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The SuperTrend strategy is a trading strategy that uses various technical indicators to generate buy and sell signals. Here's a breakdown of its key components:
Indicators:
TEMA (Triple Exponential Moving Average) is calculated with a period of 9. MACD (Moving Average Convergence Divergence) is calculated, and its components (macd, macdsignal, macdhist) are added to the dataframe.
EMAs (Exponential Moving Averages) are calculated with periods of 12, 50, and 200 and added to the dataframe.
RSI (Relative Strength Index) is calculated and added to the dataframe.
Overbought and oversold levels are set at 70 and 30, respectively. Bollinger Bands are calculated with a window of 20 and standard deviation of 2. The lower, middle, and upper bands are added to the dataframe. Additionally, the percentage of close price within the bands (bb_percent) and the width of the bands relative to the middle band (bb_width) are calculated. SuperTrend: Two Supertrend indicators are calculated using the high, low, and close prices with a specified period and multiplier. The resulting long and short signals are added to the dataframe. Buy Signal: The buy trend is populated when the following conditions are met: The 12-period EMA is greater than the 50-period EMA. The RSI is less than 30. The close price is below the lower Bollinger Band. The volume is greater than 0. Sell Signal: The sell trend is populated based on specific conditions, which are not provided in the given code snippet. The strategy aims to identify potential buying opportunities based on the alignment of various indicators and predefined criteria. However, the exact conditions for generating sell signals are missing from the code snippet, so it's unclear when to sell according to this strategy.
EMAs (Exponential Moving Averages) are calculated with periods of 12, 50, and 200 and added to the dataframe.
RSI (Relative Strength Index) is calculated and added to the dataframe.
Overbought and oversold levels are set at 70 and 30, respectively. Bollinger Bands are calculated with a window of 20 and standard deviation of 2. The lower, middle, and upper bands are added to the dataframe. Additionally, the percentage of close price within the bands (bb_percent) and the width of the bands relative to the middle band (bb_width) are calculated. SuperTrend: Two Supertrend indicators are calculated using the high, low, and close prices with a specified period and multiplier. The resulting long and short signals are added to the dataframe. Buy Signal: The buy trend is populated when the following conditions are met: The 12-period EMA is greater than the 50-period EMA. The RSI is less than 30. The close price is below the lower Bollinger Band. The volume is greater than 0. Sell Signal: The sell trend is populated based on specific conditions, which are not provided in the given code snippet. The strategy aims to identify potential buying opportunities based on the alignment of various indicators and predefined criteria. However, the exact conditions for generating sell signals are missing from the code snippet, so it's unclear when to sell according to this strategy.
stoploss: -0.02 timeframe: 1m hash(sha256): 8906a5d26582e786bffdff1c24256d6ad6c953180686275ef240c4778ee04dc6 indicators: high basic_lb volume basic_ub TR supertrend_3_buy_multiplier_period ATR final_lb close STX supertrend_1_sell_multiplier_period supertrend_1_buy_multiplier_period supertrend_2_sell_multiplier_period low supertrend_3_sell_multiplier_period basic_ub basic_lb final_ub final_lb final_ub supertrend_2_buy_multiplier_period
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last change: 2023-09-02 11:33:10