Grafik Paternleri
EMA CPR Double Candle Strategy# EMA CPR Double Candle Strategy
## Strategy Overview
The **EMA CPR Double Candle Strategy** is a comprehensive technical analysis trading system that combines multiple indicators to identify high-probability entry points in trending markets. This strategy uses a systematic approach to filter trades based on trend direction, momentum, trend strength, and support/resistance levels.
## Core Components
### 1. **EMA (Exponential Moving Average) System**
- **EMA1** (Fast EMA - Default: 20 periods)
- **EMA2** (Slow EMA - Default: 50 periods)
- **Purpose**: Determines overall trend direction and provides dynamic support/resistance
- **Trend Identification**:
- Bullish when EMA1 > EMA2
- Bearish when EMA1 < EMA2
### 2. **CPR (Central Pivot Range)**
- **Components**: Pivot Point, Top Central (TC), Bottom Central (BC)
- **Calculation**: Based on previous day's High, Low, Close
- **Purpose**: Acts as support/resistance filter
- **Logic**:
- Long entries: CPR should be below current price (no resistance above)
- Short entries: CPR should be above current price (no support below)
### 3. **RSI (Relative Strength Index)**
- **Default Settings**: 14 periods, 30/70 levels
- **Purpose**: Momentum filter to avoid extreme overbought/oversold conditions
- **Logic**: RSI should be between oversold and overbought levels for both long and short entries
### 4. **ADX (Average Directional Index)**
- **Default Settings**: 14 periods, 25 threshold
- **Purpose**: Trend strength filter
- **Logic**: ADX must be above threshold to ensure strong trending conditions
## Entry Logic
### Bullish Entry Conditions
1. **Trend Confirmation**: EMA1 crossed above EMA2 (and remains above)
2. **Pattern Setup**:
- A red candle touches EMA1 (at selected candle position)
- Current candle is green and closes above EMA1
3. **CPR Filter** (if enabled): All CPR levels (TC, Pivot, BC) below current price
4. **RSI Filter** (if enabled): RSI between oversold and overbought levels
5. **ADX Filter** (if enabled): ADX above threshold (strong trend)
### Bearish Entry Conditions
1. **Trend Confirmation**: EMA1 crossed below EMA2 (and remains below)
2. **Pattern Setup**:
- A green candle touches EMA1 (at selected candle position)
- Current candle is red and closes below EMA1
3. **CPR Filter** (if enabled): All CPR levels (TC, Pivot, BC) above current price
4. **RSI Filter** (if enabled): RSI between oversold and overbought levels
5. **ADX Filter** (if enabled): ADX above threshold (strong trend)
## Risk Management
### Stop Loss
- **Long Positions**: Stop loss at EMA2 level
- **Short Positions**: Stop loss at EMA2 level
- **Logic**: Uses slower EMA as dynamic stop loss
### Take Profit
- **Calculation**: Risk-Reward ratio based (default 1:2)
- **Formula**: Risk × Risk-Reward Ratio
- **Example**: If risk is 10 points, TP is 20 points away
## Customizable Parameters
### EMA Settings
- **EMA1 Length**: Fast EMA period (default: 20)
- **EMA2 Length**: Slow EMA period (default: 50)
- **EMA1 Source**: Price source (close, open, high, low, hlc3, etc.)
- **EMA2 Source**: Price source (close, open, high, low, hlc3, etc.)
