The StarRise strategy is a trading strategy that uses various technical indicators to identify potential buying and selling opportunities. Here is a brief description of what the strategy does:
In the populate_indicators function, the strategy calculates and adds several indicators to the input dataframe. These indicators include RSI (Relative Strength Index) at different time periods, Bollinger Bands, price delta, top percent changes, simple moving averages (SMA), Commodity Trend Index (CTI), Average Directional Index (ADX), Williams %R, MAMA/FAMA (MESA Adaptive Moving Average), and CRSI (Composite Relative Strength Index).
In the populate_buy_trend function, the strategy defines the conditions for buying.
It checks if certain criteria are met, including negative price changes in the recent past, the price being below the MAMA indicator, Williams %R being below a certain threshold, CTI being below a certain value, ADX being above a certain value, positive MAMA difference in the last hour, SMA crossing above a certain threshold compared to SMA, and other conditions related to RSI, CTI, and Williams %R.
In the populate_sell_trend function, the strategy defines the conditions for selling. It checks if the price is above a certain threshold (calculated based on the Bollinger Bands) and if the RSI is above a certain threshold. The StarRise_dca class is a subclass of StarRise and likely includes additional functionality related to Dollar-Cost Averaging (DCA), which is a strategy of regularly investing a fixed amount of money at regular intervals regardless of market conditions. Overall, the StarRise strategy aims to capture potential buy signals based on a combination of technical indicators and to generate sell signals when certain criteria are met.