Hybrid: RSI + Breakout + Dashboard95% of traders lose, then i developped a bot that can go over those rules.
Indicators and strategies
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview
This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points.
This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches.
What Makes This Strategy Original
This implementation enhances the traditional Ichimoku system by:
Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions
EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer
State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals
Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud")
Breakout Confirmation: Requires price to break above the 25-period high for long entries
How It Works
Core Components
Ichimoku Elements:
-Conversion Line (Tenkan-sen): 7-period Donchian midpoint
-Base Line (Kijun-sen): 211-period Donchian midpoint
-Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead
-Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead
-Lagging Span (Chikou Span): Current close plotted 41 periods back
EMA Filter: 171-period EMA acts as a long-term trend filter
Entry Logic (Ichi Mode - Default)
A long position is triggered when ALL conditions are met:
Cloud Bullish: Span A > Span B (41 periods ago)
Breakout Confirmation: Current close > 25-period high
Ichimoku Bullish: Conversion Line > Base Line
Trend Alignment: Current close > 171-period EMA
State Memory: No previous buy signal is still active
Exit Logic
Positions are closed when:
Ichimoku Bearish: Conversion Line < Base Line
Alternative Cloud Mode
When "Cloud" mode is selected, the strategy uses:
Entry: Span A crosses above Span B with additional cloud and EMA confirmations
Exit: Span A crosses below Span B with cloud and EMA confirmations
Default Settings Explained
Strategy Properties
Initial Capital: $1,000 (realistic for average traders)
Position Size: 100% of equity (appropriate for backtesting single-asset strategies)
Commission: 0.1% (realistic for most brokers)
Slippage: 3 ticks (accounts for realistic execution costs)
Date Range: January 1, 2018 to December 31, 2069
Key Parameters
Conversion Periods: 7 (faster than traditional 9, more responsive to price changes)
Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation)
Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels)
Displacement: 41 (projects cloud further into future than standard 26)
EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data)
How to Use This Strategy
Best Market Conditions
Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias
Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes
Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets
Risk Management
The strategy uses 100% equity allocation, suitable for backtesting single strategies
Consider reducing position size when implementing with real capital
Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets
Visual Elements
Green/Red Cloud: Shows bullish/bearish cloud conditions
Yellow Line: Conversion Line (Tenkan-sen)
Blue Line: Base Line (Kijun-sen)
Orange Line: 171-period EMA trend filter
Gray Line: Lagging Span (Chikou Span)
Important Considerations
Limitations
Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves
Whipsaw Risk: Extended periods of consolidation may generate false signals
Parameter Sensitivity: Custom parameters may not work equally well across all market conditions
Backtesting Notes
Results are based on historical data and past performance does not guarantee future results
The strategy includes realistic slippage and commission costs
Default settings are optimized for backtesting and may need adjustment for live trading
Risk Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles.
Customization Options
Trade Mode: Switch between "Ichi" and "Cloud" signal generation
Short Trading: Option to enable short positions (disabled by default)
Date Range: Customize backtesting period
All Ichimoku Parameters: Fully customizable for different market conditions
This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
NASDAQ Smart Momentum Strategy v4.1 BoostedTry to trade Nasdaq with it in 15 min time frame just build today. GL
ARSI โ (VWAP & ATR) 3QKRAKThe ARSI Long & Short โ Dynamic Risk Sizing (VWAP & ATR) indicator combines three core componentsโan adjusted RSI oscillator (ARSI), VolumeโWeighted Average Price (VWAP), and Average True Range (ATR)โso that entry/exit signals and position sizing are always tailored to current market conditions. ARSI, plotted from 0 to 100 with clearly marked overbought and oversold zones, is the primary signal driver: when ARSI falls below the lower threshold it indicates an excessive sellโoff and flags a long opportunity, whereas a break above the upper threshold signals overextended gains and foreshadows a short. A midpoint line at 50 can serve as an early exit or reduction signal when crossed against your position.
VWAP, showing the volumeโweighted average price over the chosen period, acts as a trend filterโlong trades are only taken when price sits above VWAP, and shorts only when itโs belowโensuring each trade aligns with the prevailing market momentum. ATR measures current volatility and is used both to set safe stopโloss levels and to dynamically size each position. In practice, this means positions automatically shrink in highโvolatility environments and grow in quieter markets, all while risking a fixed percentage of your capital.
