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The Schism2MM strategy is a trading strategy implemented as a class that inherits from the IStrategy class. It performs backtesting on trading strategies. Here's a breakdown of what the strategy does:
In the populate_indicators method, the strategy populates various technical indicators on the input DataFrame.
These indicators include 'rmi-slow', 'rmi-fast', 'roc', 'mp', 'rmi-up', 'rmi-dn', 'rmi-up-trend', and 'rmi-dn-trend'.
Additionally, it retrieves informative data from the 'dp' object and calculates additional indicators on the informative DataFrame.
In the populate_buy_trend method, the strategy defines conditions for generating buy signals based on the populated indicators and parameters. It checks if there is an active trade and sets conditions based on the trade data and indicator values. If the conditions are met, the 'buy' column of the DataFrame is set to 1. In the populate_sell_trend method, the strategy defines conditions for generating sell signals based on the populated indicators and parameters. It checks if there is an active trade and sets conditions based on the trade data, indicator values, and other trades. If the conditions are met, the 'sell' column of the DataFrame is set to 1. The strategy also includes additional logic for managing trades, calculating profits, adjusting rates, and handling trade data. Overall, the Schism2MM strategy uses various technical indicators and trade data to generate buy and sell signals based on predefined conditions.
These indicators include 'rmi-slow', 'rmi-fast', 'roc', 'mp', 'rmi-up', 'rmi-dn', 'rmi-up-trend', and 'rmi-dn-trend'.
Additionally, it retrieves informative data from the 'dp' object and calculates additional indicators on the informative DataFrame.
In the populate_buy_trend method, the strategy defines conditions for generating buy signals based on the populated indicators and parameters. It checks if there is an active trade and sets conditions based on the trade data and indicator values. If the conditions are met, the 'buy' column of the DataFrame is set to 1. In the populate_sell_trend method, the strategy defines conditions for generating sell signals based on the populated indicators and parameters. It checks if there is an active trade and sets conditions based on the trade data, indicator values, and other trades. If the conditions are met, the 'sell' column of the DataFrame is set to 1. The strategy also includes additional logic for managing trades, calculating profits, adjusting rates, and handling trade data. Overall, the Schism2MM strategy uses various technical indicators and trade data to generate buy and sell signals based on predefined conditions.
startup_candle_count : 72 rmi-slow: -0.449% mp: -0.004% rsi_1h: 0.223%
stoploss: -0.99 timeframe: 5m hash(sha256): 3c910a0df0752ea8c4e76e64dafe574a8f46febbdc240aa3930dc0c69155ac1d indicators: active_trade rmifast close infrsi free_slots open_candles rmidntrend other_trades mp avg_other_profit volume price_side rmiuptrend infpctadr 1d_high current_profit rmislow max_open_trades price open_minutes 3d_low roc rmidn biggest_loser peak_profit rsi rmiup runmode last buy_signal adr
Similar Strategies: (based on used indicators)
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last change: 2023-07-01 21:47:32