configure the number of contracts, EMA periods, RSI levels, profit targets, stop losses, and trailing parameters to suit their trading preferences.
Risk Management: Designed to use one contract per trade with realistic slippage (3 points) and commission ($3 per order) to reflect actual trading conditions.
Access Instructions:
This is a closed-source, invite-only script. To request access, please contact the author via private message or send an email at linoilbot1@gmail.com. Access will be granted after verification.
Nifty Options 3Point SL !!Results will Shock u!!OMG!!Based on your specified parameters (angle filter: 30 degrees, EMA: 21, timeframe: 5min) for the Nifty Options Momentum Strategy with LazyBear SQZMOM and custom stop-loss, here’s a structured analysis of how this strategy performs and what you should expect from the results on TradingView or similar platforms.
Parameter Recap
Parameter Value
EMA Length 21
Angle Filter Threshold 30 deg
Timeframe 5 min
Momentum (SQZMOM) Used
Stop Loss Custom, fixed points or ATR based
Typical Strategy Logic
Entry Long: When SQZMOM shows bullish momentum, price is above EMA(21), angle of momentum exceeds +30°, and other filters (e.g., volume) confirm strength.
Entry Short: When SQZMOM turns bearish, price is below EMA(21), angle is less than –30°, and additional confirmations are met.
Stop Loss: Set by custom points or dynamic ATR.
Strategy runs and alerts on all valid entries/exits.
Typical Performance Findings (Backtest Example)
1. Win Rate and ROI
Win rate fluctuates between 50–65% on the 5-minute timeframe, according to most public backtests for SQZMOM strategies with additional filters.
ROI is often in the 10–30% range, but it strongly depends on market conditions and how aggressively stop loss/take profit values are chosen.
2. Trade Frequency
Strategies on 5min BTC USD charts can generate 10–30 trades per week based on volatility.
The angle filter (+30° or –30°) helps reduce false signals and overtrading during chop.
3. Drawdown and Risk
Maximum drawdown can range 6–12% for tighter stop settings.
Using a custom stop-loss (fixed points) caps losses, but may result in early exits in trending markets if set too tight.
4. Example TradingView Result Summary
Metric Result
Total Trades 20–30/week
Win Rate ~60%
Net ROI 10–30%
Max Drawdown 6–12%
Avg. Win/Loss Ratio 1.1–1.3
Strategy Strengths
Momentum + Angle: Combining SQZMOM with an angle filter helps catch only strong momentum, reducing losses from sideways markets.
Alert-Based: Real-time signals (long/short) facilitate easy automation via TradingView alerts or webhooks.
Customizable SL/TP: Adapts to fast or slow markets.
Weaknesses & Warnings
False Signals: Sideways/choppy markets can still trigger losing trades, especially if the angle threshold is set too low.
Stop-Loss Sensitivity: Very tight custom stop-loss can increase losses due to noise. Adaptive ATR-based stop-loss is sometimes preferable.
Optimization Suggestions
Test with trailing stops or dynamic position sizing for smoother equity growth.
Overlay RSI or another momentum filter for additional confirmation.
Run the strategy across different periods (bull/bear/sideways) for robustness.
Analyze trade logs for clustering of losses, which may indicate further filter adjustments are needed.
Explanation of Results
With your settings, the strategy is designed to only take high-probability momentum trades on Nifty Options in the 5-minute chart. The EMA(21) ensures trend alignment; the SQZMOM histogram and angle threshold confirm genuine momentum bursts. Backtest logs typically report moderate trade counts and can provide a solid edge in trending markets, but rapid market reversals can still cause clusters of small stops.
If you share your own TradingView performance summary/stats (performance tab/export), a more tailored statistical breakdown can be provided, including win%, P/L curve, and equity analysis.
This approach is well-documented in high-frequency Nifty Options trading and can serve as a core “momentum breakout” system with sensible risk management..
⦁ Disclaimer: The content in this Article is for educational purposes only and should not be considered financial advice. We are not SEBI-registered advisors. Options trading is highly volatile and carries significant risk. Consult a qualified financial advisor before making any investment decisions.. About Us: We provide educational content on trading strategies and market analysis.
Connect With Us: For business inquiries, email us at: customercare@eamzn.in
For our trading course,
contact us on WhatsApp:
Backtesting Services: We offer strategy backtesting on TradingView.
Contact us for details.
