EMA Deviation Strategy📌 Strategy: EMA Deviation Strategy
The EMA Deviation Strategy identifies potential reversal points by measuring how far the current price deviates from its Exponential Moving Average (EMA). It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, and enters trades when price reaches extreme zones.
🔍 Core Logic:
• Buy Entry: When price deviates significantly below the EMA, approaching the historical minimum deviation — signaling a potential rebound.
• Sell Entry: When price deviates significantly above the EMA, nearing the historical maximum deviation — signaling a possible pullback.
• Optional Take Profit / Stop Loss: Manage risk with customizable exit levels.
⚙️ Customizable Inputs:
• EMA length and lookback period
• Threshold sensitivity for entry signals
• Take profit and stop loss percentages
📈 Best Used For:
• Mean reversion setups
• Assets with cyclical or range-bound behavior
• Identifying short-term overbought/oversold conditions
Oscillators
ADX Phantom SniperADX Phantom Sniper is a precision trend-following tool that combines three powerful forces:
1. ADX & DI Crossover Trigger – Detects strong directional moves only when the trend strength exceeds a defined threshold.
2. Multi-Timeframe (MTF) Confirmation – Executes on the current chart timeframe (e.g., M15) only if the higher timeframe (H1) confirms the same trend direction.
3. Force Index Momentum Filter – Filters entries based on bullish/bearish momentum to avoid weak signals.
Signal Logic:
BUY: EMA14 > EMA100, price above EMA14, +DI crosses above -DI, ADX > threshold, Stochastic crosses above signal line in the bullish zone (>50), MTF trend aligned, Force Index > 0 (optional).
SELL: EMA14 < EMA100, price below EMA14, -DI crosses above +DI, ADX > threshold, Stochastic crosses below signal line in the bearish zone (<50), MTF trend aligned, Force Index < 0 (optional).
Features:
Noise filtering with trend structure + higher timeframe alignment
On-chart BUY/SELL labels for easy signal spotting
Optional Force Index filter toggle
Adjustable ADX threshold, EMA lengths, Stochastic settings, and higher timeframe choice
Suitable for scalping and swing entries depending on timeframe
Recommended Setup:
Primary chart: M15
Higher timeframe confirmation: H1
Combine with your preferred risk management rules.
Disclaimer:
This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. Use at your own risk.
HiddenRidder - scalping -3 timeframes RSIsBest Used on 3, 5, or 10-minute charts.
Multi-Timeframe Analysis
The script automatically selects a lower and higher timeframe based on your current chart.
For example, if you're on a 15-minute chart:
Lower timeframe might be 5 minutes.
Higher timeframe might be 1 hour.
This strategy combines RSI signals from:
Your current chart timeframe
A lower timeframe (for short-term momentum)
A higher timeframe (for overall trend direction)
By aligning these three perspectives, the strategy aims to catch quick trades that go with the broader trend.
======================================================
High timeframe RSI (HTF), if above 50 baseline then [ usually ] "a bull market"
Adding RSI 50 period to the scene giving an additional confirmation to the HTF
So if HTF RSI and RSI 50 (both) above 50 baseline then [ most likely ] "a confirm bull market"
Most traders consider current RSI above or below 50 baseline , right?
But in scalping or quantum trading "volatility" is the key, so hear me out and get around my simplicity of this strategy!!
If "HTF RSI" & "RSI 50 period" above 50 baseline, wait for the current RSI to crossover "RSI 50 period" then [ Almost confirm ] buy signal and vise versa on the opposite.
So by simplify it , created a dynamic coloring when current RSI crossover RSI 50 (GREEN), and current RSI crossunder RSI 50 (RED).
Bounce: Lower Timeframe RSI (LTF) added as showing in black color to give a sense of next direction.
In 5 mins timeframe, LTF RSI will give a direction of 1 min timeframe, and above 50 baseline (long signal), below 50 baseline (short signal).
NOTE: LTF RSI strategy not tested, not guarantee , on your own risks.
Disclaimer
These indicators are provided for educational purposes only and do not constitute financial advice or guarantees. Use is at your own risk, and all decisions remain your sole responsibility.
4H RSI + EMA (Fib optional) with 3:1 R:R + Hybrid ExitAs above.
