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The Obelisk_Ichimoku_Slow_v1_1 strategy is an implementation of a trading strategy that utilizes the Ichimoku indicator. Here is a short description of what the strategy does:
The populate_indicators function is responsible for populating the indicators used in the strategy. It takes a DataFrame and metadata as input and returns a DataFrame with the indicators added.
If the timeframe is equal to the informative timeframe, the indicators are calculated directly on the provided DataFrame.
Otherwise, if a datapanel (self.dp) is not available, the original DataFrame is returned.
Otherwise, the indicators are calculated on an informative DataFrame obtained from the datapanel. The informative DataFrame is then merged with the original DataFrame based on the specified timeframes. The populate_buy_trend function populates the buy signal in the DataFrame. It sets the 'buy' column to 1 for rows where the 'go_long' column value is greater than 0. This indicates a condition for entering a long position. The populate_sell_trend function populates the sell signal in the DataFrame. It sets the 'sell' column to 1 for rows where the 'go_long' column value is equal to 0. This indicates a condition for exiting a long position. Overall, the strategy calculates indicators, generates a buy signal when the 'go_long' condition is met, and generates a sell signal when the 'go_long' condition is not met.
If the timeframe is equal to the informative timeframe, the indicators are calculated directly on the provided DataFrame.
Otherwise, if a datapanel (self.dp) is not available, the original DataFrame is returned.
Otherwise, the indicators are calculated on an informative DataFrame obtained from the datapanel. The informative DataFrame is then merged with the original DataFrame based on the specified timeframes. The populate_buy_trend function populates the buy signal in the DataFrame. It sets the 'buy' column to 1 for rows where the 'go_long' column value is greater than 0. This indicates a condition for entering a long position. The populate_sell_trend function populates the sell signal in the DataFrame. It sets the 'sell' column to 1 for rows where the 'go_long' column value is equal to 0. This indicates a condition for exiting a long position. Overall, the strategy calculates indicators, generates a buy signal when the 'go_long' condition is met, and generates a sell signal when the 'go_long' condition is not met.
stoploss: -0.99 timeframe: 1h hash(sha256): 5f3a50e560d4e8e4ba2055b2f075b1dc83c3a823dc6fe5f5d94d8e473b128924 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