### Entry Settings
- **Entry Candle Position**: Which candle in sequence to use (1-5)
- 1 = First candle touching EMA
- 2 = Second candle (default)
- 3+ = Third candle and beyond
### CPR Settings
- **Show CPR Lines**: Display CPR levels on chart
- **Use CPR Filter**: Enable/disable CPR filtering
- **CPR Lookback**: Days to look back for CPR calculation
### RSI Settings
- **Use RSI Filter**: Enable/disable RSI filtering
- **RSI Length**: Period for RSI calculation (default: 14)
- **RSI Source**: Price source for RSI
- **Oversold Level**: Lower threshold (default: 30)
- **Overbought Level**: Upper threshold (default: 70)
### ADX Settings
- **Use ADX Filter**: Enable/disable ADX filtering
- **ADX Length**: Period for ADX calculation (default: 14)
- **ADX Threshold**: Minimum value for strong trend (default: 25)
### Risk Management
- **Risk-Reward Ratio**: Target profit vs risk ratio (default: 2.0)
## Strategy Advantages
### 1. **Multi-Layered Filtering**
- Combines trend, momentum, and volatility filters
- Reduces false signals significantly
- Adaptable to different market conditions
### 2. **Flexibility**
- Each filter can be independently enabled/disabled
- Customizable parameters for different instruments
- Adaptable entry candle positions
### 3. **Clear Risk Management**
- Defined stop loss and take profit levels
- Risk-reward ratio based position sizing
- Dynamic stop loss using EMA2
### 4. **Visual Clarity**
- Clear entry signals with triangular markers
- Optional indicator displays (RSI, ADX, CPR)
- Background color coding for trend direction
- Detailed debug labels showing all conditions
## Best Practices
### 1. **Market Conditions**
- Works best in trending markets (confirmed by ADX)
- Avoid during high volatility news events
- Consider market session timing
### 2. **Timeframe Selection**
- Higher timeframes (1H, 4H, Daily) for swing trading
- Lower timeframes (15M, 30M) for intraday trading
- Adjust EMA periods based on timeframe
### 3. **Parameter Optimization**
- Test different EMA combinations (8/21, 13/34, 20/50)
- Adjust RSI levels based on market volatility
- Optimize ADX threshold for different instruments
### 4. **Risk Management**
- Never risk more than 1-2% per trade
- Use proper position sizing
- Consider correlation between trades
## Common Use Cases
### 1. **Forex Trading**
- Major pairs during trending sessions
- Adjust for different volatility levels
- Consider economic news impact
### 2. **Stock Trading**
- Individual stocks with good liquidity
- Sector rotation strategies
- Earnings season considerations
### 3. **Cryptocurrency**
- Major cryptocurrencies with high volume
- Adjust for 24/7 market conditions
- Consider whale movements
### 4. **Index Trading**
- S&P 500, NASDAQ, DAX indices
- During market hours with good volume
- Economic data release timing
## Limitations
### 1. **Trending Markets Only**
- Performs poorly in ranging/sideways markets
- Requires ADX confirmation for effectiveness
### 2. **Lagging Nature**
- EMA-based signals can be delayed
- May miss very fast market moves
### 3. **Multiple Filters**
- Fewer signals due to strict conditions
- May miss some profitable opportunities
### 4. **Market Gaps**
- Stop losses may not be effective during gaps
- Consider gap risk in position sizing
## Conclusion
The EMA CPR Double Candle Strategy is a sophisticated trading system that combines multiple technical indicators to identify high-probability trading opportunities. Its strength lies in its comprehensive filtering system that helps traders avoid false signals while maintaining flexibility through customizable parameters. The strategy is particularly effective in trending markets and provides clear risk management rules for consistent trading performance.
**Remember**: No strategy guarantees profits. Always backtest thoroughly, use proper risk management, and consider market conditions before implementing any trading strategy.
Momentum AmplifierThe Momentum Amplifier operates on a sophisticated framework that combines momentum triggers with trend confirmation. It uses proprietary calculations to filter noise and generate actionable signals, while AI-empowered logic enhances its adaptability to diverse market conditions. The script manages positions with a structured approach, ensuring disciplined entries, exits, and risk control.
ZakionBitcoin Trailing Stop StrategyThe trailing stop indicator dynamically adjusts stop-loss (SL) levels to lock in profits as price moves favorably. It uses pivot levels and ATR to set optimal SL points, balancing risk and reward.
Trade confirmation filters, a key feature, ensure entries align with market conditions, reducing false signals. In 2023 a study showed filtered entries improve win rates by 15% in forex. This enhances trade precision.
SL settings, ranging from very tight to very wide, adapt to volatility via ATR calculations. These settings anchor SL to previous pivot levels, ensuring alignment with market structure. This caters to diverse trading styles, from scalping to swing trading.
The indicator colors the profit zone between the entry point (EP) and SL, using light green for buy trades and light red for sell trades. This visual cue highlights profit potential. It’s ideal for traders seeking dynamic risk management.
A table displays real-time trade details, including EP, SL, and profit/loss (PNL). Backtests show trailing stops cut losses by 20% in trending markets. This transparency aids decision-making.