RSI + 50 EMA & 200MA
3:1 R:R
Exit based on RSI extreme or 200MA Opposition or 3:1 R:R
Modular Range-Trading Strategy (V9.2)# 模块化震荡行情策略 (V9.2)
# Modular Range-Trading Strategy (V9.2)
## 策略简介 | Strategy Overview
该策略基于布林带 (Bollinger Bands)、RSI、MACD、ADX 等经典指标的组合，通过多逻辑模块化结构识别震荡区间的价格反转机会，支持多空双向操作，并在相同逻辑下允许智能加仓，适用于震荡市场的回测和研究。
This strategy combines classic indicators such as Bollinger Bands, RSI, MACD, and ADX to identify price reversal opportunities within ranging markets. It features a modular multi-logic structure, allowing both long and short trades with intelligent pyramiding under the same logic. It is designed for backtesting and research in range-bound conditions.
---
## 功能特点 | Key Features
- **多逻辑结构**：支持多套震荡逻辑（动能确认均值回归、布林带极限反转等）。
- **加仓与仓位互斥**：同逻辑下可智能加仓，不同逻辑间自动互斥，避免冲突。
- **回测可调时间范围**：可自定义回测起止时间，精准评估策略表现。
- **指标可视化**：布林带、RSI、MACD 及动态 ATR 止损线实时绘图。
- **K线收盘确认信号**：通过 `barstate.isconfirmed` 控制信号，避免未收盘的虚假信号。
- **Multi-logic structure**: Supports multiple range-trading logics (e.g., momentum-based mean reversion, Bollinger Band reversals).
- **Pyramiding with mutual exclusion**: Allows intelligent pyramiding within the same logic while preventing conflicts between different logics.
- **Adjustable backtesting range**: Customizable start and end dates for accurate performance evaluation.
- **Visual indicators**: Real-time plotting of Bollinger Bands, RSI, MACD, and dynamic ATR stop lines.
- **Close-bar confirmation**: Uses `barstate.isconfirmed` to avoid false signals before bar close.
---
## 使用说明 | Usage
1. 将该脚本添加到 TradingView 图表。
2. 在参数中设置回测时间段和指标参数。
3. 仅用于学习与策略研究，请勿直接用于实盘交易。
1. Add this script to your TradingView chart.
2. Configure backtesting dates and indicator parameters as needed.
3. For educational and research purposes only. **Not for live trading.**
---
## ⚠️ 免责声明 | Disclaimer
本策略仅供学习和研究使用，不构成任何形式的投资建议。
作者不参与任何实盘交易、资金管理或收益分成，也不保证策略盈利能力。
严禁将本脚本用于任何非法集资、私募募资或与虚拟货币相关的金融违法活动。
使用本策略即表示您自行承担所有风险与法律责任。
This strategy is for educational and research purposes only and does not constitute investment advice.
The author does not participate in live trading, asset management, or profit sharing, nor guarantee profitability.
The use of this script in illegal fundraising, private placements, or cryptocurrency-related financial activities is strictly prohibited.
By using this strategy, you accept all risks and legal responsibilities.
---
3-Minute RSI and EMA Crossover Strategy3-Minute RSI and EMA Crossover Sell Strategy with Exit Conditions and Re-entry
RSI AND EMA BASED STRATEGY.. WORK ON MINUTES RSI SETTINGS.
RSI + MACD Long-Only StrategyRSI + MACD Long-Only Strategy
Overview: Momentum-based, long-only strategy combining RSI and MACD. Entries favor upside momentum; exits trigger on momentum fades or risk targets. Signals are state-gated so you get one exit per entry (no multiple exits without a prior entry).
Entry conditions:
RSI crosses above the midline (default 50) while MACD is bullish (MACD > Signal, optionally MACD > 0), OR
MACD crosses above its Signal while RSI is at/above the midline.
Optional filters:
EMA trend filter: only enter if price > EMA(n).
Oversold context: only enter within N bars after RSI dipped below the oversold threshold.
Exit conditions:
RSI crosses below the midline, OR
MACD crosses below its Signal with MACD histogram ≤ 0.
Optional risk exit: Take Profit / Stop Loss based on percentage from average entry price.
Risk management:
Inputs: Use TP/SL (on/off), TP% (default 3.0), SL% (default 1.5).
Implements protective strategy.exit (limit/stop) while in position.