Everything appears on a single chart: the ARSI pane below the price window with its reference levels; VWAP overlaid on the price; and the ATRโbased stopโloss distances graphically displayed. Traders thus get a comprehensive, at-a-glance view of entries, exits, trend confirmation, and exactly how large a position they can safely take. The indicator runs in real time, removing the need for manual parameter calculations and letting you focus on strategic decision-making.
Relative Volume Strategy๐ Relative Volume Strategy by GabrielAmadeusLau
This Pine Script strategy combines volume-based momentum analysis with price action filtering, breakout detection, and dynamic stop-loss/take-profit logic, allowing for highly adaptable long and short entries. It is particularly suited for traders looking to identify reversals or continuation setups based on relative volume spikes and candle behavior.
๐ง Core Concept
At its core, this strategy uses a Relative Volume %R oscillator, comparing the current volume to its historical range using a Williams %R-like calculation. The oscillator is paired with dual moving average filters (Fast & Slow) to identify when volume is expanding or contracting.
Entries are further refined using a configurable price action filter based on the structure of bullish or bearish candles:
Simple: Basic up/down bar
Filtered: Range-based strength confirmation
Aggressive: Momentum-based breakout
Inside: Reversal bar patterns
Combinations of the above can be toggled for both long and short entries.
โ๏ธ Configurable Features
Trade Direction Control: Choose between Long Only, Short Only, or Both.
Directional Bar Modes: Set different conditions for long and short bar types (Simple, Filtered, Aggressive, Inside).
Breakout Filter: Optional filter to exclude trades near 5-bar highs/lows to avoid poor R/R trades.
Stop Loss & Take Profit System:
ATR-based dynamic SL/TP.
Configurable multipliers for both SL and TP.
Timed Exit: Optional bar-based exit after a fixed number of candles.
Custom Volume MA Smoothing: Choose from various smoothing algorithms (SMA, EMA, JMA, T3, Super Smoother, etc.) for both fast and slow volume trends.
Relative Volume Threshold: Minimum %R level for trade filtering.
๐ Technical Indicators Used
Relative Volume %R: A modified version of Williams %R, calculated on volume.
Dual Volume MAs: Fast and Slow MAs for volume trends using user-selected smoothing.
ATR: Average True Range for dynamic SL/TP calculation.
Breakout High/Low: 5-bar breakout thresholds to avoid late entries.
๐ Trade Logic
Long Entry:
Volume > Fast MA > Slow MA
Relative Volume %R > Threshold
Price passes long directional filter
Optional: below recent breakout high
Short Entry:
Volume < Fast MA < Slow MA
Relative Volume %R < 100 - Threshold
Price passes short directional filter
Optional: above recent breakout low
Exits:
After N bars (configurable)
ATR-based Stop Loss / Take Profit if enabled
๐ Visualization
Orange Columns: Relative Volume %R
Green Line: Fast Volume MA
Red Line: Slow Volume MA
๐ก Use Case
Ideal for:
Reversal traders catching capitulation or accumulation spikes
Momentum traders looking for volume-confirmed trends
Quantitative strategy developers wanting modular MA and price action filter logic
Intraday scalpers or swing traders using relative volume dynamics
Created by: GabrielAmadeusLau
License: Mozilla Public License 2.0
๐ mozilla.org
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only โ not for live trading.
๐ง How it works:
The strategy identifies pullbacks using a simple moving average (MA).
When price dips below the MA, it begins monitoring for the first green candle (close > open).
That green candle signals a potential bottom, so it adds to the position.
If price goes lower, it waits for the next green candle and adds again.
The exit happens after ATH โ it sells on each red candle (close < open) once a new ATH is reached.
You can adjust:
MA length (defines whatโs considered a pullback)
Initial buy % (how much to pre-fill before signals start)
Buy % per signal (after pullback green candle)
Exit % per red candle after ATH
๐ Intended assets & timeframes:
This strategy is designed for broad market indices and long-term appreciating assets, such as:
SPY, NASDAQ, DAX, FTSE
Use it only on 1D or higher timeframes โ itโs not meant for scalping or short-term trading.
