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The SMAOnly strategy is a trading strategy that uses various technical indicators to generate buy and sell signals. Here's a breakdown of what the strategy does:
In the populate_indicators method:
Exponential Moving Averages (EMA) are calculated for different time periods (ma_buy_{val} and ma_sell_{val}) using the ta.EMA function. The Hull Moving Average (HMA) with a window of 50 is calculated using the qtpylib.hull_moving_average function.
The Simple Moving Average (SMA) with a time period of 9 is calculated using the ta.SMA function.
The EWO (Elliott Wave Oscillator) is calculated based on the EWO function, with parameters self.fast_ewo and self.slow_ewo.
The Relative Strength Index (RSI) is calculated for three different time periods (14, 4, and 20) using the ta.RSI function. In the populate_buy_trend method: Buy conditions are defined using a list of conditions. The conditions include checks such as RSI fast being below 35, the closing price being below a certain percentage offset from the corresponding EMA (ma_buy_{self.base_nb_candles_buy.value}), EWO being above a certain threshold (self.ewo_high.value), RSI being below a specified value (self.rsi_buy.value), positive volume, and the closing price being below a certain percentage offset from the corresponding EMA (ma_sell_{self.base_nb_candles_sell.value}). If any of the conditions are met, a 'buy' signal is marked as 1 in the 'buy' column of the dataframe. In the populate_sell_trend method: Sell conditions are defined using a list of conditions. The conditions include checks such as the closing price being above the Hull Moving Average (hma_50), the closing price being above a certain percentage offset from the corresponding EMA (ma_sell_{self.base_nb_candles_sell.value}), RSI being above 50, positive volume, and RSI fast being greater than RSI slow. If any of the conditions are met, a 'sell' signal is marked as 1 in the 'sell' column of the dataframe. Overall, the strategy uses moving averages, oscillators, and other indicators to identify potential buying and selling opportunities in the market based on specified conditions.
The Simple Moving Average (SMA) with a time period of 9 is calculated using the ta.SMA function.
The EWO (Elliott Wave Oscillator) is calculated based on the EWO function, with parameters self.fast_ewo and self.slow_ewo.
The Relative Strength Index (RSI) is calculated for three different time periods (14, 4, and 20) using the ta.RSI function. In the populate_buy_trend method: Buy conditions are defined using a list of conditions. The conditions include checks such as RSI fast being below 35, the closing price being below a certain percentage offset from the corresponding EMA (ma_buy_{self.base_nb_candles_buy.value}), EWO being above a certain threshold (self.ewo_high.value), RSI being below a specified value (self.rsi_buy.value), positive volume, and the closing price being below a certain percentage offset from the corresponding EMA (ma_sell_{self.base_nb_candles_sell.value}). If any of the conditions are met, a 'buy' signal is marked as 1 in the 'buy' column of the dataframe. In the populate_sell_trend method: Sell conditions are defined using a list of conditions. The conditions include checks such as the closing price being above the Hull Moving Average (hma_50), the closing price being above a certain percentage offset from the corresponding EMA (ma_sell_{self.base_nb_candles_sell.value}), RSI being above 50, positive volume, and RSI fast being greater than RSI slow. If any of the conditions are met, a 'sell' signal is marked as 1 in the 'sell' column of the dataframe. Overall, the strategy uses moving averages, oscillators, and other indicators to identify potential buying and selling opportunities in the market based on specified conditions.
stoploss: -0.2 timeframe: 5m hash(sha256): 3b191b5b72e837e51d9b531f385304d54572a494a297ae3353d6123bbd061b65
Was not able to fetch indicators from Strategyfile.
last change: 2023-01-08 14:15:28