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The SampleStrategy class is an implementation of a trading strategy that utilizes technical analysis (TA) indicators to generate buy and sell signals. Here is a breakdown of what the strategy does:
populate_indicators method:
This method takes a DataFrame containing exchange data and metadata as input. It adds several TA indicators to the DataFrame, including:
RSI (Relative Strength Index): Calculates the relative strength of the asset based on its recent price changes.
Bollinger Bands: Calculates the upper, middle, and lower bands based on the standard deviation of the asset's price.
Bollinger Bands Percentage: Calculates the percentage of the asset's price between the lower and upper Bollinger Bands.
Bollinger Bands Width: Calculates the width of the Bollinger Bands as a ratio of the middle band. The method then returns the modified DataFrame with the added indicators. populate_buy_trend method: This method takes the DataFrame populated with indicators and metadata as input. It generates buy signals based on the TA indicators. In this specific strategy, a buy signal is generated when the RSI crosses above the value of 60. The method adds a 'buy' column to the DataFrame, marking the buy signals with a value of 1. Finally, it returns the DataFrame with the 'buy' column. populate_sell_trend method: This method takes the DataFrame populated with indicators and metadata as input. It generates sell signals based on the TA indicators. In this specific strategy, a sell signal is generated when the RSI crosses below the value of 55. The method adds a 'sell' column to the DataFrame, marking the sell signals with a value of 1. Finally, it returns the DataFrame with the 'sell' column. The strategy combines the RSI indicator with Bollinger Bands to determine entry and exit points for trading. When the RSI crosses above 60, a buy signal is generated, and when the RSI crosses below 55, a sell signal is generated.
Bollinger Bands: Calculates the upper, middle, and lower bands based on the standard deviation of the asset's price.
Bollinger Bands Percentage: Calculates the percentage of the asset's price between the lower and upper Bollinger Bands.
Bollinger Bands Width: Calculates the width of the Bollinger Bands as a ratio of the middle band. The method then returns the modified DataFrame with the added indicators. populate_buy_trend method: This method takes the DataFrame populated with indicators and metadata as input. It generates buy signals based on the TA indicators. In this specific strategy, a buy signal is generated when the RSI crosses above the value of 60. The method adds a 'buy' column to the DataFrame, marking the buy signals with a value of 1. Finally, it returns the DataFrame with the 'buy' column. populate_sell_trend method: This method takes the DataFrame populated with indicators and metadata as input. It generates sell signals based on the TA indicators. In this specific strategy, a sell signal is generated when the RSI crosses below the value of 55. The method adds a 'sell' column to the DataFrame, marking the sell signals with a value of 1. Finally, it returns the DataFrame with the 'sell' column. The strategy combines the RSI indicator with Bollinger Bands to determine entry and exit points for trading. When the RSI crosses above 60, a buy signal is generated, and when the RSI crosses below 55, a sell signal is generated.
startup_candle_count : 1 bb_middleband: -0.400%
stoploss: -0.02 timeframe: 4h hash(sha256): aab8eb2f000ba85ca7885c2ecdf21ee1e05712fe95f23a61e5cefb14f8845866 indicators: bids upper mid lower asks bb_width bb_middleband rsi close bb_upperband bb_lowerband bb_percent best_ask best_bid
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last change: 2023-06-29 03:40:55