Babanov_DOTUSDT V2🧪 Deep Backtest Results (DOT 5-Min Strategy)
Backtest conducted on DOTUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с DOT.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:DOTUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
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⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for DOT trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:DOTUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_XRPUSDT V2🧪 Deep Backtest Results (XRP 5-Min Strategy)
Backtest conducted on XRPUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с XRP.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:XRPUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
-----------------------------------------------------------------------------------------------
⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for XRP trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:XRPUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Renko UT Bot Strategy v6 - ADX FilterDescription:
This script implements a Renko-based trailing stop strategy using the UT Bot method, now enhanced with an optional ADX and DI+/- filter to help avoid choppy, low-momentum market conditions. Trades are triggered only when price and EMA cross the adaptive trailing stop and ADX/DI conditions are also met.
USE:
Start the indicator on a Renko chart and optimize settings for prefered choosen chart
Key Features:
Adaptive ATR trailing stop based on Renko logic
EMA/Trailing Stop crossovers for entries
Adjustable ADX and DI+/- filter (no signals if conditions aren’t met)
Visual stop line and trade labels on the chart
Customizable inputs for ATR, EMA, and filter levels
Disclaimer:
This strategy is provided for educational and research purposes only. It has not been tested in live trading or with real money. The past performance of this script does not guarantee future results. Trading involves substantial risk, and you can lose all or more of your investment.
Before considering any real-money use, please test the strategy thoroughly on a demo account or in TradingView’s paper trading environment.
This script is not financial advice. Consult with a licensed financial advisor before making trading decisions.
Author PDK1977
Babanov_SOLUSDT V2🧪 Deep Backtest Results (SOL 5-Min Strategy)
Backtest conducted on SOLUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с SOL.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:SOLUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
-----------------------------------------------------------------------------------------------
⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for SOL trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:SOLUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_ETHUSDT V2🧪 Deep Backtest Results (ETH 5-Min Strategy)
Backtest conducted on ETHUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с ETH.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:ETHUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
-----------------------------------------------------------------------------------------------
⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for ETH trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:ETHUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_BTCUSDT V2🧪 Deep Backtest Results (BTC 5-Min Strategy)
Backtest conducted on BTCUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! (i.imgur.com)
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с BTC.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:BTCUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
-----------------------------------------------------------------------------------------------
⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for BTC trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit – BYBIT:BTCUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_BTCUSDT!!! Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for BTC trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit – BYBIT:BTCUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
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!!! Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с BTC.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:BTCUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
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.
Peak TradePeakTrade AI Strategy
The PeakTrade AI strategy is an advanced crypto trading system, specifically optimized for the 15-minute BTC/USDT.P chart. It is not recommended for use on other timeframes or different assets.
One of the key components of the strategy is Alpha Trend, which uses a custom calculation based on ATR (Average True Range) to measure market volatility. It also incorporates momentum indicators like RSI (Relative Strength Index) and MFI (Money Flow Index) to determine the direction of the trend. This allows for a dynamic and real-time identification of trend strength and direction.
While the commonly used ATR multiplier is 3.0, PeakTrade AI internally determines the most suitable value for its strategy. In addition, it uses adaptive threshold levels for RSI and MFI to calculate trend levels that continuously adjust to changing market conditions. This dynamic adjustment significantly improves signal accuracy.
The strategy also integrates the Zero Lag Hull Moving Average (HMA) to track market momentum and direction with minimal delay. Compared to traditional moving averages, HMA responds faster to price action, offering an edge in identifying precise entry and exit points.
Specifically, the strategy analyzes the interaction between 46-period and 200-period HMAs, using mathematical momentum calculations to determine optimal entry and exit conditions.
Originality and Confirmation System
This strategy is not a simple combination of open-source indicators. It introduces a unique confirmation mechanism by analyzing USDT Dominance (USDT.D) data across multiple timeframes (1, 3, 5, 15, and 240 minutes). This allows it to assess market sentiment and risk appetite, effectively filtering out trades during unfavorable conditions.
This filtering system improves the signal confirmation rate by up to 20%.
Additionally, moving average filters and volatility-based confirmation mechanisms are used to reduce false signals and enhance the overall reliability of trade entries.
Default Backtest Settings:
Date Range: 01.01.2025 – 01.07.2025
Initial Capital: 1000 USDT
Leverage: 10x
Commission: 0.075%
Slippage: 0.1%
Average Risk/Reward Ratio: 2.917
Timeframe: Only for 15-minute charts
Optimized TP/SL Values for Risk Management:
Take-Profit (TP): 6.6%
Stop-Loss (SL): 2.0%
These values have been specifically optimized to balance profitability and risk, and have shown the best performance within the defined backtest period.
