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Strategy: Hacklemore2
Downloaded: 20220116
Stoploss: -0.99


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The Hacklemore2 strategy is a trading strategy that involves the following steps: Populate Indicators: Calculates and adds several indicators to the input dataframe, including: 'volume_mean_slow': Rolling mean of the volume over a window of 24 periods. 'RMI': Relative Momentum Index (RMI) calculated using the RMI function. 'sar': Stop and Reverse (SAR) indicator calculated using ta.SAR function.

'max': Rolling maximum of the high price over a window of 60 periods.

'min': Rolling minimum of the low price over a window of 60 periods.

'upper': Indicator that is 1 if the current maximum is greater than the previous maximum, otherwise 0. 'lower': Indicator that is 1 if the current minimum is less than the previous minimum, otherwise 0. 'up_trend': Indicator that is 1 if there is an upward trend based on the 'upper' indicator, otherwise 0. 'dn_trend': Indicator that is 1 if there is a downward trend based on the 'lower' indicator, otherwise 0. Populate Buy Trend: Determines the buy signals based on certain conditions. If there is no active trade, the conditions include: 'up_trend' is True. 'RMI' is greater than 55. 'RMI' is greater than or equal to the rolling mean of 'RMI' over the past 3 periods. The closing price is higher than the previous two closing prices. 'sar' is below the closing price, and the previous two 'sar' values are also below their respective closing prices. The volume is less than 30 times the previous 'volume_mean_slow' value. If there is an active trade, the condition is that 'RMI' is greater than or equal to 75. Additionally, the volume must be greater than 0. Populate Sell Trend: Determines the sell signals based on certain conditions. If there is an active trade, the conditions include: 'buy' is 0. 'dn_trend' is True. 'RMI' is less than 30. The current profit is greater than -0.03. The volume is greater than 0. There are additional functions defined in the code, but their exact purpose and usage are not clear from the provided snippet. Overall, the strategy calculates various indicators and uses them to generate buy and sell signals based on specific conditions.

startup_candle_count : 400
Recursive Analysis found no issues while using 400 startup_candle_count
Biased Entry Signals:
1
stoploss: -0.99
timeframe: 15m
hash(sha256): c3c19a00ec0c0b6a65ebafd7d21266f4ebecd286c82871d7445e31ada68d277f
indicators:
sell upper asks close volume
max volume_mean_slow sar high bids
up_trend price buy min dn_trend
lower runmode low RMI

Similar Strategies: (based on used indicators)

Strategy: Enchilada, Similarity Score: 90%

last change: 2023-07-01 13:30:08