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The "EMASkipPump" strategy is designed to avoid pump and dump market conditions. It uses various technical indicators to make buy and sell decisions. The strategy calculates three exponential moving averages (EMA) with different time periods (short-term, medium-term, and long-term) to identify trends in the market.
In the "populate_indicators" method, the strategy adds the EMA values for the three time periods to the DataFrame.
It also calculates Bollinger Bands using the typical price and adds the lower band, middle band, and upper band values to the DataFrame.
Additionally, it calculates the minimum and maximum values over the EMA_MEDIUM_TERM period. The "populate_buy_trend" method identifies buy opportunities based on the following conditions: The volume is less than 20 times the 30-day average volume. The closing price is below both the short-term EMA and the medium-term EMA. The closing price is equal to the minimum value over the EMA_MEDIUM_TERM period. The closing price is below or equal to the lower Bollinger Band. The "populate_sell_trend" method identifies sell opportunities based on the following conditions: The closing price is above both the short-term EMA and the medium-term EMA. The closing price is equal to or above the maximum value over the EMA_MEDIUM_TERM period. The closing price is above or equal to the upper Bollinger Band. The strategy has a minimal return on investment (ROI) of 0.1, meaning it will only sell after a 10% profit unless sell points are found earlier. The stop loss is set at -0.05, and the strategy operates on a 5-minute timeframe. Overall, the strategy aims to avoid pump and dump scenarios by using moving averages, Bollinger Bands, and volume analysis to make informed buy and sell decisions.
In the "populate_indicators" method, the strategy adds the EMA values for the three time periods to the DataFrame.
It also calculates Bollinger Bands using the typical price and adds the lower band, middle band, and upper band values to the DataFrame.
Additionally, it calculates the minimum and maximum values over the EMA_MEDIUM_TERM period. The "populate_buy_trend" method identifies buy opportunities based on the following conditions: The volume is less than 20 times the 30-day average volume. The closing price is below both the short-term EMA and the medium-term EMA. The closing price is equal to the minimum value over the EMA_MEDIUM_TERM period. The closing price is below or equal to the lower Bollinger Band. The "populate_sell_trend" method identifies sell opportunities based on the following conditions: The closing price is above both the short-term EMA and the medium-term EMA. The closing price is equal to or above the maximum value over the EMA_MEDIUM_TERM period. The closing price is above or equal to the upper Bollinger Band. The strategy has a minimal return on investment (ROI) of 0.1, meaning it will only sell after a 10% profit unless sell points are found earlier. The stop loss is set at -0.05, and the strategy operates on a 5-minute timeframe. Overall, the strategy aims to avoid pump and dump scenarios by using moving averages, Bollinger Bands, and volume analysis to make informed buy and sell decisions.
stoploss: -0.05 timeframe: 5m hash(sha256): 1874b03c9de1bc51ae089ba37e2e4c662af5d23f89686f5c6ccf7ee4fdc220bc
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last change: 2022-07-10 22:38:54