The DCA (Dollar Cost Averaging) strategy is designed to automatically buy additional quantities of an asset at predetermined intervals or price levels, with the aim of reducing the average cost per unit over time. Here's a breakdown of the important parts of the strategy:
The strategy uses various indicators from the TALIB library for technical analysis. It implements a custom stoploss space using the HyperOpt module.
The minimal ROI (Return on Investment) table is set to a fixed value of 1000.
The stoploss value is set to -0.33, indicating a percentage at which a trade should be stopped if it reaches a loss.
Trailing stop is disabled. Sell signals are enabled, allowing the strategy to sell based on predefined conditions. The optimal timeframe for the strategy is set to 4 hours. The strategy utilizes DCA, enabling position adjustments and defining parameters such as the maximum number of DCA orders and multiplier. Custom information is stored in a dictionary. Various methods are implemented to populate indicators, confirm trade exits, calculate stake amount, adjust trade positions, populate buy signals, and populate sell signals. Please note that this is a simplified description of the strategy, and the specific details of the indicators and signals are not provided in the code snippet.