15min ACTIVE Rangeevery 9:30 am New York Time, Gold prints a high Volume 15 min Candle: "ACTIVE RANGE"
Every time gold prints a candle in which it has a higher candle than the current "ACTIVE RANGE" there would be a new "ACTIVE RANGE"
Breakout and retest the ACTIVE Range
NSE/FT/INTRADAYIt combines technical indicators and momentum signals to capture quick price movements while managing risk effectively. The strategy emphasizes fast execution, strict stop-loss placement, and disciplined profit booking, making it suitable for traders who prefer multiple trades within the same day rather than holding overnight positions.
Swing High Low by MIRRORPIPThis strategy finds swing high and lows and marks them as SH and SL respectively.
if the pattern tries to form higher high it will trigger a buy signal
if the pattern tries to form lower low, it will trigger a short signal
This setup is very popular among price action lovers
Apex Squeeze Breakout Strategy [by SKC]This is the official strategy version of the Apex Squeeze Breakout Trading System (v2.5 by SKC) indicator.
🔍 This script replicates the exact logic and trade behavior of the indicator, including:
Multi-factor scoring system (volume spike, squeeze, RSI recovery, momentum breakout, gap)
Supertrend-based trend bias and override logic
ATR-based dynamic SL/TP
Breakeven stop-loss shift after T1 hit
Trade logic works for both swing and day trading styles via a toggle
📈 Settings:
Use isDayTrading = true for 5m/15m charts
Use isDayTrading = false for 1H–Daily swing setups
⚠️ This strategy does not use repainting or offset entries. Backtest results are directly aligned with real-time signals from the original indicator.
✅ Use this strategy to backtest ticker performance, identify high-confidence symbols, and create forward trade plans based on proven edge.
Apex Squeeze Breakout Strategy (v1.0 by SKC)The Apex Squeeze Breakout Strategy is a powerful momentum-based system designed to capture explosive price moves following periods of low volatility compression (squeeze). It combines five key conditions to validate high-probability breakouts:
🔵 TTM Squeeze Detection using Bollinger Bands and Keltner Channels
🔊 Volume Spike Confirmation relative to a moving average
📈 Breakout Trigger above/below a recent high/low range
💪 Momentum Acceleration using percentage change over time
♻️ RSI Recovery / Overbought Logic to confirm shift in strength
The strategy includes:
Configurable swing/day trading modes
Dynamic ATR-based Stop Loss and TP1/TP2 system
Modular input structure for easy customization
Clear entry/exit visual markers and trade zones
It’s designed for disciplined traders who want to catch high-energy moves after consolidation, suitable for both intraday and swing setups.
RSI Momentum ScalperOverview
The "RSI Momentum Scalper" is a Pine Script v5 strategy crafted for trading highly volatile markets, with a special focus on newly listed cryptocurrencies. This strategy harnesses the Relative Strength Index (RSI) alongside volume analysis and momentum thresholds to pinpoint short-term trading opportunities. It supports both long and short trades, managed with customizable take profit, stop loss, and trailing stop levels, which are visually plotted on the chart for easy tracking.
Why I Created This Strategy
I developed the "RSI Momentum Scalper" because I was seeking a reliable trading strategy tailored to newly listed, highly volatile cryptocurrencies. These assets often experience rapid price fluctuations, rendering traditional strategies less effective. I aimed to create a tool that could exploit momentum and volume spikes while managing risk through adaptable exit parameters. This strategy is designed to address that need, offering a flexible approach for traders in dynamic crypto markets.
How It Works
The strategy utilizes RSI to identify momentum shifts, combined with volume confirmation, to trigger long or short entries. Trades are controlled with take profit, stop loss, and trailing stop levels, which adjust dynamically as the price moves in your favor. The trailing stop helps lock in profits, while the plotted exit levels provide clear visual cues for trade management.
Customizable Settings
The script is highly customizable, allowing you to adjust it to various market conditions and trading styles. Here’s a brief overview of the key settings:
Trade Mode: Select "Both," "Long Only," or "Short Only" to determine the trade direction.
(Default: Both)
RSI Length: Sets the lookback period for the RSI calculation (2 to 30).
(Default: 8)
A shorter length increases RSI sensitivity, suitable for volatile assets.
RSI Overbought: Defines the upper RSI threshold (60 to 99) for short entries.
(Default: 90)
Higher values signal stronger overbought conditions.
RSI Oversold: Defines the lower RSI threshold (1 to 40) for long entries.
(Default: 10)
Lower values indicate stronger oversold conditions.
RSI Momentum Threshold: Sets the minimum RSI momentum change (1 to 15) to trigger entries.
(Default: 14)
Adjusts the sensitivity to price momentum.
Volume Multiplier: Multiplies the volume moving average to filter high-volume bars (1.0 to 3.0).
(Default: 1)
Higher values require stronger volume confirmation.
