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The Obelisk_Ichimoku_Slow_v1_1 strategy is a backtesting strategy that uses the Ichimoku indicator to generate buy and sell signals. Here's a breakdown of what the strategy does:
populate_indicators function:
This function is responsible for populating the indicators on the input dataframe. If the strategy's timeframe matches the informative timeframe:
The indicators are calculated directly on the input dataframe.
If the timeframes don't match: If there is no informative dataframe available, the function returns the original dataframe.
Otherwise, the indicators are calculated on the informative dataframe.
The informative dataframe is then merged with the input dataframe, aligning the data based on the timeframes. Certain columns are skipped to avoid duplicate columns with suffixes. The resulting merged dataframe is returned. populate_buy_trend function: This function populates the buy signals on the dataframe. Rows where the 'go_long' column is greater than 0 are marked as a buy with a value of 1. populate_sell_trend function: This function populates the sell signals on the dataframe. Rows where the 'go_long' column is equal to 0 are marked as a sell with a value of 1. Overall, the strategy calculates indicators, generates buy and sell signals based on the 'go_long' column, and returns the modified dataframe with buy and sell flags.
If the timeframes don't match: If there is no informative dataframe available, the function returns the original dataframe.
Otherwise, the indicators are calculated on the informative dataframe.
The informative dataframe is then merged with the input dataframe, aligning the data based on the timeframes. Certain columns are skipped to avoid duplicate columns with suffixes. The resulting merged dataframe is returned. populate_buy_trend function: This function populates the buy signals on the dataframe. Rows where the 'go_long' column is greater than 0 are marked as a buy with a value of 1. populate_sell_trend function: This function populates the sell signals on the dataframe. Rows where the 'go_long' column is equal to 0 are marked as a sell with a value of 1. Overall, the strategy calculates indicators, generates buy and sell signals based on the 'go_long' column, and returns the modified dataframe with buy and sell flags.
stoploss: -0.99 timeframe: 1h hash(sha256): 0a79c7bf6edfaa5dbb6224dd452a68ce2d251f905c47a670a2fefcab1d49784b indicators: close senkou_a tenkan_sen cloud_red smaHigh chikou_high leading_senkou_span_a ATR buy_criteria ssl_up sslDown leading_senkou_span_b open hlv smaLow go_long high sslUp kijun_sen senkou_span_a chikou_span senkou_b sell_criteria ssl_down senkou_span_b ssl_high cloud_green low future_green date open high low close volume
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last change: 2022-07-02 19:54:08