Signal-based exit uses strategy.close to flatten.
Position management:
Long-only, no pyramiding (single position at a time).
Internal state ensures entries occur only when flat and exits only when in a position.
Inputs you can tune:
RSI: length, overbought, oversold, midline.
MACD: fast length, slow length, signal length; toggle “Require MACD > 0”.
Signals: oversold lookback window; EMA trend on/off and EMA length.
Risk: TP% and SL%.
Visuals: show entry/exit markers, bar coloring; optional debug background on raw triggers.
Visuals and alerts:
Plots EMA (optional), draws entry/exit markers, optional bar coloring, and a faint background on raw long triggers to aid tuning.
Alert conditions provided for entries and exits.
Notes:
Designed for bar-close evaluation; performance varies by symbol/timeframe—tune inputs accordingly.
Long-only; intended for trend-following momentum with basic risk control.
Not financial advice.
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System
## Strategy Overview
The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities.
The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences.
## Core Algorithm Architecture
The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods.
The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly.
RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments.
Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion.
## Advanced Position Management System
The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications.
Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments.
Position quantity calculations integrate seamlessly with TradingView's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications.
## Comprehensive Risk Management Framework
The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades.
The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions.
Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations.
The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders.
## Visual Customization and Interface Design
The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections.
Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements.
Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections.
## Signal Quality Enhancement Features
The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality.
Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization.
Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations.
## Implementation Guidelines and Optimization
The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability.
Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations.
Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition.
## Performance Considerations and Risk Disclosure
The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions.
Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise.
Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods.
## Technical Specifications
The strategy utilizes standard TradingView Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions.
Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through TradingView's integrated backtesting framework.
Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision.
## Conclusion
The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions.
Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies.
Energy Advanced Policy StrategyThis trading strategy emphasizes both technical trading as well as sentiment trading. Using news and government policy decisions, it can determine either positive or negative sentiment in the energy sector.
How the Strategy Works
This strategy has two main parts that work together to find good trades:
1. The "Policy & Sentiment Engine "
Policy Event Detection : The script spots potential big news or policy changes by looking for big, sudden price moves and huge trading volume. You can play with the Policy Event Volume Threshold and Policy Event Price Threshold (%) settings to make it more or less sensitive.
Sentiment Score : When the script finds a positive or negative event, it adds to a sentiment score. This score isn't forever, though; it fades over time, so the newest events matter the most.
Manual Override : The Manual News Sentiment setting lets you tell the script exactly what the market's mood is for a set time, which is perfect for when you already know about a big upcoming announcement.
The strategy only looks for a trade if the overall feeling is bullish enough. This makes sure you're trading with the big, fundamental forces of the market, not against them.
2. Technical Confirmation & Precision
After the policy and sentiment part gives a green light, the strategy uses a variety of technical indicators to confirm the trend and ideal entry positions.
Long-Term Trend : The script makes sure the market is in a strong uptrend by checking if the fast and medium-speed moving averages are going up, and if the price is above a long-term moving average.
Momentum : The MACD is used to make sure the price's upward momentum is getting stronger, not weaker.
Oscillator : It also uses the RSI to check if the market has gone up too much, too fast, which could mean it's about to turn around.
How to Use the Script
You can customize this strategy to fit your trading style and how much risk you're comfortable with. The inputs are grouped into logical sections for easy adjustment.
News & Policy Analysis : You can play with the Policy Event thresholds to make the script more or less sensitive to market shocks. And you can always use the Manual News Sentiment to take over when you're watching a specific news event.
Technical Analysis : Feel free to change the settings for things like the moving averages, RSI, and MACD to match what you like to trade and on what timeframe.
The Barking Rat ReversionsMean Reversion with Multi-Layered Precision
The Barking Rat Reversions is a short-term mean reversion strategy tailored for high-volatility markets. It combines several well-established technical tools in a configuration to identify overextended price movements likely to revert toward equilibrium. The goal is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups.
At its core, our strategy triggers off Fair Value Gaps (FVGs) that occur a considerable distance away from a dynamically defined equilibrium band. It then validates these gaps by checking proximity to recent support and resistance drawn from swing extremes.