Volume MA Length: Sets the lookback period for the volume moving average (5 to 50).
(Default: 13)
Influences the volume trend sensitivity.
Take Profit %: Sets the profit target as a percentage of the entry price (0.1 to 10.0).
(Default: 4.15)
Determines when to close a winning trade.
Stop Loss %: Sets the loss limit as a percentage of the entry price (0.1 to 6.0).
(Default: 1.85)
Protects against significant losses.
Trailing Stop %: Sets the trailing stop distance as a percentage (0.1 to 4.0).
(Default: 2.55)
Locks in profits as the price moves favorably.
Visual Features
Exit Levels: Take profit (green), fixed stop loss (red), and trailing stop (orange) levels are plotted when in a position.
Performance Table: Displays win rate, total trades, and net profit in the top-right corner.
How to Use
Add the strategy to your chart in TradingView.
Adjust the input settings based on the cryptocurrency and timeframe you’re trading.
Monitor the plotted exit levels for trade management.
Use the performance table to assess the strategy’s performance over time.
Notes
Test the strategy on a demo account or with historical data before live trading.
The strategy is optimized for short-term scalping; adjust settings for longer timeframes if needed.
BOCS Channel Scalper Strategy - Automated Mean Reversion System# BOCS Channel Scalper Strategy - Automated Mean Reversion System
## WHAT THIS STRATEGY DOES:
This is an automated mean reversion trading strategy that identifies consolidation channels through volatility analysis and executes scalp trades when price enters entry zones near channel boundaries. Unlike breakout strategies, this system assumes price will revert to the channel mean, taking profits as price bounces back from extremes. Position sizing is fully customizable with three methods: fixed contracts, percentage of equity, or fixed dollar amount. Stop losses are placed just outside channel boundaries with take profits calculated either as fixed points or as a percentage of channel range.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This strategy is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Version**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the scalper ideal for active day traders who want continuous opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased trade frequency also means higher commission costs and requires tighter risk management.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The strategy normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The strategy tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The strategy uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. This captures mean reversion opportunities as price reaches channel extremes.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents signal spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long signal will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The strategy includes a multi-timeframe ATR filter to avoid trading during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while trading on 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Trading enabled
- If ATR < threshold: No signals fire
This prevents entries during dead zones where mean reversion is unreliable due to insufficient price movement.
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. Larger percentages aim for opposite channel edge.
### Stop Loss Placement:
Stop losses are placed just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. If price breaks through, the range is no longer valid and position exits.
### Trade Execution Logic:
When entry conditions are met (price in zone, cooldown satisfied, ATR filter passed, no existing position):
1. Calculate entry price at zone boundary
2. Calculate TP and SL based on selected method
3. Execute strategy.entry() with calculated position size
4. Place strategy.exit() with TP limit and SL stop orders
5. Update info table with active trade details
The strategy enforces one position at a time by checking strategy.position_size == 0 before entry.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
### Position Sizing System:
Three methods calculate position size:
**Fixed Contracts**:
- Uses exact contract quantity specified in settings
- Best for futures traders (e.g., "trade 2 NQ contracts")
**Percentage of Equity**:
- position_size = (strategy.equity × equity_pct / 100) / close
- Dynamically scales with account growth
**Cash Amount**:
- position_size = cash_amount / close
- Maintains consistent dollar exposure regardless of price
## INPUT PARAMETERS:
### Position Sizing:
- **Position Size Type**: Choose Fixed Contracts, % of Equity, or Cash Amount
- **Number of Contracts**: Fixed quantity per trade (1-1000)
- **% of Equity**: Percentage of account to allocate (1-100%)
- **Cash Amount**: Dollar value per position ($100+)
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long entries on/off
- **Enable Short Scalps**: Toggle short entries on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between signals (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for trade enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time strategy status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Color Settings**: Customize long/short/TP/SL colors
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short entries
- **Active TP/SL lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing position status, channel state, last signal, entry/TP/SL prices, and ATR status
## HOW TO USE:
### For 1-3 Minute Scalping (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars
- Position Size: 1-2 contracts
### For 5-15 Minute Day Trading:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- Position Size: Fixed contracts or 5-10% equity
### For 30-60 Minute Swing Scalping:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- Position Size: % of equity recommended
## BACKTEST CONSIDERATIONS:
- Strategy performs best in ranging, mean-reverting markets
- Strong trending markets produce more stop losses as price breaks channels
- ATR filter significantly reduces trade count but improves quality during low volatility
- Cooldown period trades signal quantity for signal quality
- Commission and slippage materially impact sub-5-minute timeframe performance
- Shorter timeframes require tighter entry zones (15-20%) to catch quick reversions
- % of Channel TP adapts better to varying channel sizes than fixed points
- Fixed contract sizing recommended for consistent risk per trade in futures
**Backtesting Parameters Used**: This strategy was developed and tested using realistic commission and slippage values to provide accurate performance expectations. Recommended settings: Commission of $1.40 per side (typical for NQ futures through discount brokers), slippage of 2 ticks to account for execution delays on fast-moving scalp entries. These values reflect real-world trading costs that active scalpers will encounter. Backtest results without proper cost simulation will significantly overstate profitability.
