Strategy: BrocolliV1
Downloaded: 20221214
Stoploss: -0.044

Strategy failed backtesting!
Reason: Duplicate of EMACross

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The Brocolli strategy is a trading strategy that uses technical analysis (TA) indicators to generate buy and sell signals for a given DataFrame of exchange data. The populate_indicators function adds various TA indicators to the DataFrame, such as the Exponential Moving Average (EMA) with different time periods. The purpose of this function is to calculate and populate the mandatory indicators required for the strategy.

The populate_buy_trend function uses the populated indicators to determine the buy signal.

It checks for the condition where the shorter EMA crosses above the longer EMA and the volume is greater than zero.

If these conditions are met, the function sets the 'buy' column in the DataFrame to 1, indicating a buy signal. The populate_sell_trend function is similar to populate_buy_trend but checks for the condition where the longer EMA crosses above the shorter EMA to generate a sell signal. Again, the volume is also checked to be greater than zero. If the conditions are met, the 'sell' column in the DataFrame is set to 1. Overall, the strategy uses EMA indicators and volume to determine when to buy or sell in the market based on the specified conditions.

stoploss: -0.044
timeframe: 5m
hash(sha256): 1841b623e31c468e03c884f36dff82cdc90221e05a19b0e516902bff000f15ba

Was not able to fetch indicators from Strategyfile.

last change: 2022-12-14 18:04:25