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The EMASkipPump strategy is a basic trading strategy designed to avoid pump and dump market conditions. It uses a combination of exponential moving averages (EMAs) and Bollinger Bands to make buy and sell decisions. Here's a breakdown of the strategy:
It uses three EMAs of different time periods: a short-term EMA (5 periods), a medium-term EMA (12 periods), and a long-term EMA (21 periods).
The strategy calculates Bollinger Bands based on the typical price and a window of 20 periods with 2 standard deviations.
For the buy signal: The strategy identifies buy opportunities when the following conditions are met: The volume is less than 20 times the 30-period rolling average volume.
The closing price is below both the short-term and medium-term EMAs. The closing price is equal to the minimum price within the medium-term EMA time period. The closing price is lower than or equal to the lower Bollinger Band. The strategy marks these buy opportunities with a value of 1 in the 'buy' column of the DataFrame. For the sell signal: The strategy identifies sell opportunities when the following conditions are met: The closing price is above both the short-term and medium-term EMAs. The closing price is higher than or equal to the maximum price within the medium-term EMA time period. The closing price is higher than or equal to the middle Bollinger Band. The strategy marks these sell opportunities with a value of 1 in the 'sell' column of the DataFrame. Additionally, the strategy defines a minimal return on investment (ROI) table, specifying the minimum ROI required before selling. It also sets a stop loss of -5% (negative 5%) and uses a ticker interval of 5 minutes for trading. Overall, the strategy aims to identify buy opportunities in market conditions where there is no significant pump and dump activity, and sell when the price reaches certain thresholds above the EMAs and Bollinger Bands. Please note that this is a simplified explanation, and there may be additional details and considerations within the strategy's implementation.
The strategy calculates Bollinger Bands based on the typical price and a window of 20 periods with 2 standard deviations.
For the buy signal: The strategy identifies buy opportunities when the following conditions are met: The volume is less than 20 times the 30-period rolling average volume.
The closing price is below both the short-term and medium-term EMAs. The closing price is equal to the minimum price within the medium-term EMA time period. The closing price is lower than or equal to the lower Bollinger Band. The strategy marks these buy opportunities with a value of 1 in the 'buy' column of the DataFrame. For the sell signal: The strategy identifies sell opportunities when the following conditions are met: The closing price is above both the short-term and medium-term EMAs. The closing price is higher than or equal to the maximum price within the medium-term EMA time period. The closing price is higher than or equal to the middle Bollinger Band. The strategy marks these sell opportunities with a value of 1 in the 'sell' column of the DataFrame. Additionally, the strategy defines a minimal return on investment (ROI) table, specifying the minimum ROI required before selling. It also sets a stop loss of -5% (negative 5%) and uses a ticker interval of 5 minutes for trading. Overall, the strategy aims to identify buy opportunities in market conditions where there is no significant pump and dump activity, and sell when the price reaches certain thresholds above the EMAs and Bollinger Bands. Please note that this is a simplified explanation, and there may be additional details and considerations within the strategy's implementation.
stoploss: -0.05 timeframe: 5m hash(sha256): b5b1c5e3f33049dec08733241f44cf4d38f301584e6a3331d12b7325a4f738d8 indicators: min upper mid lower volume bb_middleband close bb_upperband bb_lowerband max
No similar strategies found. (based on used indicators)
last change: 2023-07-28 02:23:24