The "tesla7" strategy is a trading strategy implemented in Python. It uses various technical indicators to generate buy and sell signals for trading. Here's a breakdown of what the strategy does:
populate_indicators: This method calculates and populates several indicators using the input dataframe, such as exponential moving averages (EMAs), Hull moving average (HMA), simple moving average (SMA), Bollinger Bands, volume-related indicators, and relative strength index (RSI).
populate_buy_trend: This method determines the conditions for buying based on the populated indicators.
It sets the 'buy' signal when specific conditions are met, such as volume base, RSI, close price, EWO (Elliott Wave Oscillator), and moving averages.
populate_sell_trend: This method determines the conditions for selling based on the populated indicators. It sets the 'sell' signal when specific conditions are met, such as close price, RSI, and moving averages. The strategy combines multiple indicators and their respective thresholds to generate buy and sell signals. The specific conditions and thresholds used in the strategy are defined within the method.