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The Apollo11 strategy is a trading strategy that uses various indicators to make buy and sell decisions in the market. Here is a brief description of how the strategy works:
Indicator Calculation:
Exponential Moving Averages (EMAs) of different time periods are calculated for the input dataframe. Additional EMAs and other derived values are calculated based on certain offsets and parameters.
Bollinger Bands, Standard Deviation, Average True Range (ATR), and other indicators are calculated.
Buy Trend: The strategy evaluates multiple buy signals and their respective conditions.
If the conditions for a buy signal are met, certain columns in the dataframe are updated to indicate a buy signal. Sell Trend: The strategy does not implement specific sell conditions but sets the "sell" column to 0 for all rows. Profit Calculation: The strategy calculates the current profit and determines the profit percentage for the trade. Based on the profit percentage, a corresponding percentage of the current profit is returned as a potential sell signal. If the profit is greater than certain thresholds (0.2, 0.1, 0.06, and 0.03), fixed percentages (0.04, 0.03, 0.02, and 0.01) of the profit are returned as sell signals. If the profit is less than or equal to -0.10, the strategy checks the open date of the trade and returns a modified percentage of the profit based on the time passed since the trade was opened. If the profit is less than or equal to -0.08, a similar check is performed, but with a different adjustment factor. If none of the above conditions are met, -1 is returned, indicating no sell signal. Overall, the Apollo11 strategy uses a combination of technical indicators and predefined buy/sell conditions to generate trading signals for backtesting purposes.
Bollinger Bands, Standard Deviation, Average True Range (ATR), and other indicators are calculated.
Buy Trend: The strategy evaluates multiple buy signals and their respective conditions.
If the conditions for a buy signal are met, certain columns in the dataframe are updated to indicate a buy signal. Sell Trend: The strategy does not implement specific sell conditions but sets the "sell" column to 0 for all rows. Profit Calculation: The strategy calculates the current profit and determines the profit percentage for the trade. Based on the profit percentage, a corresponding percentage of the current profit is returned as a potential sell signal. If the profit is greater than certain thresholds (0.2, 0.1, 0.06, and 0.03), fixed percentages (0.04, 0.03, 0.02, and 0.01) of the profit are returned as sell signals. If the profit is less than or equal to -0.10, the strategy checks the open date of the trade and returns a modified percentage of the profit based on the time passed since the trade was opened. If the profit is less than or equal to -0.08, a similar check is performed, but with a different adjustment factor. If none of the above conditions are met, -1 is returned, indicating no sell signal. Overall, the Apollo11 strategy uses a combination of technical indicators and predefined buy/sell conditions to generate trading signals for backtesting purposes.
startup_candle_count : 480 s1_ema_xxl: 0.020% s2_ema_xxl_off: 0.013% s2_ema_xxl: 0.013%
stoploss: -0.16 timeframe: 5m hash(sha256): 2077320b1b7dec58ae4cff7b1fce47f1f76935bdc39c88f069be96b4a8e64add indicators: s1_ema_xxl close s2_bb_lower_band s2_fib_lower_band s1_ema_md volume s3_bb_lowerband s1_ema_xl s2_bb_std_dev_value s2_ema slowMA s1_ema_xs s2_ema_xxl_off s2_ema_xxl s1_ema_sm hist vwmacd signal fastMA low
Similar Strategies: (based on used indicators)
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last change: 2023-06-24 19:35:54