The E0V1E strategy is a trading strategy that utilizes various technical indicators to generate buy and sell signals. Here's a brief description of what the strategy does:
Indicator Population: The strategy starts by populating the DataFrame with several indicators, including Simple Moving Average (SMA), Commodity Trend Index (CTI), Relative Strength Index (RSI), Exponential Moving Average (EMA), EWO (Ehler's Fisher Transform), Stochastic Fast (STOCHF), and Bollinger Bands (BB). These indicators provide valuable insights into market trends, momentum, and volatility.
Entry Trend Generation: Next, the strategy generates entry signals based on specific conditions.
It checks for multiple conditions related to the indicators and sets an "enter_tag" for each condition that is met.
The conditions include criteria such as RSI values, EMA crossovers, and the relationship between price and indicators. If any of the conditions are met, an "enter_long" signal is triggered. Exit Trend Generation: The strategy determines the exit signals based on specific conditions. One of the conditions is related to the profit level and the fastk value of the current candle. Another condition involves checking for specific criteria, such as the width of Bollinger Bands, price relative to the middle band, and volume factors. If the profit level or conditions are met, the strategy generates an exit signal. Overall, the E0V1E strategy aims to identify potential buying opportunities based on various technical indicators and generates exit signals based on specific conditions. By backtesting this strategy on historical data, you can assess its performance and evaluate its profitability.