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The "Trend_Strength_Directional" strategy is designed to backtest trading strategies using the Freqtrade platform. Here's a breakdown of what the strategy does:
It uses the 15-minute timeframe for analysis. The strategy aims to achieve specific returns on investment (ROI) at different time intervals.
The ROI targets are defined in the "minimal_roi" dictionary.
A stoploss is set at -0.314, which means that if the trade goes against the desired direction and reaches a 31.4% loss, it will be closed.
The strategy employs a trailing stop, which means that as the trade moves in the desired direction, the stop-loss level is adjusted to lock in profits. The buy and sell parameters of the strategy can be optimized using the Hyperopt algorithm. The strategy uses technical indicators to generate buy and sell signals. The "populate_indicators" function calculates the Relative Strength Index (RSI) indicator and adds it to the input dataframe. The "populate_buy_trend" function defines the conditions for generating a buy signal based on the values of different indicators (ADX, PLUS_DI, MINUS_DI). The "populate_sell_trend" function defines the conditions for generating a sell signal based on the values of different indicators (ADX, PLUS_DI, MINUS_DI). Overall, the strategy aims to identify trends in the market and take advantage of them by generating buy and sell signals based on the calculated indicators.
The ROI targets are defined in the "minimal_roi" dictionary.
A stoploss is set at -0.314, which means that if the trade goes against the desired direction and reaches a 31.4% loss, it will be closed.
The strategy employs a trailing stop, which means that as the trade moves in the desired direction, the stop-loss level is adjusted to lock in profits. The buy and sell parameters of the strategy can be optimized using the Hyperopt algorithm. The strategy uses technical indicators to generate buy and sell signals. The "populate_indicators" function calculates the Relative Strength Index (RSI) indicator and adds it to the input dataframe. The "populate_buy_trend" function defines the conditions for generating a buy signal based on the values of different indicators (ADX, PLUS_DI, MINUS_DI). The "populate_sell_trend" function defines the conditions for generating a sell signal based on the values of different indicators (ADX, PLUS_DI, MINUS_DI). Overall, the strategy aims to identify trends in the market and take advantage of them by generating buy and sell signals based on the calculated indicators.
startup_candle_count : 50 rsi: -1.803%
stoploss: -0.314 timeframe: 15m hash(sha256): cc01382c741063baf476a2ebebca015ab457d105d4285855a497101c3e48a153 indicators: rsi
No similar strategies found. (based on used indicators)
last change: 2023-07-01 17:23:18