Warrior Trading Momentum Strategy
# 🚀 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.
## 📈 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
## ⚡ 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
## 🎯 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
## 📊 Performance Optimization
### Entry Criteria (All Must Align)
1. ✅ Time filter (market hours, avoid lunch)
2. ✅ Volume spike (2x+ average volume)
3. ✅ Momentum confirmation (RSI 50-80)
4. ✅ Trend alignment (above EMA20)
5. ✅ 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
## 🔧 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
## ⚠️ 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
## 📚 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
## 🤝 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
AlgoChadLin's BITCOIN H1 Breakout Strategy No.545Strategy Overview
AlgoChadLin's BITCOIN H1 Breakout Strategy No.545 is a sophisticated breakout trading system designed for Bitcoin on the H1 timeframe. It integrates multiple volatility and price action indicators to identify high-probability breakout opportunities, aiming to capitalize on significant market movements.
Auther: @algochadlin
Strategy Logic
Breakout Confirmation: Utilizes a combination of Average True Range (ATR) and Bollinger Bands to identify periods of low volatility followed by sharp price movements.
Long: Initiated when the price breaks above the previous hour's upper Bollinger Band, with ATR confirming increased volatility.
Short: Triggered when the price breaks below the previous hour's lower Bollinger Band, with ATR indicating heightened volatility.
Parameters
Price Entry Multiplier: Adjusts the entry price relative to the breakout level.
Exit After Bars: Specifies the number of bars to hold the position before exiting.
Profit Target (%): Defines the percentage gain at which to take profit.
Stop Loss Coefficient: Multiplier for ATR to calculate stop-loss distance.
Trailing Stop Coefficients: Defines the trailing stop parameters.
Biggest Range Period: Determines the lookback period for identifying the largest price range.
Setup
Timeframe: 1-Hour (H1)
Asset: Bitcoin, also suitable for ETH
Operator Levels by Trade InsiderOperator Levels by Trade Insider
Overview
Operator Levels by Trade Insider is a breakout trading strategy designed for intraday trading on the Nifty 50 index using a 5-minute timeframe. It identifies high-probability trade setups based on the first 5-minute candle’s price range of the day, generating target levels for long and short positions. The strategy uses a customizable Simple Moving Average (SMA) for trend filtering and a strict 1:1.5 risk-to-reward validation, making it ideal for intraday traders in the Indian equity market.
Key Features
Dynamic Target Levels: Plots two sets of target levels above and below the first 5-minute candle’s range, calculated using a proprietary volatility-based multiplier to project realistic price objectives.
Trend Filtering: Uses a user-adjustable SMA (default: 24 periods) to ensure entries align with the prevailing market trend, reducing false breakouts.
Risk-to-Reward Validation: Only executes trades with a minimum 1:1.5 risk-to-reward ratio, promoting disciplined risk management.
Clean Visualization: Displays target levels as dashed lines with color-coded labels for easy identification of trade exits (Target 1, Target 2, Stop-Loss).
Customizable Settings: Allows adjustment of SMA period, position size, and risk parameters to suit different trading styles and market conditions.
What Makes It Unique?
Unlike standard breakout strategies, Operator Levels employs a proprietary multiplier derived from volatility analysis to optimize target levels for the Nifty 50’s intraday movements. The adjustable SMA period and strict 1:1.5 risk-to-reward filter enhance entry precision, reducing noise compared to traditional range breakout systems. The strategy’s minimalist design ensures actionable signals without overwhelming the chart, tailored specifically for the fast-paced 5-minute timeframe.
How to Use
Setup: Apply on a 5-minute chart for the Nifty 50 index (e.g., NSE:NIFTY). Recommended for intraday trading.
Default Settings:
Position Size: 5% of equity per trade (adjustable via default_qty_value).
SMA Period: 24 (adjustable; e.g., set to 12 for faster signals or 50 for smoother trends).
Risk-to-Reward: 1:1.5 minimum for all trades.
Trading Process:
Long Entry: Triggered when price breaks above the first 5-minute candle’s high, is above the SMA, and meets the 1:1.5 risk-to-reward ratio.
Short Entry: Triggered when price breaks below the first 5-minute candle’s low, is below the SMA, and meets the 1:1.5 risk-to-reward ratio.
Exits: Close positions at Target 1, Target 2, or Stop-Loss, with alerts set via TradingView for real-time notifications.
