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The "Obelisk" strategy is a trading strategy that involves backtesting trading decisions based on various indicators. Here is a short description of what each part of the strategy does:
populate_indicators: This function calculates and populates the indicators needed for the strategy. It checks the timeframe to ensure it is set to 5 minutes.
If the timeframe is the same as the informative timeframe, it calculates indicators for the given dataframe.
Otherwise, it requires a data provider for multiple timeframes and calculates informative indicators.
It merges the informative pair's data with the main dataframe, renames columns, and applies fast timeframe indicators. populate_buy_trend: This function determines the conditions for a buy signal. It checks if the Ichimoku Cloud is valid, there is no bearish trend, and the closing price is below a certain offset from a moving average (zema). If all conditions are met, it sets the 'buy' column to 1. populate_sell_trend: This function determines the conditions for a sell signal. It checks if the closing price is above a certain offset from a different moving average (zema). If the condition is met, it sets the 'sell' column to 1. should_sell: This function determines if a sell should be executed based on the given sell reason and current market conditions. If the sell reason is 'roi' and the current candle's trending value is greater than 0, it returns False, indicating that a sell should not be executed. plot_config: This dictionary defines the configuration for plotting different indicators and trends on a chart. It specifies colors and styles for various plot elements, including Ichimoku Cloud, moving averages (zema), and trend signals. Overall, the Obelisk strategy calculates indicators, identifies buy and sell signals based on specific conditions, and provides a plot configuration for visualizing the strategy's performance.
If the timeframe is the same as the informative timeframe, it calculates indicators for the given dataframe.
Otherwise, it requires a data provider for multiple timeframes and calculates informative indicators.
It merges the informative pair's data with the main dataframe, renames columns, and applies fast timeframe indicators. populate_buy_trend: This function determines the conditions for a buy signal. It checks if the Ichimoku Cloud is valid, there is no bearish trend, and the closing price is below a certain offset from a moving average (zema). If all conditions are met, it sets the 'buy' column to 1. populate_sell_trend: This function determines the conditions for a sell signal. It checks if the closing price is above a certain offset from a different moving average (zema). If the condition is met, it sets the 'sell' column to 1. should_sell: This function determines if a sell should be executed based on the given sell reason and current market conditions. If the sell reason is 'roi' and the current candle's trending value is greater than 0, it returns False, indicating that a sell should not be executed. plot_config: This dictionary defines the configuration for plotting different indicators and trends on a chart. It specifies colors and styles for various plot elements, including Ichimoku Cloud, moving averages (zema), and trend signals. Overall, the Obelisk strategy calculates indicators, identifies buy and sell signals based on specific conditions, and provides a plot configuration for visualizing the strategy's performance.
stoploss: -0.294 timeframe: 5m hash(sha256): d8a01e045a184817aaf339a64dfe0c1b13f3cb15d299a8441ef90b3c3b61ebdd
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08