Additional confirmation comes from momentum filters and wick-rejection patterns, ensuring each entry aligns with both price structure and stretched momentum. Exits use volatility-adjusted profit targets. Keeping the approach disciplined and adaptive.
🧠Core Logic: Selectivity & Structure
This strategy is intentionally very selective. We have designed it to filter out roughly 95% of all market noise, highlighting only setups that pass multiple validation layers outlined below.
Fair Value Gaps (FVGs) as the Primary Trigger
FVGs identify imbalance zones where price historically retraces. These inefficient zones often become magnets for reversion as the market seeks to rebalance.
Dynamic Equilibrium Band + S/R
Defines a fair value zone with a long-term moving average and combines it with shorter-term swing pivots to establish support/resistance. Only FVGs that occur outside the band and near recent pivots are considered, ensuring reversals are sufficiently distanced and not taken too close to the mean.
Proximity to Support/Resistance
Setup validity depends on location. The strategy filters for FVGs near well-defined structural levels — areas where price has previously turned (i.e., recent swing highs or lows). This increases the likelihood that reversals are occurring at legitimate zones of confluence.
Wick-Rejection Confirmation
Confirms potential exhaustion through characteristic candle wick patterns beyond the equilibrium region. This acts as another filter to improve signal accuracy.
Sequential Filtered Signals
Custom logic ensures that a new signal in any direction must improve upon the previous one, preventing repetitive or suboptimal entries.
Multi-Step Confirmation
All validation layers must coincide on the same bar before a signal triggers, dramatically reducing false positives.
📈Chart Visuals: Designed for Clarity
To ensure transparency and easy interpretation, the script overlays intuitive visuals:
Green “▲” below a candle: Indicates a potential long entry
Red “▼” above a candle: Indicates a potential short entry
Green “✔️”: Marks exit from a trade when ATR target is met
Background shading (green/red): Indicates trade direction while active
Support/Resistance lines: Auto-plotted from recent swing levels
🔔Alerts: Stay Notified Without Watching
The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed.
You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring.
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: HYPEUSDT
Backtesting range: Jul 21, 2025 — Aug 7, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Reversions strategy is ultra-selective, filtering out over 95% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
We conducted a broader backtest covering the period from December 5, 2024 to July 31, 2025, during which the strategy identified 968 high-probability setups on the same instrument and timeframe as the strategy report.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods
The strategy generates a sizeable number of trades, reducing reliance on a single outcome
Combined with conservative filters, the 25% setting offers a balance between aggression and control
Users are strongly encouraged to customize this to suit their risk profile.
🔍What Makes This Strategy Unique?
Multi-factor confirmation using FVGs, EMA deviation, RSI, wick rejection, and S/R
Clean, Intuitive Chart Experience
Real-time alerts triggered only on confirmation
Variables monitor prior reversal points, guaranteeing each new signal offers an improved entry
Tracks active positions and resets filters upon exit.
[Stratégia] VWAP Mean Magnet v9 (Simple Alert)This strategy is specifically designed for a ranging (sideways-moving) Bitcoin market.
A trade is only opened and signaled on the chart if all three of the following conditions are met simultaneously at the close of a candle:
Zone Entry
The price must cross into the signal zone: the red band for a Short (sell) position, or the green band for a Long (buy) position.
RSI Confirmation
The RSI indicator must also confirm the signal. For a Short, it must go above 65 (overbought condition). For a Long, it must fall below 25 (oversold condition).
Volume Filter
The volume on the entry candle cannot be excessively high. This safety filter is designed to prevent trades during risky, high-momentum breakouts.
Estrategia VWAP + RSI + SuperTrend (15m) con AlertasEstrategia para trading de Futuros en temporalidad de 15 minutos
Aroon, Velocity & RMS Volume Strategy📊 Gabriel's Aroon, Velocity & RMS Volume Strategy
🔎 Description
Gabriel's Aroon, Velocity & RMS Volume Strategy is a sophisticated and adaptive trend-following system that combines directional bias detection using the Aroon indicator, momentum assessment via RMS-scaled volume velocity, and signal confirmation through a Super Smoother filter. This multi-layered strategy is optimized for dynamic position sizing and tailored risk management based on both time and volatility.
It includes:
Aroon Oscillator Logic for trend reversal detection.
Super Smoother as a trend filter.
