The ElliotV7 strategy is a trading strategy implemented in Python for backtesting purposes. Here is a description of what the strategy does:
The populate_indicators function calculates various technical indicators based on the provided dataframe of price data. These indicators include moving averages, Bollinger Bands, hull moving average, simple moving average, Elliott Wave Oscillator (EWO), and relative strength index (RSI).
The function returns the updated dataframe with the added indicators.
The populate_buy_trend function identifies potential buy signals based on specific conditions.
These conditions involve the RSI, close price, moving averages, EWO, and volume. If any of the conditions are met, the corresponding row in the dataframe is marked with a 'buy' signal. The populate_sell_trend function identifies potential sell signals based on specific conditions. These conditions involve the SMA, HMA, RSI, close price, and volume. If any of the conditions are met, the corresponding row in the dataframe is marked with a 'sell' signal. Overall, the ElliotV7 strategy uses a combination of technical indicators and specific conditions to generate buy and sell signals for trading.