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The Zeus strategy is a trading strategy designed for backtesting purposes. It aims to maximize the average and median profit in USDT. The strategy is implemented in Python using the Freqtrade library.
The strategy is authored by Masoud Azizi (@Mablue) and can be found on GitHub at https://github.com/mablue/.
It requires the installation of the "ta" library before running (pip install ta).
The strategy utilizes various technical indicators to make buy and sell decisions. Some of the indicators used include the Ichimoku Base Line and the KST (Know Sure Thing) Indicator. The strategy normalizes these indicators and sets buy and sell conditions based on user-defined parameters. Key parameters of the strategy include the buy and sell hyperspace parameters, minimal ROI (Return on Investment) table, stoploss, and trailing stop. The buy and sell hyperspace parameters define the conditions for buying and selling, such as comparing the indicator values to predefined thresholds. The minimal ROI table specifies the minimum return on investment required for different holding periods. The stoploss parameter sets the threshold for stopping a trade if the price moves against the expected direction. The trailing stop parameter enables trailing stop functionality to secure profits as the price moves in the expected direction. Overall, the Zeus strategy aims to generate profitable trading signals based on the specified technical indicators and parameters.
The strategy is authored by Masoud Azizi (@Mablue) and can be found on GitHub at https://github.com/mablue/.
It requires the installation of the "ta" library before running (pip install ta).
The strategy utilizes various technical indicators to make buy and sell decisions. Some of the indicators used include the Ichimoku Base Line and the KST (Know Sure Thing) Indicator. The strategy normalizes these indicators and sets buy and sell conditions based on user-defined parameters. Key parameters of the strategy include the buy and sell hyperspace parameters, minimal ROI (Return on Investment) table, stoploss, and trailing stop. The buy and sell hyperspace parameters define the conditions for buying and selling, such as comparing the indicator values to predefined thresholds. The minimal ROI table specifies the minimum return on investment required for different holding periods. The stoploss parameter sets the threshold for stopping a trade if the price moves against the expected direction. The trailing stop parameter enables trailing stop functionality to secure profits as the price moves in the expected direction. Overall, the Zeus strategy aims to generate profitable trading signals based on the specified technical indicators and parameters.
stoploss: -0.245 timeframe: 4h hash(sha256): 8507139ebdf72349f3daf8e2927a1c7a30f8dde06f4f58d701ce3141eef28f9d indicators: high trend_ichimoku_base trend_kst_dif close low trend_kst_diff
No similar strategies found. (based on used indicators)
last change: 2024-04-29 00:08:09