The BBKCBounce strategy is a trading strategy that uses various technical indicators to generate buy and sell signals. Here is a brief explanation of what the strategy does:
In the populate_indicators function:
The strategy calculates and adds several technical indicators to the given DataFrame, such as SMA (Simple Moving Average), EMA (Exponential Moving Average), TEMA (Triple Exponential Moving Average), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), ADX (Average Directional Index), SAR (Stop and Reverse), RSI (Relative Strength Index), Fisher RSI, Bollinger Bands, and Keltner Channels. In the populate_entry_trend function:
The strategy sets up conditions for generating buy signals based on the indicator values.
The conditions include checking values of ADX, Delta Minus (dm_delta), MFI, SAR, MACD, Fisher RSI, and Keltner Channels.
If the conditions are met, the 'buy' column in the DataFrame is set to 1, indicating a buy signal.
In the populate_exit_trend function: The strategy sets up conditions for generating sell signals based on the indicator values. The conditions include checking values of Upper Bollinger Band, Upper Keltner Channel. If the conditions are met, the 'sell' column in the DataFrame is set to 1, indicating a sell signal. There is also an option to hold the sell signal (sell_hold), in which case the 'sell' column is set to 0. Overall, the strategy combines multiple technical indicators to identify potential entry and exit points for trading. The specific conditions for generating signals can be customized based on the parameters provided to the strategy.
The conditions include checking values of ADX, Delta Minus (dm_delta), MFI, SAR, MACD, Fisher RSI, and Keltner Channels.
If the conditions are met, the 'buy' column in the DataFrame is set to 1, indicating a buy signal.
In the populate_exit_trend function: The strategy sets up conditions for generating sell signals based on the indicator values. The conditions include checking values of Upper Bollinger Band, Upper Keltner Channel. If the conditions are met, the 'sell' column in the DataFrame is set to 1, indicating a sell signal. There is also an option to hold the sell signal (sell_hold), in which case the 'sell' column is set to 0. Overall, the strategy combines multiple technical indicators to identify potential entry and exit points for trading. The specific conditions for generating signals can be customized based on the parameters provided to the strategy.
stoploss: 0 timeframe: 5m hash(sha256): dbd0e686d9c70afd99496a618dd26a75802710ee9c05451fed3adf9a4fa74b1a
Was not able to fetch indicators from Strategyfile.
last change: 2024-04-28 09:23:51