RMS-Scaled Volume Velocity to capture powerful momentum shifts.
Adaptive ATR-based Stop Loss and Take Profit with customizable multipliers.
Dynamic risk & TP adjustment by hour, enabling time-sensitive strategy tuning.
Position sizing using volatility and price structure.
This strategy is well-suited for both intraday and swing trading on various assets such as stocks, futures, and crypto.
⚙️ Core Components & Logic
🔁 1. Signal Filters
Aroon Oscillator:
Aroon Up = (highestbars + length) / length * 100
Aroon Down = (lowestbars + length) / length * 100
A bullish crossover of Aroon Up over Aroon Down signals a long entry.
A bearish crossunder signals a short entry.
Super Smoother:
A zero-lag trend filter to confirm the overall trend.
Trade is only taken if price (src) is above the smoother (long) or below (short).
Velocity of RMS Volume:
A custom momentum oscillator based on root mean square of bandpassed volume.
Entry condition requires that momentum is increasing (velocity > velocity ).
🧠 2. Strategy Logic
Entry Conditions:
✅ Long: Aroon Up crosses above Aroon Down + Price above smoother + Volume momentum rising.
✅ Short: Aroon Down crosses above Aroon Up + Price below smoother + Volume momentum rising.
Exit Conditions:
📌 Stop Loss: Based on ATR * SL multiplier.
🎯 Take Profit: Based on ATR * TP multiplier.
📏 Position Size: Based on user-defined risk % and real-time stop distance.
⏰ 3. Time Filter & Dynamic Risk
The strategy allows filtering trades to specific hours (optional).
You can define:
Allowed hours (e.g., 10am, 11am, 12pm)
Custom risk % per hour
Custom TP multipliers per hour
This allows adapting to session volatility and optimizing for high-liquidity periods.
🔧 Inputs Overview
📁 Strategy Settings
Trade Direction: Long / Short / Both
User Risk : How much capital you're willing to risk per trade (default 100%)
🧮 Strategy Entry Settings
Src: Price source (default: hl2)
Super Smoother Length: Filter for trend confirmation
Velocity Length: Lookback period for RMS momentum
Aroon Length: Lookback for trend reversal detection
💣 Strategy TP/SL Settings
ATR Length: Volatility basis
SL Multiplier: How far the stop loss is placed from entry
TP Multiplier: How far the take profit is placed
🕒 Time Filter Settings
Enable/Disable trade hours
Select up to 3 active trading hours (by exchange time)
⏳ Hourly Risk & TP Settings
Set dynamic risk and TP multiplier per hour.
🧪 How to Use
Add the Script to a Chart (preferably on a trending timeframe like 15m, 1h, or 4h).
Choose your Trade Direction (Long/Short/Both).
Tune Aroon Length:
Shorter for faster signals (e.g., 14)
Longer for smoother entries (e.g., 23–50)
Adjust Velocity Length if momentum feels noisy or delayed.
Set ATR Multipliers for stop loss and take profit distance.
Activate Time Filters if you want to trade only specific hours.
Backtest and Optimize using TradingView's Strategy Tester to find your best parameters.
🧠 Best Practices
Use with volume-rich assets (e.g., SPY, BTC, AAPL) to get accurate momentum readings.
Combine with HTF trend filter or macro bias for added confirmation.
Use longer Super Smoother periods to reduce whipsaws in sideways markets.
Monitor the velocity area plot — teal = bullish momentum, red = bearish momentum.
Consider optimizing settings per asset using Sharpe, Sortino, or Omega metrics.
📈 Visual Components
🔸 Orange Line: Aroon Up (normalized)
🔹 Blue Line: Aroon Down (normalized)
🔴 Red Line: Super Smoother of Price
🌊 Teal/Red Area Plot: RMS-scaled volume momentum (Velocity)
🛠 Strategy Example Config (Scalping on 5m)
Super Smoother: len = 55
Velocity Length: 12
Aroon Length: 14
ATR Length: 3
SL Mult: 1.0
TP Mult: 2.5
Trade Hours: Enabled for 9am–12pm
Dynamic Hour Risk: e.g., Hour 9 = 5%, Hour 10 = 3%
✅ Summary
This strategy is a robust adaptive trading system for traders looking to combine trend direction (Aroon), price confirmation (Super Smoother), and volume strength (RMS velocity). With built-in support for time-based optimization, dynamic risk, and volatility-based exits, it’s ideal for those who want precise control over entries and exits in algorithmic trading.