โ ๏ธ Important Limitations:
Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH.
Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens).
Slow capital deployment: Entries happen gradually and may take a long time to close.
Not optimized for returns: Buy & hold can outperform this strategy.
No slippage, fees, or funding costs included.
This is not a performance strategy. Itโs a teaching tool to show that:
High win rate โ high profitability
Patience can be deceiving
Many signals = long capital lock-in
๐ Why it exists:
The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost.
This script helps visualize that phenomenon.
Crypto Pulse Strategy ActiveCrypto Pulse Strategy Active
Short-term crypto strategy for 1h-4h charts. Uses RSI, Bollinger Bands, and VWAP to spot buy/sell signals. Buy above VWAP with low BB or RSI < 25; sell below VWAP with high BB or RSI > 75. Risks 1% per trade with 1.5% stop-loss and 1.5x profit. Test on BTC/ETH first!
MACD + MA 2-Min Binary Options Strategy (Strategy Mode)๐ "MACD + MA Crossover Momentum Strategy" (2-Minute Expiry)
โ
Objective:
Catch short-term momentum in the direction of the trend confirmed by MACD crossover and MA alignment.
๐งฐ Strategy Setup
๐ Chart Timeframe:
15-second or 30-second candles
(2-minute expiry = 4โ8 candles ahead)
๐ Indicators:
EMA 5 (fast)
EMA 13 (slow)
MACD (12, 26, 9) โ Standard settings
(Optional): Support/Resistance zones (manual or indicator)
๐ฉ Call (Buy) Conditions:
EMA 5 crosses above EMA 13
MACD Line crosses above the Signal Line (MACD crossover happens after or at the same time as EMA cross)
MACD histogram is increasing (momentum rising)
Price is above both EMAs, confirming trend strength
No major resistance or news in the next 2 minutes
๐จ Enter on the close of the confirmation candle. Set expiry: 2 minutes from entry.
๐ฅ Put (Sell) Conditions:
EMA 5 crosses below EMA 13
MACD Line crosses below Signal Line
MACD histogram is decreasing
Price is below both EMAs
No support zone or news in next 2 minutes
โ
Additional Entry Filters
Only trade in the direction of the higher timeframe trend (check 5-minute chart to confirm)
Avoid trading during low volume (e.g., lunch hours, between sessions)
Avoid entry right after a MACD crossover has been running for several candles (too late)
Use price action candles to confirm (e.g., engulfing, strong momentum bars)
๐ง Example Workflow (Call Trade):
You're watching GBP/USD on 30-sec candles.
EMA 5 just crosses above EMA 13.
MACD line crosses above signal, histogram increases.
Price is above both EMAs, showing strength.
Candle closes strong bullish.
โก๏ธ Enter CALL with 2-minute expiry.
RSI-Adaptive T3 + Squeeze Momentum Strategyโ
Strategy Guide: RSI-Adaptive T3 + Squeeze Momentum Strategy
๐ Overview
The RSI-Adaptive T3 + Squeeze Momentum Strategy is a dynamic trend-following strategy based on an RSI-responsive T3 moving average and Squeeze Momentum detection .
It adapts in real-time to market volatility to enhance entry precision and optimize risk.
โ ๏ธ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
๐ฏ Strategy Objectives
The main objective of this strategy is to catch the early phase of a trend and generate consistent entry signals.
Designed to be intuitive and accessible for traders from beginner to advanced levels.
โจ Key Features
RSI-Responsive T3: T3 length dynamically adjusts according to RSI values for adaptive trend detection
Squeeze Momentum: Combines Bollinger Bands and Keltner Channels to identify trend buildup phases
Visual Triggers: Entry signals are generated from T3 crossovers and momentum strength after squeeze release
๐ Trading Rules
Long Entry:
When T3 crosses upward, momentum is positive, and the squeeze has just been released.
Short Entry:
When T3 crosses downward, momentum is negative, and the squeeze has just been released.
Exit (Reversal):
When the opposite condition to the entry is triggered, the position is reversed.
