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Strategy: GodStraNew_SMAonly
Downloaded: 20220115
Stoploss: -1

Strategy failed backtesting!
Reason: Duplicate of HyperStra_SMAOnly

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The "GodStraNew_SMAonly" strategy is a trading strategy that uses Simple Moving Average (SMA) indicators to generate buy and sell signals. Here's a breakdown of what the strategy does: populate_indicators: This method calculates the default values of hyperoptable parameters and can calculate indicators for all time periods. However, in this strategy, indicators are calculated specifically inside the buy and sell strategy populator methods when needed.

populate_buy_trend: This method populates the buy signals for the strategy.

It generates conditions based on multiple indicators specified by the user.

The indicators are defined by the buy_indicator, buy_crossed_indicator, buy_operator, and buy_real_num variables. Conditions are generated using the condition_generator function. The generated conditions are then appended to the conditions list. If any conditions exist, the corresponding rows in the DataFrame are marked with a 'buy' signal. populate_sell_trend: This method populates the sell signals for the strategy. Similar to the populate_buy_trend method, it generates conditions based on multiple indicators specified by the user. The indicators are defined by the sell_indicator, sell_crossed_indicator, sell_operator, and sell_real_num variables. Conditions are generated using the condition_generator function and appended to the conditions list. If any conditions exist, the corresponding rows in the DataFrame are marked with a 'sell' signal. Overall, the strategy calculates indicators, generates buy and sell signals based on specified conditions, and marks the corresponding rows in the DataFrame with the respective signals.

stoploss: -1
timeframe: 5m
hash(sha256): 9555628b8d3d148ef11f766e66f5d33c02e70d4924f5e6088526fa8a039b3bde
indicators:
volume indicator_trend_sma crossed_indicator indicator sharp_indicator

No similar strategies found. (based on used indicators)

last change: 2022-10-03 11:23:34