Let me know if you'd like a multi-asset version, alerts, or a visual dashboard added.
Monthly BX Trender- Scale Out Strategy V2This strategy is built around the monthly BXTrender oscillating histogram. It enters a position when the BXTrender shifts from dark red to light red, signaling increasing buying pressure.
From there, it scales out profits by 10% for every 50% gain from the original entry. The position is fully exited when the monthly BXTrender turns red again.
Both the take profit thresholds and scale-out percentages are customizable.
Medico Action Zone self adjust TF version 2to create buy sell signal with adjusted EMA and timeframe
HiddenRidder - RSI + 3 MAs - KWT strategyBased on Meshaal Alkharfashi strategy .
Condition:
- Moving Average 4, 9, 18
- RSI (14 period)
- 2 months highest high pivots .
// Added a simple enhancement to allow the end user to enable or disable the strategic report.
// By this enhancement the chart will remain clean and indicator will used as simple form.
// // Added table with dynamic coloring, for indicators (RSIs + MAs) as a condition of buy and sell strategy.
Disclaimer
These indicators are provided for educational purposes only and do not constitute financial advice or guarantees. Use is at your own risk, and all decisions remain your sole responsibility.
(HHW) Helix Hybrid Wave Strategy Hakim Tung v1.0(HHW) Helix Hybrid Wave Strategy Hakim Tung v1.0
Strategy Concept & Core Logic
The (HHW) Helix Hybrid Wave Strategy is a long-only, trend-continuation system designed for BTC/USD on the daily timeframe. It combines multi-timeframe momentum analysis with adaptive trend filtering to capture sustained bullish movements while minimizing false signals. The addition of HMA indicator gives you as additional option to manually exit or re-enter trades should you wish to take some profit off your trade.
Indicator Synergy & Trade Logic
1. Gaussian Channel (Trend Filter)
2. Stochastic RSI (Momentum Trigger)
3. Williams %R (Trend Strength)
4. Moving Averages (Confluence)
5. LMA (Logarithmic Momentum Accelerator)
Exit Conditions:
* Auto-Exit: Price closes below SMA(126).
* Manual HMA Exit (Optional): Bearish HMA crossunder below price to secure profits, with re-entry on HMA reversal.
Why This Works for BTC
* Trend-Centric: Aligns with BTC’s multi-week bullish cycles.
* Hybrid Edge: Algorithmic entries + discretionary exits adapt to BTC’s volatility.
* Multi-Layer Confirmation: Reduces false signals in choppy markets.
Backtest Note: Optimized for BTC daily charts (2018–2024), with parameters tuned for high-momentum phases.
Profitable Pullback Strategy Mark804📝 Strategy Description: Pullback Trading Strategy v2.0 by Mark804
Overview
This strategy is a refined, trend-following pullback system designed to identify high-probability entry points within an established trend. Based on **EMA stacking**, it captures short-term retracements (pullbacks) in the direction of the larger trend. It has been fully updated to **Pine Script v5** with dynamic inputs, clear visualization, backtesting functionality, and risk management via stop loss and take profit.
---
🔧 How It Works
1. **Trend Detection**
The strategy first identifies a trend using a combination of four EMAs:
* **Fast EMA**
* **Signal EMA**
* **Medium EMA**
* **Slow EMA** (optional filter)
A valid trend is defined by **EMA stacking**:
* **Uptrend**: Fast > Signal > Medium (> Slow, if enabled)
* **Downtrend**: Fast < Signal < Medium (< Slow, if enabled)
This ensures the strategy trades **only in the direction of the dominant trend**, avoiding countertrend setups.
---
2. **Pullback Entry Conditions**
The strategy looks for pullbacks (retracements) within the confirmed trend:
*Buy Setup (Long Pullback)**:
* In an uptrend
* Price **closes below** the Signal EMA on the previous bar
* Then **closes back above** the Signal EMA on the current bar
* **Sell Setup (Short Pullback)**:
* In a downtrend
* Price **closes above** the Signal EMA on the previous bar
* Then **closes back below** the Signal EMA on the current bar
These conditions aim to enter on price dips or rallies that offer better entries while staying aligned with trend momentum.