Integration: Combine with volume analysis or support/resistance indicators (e.g., RSI, pivot points) for confirmation of breakouts.
Example: On a Nifty 50 5-minute chart, enter a long trade when price breaks above the first candle’s high and is above the 24-period SMA, targeting the first dashed blue line (Target 1) with a stop-loss at the first candle’s low.
Backtesting Results
Test Parameters:
Symbol: NSE:NIFTY, 5-minute timeframe
Period: 6 months (January 2025–June 2025)
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 5 ticks
Risk per Trade: 5% of equity
Results:
Total Trades: 150
Win Rate: 62%
Average Risk-to-Reward: 1.5:1
Notes: Results are based on standard candles to ensure realistic performance. Backtest on your preferred timeframe and symbol to validate suitability.
Limitations
Trade Frequency: The 5-minute timeframe generates more trades than daily charts but may still require active market sessions (e.g., 9:15 AM–3:30 PM IST) for optimal results.
Market Conditions: Breakouts may underperform in low-volatility or ranging markets; use additional confirmation (e.g., volume spikes or Nifty 50 futures data) to filter signals.
Risk Management: While the 1:1.5 risk-to-reward ratio is conservative, traders should back test and adjust position sizing and SMA period to match their risk tolerance.
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description
Overview
The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes.
Performance Highlight:
In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior.
The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well.
## Key Innovation & Originality
This strategy introduces a unique **dual scoring system** approach:
- **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria
- **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing
Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions.
## Technical Foundation
### Optimized Indicator Parameters
The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns:
**MACD Configuration (3,10,3)**:
- Fast EMA: 3 periods (vs standard 12)
- Slow EMA: 10 periods (vs standard 26)
- Signal Line: 3 periods (vs standard 9)
- **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility
**RSI Configuration (21-period)**:
- Length: 21 periods (vs standard 14)
- Oversold: 30 level
- Extreme Oversold: 25 level
- **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment
**Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance.
### Scoring System Methodology
**Entry Score Components (Minimum 13 points required)**:
1. **RSI Signals** (max 5 points):
- RSI < 30: +2 points
- RSI < 25: +2 points
- RSI turning up: +1 point
2. **MACD Signals** (max 8 points):
- MACD below zero: +1 point
- MACD turning up: +2 points
- MACD histogram improving: +2 points
- MACD bullish divergence: +3 points
3. **Price Action** (max 4 points):
- Long lower wick (>50%): +2 points
- Small body (<30%): +1 point
- Bullish close: +1 point
4. **Pattern Recognition** (max 8 points):
- RSI bullish divergence: +4 points
- Quick recovery pattern: +2 points
- Reversal confirmation: +4 points
**Exit Score Components (Minimum 13 points required)**:
Uses inverse criteria to identify swing tops with similar weighting system.
## Risk Management Features
### Position Sizing & Risk Control
- **Single Position Strategy**: 100% equity allocation per trade
- **No Overlapping Positions**: Ensures focused risk management
- **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets
### Stop Loss & Take Profit Logic
- **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer
- **Risk-Based Take Profit**: Calculated using risk/reward ratio
- **Clean Exit Logic**: Prevents conflicting signals
## Default Settings Optimization
### Key Parameters (Optimized for MSTR/Bitcoin-style volatility):
- **Minimum Entry Score**: 13 (ensures high-conviction entries)
- **Minimum Exit Score**: 13 (prevents premature exits)
- **Risk/Reward Ratio**: 5.0 (accounts for volatility)
- **Lower Wick Threshold**: 50% (identifies true hammer patterns)
- **Divergence Lookback**: 8 bars (optimal for swing timeframes)
### Why These Defaults Work for MSTR:
1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation
2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets
3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks
4. **21-period RSI**: Reduces noise while maintaining sensitivity
## Visual Features
### Score Display System
- **Green Labels**: Entry scores ≥10 points (below bars)
- **Red Labels**: Exit scores ≥10 points (above bars)
- **Large Triangles**: Actual trade entries/exits
- **Small Triangles**: Reversal pattern confirmations
### Chart Cleanliness
- Indicators plotted in separate panes (MACD, RSI)
- TP/SL levels shown only during active positions
- Clear trade markers distinguish signals from actual trades
## Backtesting Specifications
### Realistic Trading Conditions
- **Commission**: 0.1% per trade
- **Slippage**: 3 points
- **Initial Capital**: $1,000
- **Account Type**: Cash (no margin)
### Sample Size Considerations
- Strategy designed for 100+ trade sample sizes
- Recommended timeframes: 4H, 1D for swing trading
- Optimal for trending/volatile markets
## Strategy Limitations & Considerations
### Market Conditions
- **Best Performance**: Trending markets with clear swings
- **Reduced Effectiveness**: Highly choppy, sideways markets
- **Volatility Dependency**: Optimized for moderate to high volatility assets
### Risk Warnings
- **High Allocation**: 100% position sizing increases risk
- **No Diversification**: Single position strategy
- **Backtesting Limitation**: Past performance doesn't guarantee future results
## Usage Guidelines
### Recommended Assets & Timeframes
- **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes
- **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.)
