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The FastPump strategy is designed to backtest trading based on external buy signals using the /force_buy command. It aims for a minimal ROI (Return on Investment) of 100% and operates on a 1-minute timeframe. The strategy includes a stop loss of -0.02 (2%) and implements a trailing stop feature.
In terms of indicator analysis, the strategy does not use any specific indicators as it returns the original dataframe without any modifications in the populate_indicators method.
For the buy signal, the strategy marks the buy column as 1 for all rows in the dataframe.
For the sell signal, the strategy marks the sell column as 1 for all rows in the dataframe. Overall, the FastPump strategy relies heavily on external buy signals and focuses on quick turnarounds with a high minimal ROI.
In terms of indicator analysis, the strategy does not use any specific indicators as it returns the original dataframe without any modifications in the populate_indicators method.
For the buy signal, the strategy marks the buy column as 1 for all rows in the dataframe.
For the sell signal, the strategy marks the sell column as 1 for all rows in the dataframe. Overall, the FastPump strategy relies heavily on external buy signals and focuses on quick turnarounds with a high minimal ROI.
stoploss: -0.02 timeframe: 1m hash(sha256): 015155f86adc601e1299b20034c286a758d783d9b78fc86c3babf5a78119d655
Was not able to fetch indicators from Strategyfile.
last change: 2023-06-30 12:33:46