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The "mabStra" strategy, developed by @Mablue (Masoud Azizi), is a trading strategy designed to be backtested on a backtesting website. The strategy uses various technical indicators from the "talib" library to generate buy and sell signals. Here are the important parts of the strategy:
Importing Libraries: The strategy imports required libraries, including the "talib" library for technical analysis.
Strategy Parameters: The strategy defines several parameters that can be adjusted during backtesting.
These parameters include timeframes for moving averages and thresholds for buy and sell signals.
Indicator Calculation: The strategy calculates moving averages (MA) using different timeframes for both buying and selling. It uses the "talib" library to calculate these indicators. Buy Signal Generation: The strategy generates buy signals based on specific conditions. It checks if the ratio of the "buy-mojoMA" to "buy-fastMA" is within a certain range and if the ratio of "buy-fastMA" to "buy-slowMA" is also within a certain range. If these conditions are met, a buy signal is generated. Sell Signal Generation: Similarly, the strategy generates sell signals based on specific conditions. It checks if the ratio of the "sell-fastMA" to "sell-mojoMA" is within a certain range and if the ratio of "sell-slowMA" to "sell-fastMA" is also within a certain range. If these conditions are met, a sell signal is generated. The strategy also includes predefined ROI (Return on Investment) and stop-loss values. It is recommended to use the "hyperopt" feature of the "freqtrade" library to optimize the strategy parameters. The GitHub repository of the author is provided for further reference.
Strategy Parameters: The strategy defines several parameters that can be adjusted during backtesting.
These parameters include timeframes for moving averages and thresholds for buy and sell signals.
Indicator Calculation: The strategy calculates moving averages (MA) using different timeframes for both buying and selling. It uses the "talib" library to calculate these indicators. Buy Signal Generation: The strategy generates buy signals based on specific conditions. It checks if the ratio of the "buy-mojoMA" to "buy-fastMA" is within a certain range and if the ratio of "buy-fastMA" to "buy-slowMA" is also within a certain range. If these conditions are met, a buy signal is generated. Sell Signal Generation: Similarly, the strategy generates sell signals based on specific conditions. It checks if the ratio of the "sell-fastMA" to "sell-mojoMA" is within a certain range and if the ratio of "sell-slowMA" to "sell-fastMA" is also within a certain range. If these conditions are met, a sell signal is generated. The strategy also includes predefined ROI (Return on Investment) and stop-loss values. It is recommended to use the "hyperopt" feature of the "freqtrade" library to optimize the strategy parameters. The GitHub repository of the author is provided for further reference.
stoploss: -0.112 timeframe: 1m hash(sha256): b4d69a14004d9623fd975f37c30b16766ecd3e6e4d0e56cb7ad5a07c0099eb35 indicators: buymojoMA buyfastMA buyslowMA sellfastMA sellslowMA sellmojoMA
No similar strategies found. (based on used indicators)
last change: 2024-04-28 08:33:07