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The Zeus Strategy is a trading strategy implemented in Python for backtesting on a website. It is the first generation of the GodStra Strategy and aims to achieve maximum average/mid profit in USDT. The author of the strategy is Mablue (Masoud Azizi) and the strategy can be found on GitHub at https://github.com/mablue/.
To run the strategy, the TA (Technical Analysis) library needs to be installed using the command "pip install ta".
The strategy utilizes various libraries and modules such as pandas, ta, freqtrade, numpy, and functools.
The strategy class S23 extends the IStrategy interface and implements several methods to define the buying and selling conditions. It also includes hyperparameters for optimization. The strategy uses technical indicators such as Ichimoku Base Line and the Know Sure Thing (KST) indicator. The populate_indicators method calculates these indicators and normalizes their values. The populate_buy_trend and populate_sell_trend methods define the conditions for buying and selling based on the calculated indicators and the hyperparameters. The strategy has predefined parameters for buying and selling, including categorical and real values. It also defines a minimal ROI (Return on Investment) table and a stop-loss value. Overall, the Zeus Strategy aims to maximize profit by using technical indicators and predefined parameters for buying and selling in a backtesting environment.
To run the strategy, the TA (Technical Analysis) library needs to be installed using the command "pip install ta".
The strategy utilizes various libraries and modules such as pandas, ta, freqtrade, numpy, and functools.
The strategy class S23 extends the IStrategy interface and implements several methods to define the buying and selling conditions. It also includes hyperparameters for optimization. The strategy uses technical indicators such as Ichimoku Base Line and the Know Sure Thing (KST) indicator. The populate_indicators method calculates these indicators and normalizes their values. The populate_buy_trend and populate_sell_trend methods define the conditions for buying and selling based on the calculated indicators and the hyperparameters. The strategy has predefined parameters for buying and selling, including categorical and real values. It also defines a minimal ROI (Return on Investment) table and a stop-loss value. Overall, the Zeus Strategy aims to maximize profit by using technical indicators and predefined parameters for buying and selling in a backtesting environment.
stoploss: -0.256 timeframe: 4h hash(sha256): 9188dad3b1b257a324cf19d746cc22d2eccbdb7f0e27d75453e964ca5f313173
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last change: 2022-07-11 15:51:43