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The CombinedBinHAndClucV7 strategy is a trading strategy implemented as a class in Python. Here is a brief description of what the strategy does:
The populate_indicators method is responsible for populating the indicators used in the strategy. It takes a DataFrame containing market data and a metadata dictionary as input and returns the modified DataFrame with the indicators added.
The populate_buy_trend method is used to determine the buy signals based on certain conditions.
It takes the DataFrame with populated indicators and metadata as input and returns the DataFrame with a 'buy' column indicating the buy signals.
The populate_sell_trend method is responsible for determining the sell signals based on specific conditions. It takes the DataFrame with populated indicators and metadata as input and returns the DataFrame with a 'sell' column indicating the sell signals. The strategy uses a combination of different indicators, such as exponential moving averages (ema), Bollinger Bands (bb), relative strength index (rsi), and money flow index (mfi), among others, to generate buy and sell signals. The conditions for buy and sell signals are defined using logical operations and comparison operators. Overall, the CombinedBinHAndClucV7 strategy aims to identify favorable buying opportunities based on the specified conditions and generate corresponding sell signals when certain conditions are met.
The populate_buy_trend method is used to determine the buy signals based on certain conditions.
It takes the DataFrame with populated indicators and metadata as input and returns the DataFrame with a 'buy' column indicating the buy signals.
The populate_sell_trend method is responsible for determining the sell signals based on specific conditions. It takes the DataFrame with populated indicators and metadata as input and returns the DataFrame with a 'sell' column indicating the sell signals. The strategy uses a combination of different indicators, such as exponential moving averages (ema), Bollinger Bands (bb), relative strength index (rsi), and money flow index (mfi), among others, to generate buy and sell signals. The conditions for buy and sell signals are defined using logical operations and comparison operators. Overall, the CombinedBinHAndClucV7 strategy aims to identify favorable buying opportunities based on the specified conditions and generate corresponding sell signals when certain conditions are met.
startup_candle_count : 200 ema_50_1h: -0.001%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): d16ea1c3384ef58832ac6202779f9608eb9f23385d23169e2c5bc2b10f71244a indicators: sma_200_1h upper ema_200 ema_50 close sma_5 tail bb_lowerband mfi ema_200_1h bbdelta volume smaHigh ATR ssl_up closedelta sslDown open hlv volume_mean_slow ema_50_1h smaLow sma_200 high sslUp mid ssl_down_1h ssl_down rsi_1h lower bb_middleband rsi bb_upperband ema_slow low ssl_up_1h
Similar Strategies: (based on used indicators)
Strategy: 01_CombinedBinHAndClucV7_OPT, Similarity Score: 97.3%
Strategy: 01_CombinedBinHAndClucV7_OPT_02, Similarity Score: 97.3%
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last change: 2024-08-02 10:19:25