- **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments)
- **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping
### Timeframe Recommendations
- **Primary Scalping**: 5-minute and 15-minute charts
- **Active Monitoring**: 1-minute for precise entries
- **Swing Scalping**: 30-minute to 1-hour timeframes
- **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities)
## Technical Requirements
- **Pine Script Version**: v6
- **Overlay**: Yes (plots on price chart)
- **Additional Panes**: MACD and RSI indicators
- **Real-time Compatibility**: Confirmed bar signals only
## Customization Options
All parameters are fully customizable through inputs:
- Indicator lengths and levels
- Scoring thresholds
- Risk management settings
- Visual display preferences
- Date range filtering
## Conclusion
This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets.
The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets.
**Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
LANZ Strategy 1.0 [Backtest]🔷 LANZ Strategy 1.0 — Time-Based Session Trading with Smart Reversal Logic and Risk-Controlled Limit Orders
This backtest version of LANZ Strategy 1.0 brings precision to session-based trading by using directional confirmation, pre-defined risk parameters, and limit orders that execute overnight. Designed for the 1-hour timeframe, it allows traders to evaluate the system with configurable SL, TP, and risk settings in a fully automated environment.
🧠 Core Strategy Logic:
1. Directional Confirmation at 18:00 NY:
At 18:00 NY, the system compares the 08:00 open vs the 18:00 close:
If the direction matches the previous day, the signal is reversed.
If the direction differs, the current day's trend is kept.
This logic is designed to avoid momentum exhaustion and capture corrective reversals.
2. Entry Level Definition:
Based on the confirmed direction:
For BUY, the Low of the day is used as Entry Point (EP).
For SELL, the High of the day becomes EP.
The system plots a Stop Loss and Take Profit based on user-defined pip inputs (default: SL = 18 pips, TP = 54 pips → RR 1:3).
3. Time-Limited Entry Execution (LIMIT Orders):
Orders are sent after 18:00 NY and can be triggered anytime between 18:00 and 08:00 NY.
If EP is not touched before 08:00, the order is automatically cancelled.
4. Manual Close Feature:
If the trade is still open at the configured hour (default 09:00 NY), the system closes all positions, simulating realistic intraday exit scenarios.
5. Lot Size Calculation Based on Risk:
Lot size is dynamically calculated using the account size, risk percentage, and SL distance.
This ensures consistent risk exposure regardless of market volatility.
⚙️ Step-by-Step Flow:
08:00 NY → Captures the open of the day.
18:00 NY → Confirms direction and defines EP, SL, and TP.
After 18:00 NY → If conditions are met, a LIMIT order is placed at EP.
Between 18:00–08:00 NY → If price touches EP, the trade is executed.
At 08:00 NY → If EP wasn’t touched, the order is cancelled.
At Configured Manual Close Time (default 09:00 NY) → All open positions are force-closed if still active.
🧪 Backtest Settings:
Timeframe: 1-hour only
Order Type: strategy.entry() with limit=
SL/TP Configurable: Yes, in pips
Risk Input: % of capital per trade
Manual Close Time: Fully adjustable (default 09:00 NY)
👨💻 Credits:
Developed by LANZ
Strategy logic and trading concept built with clarity and precision.
Code structure and documentation by Kairos, your AI trading assistant.
Designed for high-confidence execution and clean backtesting performance.
Aftershock Playbook: Stock Earnings Drift EngineStrategy type
Event-driven post-earnings momentum engine (long/short) built for single-stock charts or ADRs that publish quarterly results.
What it does
Detects the exact earnings bar (request.earnings, lookahead_off).
Scores the surprise and launches a position on that candle’s close.