---
3. **Entry & Exit Logic**
When a pullback signal is detected:
* A **market order** is placed in the trend direction
* A **take profit** and **stop loss** is applied immediately based on percentage inputs
Example:
* Take Profit: 2% above entry (for long)
* Stop Loss: 1% below entry (for long)
This creates a favorable **risk-to-reward ratio** and clear exit strategy.
---
4. **Customizable Inputs**
All key parameters can be tuned via the script’s settings panel:
* `maSrc`: Source for EMAs (default: `close`)
* `fastLen`, `signalLen`, `mediumLen`, `slLen`: EMA lengths
* `slEnabled`: Toggle to include the slow EMA as a trend filter
* `takeProfitPct`, `stopLossPct`: % values for TP and SL
* `showRibbon`: Toggle visibility of EMA lines (the "ribbon")
This flexibility allows optimization for different timeframes, assets, or market conditions.
---
5. **Visuals & Alerts**
* **EMA Ribbon**: Optionally plots all 4 EMAs in distinct colors
* **Alerts**: Configurable alerts for both Buy and Sell pullback signals
* **Strategy Tester**: Fully compatible with TradingView’s backtester to review performance
---
✅ Key Features
* Pine Script **v5** compatible
* Simple yet powerful **trend-pullback strategy**
* Built-in **risk management** (TP/SL)
* Highly **customizable** and easy to optimize
* Works on **any timeframe or market** (stocks, crypto, forex, etc.)
* Optional **EMA Ribbon** and slow filter for visual context
---
📊 Strategy Use Cases
* Intraday trading
* Swing trading
* Trend continuation setups
* Building automated systems in TradingView
* Manual trade confirmation for other systems
---
⚙️ Example Settings
| Parameter | Value |
| ----------------- | --------- |
| Fast EMA Length | 8 |
| Signal EMA Length | 13 |
| Medium EMA Length | 21 |
| Slow EMA Length | 55 |
| Take Profit (%) | 2.0 |
| Stop Loss (%) | 1.0 |
| Use Slow EMA | ✅ Enabled |
---
📌 Important Notes
* This is a **trend-following strategy**. Best results occur in trending markets.
* In sideways or choppy markets, false signals may occur. Consider using higher timeframes or combining with volume filters.
* You can expand this strategy further by integrating:
* Multi-timeframe trend confirmation
* Additional filters (e.g. RSI, MACD)
* Trailing stop loss for dynamic exits
* Visual overlays (e.g. pivot points, fractals) for added context
EMA Cross + MACD Confluence (with Session-Start Entry)EMA Cross + MACD Confluence Strategy (with Session-Start Entry)
Idea originally from kirilov
Description:
This strategy blends a classic Exponential Moving Average (EMA) crossover system
with MACD histogram confirmation, all within your custom trading window. On each bar:
• Calculates two user-defined EMAs (Fast and Slow).
• Computes the MACD line, signal line, and histogram using customizable lengths.
• Only takes new trades during your chosen session hours and date range.
• Enters on a fresh crossover (or crossunder), OR immediately at session start
if the crossover condition is already true.
• Applies MACD confluence: long entries only when the MACD histogram is positive;
short entries only when it’s negative.
• Exits positions when the opposite EMA-cross signal fires or when the session closes.
Key Features:
• 100% user-defined parameters: EMAs, MACD lengths, session times, date range, and
long/short or both directions.
• Session-aware “catch-up” entry—never miss a trend that started before the market open.
• Lightweight and transparent: only standard Pine v6 functions, no external libraries.
Disclaimer:
This script is provided for educational and illustrative purposes only.
It is NOT financial advice, a recommendation to buy or sell, or a substitute for your
own due diligence. Past performance is no guarantee of future results. Trade at your
own risk.
xGhozt Stoch RSI + Keltner InvertedA powerful trend-following and reversal strategy combining two robust indicators with "OR" logic. It generates buy/sell signals when either:
Stochastic RSI shows strong overbought/oversold conditions for multiple consecutive bars.
Keltner Channels (Inverted) signal a breakout above the upper band (for longs) or below the lower band (for shorts), indicating momentum.
Includes optional ATR-based Stop Loss/Take Profit and flexible trade direction controls.
