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The Obelisk_TradePro_Ichi_v2_2 strategy is a trading strategy that uses various indicators to generate buy and sell signals. Here is a brief description of what the strategy does:
The populate_indicators function is responsible for calculating the indicators used in the strategy. It checks the timeframe and ensures that it is either 5 minutes or 1 minute for backtesting purposes.
If the timeframe matches the informative timeframe, the indicators are calculated directly on the provided dataframe.
Otherwise, it retrieves the informative dataframe using the data provider (dp) and merges it with the main dataframe.
Certain columns are renamed to remove the timeframe suffix. The populate_buy_trend function populates the "buy" column of the dataframe based on a condition. It checks if the 'go_long' indicator crosses above 0 and sets the corresponding value in the "buy" column to 1. The populate_sell_trend function populates the "sell" column of the dataframe based on a condition. It checks if the 'ssl_high' indicator is 0 and if either the 'tenkan_sen' indicator is less than the 'kijun_sen' indicator or the 'close' price is less than the 'kijun_sen' indicator. If the conditions are met, it sets the corresponding value in the "sell" column to 1. Overall, this strategy uses indicators like 'go_long', 'ssl_high', 'tenkan_sen', and 'kijun_sen' to determine when to buy or sell in the market. The "buy" and "sell" columns in the dataframe indicate the presence of a buying or selling signal, respectively.
If the timeframe matches the informative timeframe, the indicators are calculated directly on the provided dataframe.
Otherwise, it retrieves the informative dataframe using the data provider (dp) and merges it with the main dataframe.
Certain columns are renamed to remove the timeframe suffix. The populate_buy_trend function populates the "buy" column of the dataframe based on a condition. It checks if the 'go_long' indicator crosses above 0 and sets the corresponding value in the "buy" column to 1. The populate_sell_trend function populates the "sell" column of the dataframe based on a condition. It checks if the 'ssl_high' indicator is 0 and if either the 'tenkan_sen' indicator is less than the 'kijun_sen' indicator or the 'close' price is less than the 'kijun_sen' indicator. If the conditions are met, it sets the corresponding value in the "sell" column to 1. Overall, this strategy uses indicators like 'go_long', 'ssl_high', 'tenkan_sen', and 'kijun_sen' to determine when to buy or sell in the market. The "buy" and "sell" columns in the dataframe indicate the presence of a buying or selling signal, respectively.
stoploss: -0.99 timeframe: 5m hash(sha256): 32cd2080316811f7dbf7b6473e8c39f6ff1cf436a42946d90a35e3c0e6615236 indicators: rmifast close senkou_a tenkan_sen cloud_red smaHigh chikou_high leading_senkou_span_a ATR ssl_up sslDown rocr leading_senkou_span_b hlv smaLow go_long high sslUp kijun_sen senkou_span_a chikou_span senkou_b ssl_down senkou_span_b ssl_high cloud_green runmode low future_green date open high low close volume
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last change: 2022-07-02 19:54:08