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The adx_strategytsedit is a trading strategy implemented in Python for backtesting purposes. Here's a brief description of what the strategy does:
It uses the freqtrade.strategy.interface.IStrategy class as the base class for the strategy implementation. The strategy is designed to work with 15-minute ticker intervals.
It defines a minimal return on investment (ROI) table with different time periods and corresponding ROI values.
It sets a stop loss level at -0.1255, indicating the maximum acceptable loss for a trade.
The strategy does not use a trailing stop mechanism. The populate_indicators method is responsible for calculating various technical indicators such as ADX, PLUS_DI, MINUS_DI, SAR, and MOM (momentum) using the talib library. The populate_buy_trend method populates the "buy" column in the DataFrame based on specific conditions, including ADX, MINUS_DI, and PLUS_DI values. The populate_sell_trend method populates the "sell" column in the DataFrame based on certain conditions involving ADX, PLUS_DI, and MINUS_DI values. The strategy does not define custom stop loss rules. However, it implements a custom stop loss method named custom_stoploss which overrides the default behavior. This method checks the elapsed time since the trade was opened and returns different stop loss levels based on specific time intervals. Overall, the strategy utilizes technical indicators such as ADX, PLUS_DI, and MINUS_DI to identify potential buying and selling opportunities in the market. It also incorporates a stop loss mechanism to limit losses.
It defines a minimal return on investment (ROI) table with different time periods and corresponding ROI values.
It sets a stop loss level at -0.1255, indicating the maximum acceptable loss for a trade.
The strategy does not use a trailing stop mechanism. The populate_indicators method is responsible for calculating various technical indicators such as ADX, PLUS_DI, MINUS_DI, SAR, and MOM (momentum) using the talib library. The populate_buy_trend method populates the "buy" column in the DataFrame based on specific conditions, including ADX, MINUS_DI, and PLUS_DI values. The populate_sell_trend method populates the "sell" column in the DataFrame based on certain conditions involving ADX, PLUS_DI, and MINUS_DI values. The strategy does not define custom stop loss rules. However, it implements a custom stop loss method named custom_stoploss which overrides the default behavior. This method checks the elapsed time since the trade was opened and returns different stop loss levels based on specific time intervals. Overall, the strategy utilizes technical indicators such as ADX, PLUS_DI, and MINUS_DI to identify potential buying and selling opportunities in the market. It also incorporates a stop loss mechanism to limit losses.
stoploss: -0.125 timeframe: 15m hash(sha256): 2917f7088a0b6e5f87aff36df3c8449a75a5018f7c1afd476fe6ca45fa879b36
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08