You will be redirected to the original Strategy in 15 seconds.
The AwesomeStrategy class is an implementation of a trading strategy. It provides methods to populate technical indicators in a given DataFrame and to generate buy and sell signals based on these indicators. The populate_indicators method adds various technical analysis (TA) indicators to the DataFrame.
These indicators include ADX (Average Directional Index), RSI (Relative Strength Index), Stochastic Fast, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Bollinger Bands, SAR (Stop and Reverse), TEMA (Triple Exponential Moving Average), HT_SINE (Hilbert Transform - Sine Wave), and HT_LEADSINE (Hilbert Transform - Leading Sine Wave).
The populate_buy_trend method populates the buy signal in the DataFrame based on specific conditions.
These conditions include the RSI crossing above 30, the TEMA being below the Bollinger Bands' middle band, the TEMA rising, and the volume being greater than 0. The populate_sell_trend method populates the sell signal in the DataFrame based on certain conditions. These conditions include the RSI crossing above 70, the TEMA being above the Bollinger Bands' middle band, the TEMA falling, and the volume being greater than 0. By using these methods, the AwesomeStrategy class enables the backtesting of trading strategies by generating buy and sell signals based on the provided technical indicators.
These indicators include ADX (Average Directional Index), RSI (Relative Strength Index), Stochastic Fast, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Bollinger Bands, SAR (Stop and Reverse), TEMA (Triple Exponential Moving Average), HT_SINE (Hilbert Transform - Sine Wave), and HT_LEADSINE (Hilbert Transform - Leading Sine Wave).
The populate_buy_trend method populates the buy signal in the DataFrame based on specific conditions.
These conditions include the RSI crossing above 30, the TEMA being below the Bollinger Bands' middle band, the TEMA rising, and the volume being greater than 0. The populate_sell_trend method populates the sell signal in the DataFrame based on certain conditions. These conditions include the RSI crossing above 70, the TEMA being above the Bollinger Bands' middle band, the TEMA falling, and the volume being greater than 0. By using these methods, the AwesomeStrategy class enables the backtesting of trading strategies by generating buy and sell signals based on the provided technical indicators.
stoploss: -0.1 timeframe: 5m hash(sha256): 31c19db449aa2a7998d3087afc1626427850ff60fee1de1afdf5e2c9d13c1ab3
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08