๐ฐ Risk Management Parameters
Pair & Timeframe: BTC/USD (30-minute chart)
Capital (simulated): $30,00
Order size: `$100` per trade (realistic, low-risk sizing)
Commission: 0.02%
Slippage: 2 pips
Risk per Trade: 5%
Number of Trades (backtest period): 181
๐ Performance Overview
Symbol: BTC/USD
Timeframe: 30-minute chart
Date Range: January 1, 2024 โ July 3, 2025
Win Rate: 47.8%
Profit Factor: 2.01
Net Profit: 173.16 (units not specified)
Max Drawdown: 5.77% or 24.91 (0.79%)
โ๏ธ Indicator Parameters
Indicator Name: RSI-Adaptive T3 + Squeeze Momentum
RSI Length: 14
T3 Min Length: 5
T3 Max Length: 50
T3 Volume Factor: 0.7
BB Length: 27 (Multiplier: 2.0)
KC Length: 20 (Multiplier: 1.5, TrueRange enabled)
๐ผ Visual Support
T3 slope direction, squeeze status, and momentum bars are visually plotted on the chart,
providing high clarity for quick trend analysis and execution.
๐ง Strategy Improvements & Uniqueness
Inspired by the RSI Adaptive T3 by ChartPrime and Squeeze Momentum Indicator by LazyBear ,
this strategy fuses both into a hybrid trend-reversal and momentum breakout detection system .
Compared to traditional trend-following methods, it excels at capturing early trend signals with greater sensitivity .
โ
Summary
The RSI-Adaptive T3 + Squeeze Momentum Strategy combines momentum detection with volatility-responsive risk management.
With a strong balance between visual clarity and practicality, it serves as a powerful tool for traders seeking high repeatability.
โ ๏ธ This strategy is based on historical data and does not guarantee future profits.
Always use appropriate risk management when applying it.
Market Maker Trap Reversal V1Market Maker Trap Reversal V1 is a lightweight, precision-focused tool designed to detect the same liquidity manipulation tactics used by institutional players and market makers.
This script identifies key liquidity sweeps of prior swing highs/lows and confirms trap reversals when price closes back inside the swept range โ a signature move of smart money designed to trap retail breakout traders.
Built for disciplined execution, this tool includes:
โ
Sweep detection using custom swing lookbacks
โ
Convincing trap confirmation (strong candle body)
โ
Optional NY session filter for optimal timing
โ
Clean long/short alerts for seamless automation
โ
No indicators โ just raw price action and intent
Use this strategy to mirror market maker logic, avoid false breakouts, and trade with real conviction around liquidity events.
**Coded with the help of Zero"
Turtle Trading Strategy (Simplified)This TradingView script is a powerful implementation of the classic Turtle Trading strategy, designed to help traders capitalize on significant market trends. Built using Pine Script, it can function as an indicator to highlight the specific entry and exit signals derived from the Turtle rules, or as a fully automated strategy to execute trades based on these signals. Users can fine-tune critical parameters like the lookback periods for breakouts and exits, enabling them to adapt the strategy to different market conditions and asset classes. The script leverages Pine Script's robust capabilities to accurately calculate and display the Turtle System's core logic, including position sizing based on volatility (ATR), providing a clear and systematic approach to trend-following directly on their TradingView charts.
ZYTX RSI SuperTrendZYTX RSI SuperTrend
ZYTX RSI + SuperTrend Strategy
The definitive integration of RSI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
Warrior Trading Momentum Strategy
# ๐ Warrior Trading Momentum Strategy - Day Trading Excellence
## Strategy Overview
This comprehensive Pine Script strategy replicates the proven methodologies taught by Ross Cameron and the Warrior Trading community. Designed for active day traders, it identifies high-probability momentum setups with strict risk management protocols.
