OPEN-SOURCE SCRIPT
Godlike Trading Strategy
Godlike Trading Strategy Explanation
This strategy combines multiple technical indicators to provide precise buy and sell signals, ensuring high accuracy in trend identification and trade execution. Here's how it works:
Indicators Used:
Supertrend:
Helps identify the overall trend (bullish or bearish).
Provides clear buy and sell signals based on price movements relative to ATR-based bands.
RSI (Relative Strength Index):
Measures momentum and identifies overbought (above 70) or oversold (below 30) conditions.
Helps avoid trades during extreme conditions and confirms trend strength.
MACD (Moving Average Convergence Divergence):
Identifies momentum shifts and trends by comparing two moving averages.
Histogram provides additional confirmation for trend strength.
Crossovers between the MACD line and the signal line indicate potential buy/sell opportunities.
ATR (Average True Range):
Measures market volatility and adjusts stop-loss levels accordingly.
How It Works:
Buy Signal:
The price is above the Supertrend line.
MACD crosses above its signal line, indicating bullish momentum.
RSI is above the oversold level but below overbought (typically between 50-70).
These conditions together confirm a strong bullish trend.
Sell Signal:
The price is below the Supertrend line.
MACD crosses below its signal line, indicating bearish momentum.
RSI is below the overbought level but above oversold (typically between 30-50).
These conditions confirm a bearish trend.
Risk Management:
Stop-loss is dynamically set using ATR to account for market volatility.
Take-profit levels can be set based on a risk-reward ratio (e.g., 1:2 or 1:3) or key support/resistance levels.
Alerts:
Alerts are triggered when buy or sell conditions are met, ensuring the trader never misses an opportunity.
Use Case:
This strategy is versatile and can be applied across various markets (cryptocurrencies, stocks, forex) and timeframes. It’s designed to:
Capture strong trends.
Avoid trades during consolidations or false breakouts.
Provide a clear, rule-based approach to trading.
This strategy combines multiple technical indicators to provide precise buy and sell signals, ensuring high accuracy in trend identification and trade execution. Here's how it works:
Indicators Used:
Supertrend:
Helps identify the overall trend (bullish or bearish).
Provides clear buy and sell signals based on price movements relative to ATR-based bands.
RSI (Relative Strength Index):
Measures momentum and identifies overbought (above 70) or oversold (below 30) conditions.
Helps avoid trades during extreme conditions and confirms trend strength.
MACD (Moving Average Convergence Divergence):
Identifies momentum shifts and trends by comparing two moving averages.
Histogram provides additional confirmation for trend strength.
Crossovers between the MACD line and the signal line indicate potential buy/sell opportunities.
ATR (Average True Range):
Measures market volatility and adjusts stop-loss levels accordingly.
How It Works:
Buy Signal:
The price is above the Supertrend line.
MACD crosses above its signal line, indicating bullish momentum.
RSI is above the oversold level but below overbought (typically between 50-70).
These conditions together confirm a strong bullish trend.
Sell Signal:
The price is below the Supertrend line.
MACD crosses below its signal line, indicating bearish momentum.
RSI is below the overbought level but above oversold (typically between 30-50).
These conditions confirm a bearish trend.
Risk Management:
Stop-loss is dynamically set using ATR to account for market volatility.
Take-profit levels can be set based on a risk-reward ratio (e.g., 1:2 or 1:3) or key support/resistance levels.
Alerts:
Alerts are triggered when buy or sell conditions are met, ensuring the trader never misses an opportunity.
Use Case:
This strategy is versatile and can be applied across various markets (cryptocurrencies, stocks, forex) and timeframes. It’s designed to:
Capture strong trends.
Avoid trades during consolidations or false breakouts.
Provide a clear, rule-based approach to trading.
Skrypt open-source
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