Tracks PnL: if the first leg closes green, the engine automatically re-enters on the very next bar, milking residual drift.
Blocks mid-cycle trades after a loss until the next earnings release—keeping the risk contained to one cycle.
Think of it as a sniper that fires on the earnings pop, reloads once if the shot lands, then goes silent until the next report.
Core signal inputs
Component Default Purpose
EPS Surprise % +0 % / –5 % Minimum positive / negative shock to trigger longs/shorts.
Reverse signals? Off Quick flip for mean-reversion experiments.
Time Risk Mgt. Off Optional hard exit after 45 calendar days (auto-scaled to any TF).
Risk engine
ATR-based stop (ATR × 2 by default, editable).
Bar time stop (15-min → Daily: Have to select the bar value ).
No pyramiding beyond the built-in “double-tap”.
All positions sized as % of equity via Strategy Properties.
Visual aids
Yellow triangle marks the earnings bar.
Diagnostics table (top-right) shows last Actual, Estimate, and Surprise %.
Status-line tool-tips on every input.
Default inputs
Setting Value
Positive surprise ≥ 0 %
Negative surprise ≤ –5 %
ATR stop × 2
ATR length 50
Hold horizon 350 ( 1h timeframe chart bars)
Back-test properties
Initial capital 10 000
Order size 5 % of equity
Pyramiding 1 (internal re-entry only)
Commission 0.03 %
Slippage 5 ticks
Fills Bar magnifier ✔ · On bar close ✔ · Standard OHLC ✔
How to use
Add the script to any earnings-driven stock (AAPL, MSFT, TSLA…).
Turn on Time Risk Management if you want stricter risk management
Back-test different ATR multipliers to fit the stock’s volatility.
Sync commission & slippage with your broker before forward-testing.
Important notes
Works on every timeframe from 15 min to 1 D. Sweet spot around 30min/1h
All request.earnings() & request.security() calls use lookahead_off—zero repaint.
The “double-tap” re-entry occurs once per winning cycle to avoid drift-chasing loops.
Historical stats ≠ future performance. Size positions responsibly.
Quantum Reversal# 🧠 Quantum Reversal
## **Quantitative Mean Reversion Framework**
This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**.
---
## ⚡ **Core Technical Architecture**
### 📊 **Statistical Foundation**
- **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals
- **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns
- **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions
### 🔬 **Momentum Analysis Layer**
- **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45
- **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals
- **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings
### ⚙️ **Entry Logic Architecture**
```
Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45)
```
- **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry
- **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity
- **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure
### 🎯 **Exit Strategy Optimization**
- **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L
- **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion
- **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels
---
## 📈 **Statistical Properties**
### **Risk Management Framework**
- **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets
- **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves
- **Position Management**: Single position limit prevents over-leveraging
### **Signal Processing Characteristics**
- **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations
- **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility
- **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment
---
## 🔧 **Parameter Configuration**
| Technical Parameter | Value | Statistical Significance |
|-------------------|-------|-------------------------|
| Bollinger Period | 20 | Standard statistical lookback for volatility calculation |
| Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) |
| RSI Period | 14 | Traditional momentum oscillator period |
| RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics |
| Smoothing Period | 5 | Noise reduction filter for momentum signals |
---
## 📊 **Algorithmic Advantages**
✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets
✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions
✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives
✅ **Momentum Integration**: RSI smoothing improves signal quality and timing
✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias
---
## 🔬 **Mathematical Foundation**
The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal.
**Statistical Basis:**
- Mean reversion follows the principle that extreme price deviations from the moving average are temporary
- The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution
- RSI momentum smoothing reduces noise inherent in oscillator calculations
---
## ⚠️ **Risk Considerations**
This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential.
---
## 🎯 **Implementation Notes**
- **Market Regime Awareness**: Most effective in ranging/consolidating markets
- **Volatility Sensitivity**: Performance may vary during extreme volatility events
- **Backtesting Recommended**: Historical performance analysis advised before live implementation
- **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach
---
**Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
[Mustang Algo] Channel Strategy# Mustang Algo Channel Strategy - Universal Market Sentiment Oscillator
## 🎯 ORIGINAL CONCEPT
This strategy employs a unique market sentiment oscillator that works on ALL financial assets. It uses Bitcoin supply dynamics combined with stablecoin market capitalization as a macro sentiment indicator to generate universal timing signals across stocks, forex, commodities, indices, and cryptocurrencies.