## ๐ Core Trading Setups
### 1. Gap and Go Trading
- **Primary Focus**: Stocks gapping up 2%+ with volume confirmation
- **Entry Logic**: Breakout above gap open with momentum validation
- **Volume Filter**: 2x average volume requirement for quality setups
### 2. ABCD Pattern Recognition
- **Pattern Detection**: Automated identification of classic ABCD reversal patterns
- **Validation**: A-B and C-D move relationship analysis
- **Entry Trigger**: D-point breakout with volume confirmation
### 3. VWAP Momentum Plays
- **Strategy**: Entries near VWAP with bounce confirmation
- **Distance Filter**: Configurable percentage distance for optimal entries
- **Direction Bias**: Above VWAP bullish momentum validation
### 4. Red to Green Reversals
- **Setup**: Reversal patterns after consecutive red candles
- **Confirmation**: Volume spike with bullish close required
- **Momentum**: Trend change validation with RSI support
### 5. Breakout Momentum
- **Logic**: Breakouts above recent highs with volume
- **Filters**: EMA20 and RSI confirmation for quality
- **Trend**: Established momentum direction validation
## โก Key Features
### Smart Risk Management
- **Position Sizing**: Automatic calculation based on account risk percentage
- **Stop Loss**: 2 ATR-based stops for volatility adjustment
- **Take Profit**: Configurable risk-reward ratios (default 1:2)
- **Trailing Stops**: Profit protection with adjustable triggers
### Advanced Filtering System
- **Time Filters**: Market hours trading with lunch hour avoidance
- **Volume Confirmation**: Multi-timeframe volume analysis
- **Momentum Indicators**: RSI and moving average trend validation
- **Quality Control**: Multiple confirmation layers for signal accuracy
### PDT-Friendly Design
- **Trade Limiting**: Built-in daily trade counter for accounts under $25K
- **Selective Trading**: Priority scoring system for A+ setups only
- **Quality over Quantity**: Maximum 2-3 high-probability trades per day
## ๐ฏ Optimal Usage
### Best Timeframes
- **Primary**: 5-minute charts for entry timing
- **Secondary**: 1-minute for precise execution
- **Context**: Daily charts for gap analysis
### Ideal Market Conditions
- **Volatility**: High-volume, momentum-driven markets
- **Stocks**: Market cap $100M+, average volume 1M+ shares
- **Sectors**: Technology, biotech, growth stocks with news catalysts
### Account Requirements
- **Minimum**: $500+ for proper position sizing
- **Recommended**: $25K+ for unlimited day trading
- **Risk Tolerance**: Active day trading experience preferred
## ๐ Performance Optimization
### Entry Criteria (All Must Align)
1. โ
Time filter (market hours, avoid lunch)
2. โ
Volume spike (2x+ average volume)
3. โ
Momentum confirmation (RSI 50-80)
4. โ
Trend alignment (above EMA20)
5. โ
Pattern completion (setup-specific)
### Risk Parameters
- **Maximum Risk**: 1-2% per trade
- **Position Size**: 25% of account maximum
- **Stop Loss**: 2 ATR below entry
- **Take Profit**: 2:1 risk-reward minimum
## ๐ง Customization Options
### Gap Trading Settings
- Minimum gap percentage threshold
- Volume multiplier requirements
- Gap validation criteria
### Pattern Recognition
- ABCD ratio parameters
- Swing point sensitivity
- Pattern completion filters
### Risk Management
- Risk-reward ratio adjustment
- Maximum daily trade limits
- Trailing stop trigger levels
### Time and Session Filters
- Trading session customization
- Lunch hour avoidance toggle
- Market condition filters
## โ ๏ธ Important Disclaimers
### Risk Warning
- **High Risk**: Day trading involves substantial risk of loss
- **Capital Requirements**: Only trade with risk capital
- **Experience**: Strategy requires active monitoring and experience
- **Market Conditions**: Performance varies with market volatility
### PDT Considerations
- **Day Trading Rules**: Accounts under $25K limited to 3 day trades per 5 days
- **Compliance**: Strategy includes trade counting for PDT compliance
- **Alternative**: Consider swing trading modifications for smaller accounts
### Backtesting vs Live Trading
- **Slippage**: Real trading involves execution delays and slippage
- **Commissions**: Factor in broker fees for accurate performance
- **Market Impact**: Large positions may affect fill prices
- **Psychological Factors**: Live trading involves emotional challenges
## ๐ Educational Value
This strategy serves as an excellent learning tool for understanding:
- Professional day trading methodologies
- Risk management principles
- Pattern recognition techniques
- Volume and momentum analysis
- Multi-timeframe analysis
## ๐ค Community and Support
Based on proven Warrior Trading methodologies with active community support. Strategy includes comprehensive plotting and information tables for educational purposes and trade analysis.
