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The MACDZeroCrossStrategy.py is a trading strategy designed to leverage the Moving Average Convergence Divergence (MACD) indicator for identifying potential trading opportunities. This strategy focuses on capturing market movements by monitoring the MACD line crossing above or below the signal line.

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ingpawat/Freqtrade-strategy-MACDZeroCrossStrategy

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MACD Zero-Cross Strategy Backtest Report (2018-2025)

⚠️ Disclaimer

Past performance does not guarantee future results. This report is based on historical data and simulated trading. Market conditions can change, and results may vary.


📊 Backtesting Summary

Strategy Summary for MACDZeroCrossStrategy.py

Introduction

This document provides a summary of the performance of the MACDZeroCrossStrategy.py across different time frames.

Pairing List

Strategy Performance Across Different Time Frames with initial capital 1,000 USDT

6H Summary

Strategy Trades Avg Profit % Tot Profit USDT Tot Profit % Avg Duration Loss Win % Drawdown USDT Drawdown %
MACDZeroCross 2611 4.09 1625.506 162.55 6 days, 23:31:00 730 28.0 218.771 7.73

8H Summary

Strategy Trades Avg Profit % Tot Profit USDT Tot Profit % Avg Duration Loss Win % Drawdown USDT Drawdown %
MACDZeroCross 1904 5.62 1630.066 163.01 9 days, 10:12:00 542 28.5 185.794 9.68

12H Summary

Strategy Trades Avg Profit % Tot Profit USDT Tot Profit % Avg Duration Loss Win % Drawdown USDT Drawdown %
MACDZeroCross 1221 10.20 1961.400 196.14 14 days, 8:38:00 366 30.0 210.123 9.94

1D Summary

Strategy Trades Avg Profit % Tot Profit USDT Tot Profit % Avg Duration Loss Win % Drawdown USDT Drawdown %
MACDZeroCross 551 25.80 2187.793 218.78 30 days, 13:17:00 196 35.6 267.184 8.37

1W Summary

Strategy Trades Avg Profit % Tot Profit USDT Tot Profit % Avg Duration Loss Win % Drawdown USDT Drawdown %
MACDZeroCross 75 67.98 528.294 52.83 161 days, 6:43:00 26 34.7 78.611 5.34

Conclusion

The MACDZeroCrossStrategy.py demonstrates varying performance across different time frames, with the 1D time frame yielding the highest total profit in USDT. The strategy's effectiveness is evident in its ability to maintain a positive profit margin across all time frames, though the drawdown percentages indicate potential risks associated with each time frame.

Future Improvements

  • Risk Management: Implement more sophisticated risk management techniques to reduce drawdowns.
  • Strategy Optimization: Consider optimizing the strategy parameters for each time frame to enhance performance.
  • Diversification: Explore diversifying the strategy across multiple assets to mitigate risk and increase potential returns.

About

The MACDZeroCrossStrategy.py is a trading strategy designed to leverage the Moving Average Convergence Divergence (MACD) indicator for identifying potential trading opportunities. This strategy focuses on capturing market movements by monitoring the MACD line crossing above or below the signal line.

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