Fisher Crossover StrategyThe Fisher Crossover Strategy is a popular technical trading method that uses the Fisher Transform indicator developed by John Ehlers. This indicator mathematically converts price data into a normal Gaussian distribution, making market turning points sharper and easier to identify. The strategy is based on two lines: the Fisher line, which is the main transformed price value, and the Trigger line, which is a one-period lag of the Fisher line. Traders use the crossover of these lines to determine buy and sell opportunities.
A buy signal is generated when the Fisher line crosses above the Trigger line, indicating that bullish momentum may be starting, while a sell signal occurs when the Fisher line crosses below the Trigger line, suggesting a possible bearish reversal. Signals that occur relative to the zero line are often considered stronger; for example, a buy signal below the zero line may indicate a deeper market reversal. The strategy is simple to follow and can be applied to various markets including stocks, forex, commodities, and cryptocurrencies.
However, like all crossover strategies, it can produce false signals during sideways or ranging markets. To reduce whipsaws, traders often combine the Fisher Crossover Strategy with other tools such as support and resistance levels, volume analysis, or moving averages. Proper risk management with stop-loss and take-profit levels is also essential. Overall, the Fisher Crossover Strategy is valued for its clear entry and exit rules and its ability to highlight potential market reversals earlier than many other indicators.
Advanced Supertrend StrategyA comprehensive Pine Script v5 strategy featuring an enhanced Supertrend indicator with multiple technical filters, risk management, and advanced signal confirmation for automated trading on TradingView.
## Features
- **Enhanced Supertrend**: Configurable ATR-based trend following with improved accuracy
- **RSI Filter**: Optional RSI-based signal filtering to avoid overbought/oversold conditions
- **Moving Average Filter**: Trend confirmation using SMA/EMA/WMA with customizable periods
- **Risk Management**: Built-in stop-loss and take-profit based on ATR multiples
- **Trend Strength Analysis**: Filters weak signals by requiring minimum trend duration
- **Breakout Confirmation**: Optional price breakout validation for stronger signals
- **Visual Interface**: Comprehensive chart plotting with multiple indicator overlays
- **Advanced Alerts**: Multiple alert conditions with detailed signal information
- **Backtesting**: Full strategy backtesting with commission and realistic execution
rsi indicator strategyRSIBB Strategy Based on Oversold, Overrbuy Bolinger Band Band. In usoil . Time Indicators is set and the timing is in 5 minutes
An example of Long. When the green marker appears, our entry point is High High If the price fails to reject our High High, our entry will change to the next candlestick. This process will continue until we enter the position.
A marker appears in purple when the green marker appears to us, in which information appears:
The first digit related to the strategist code
The second digit is that we have a few pips to be sure of the candlestick of our entry point
The third digit is our SL that is a coefficient of overall size of yogurt (HIGH - LOW)
Charmin is the digit of our tp that is a coefficient of overall size of yogurt (HIGH - LOW)
In 6 sets
استراتژی RSIBB بر اساس اشباع فروش، اشباع خرید، باند بولینگر. در این روش، اندیکاتورهای زمانی تنظیم شده و زمانبندی ۵ دقیقه است.
مثالی از موقعیت خرید. وقتی نشانگر سبز ظاهر میشود، نقطه ورود ما High است. اگر قیمت نتواند High ما را رد کند، ورود ما به کندل بعدی تغییر میکند. این فرآیند تا زمانی که وارد موقعیت شویم ادامه خواهد داشت.
وقتی نشانگر سبز برای ما ظاهر میشود، یک نشانگر به رنگ بنفش ظاهر میشود که در آن اطلاعات زیر ظاهر میشود:
رقم اول مربوط به کد استراتژیست است.
رقم دوم این است که ما چند پیپ برای اطمینان از کندل نقطه ورود خود داریم.
رقم سوم SL ما است که ضریبی از اندازه کلی ماست (HIGH - LOW) است.
چارمین رقم tp ما است که ضریبی از اندازه کلی ماست (HIGH - LOW) است.
RSI Strategy - Long Position DAX 2 hours - Dow Jones 1 hourLong position strategy based on the RSI.Works very well on the DAX 40 (2-hour base) and the DOW (1-hour base).The entry signal is very good. The exit signal (take profit) needs to be reviewed.