---
**Disclaimer**: This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
**Tags**: #DayTrading #Momentum #WarriorTrading #GapAndGo #ABCD #VWAP #PatternTrading #RiskManagement
RAHA Strategy - Short
Roni's Adjusted Hybrid Average โ a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers โ but rather considers them in proportion.
The RAHA Short Strategy identifies a negative trend and enters when clear technical conditions are met, such as a downward slope of RAHA 40, RAHA 10 crossing below RAHA 20, and the absence of a sequence of 3 red candles.
Entry is also made in the exceptional case of a red candle above the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop above the high, or under additional conditions below the profit target (TP).
ืืกืืจืืืืืช ืืฉืืจื RAHA ืืืืกืกืช ืขื ื ืืกืืช ืืืืฆืข ืืืืืืืช ืืฉื RAHA โ ืจืืฉื ืชืืืืช ืฉื:
Roni's Adjusted Hybrid Average โ ื ืืกืื ืฉืคืืชื ืืืจืื ืจืื ื ืคืกื.
ืืื RAHA?
ืืืืืจ ืืืืืฆืข ืืืืจืืื ืืชืืื ืืืขื ืืง ืืฉืงื ืฉืื ื ืื ืชืื ืื ืืจืืืื:
ืืขืจืืื ืืงืืฆืื ืืื (ืืืืืื ืื ื ืืืืื ืืืืืื) ืืงืืืื ืืฉืงื ื ืืื ืืืชืจ.
ืืืืฉืื ืืืืกืก ืขื ืกืืืืช ืืชืงื ืืืืืืฆืข ืฉื ืื ืชืื ืื.
ืื ืืชืงืื ืืืืฆืข ืจืืืฉ ืื ืืฆืื ืืืชืจ, ืฉืืื ื ืืชืขืื ืืืืจืืืื โ ืืื ืืชืืฉื ืืื ืืคืจืืคืืจืฆืื.
ืืกืืจืืืืืช ืืฉืืจื RAHA ืืืื ืืืื ืฉืืืืืช ืืืืฆืขืช ืื ืืกื ืืฉืืชืงืืืืื ืชื ืืื ืืื ืืื ืืจืืจืื, ืืื ืฉืืคืืข ืืืจื ืฉื RAHA 40, ืืฆืืืช RAHA 10 ืืชืืช ืโRAHA 20, ืืืืขืืจ ืจืฆืฃ ืฉื 3 ื ืจืืช ืืืืืื.
ืืื ืืกื ืืืืฆืขืช ืื ืืืงืจื ืืจืื ืฉื ื ืจ ืืืื ืืขื ืจืฆืืขืช ืืืืื ืืจ.
ืืืื ืืคืืืืฆืื ื ืงืืข ืืคื 1% ืืืืื ืืืงื ืืกืืืค.
ืืืฆืืื ืืืืฆืขืช ืืคื ืกืืืค ืืขื ืืืืื, ืื ืืชื ืืื ื ืืกืคืื ืืชืืช ืืืขื ืืจืืื (TP).
RAHA Strategy - LongThe RAHA Long Strategy is based on a unique average formula called RAHA โ an acronym for:
Roni's Adjusted Hybrid Average โ a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values โโ(particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers โ but rather considers them in proportion.
The RAHA Long Strategy identifies a positive trend and enters when clear technical conditions are met, such as an upward slope of RAHA 40, RAHA 10 crossing above RAHA 20, and the absence of a sequence of 3 green candles.
Entry is also made in the exceptional case of a green candle below the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop below the low, or under additional conditions above the profit target (TP).
ืืกืืจืืืืืช ืืืื ื RAHA ืืืืกืกืช ืขื ื ืืกืืช ืืืืฆืข ืืืืืืืช ืืฉื RAHA โ ืจืืฉื ืชืืืืช ืฉื :
Roni's Adjusted Hybrid Average โ ื ืืกืื ืฉืคืืชื ืืืจืื ืจืื ื ืคืกื.
ืืื RAHA?
