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The StrategyTestV3 strategy is designed for backtesting trading strategies. Here is a brief description of what the strategy does:
The strategy uses various technical indicators, including ADX, MACD, RSI, stochastic fast, Bollinger Bands, and EMA (Exponential Moving Average), to make trading decisions. It has predefined parameters for buying and selling, such as RSI thresholds, ADX values, and directional movement indicators (DI).
The strategy requires a minimum number of candles before producing valid signals.
It implements a stop loss of -10% (10% loss) and defines a minimal ROI (Return on Investment) for different time periods.
The strategy operates on a 5-minute timeframe. It uses limit orders for buying and selling, and the time in force for orders is set as 'gtc' (good till canceled). The strategy supports the use of protection measures, such as a cooldown period, which can be enabled or disabled. It provides functions to populate indicators, determine buy and sell trends, and calculate leverage. Please note that this strategy is specifically intended for internal use and testing in the Freqtrade bot. For practical trading purposes, it is recommended to refer to the sample strategies provided in the user_data/strategy directory or the strategy repository on GitHub for more robust and proven trading strategies.
The strategy requires a minimum number of candles before producing valid signals.
It implements a stop loss of -10% (10% loss) and defines a minimal ROI (Return on Investment) for different time periods.
The strategy operates on a 5-minute timeframe. It uses limit orders for buying and selling, and the time in force for orders is set as 'gtc' (good till canceled). The strategy supports the use of protection measures, such as a cooldown period, which can be enabled or disabled. It provides functions to populate indicators, determine buy and sell trends, and calculate leverage. Please note that this strategy is specifically intended for internal use and testing in the Freqtrade bot. For practical trading purposes, it is recommended to refer to the sample strategies provided in the user_data/strategy directory or the strategy repository on GitHub for more robust and proven trading strategies.
startup_candle_count : 20 bb_lowerband: -0.021% bb_middleband: -0.132% bb_upperband: -0.243%
stoploss: -0.1 timeframe: 5m hash(sha256): 1a3bd52cd601c9ce1d839db782de39b12ec4581d8c4a2790aefb584cbc66eb44 indicators: macdsignal upper adx minus_di lower mid fastk bb_middleband rsi macd bb_lowerband bb_upperband plus_di fastd ema10 macdhist
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last change: 2023-07-05 07:08:19