The BB_RPB_TSL strategy is a trading strategy that involves multiple conditions to determine buy and sell signals. Here is a brief description of what the strategy does:
populate_indicators(): This function populates various indicators on the provided dataframe, such as informative indicators and normal timeframe indicators. populate_buy_trend(): This function determines the buy signals based on several conditions.
These conditions include checking for dips in specific indicators (RMI, CCI, SRSI), price breakouts above certain thresholds (BB Delta, BB Width), Ichimoku Cloud confirmation, local uptrend confirmation, EWO (Elliott Wave Oscillator) confirmation, COFI (Crossover of FastK and FastD indicators) confirmation, and specific conditions for NFI (Next Financial Indicator) and BTC (Bitcoin) safety.
populate_sell_trend(): This function determines the sell signals based on two main conditions.
The first condition checks for a decrease in BTC (Bitcoin) safety or specific conditions related to the price being below the EMA (Exponential Moving Average) 200, CMF (Chaikin Money Flow) indicator, EMA close delta, and RSI (Relative Strength Index) increase. Overall, the strategy combines multiple indicators and conditions to generate buy and sell signals for backtesting trading strategies.