ืืืืืจ ืืืืืฆืข ืืืืจืืื ืืชืืื ืืืขื ืืง ืืฉืงื ืฉืื ื ืื ืชืื ืื ืืจืืืื:
ืืขืจืืื ืืงืืฆืื ืืื (ืืืืืื ืื ื ืืืืื ืืืืืื) ืืงืืืื ืืฉืงื ื ืืื ืืืชืจ.
ืืืืฉืื ืืืืกืก ืขื ืกืืืืช ืืชืงื ืืืืืืฆืข ืฉื ืื ืชืื ืื.
ืื ืืชืงืื ืืืืฆืข ืจืืืฉ ืื ืืฆืื ืืืชืจ, ืฉืืื ื ืืชืขืื ืืืืจืืืื โ ืืื ืืชืืฉื ืืื ืืคืจืืคืืจืฆืื.
ืืกืืจืืืืืช ืืืื ื RAHA ืืืื ืืืื ืืืืืืช ืืืืฆืขืช ืื ืืกื ืืฉืืชืงืืืืื ืชื ืืื ืืื ืืื ืืจืืจืื, ืืื ืฉืืคืืข ืขืืื ืฉื RAHA 40, ืืฆืืืช RAHA 10 ืืขื RAHA 20, ืืืืขืืจ ืจืฆืฃ ืฉื 3 ื ืจืืช ืืจืืงืื.
ืืื ืืกื ืืืืฆืขืช ืื ืืืงืจื ืืจืื ืฉื ื ืจ ืืจืืง ืืชืืช ืืจืฆืืขืช ืืืืื ืืจ.
ืืืื ืืคืืืืฆืื ื ืงืืข ืืคื 1% ืืืืื ืืืงื ืืกืืืค.
ืืืฆืืื ืืืืฆืขืช ืืคื ืกืืืค ืืชืืช ืื ืืื, ืื ืืชื ืืื ื ืืกืคืื ืืขื ืืขื ืืจืืื (TP).
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]๐ง Concept & Purpose
This strategy combines several time-tested technical indicatorsโDI+/DI-, ADX, RSI, MACD, and long-term EMAsโto filter trend strength, momentum, and timing precision. The goal was to develop a multi-layered trend-following system suitable for low timeframes (tested on BTCUSDT 5m) while controlling risk with tight stop-losses, a high reward ratio, and a time-based exit to avoid long exposure in sideways markets.
โ๏ธ Components & Logic
โข ADX + DI+/DI-: Confirm the presence and direction of a strong trend.
โข RSI: Used to filter momentum bias. Buy signals require RSI > 55, sell signals < 45.
โข MACD Histogram: Ensures entry is aligned with short-term momentum shifts.
โข Strong Candle Filter: Filters out weak entries using candle body % strength.
โข EMA 600 & EMA 2400: Define long-term trend bias. Entries only occur within 25 bars after EMA crossover in trend direction.
โข Time-Based Stop: If a trade doesnโt move at least 0.75% in favor within 85 bars, it is closed to minimize stagnation.
โข Reward-Risk Management: 1% stop-loss, 7.5:1 reward-to-risk ratio.
โข One Signal Per Trend Shift: Only takes the first entry after each EMA cross.
๐ Strategy Settings & Backtest Conditions
โข Initial Capital: $10,000
โข Commission: 0.1% per trade
โข Timeframe: 5-minute
โข Test Range: JanโApr 2023
โข Sample Size: Limited (โ ๏ธ <10 trades โ experimental phase)
Backtest Results (v1.0)
This version showed:
โข โ
66.7% win rate on 3 trades
โข ๐ P/L: +11,257.46 USDT (+112.57%)
โข ๐ป Max drawdown: 5.03%
โข ๐ Profit factor: 11.01
In an earlier test configuration:
โข โ 5 trades, 0 wins
โข ๐ -14.45% total P&L
โข โ ๏ธ All losses hit the 1.5% stop
โข โ ๏ธ Profit factor: 0.00
This contrast shows how sensitive the logic is to market context and parameter tuning.
๐ก Purpose of Publication
This strategy is experimental and educational. It is open-sourced for transparency and to help other traders learn how complex indicator stacking may or may not work in real environments. The failed and improved tests are both part of the process.
โ ๏ธ Disclaimer
This script is not financial advice. Please do your own research, forward-test it thoroughly, and adjust parameters based on your asset and timeframe.
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