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The strategy, Freqtrade_backtest_validation_freqtrade1, is designed to backtest trading strategies using the Freqtrade platform. It aims to compare the results of Freqtrade backtests with those of a known industry platform. Key components of the strategy include:
minimal_roi: A dictionary specifying the desired minimum return on investment (ROI) for different timeframes.
stoploss: The stop loss threshold, set at -0.90 (90% loss) in this case.
timeframe: The timeframe used for analysis, which is set to '1h' (1 hour) in this example.
The strategy utilizes two Simple Moving Averages (SMA) as indicators: fastMA: A 14-period SMA. slowMA: A 28-period SMA. The buy and sell signals are determined based on the crossover of these moving averages: When the fastMA is above the slowMA, a buy signal is generated. When the fastMA is below the slowMA, a sell signal is generated. The strategy aims to achieve specific minimum ROI targets at different timeframes, and it uses SMA crossovers as the basis for making buy and sell decisions.
stoploss: The stop loss threshold, set at -0.90 (90% loss) in this case.
timeframe: The timeframe used for analysis, which is set to '1h' (1 hour) in this example.
The strategy utilizes two Simple Moving Averages (SMA) as indicators: fastMA: A 14-period SMA. slowMA: A 28-period SMA. The buy and sell signals are determined based on the crossover of these moving averages: When the fastMA is above the slowMA, a buy signal is generated. When the fastMA is below the slowMA, a sell signal is generated. The strategy aims to achieve specific minimum ROI targets at different timeframes, and it uses SMA crossovers as the basis for making buy and sell decisions.
stoploss: -0.9 timeframe: 1h hash(sha256): ae24dd7a9a0e51014b6d0a251c8cec71622f2d1a22fa868980af97d2383ad8e1 indicators: slowMA fastMA
No similar strategies found. (based on used indicators)
last change: 2022-07-02 19:54:08