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features require data feed with volume information but are optional for core functionality.
## KNOWN LIMITATIONS:
- Immediate touch entry can fire multiple times in choppy zones without adequate cooldown
- Channel deletion at 10-tick breaks may be too aggressive or lenient depending on instrument tick size
- ATR filter from lower timeframes requires higher-tier TradingView subscription (request.security limitation)
- Mean reversion logic fails in strong breakout scenarios leading to stop loss hits
- Position sizing via % of equity or cash amount calculates based on close price, may differ from actual fill price
- No partial closing capability - full position exits at TP or SL only
- Strategy does not account for gap openings or overnight holds
## RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance does not guarantee future results. This strategy is for educational purposes and backtesting only. Mean reversion strategies can experience extended drawdowns during trending markets. Stop losses may not fill at intended levels during extreme volatility or gaps. Thoroughly test on historical data and paper trade before risking real capital. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Automated trading systems can malfunction - monitor all live positions actively.
## ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based signals, multi-timeframe ATR volatility filtering, flexible position sizing (fixed/percentage/cash), cooldown period filtering, dual TP methods (fixed points vs channel percentage), automated strategy execution with exit management, and real-time position monitoring table.
Elite Momentum Scalper🎯 Perfect For
Scalpers Who Want:
Quick In-and-Out Trades: Designed for 1-15 minute timeframes but works very well on the higer timeframes. Especiall Designed for : Indices ie NAS100 SPX in the New York Session but does work in London session also.
High Win Rate: Multiple confirmations reduce false signals
Consistent Risk: Same risk per trade, every trade
Clean Charts: No indicator spaghetti, just clear signals
Best Markets: Indices ie NAS100 SPX New York Session
Forex Majors: EUR/USD, GBP/USD, USD/JPY
Precious Metals: XAU/USD (Gold), XAG/USD (Silver)
Crypto: BTC/USD, ETH/USD (works 24/7)
Indices: SPX, NAS, DAX during active sessions
Optimal Timeframes:
Primary: 5-minute, 15-minute charts
Works On: Any timeframe (auto-adjusts)
Session-Aware: Best during London/NY overlap
🚨 Built-in Alerts
Never miss a trade:
Entry Alerts: "LONG ENTRY at 1.2345 SL: 1.2300 TP: 1.2400"
Exact Levels: Includes entry, stop, and target prices
Mobile Friendly: Works with TradingView mobile alerts
💡 Pro Tips for Best Results
Setup Recommendations:
Start Conservative: Begin with 1% risk per trade
Respect Sessions: Best results during London/NY hours
Don't Override: Let the cooldown system work
Monitor Dashboard: Keep an eye on daily trade count
Backtest First: Test on historical data before live trading
Risk Management:
Never risk more than you can afford to lose
Use proper position sizing (built-in calculator)
Respect the stop losses (they're there for a reason)
Monitor during high-impact news events
🏆 Why The Elite One?
Based on Fabio Valentini's proven #1 scalper methodology, this isn't just another indicator—it's a complete trading system that:
✅ Eliminates Guesswork: Exact entry, stop, and target levels
✅ Manages Risk: Built-in position sizing and risk management
✅ Prevents Overtrading: Smart cooldown system
✅ Adapts to Markets: ATR-based levels adjust to volatility
✅ Saves Time: All information in one clean dashboard
✅ Works Anywhere: Any market, any timeframe
✅ Stays Clean: No chart clutter, just actionable signals
Join thousands of traders who've upgraded their scalping game with the world's #1 scalper's methodology, refined into institutional-grade precision with retail-friendly execution.
⚠️ Important Disclaimers
Past performance does not guarantee future results
Trading involves substantial risk of loss
Test thoroughly on demo accounts first
Consider broker spreads in your calculations
Not financial advice - trade at your own risk
📈 Ready to Transform Your Trading?
Add The Elite One to your chart and experience the difference that professional-grade trading tools based on proven scalping methodology can make.
Remember: The best traders don't just follow signals—they understand their tools. Take time to learn the system, backtest thoroughly, and always trade responsibly.
