You will be redirected to the original Strategy in 15 seconds.
The ElliotV7 strategy is a trading strategy implemented as a class in a backtesting website. Here is a short description of what the strategy does:
The strategy begins by populating indicators on the input dataframe, which include moving averages, Bollinger Bands, hull moving average, simple moving average, EWO (Elliott Wave Oscillator), MACD (Moving Average Convergence Divergence), and RSI (Relative Strength Index). In the populate_buy_trend method, the strategy defines buy conditions based on various indicators.
These conditions include the 1-hour uptrend, low RSI values, the close price being below a certain moving average offset, EWO being above a threshold, RSI being below a specified value, and volume being greater than zero.
If any of these conditions are met, the 'buy' signal is set to 1.
In the populate_sell_trend method, the strategy defines sell conditions based on indicators such as SMA (Simple Moving Average), HMA (Hull Moving Average), close price being above a moving average offset, RSI being above 50, volume being greater than zero, and RSI fast being greater than RSI slow. If any of these conditions are met, the 'sell' signal is set to 1. The strategy uses logical operators and conditions to determine the buy and sell signals based on the defined indicators. These signals are then returned in the dataframe, indicating the potential buy and sell points according to the strategy's rules.
These conditions include the 1-hour uptrend, low RSI values, the close price being below a certain moving average offset, EWO being above a threshold, RSI being below a specified value, and volume being greater than zero.
If any of these conditions are met, the 'buy' signal is set to 1.
In the populate_sell_trend method, the strategy defines sell conditions based on indicators such as SMA (Simple Moving Average), HMA (Hull Moving Average), close price being above a moving average offset, RSI being above 50, volume being greater than zero, and RSI fast being greater than RSI slow. If any of these conditions are met, the 'sell' signal is set to 1. The strategy uses logical operators and conditions to determine the buy and sell signals based on the defined indicators. These signals are then returned in the dataframe, indicating the potential buy and sell points according to the strategy's rules.
stoploss: -0.32 timeframe: 5m hash(sha256): d4ab1bd6c0aef21dc4a9f47e2340083fe838615e433721bf0a2eb02bca7fd3db
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08