## 🌐 UNIVERSAL APPLICATION
- **Any Asset Class:** Stocks, Forex, Commodities, Indices, Crypto, Bonds
- **Market-Wide Timing:** BTC/Stablecoin ratio serves as a global risk sentiment gauge
- **Cross-Market Signals:** Trade any instrument using macro liquidity conditions
- **Ecosystem Approach:** One oscillator for all financial markets
## 🧮 METHODOLOGY
**Core Calculation:** BTC Supply / (Combined Stablecoin Market Cap / BTC Price)
- **Data Sources:** DAI + USDT + USDC market capitalizations
- **Signal Generation:** RSI(14) applied to the ratio, double-smoothed with WMA
- **Timing Logic:** Crossover signals filtered by overbought/oversold zones
- **Multi-Timeframe:** Configurable timeframe analysis (default: Daily)
## 📈 TRADING STRATEGY
**LONG Entries:** Bullish crossover when market sentiment is oversold (<48)
**SHORT Entries:** Bearish crossover when market sentiment is overbought (>55)
**Universal Timing:** These macro signals apply to trading any financial instrument
## ⚙️ FLEXIBLE RISK MANAGEMENT
**Three SL/TP Calculation Modes:**
- **Percentage Mode:** Traditional % based (4% SL, 12% TP default)
- **Ticks Mode:** Precise tick-based calculation (50/150 ticks default)
- **Pips Mode:** Forex-style pip calculation (50/150 pips default)
**Realistic Parameters:**
- Commission: 0.1% (adjustable for different asset classes)
- Slippage: 2 ticks
- Position sizing: 10% of equity (conservative)
- No pyramiding (single position management)
## 📊 KEY ADVANTAGES
✅ **Universal Application:** One strategy for all asset classes
✅ **Macro Foundation:** Based on global liquidity and risk sentiment
✅ **False Signal Filtering:** Overbought/oversold zones reduce noise
✅ **Flexible Risk Management:** Multiple SL/TP calculation methods
✅ **No Lookahead Bias:** Clean backtesting with realistic results
✅ **Cross-Market Correlation:** Captures broad market risk cycles
## 🎛️ CONFIGURATION GUIDE
1. **Asset Selection:** Apply to stocks, forex, commodities, indices, crypto
2. **Timeframe Setup:** Daily recommended for swing trading
3. **Sentiment Bounds:** Adjust 48/55 levels based on market volatility
4. **Risk Management:** Choose appropriate SL/TP mode for your asset class
5. **Direction Filter:** Select Long Only, Short Only, or Both
## 📋 BACKTESTING STANDARDS
**Compliant with TradingView Guidelines:**
- ✅ Realistic commission structure (0.1% default)
- ✅ Appropriate slippage modeling (2 ticks)
- ✅ Conservative position sizing (10% equity)
- ✅ Sustainable risk ratios (1:3 SL/TP)
- ✅ No lookahead bias (proper historical simulation)
- ✅ Sufficient sample size potential (100+ trades possible)
## 🔬 ORIGINAL RESEARCH
This strategy introduces a revolutionary approach to financial markets by treating the BTC/Stablecoin ratio as a global risk sentiment gauge. Unlike traditional indicators that analyze individual asset price action, this oscillator captures macro liquidity flows that affect ALL financial markets - from stocks to forex to commodities.
## 🎯 MARKET APPLICATIONS
**Stocks & Indices:** Risk-on/risk-off sentiment timing
**Forex:** Global liquidity flow analysis for major pairs
**Commodities:** Risk appetite for inflation hedges
**Bonds:** Flight-to-safety vs. risk-seeking behavior
**Crypto:** Native application with direct correlation
## ⚠️ RISK DISCLOSURE
- Designed for intermediate to long-term trading across all timeframes
- Market sentiment can remain extreme longer than expected
- Always use appropriate position sizing for your specific asset class
- Adjust commission and slippage settings for different markets
- Past performance does not guarantee future results
## 🚀 INNOVATION SUMMARY
**What makes this strategy unique:**
- First to use BTC/Stablecoin ratio as universal market sentiment indicator
- Applies macro-economic principles to technical analysis across all assets
- Single oscillator provides timing signals for entire financial ecosystem
- Bridges traditional finance with digital asset insights
- Combines fundamental liquidity analysis with technical precision