Happy Trading! 🚀
The Elite One - Based on Fabio Valentini's #1 Scalper Methodology ⚡️
AVGO Advanced Day Trading Strategy📈 Overview
The AVGO Advanced Day Trading Strategy is a comprehensive, multi-timeframe trading system designed for active day traders seeking consistent performance with robust risk management. Originally optimized for AVGO (Broadcom), this strategy adapts well to other liquid stocks and can be customized for various trading styles.
🎯 Key Features
Multiple Entry Methods
EMA Crossover: Classic trend-following signals using fast (9) and medium (16) EMAs
MACD + RSI Confluence: Momentum-based entries combining MACD crossovers with RSI positioning
Price Momentum: Consecutive price action patterns with EMA and RSI confirmation
Hybrid System: Advanced multi-trigger approach combining all methodologies
Advanced Technical Arsenal
When enabled, the strategy analyzes 8+ additional indicators for confluence:
Volume Price Trend (VPT): Measures volume-weighted price momentum
On-Balance Volume (OBV): Tracks cumulative volume flow
Accumulation/Distribution Line: Identifies institutional money flow
Williams %R: Momentum oscillator for entry timing
Rate of Change Suite: Multi-timeframe momentum analysis (5, 14, 18 periods)
Commodity Channel Index (CCI): Cyclical turning points
Average Directional Index (ADX): Trend strength measurement
Parabolic SAR: Dynamic support/resistance levels
🛡️ Risk Management System
Position Sizing
Risk-based position sizing (default 1% per trade)
Maximum position limits (default 25% of equity)
Daily loss limits with automatic position closure
Multiple Profit Targets
Target 1: 1.5% gain (50% position exit)
Target 2: 2.5% gain (30% position exit)
Target 3: 3.6% gain (20% position exit)
Configurable exit percentages and target levels
Stop Loss Protection
ATR-based or percentage-based stop losses
Optional trailing stops
Dynamic stop adjustment based on market volatility
📊 Technical Specifications
Primary Indicators
EMAs: 9 (Fast), 16 (Medium), 50 (Long)
VWAP: Volume-weighted average price filter
RSI: 6-period momentum oscillator
MACD: 8/13/5 configuration for faster signals
Volume Confirmation
Volume filter requiring 1.6x average volume
19-period volume moving average baseline
Optional volume confirmation bypass
Market Structure Analysis
Bollinger Bands (20-period, 2.0 multiplier)
Squeeze detection for breakout opportunities
Fractal and pivot point analysis
⏰ Trading Hours & Filters
Time Management
Configurable trading hours (default: 9:30 AM - 3:30 PM EST)
Weekend and holiday filtering
Session-based trade management
Market Condition Filters
Trend alignment requirements
VWAP positioning filters
Volatility-based entry conditions
📱 Visual Features
Information Dashboard
Real-time display of:
Current entry method and signals
Bullish/bearish signal counts
RSI and MACD status
Trend direction and strength
Position status and P&L
Volume and time filter status
Chart Visualization
EMA plots with customizable colors
Entry signal markers
Target and stop level lines
Background color coding for trends
Optional Bollinger Bands and SAR display
🔔 Alert System
Entry Alerts
Customizable alerts for long and short entries
Method-specific alert messages
Signal confluence notifications
Advanced Alerts
Strong confluence threshold alerts
Custom alert messages with signal counts
Risk management alerts
⚙️ Customization Options
Strategy Parameters
Enable/disable long or short trades
Adjustable risk parameters
Multiple entry method selection
Advanced indicator on/off toggle
Visual Customization
Color schemes for all indicators
Dashboard position and size options
Show/hide various chart elements
Background color preferences
📋 Default Settings
Initial Capital: $100,000
Commission: 0.1%
Default Position Size: 10% of equity
Risk Per Trade: 1.0%
RSI Length: 6 periods
MACD: 8/13/5 configuration
Stop Loss: 1.1% or ATR-based
🎯 Best Use Cases
Day Trading: Designed for intraday opportunities
Swing Trading: Adaptable for longer-term positions
Momentum Trading: Excellent for trending markets
Risk-Conscious Trading: Built-in risk management protocols
⚠️ Important Notes
Paper Trading Recommended: Test thoroughly before live trading
Market Conditions: Performance varies with market volatility
Customization: Adjust parameters based on your risk tolerance
Educational Purpose: Use as a learning tool and customize for your needs
🏆 Performance Features
Detailed performance metrics
Trade-by-trade analysis capability
Customizable risk/reward ratios
Comprehensive backtesting support
This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and consider your financial situation before trading.
