The BBRSI_BCD strategy is a trading strategy that uses a combination of Bollinger Bands and the Relative Strength Index (RSI) to generate buy and sell signals. In the populate_indicators method, several indicators are added to the given DataFrame. The RSI indicator is calculated and added as a column called 'rsi'.
Bollinger Bands are also calculated using the typical price of the DataFrame with a window of 20 and a standard deviation of 1.
The lower, middle, and upper bands of the Bollinger Bands are added as columns called 'bb_lowerband1', 'bb_middleband1', and 'bb_upperband1', respectively.
The populate_buy_trend method populates the buy signal for the DataFrame based on the TA indicators. The buy signal is triggered when the RSI is greater than 40 and the closing price is below the lower Bollinger Band. The populate_sell_trend method populates the sell signal for the DataFrame based on the TA indicators. The sell signal is triggered when the closing price is above the middle Bollinger Band. Overall, this strategy aims to identify potential buying opportunities when the RSI is relatively high and the price is below the lower Bollinger Band, and selling opportunities when the price rises above the middle Bollinger Band.
Bollinger Bands are also calculated using the typical price of the DataFrame with a window of 20 and a standard deviation of 1.
The lower, middle, and upper bands of the Bollinger Bands are added as columns called 'bb_lowerband1', 'bb_middleband1', and 'bb_upperband1', respectively.
The populate_buy_trend method populates the buy signal for the DataFrame based on the TA indicators. The buy signal is triggered when the RSI is greater than 40 and the closing price is below the lower Bollinger Band. The populate_sell_trend method populates the sell signal for the DataFrame based on the TA indicators. The sell signal is triggered when the closing price is above the middle Bollinger Band. Overall, this strategy aims to identify potential buying opportunities when the RSI is relatively high and the price is below the lower Bollinger Band, and selling opportunities when the price rises above the middle Bollinger Band.
Traceback (most recent call last): File "/freqtrade/freqtrade/main.py", line 42, in main return_code = args['func'](args) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/commands/optimize_commands.py", line 57, in start_backtesting backtesting = Backtesting(config) ^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 114, in __init__ validate_config_consistency(self.config) File "/freqtrade/freqtrade/configuration/config_validation.py", line 95, in validate_config_consistency validate_config_schema(conf, preliminary=preliminary) File "/freqtrade/freqtrade/configuration/config_validation.py", line 65, in validate_config_schema raise ValidationError( jsonschema.exceptions.ValidationError: 'stoploss' is a required property
stoploss: 0 timeframe: 30m hash(sha256): 510b5e739a25e9583806f8af032385609ba2a28d11281672b4a881a1fec4d264 indicators: bb_upperband1 mid lower bb_lowerband1 upper close bb_middleband1 rsi
No similar strategies found. (based on used indicators)
last change: 2024-04-28 05:13:11