The "BBBHold" strategy is a trading strategy that uses various technical indicators to make buying and selling decisions. Here is a brief description of what the strategy does:
In the "populate_indicators" function, the strategy adds several technical indicators to the given DataFrame. These indicators include:
MFI (Money Flow Index)
SMA (Simple Moving Average)
MACD (Moving Average Convergence Divergence)
RSI (Relative Strength Index)
Fisher RSI (a transformation of RSI)
In the "populate_entry_trend" function, the strategy determines the conditions for entering a trade.
The following conditions are checked: If enabled, the MFI value should be less than or equal to a specified threshold.
If enabled, the Fisher RSI value should be less than a specified threshold.
The percentage gain between the Bollinger Bands' upper band and the closing price should be greater than or equal to a specified threshold. The closing price should be greater than the opening price. The opening price should be below the Bollinger Bands' lower band, and the closing price should be at or above the lower band. The volume should be greater than zero. If all the conditions are met, the strategy sets the "buy" column of the DataFrame to 1 for the corresponding row. In the "populate_exit_trend" function, the strategy determines the conditions for exiting a trade. Currently, the strategy does not specify any conditions for selling, as it sets the "sell" column to 0 for all rows where the closing price is greater than or equal to zero. Overall, the strategy combines multiple technical indicators to identify potential entry points for buying assets. The exit conditions are not explicitly defined in the provided code and would need to be implemented separately.
The following conditions are checked: If enabled, the MFI value should be less than or equal to a specified threshold.
If enabled, the Fisher RSI value should be less than a specified threshold.
The percentage gain between the Bollinger Bands' upper band and the closing price should be greater than or equal to a specified threshold. The closing price should be greater than the opening price. The opening price should be below the Bollinger Bands' lower band, and the closing price should be at or above the lower band. The volume should be greater than zero. If all the conditions are met, the strategy sets the "buy" column of the DataFrame to 1 for the corresponding row. In the "populate_exit_trend" function, the strategy determines the conditions for exiting a trade. Currently, the strategy does not specify any conditions for selling, as it sets the "sell" column to 0 for all rows where the closing price is greater than or equal to zero. Overall, the strategy combines multiple technical indicators to identify potential entry points for buying assets. The exit conditions are not explicitly defined in the provided code and would need to be implemented separately.
stoploss: 0 timeframe: 5m hash(sha256): 17dcc5f55b62be7f4400e11bffc6740bbd85f4d64359d611981cdfb4ea1317d3 indicators: macdsignal upper mid lower fisher_rsi volume bb_middleband rsi close macd mfi bb_upperband bb_lowerband bb_gain open sma
Similar Strategies: (based on used indicators)
Strategy: BBBHold, Similarity Score: 94.12%
Strategy: BollingerBounce, Similarity Score: 94.12%
Strategy: BollingerBounce_2, Similarity Score: 94.12%
Strategy: ComboHold, Similarity Score: 94.12%
last change: 2024-04-28 09:15:24