Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
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), Bollinger Bands, and other technical indicators to make buy and sell decisions. The strategy has three EMA periods: a short-term EMA with a period of 6, a medium-term EMA with a period of 12, and a long-term EMA with a period of 22.
These EMAs are calculated and stored in the DataFrame.
In the "populate_buy_trend" function, the strategy identifies potential buy signals based on the following conditions: The volume is less than 20 times the 30-day 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 over the medium-term period. The closing price is below or equal to the lower Bollinger Band. In the "populate_sell_trend" function, the strategy identifies potential sell signals based on the following conditions: The closing price is above both the short-term and medium-term EMAs. The closing price is equal to or greater than the maximum price over the medium-term period. The closing price is above or equal to the upper Bollinger Band. The strategy sets the "buy" and "sell" columns in the DataFrame to 1 for the respective buy and sell signals. The strategy also defines a minimal ROI (return on investment) for selling, indicating that it will only sell after a certain percentage of profit has been achieved. Additionally, the strategy sets a stop loss of -0.96, which means that if the price drops by 96% from the buy price, the strategy will sell. The ticker interval for the strategy is set to 4 hours. Overall, the strategy aims to identify potential buying opportunities during market conditions that are not influenced by pump and dump schemes, and it sells with a minimal ROI or if the price reaches the stop loss level.
These EMAs are calculated and stored in the DataFrame.
In the "populate_buy_trend" function, the strategy identifies potential buy signals based on the following conditions: The volume is less than 20 times the 30-day 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 over the medium-term period. The closing price is below or equal to the lower Bollinger Band. In the "populate_sell_trend" function, the strategy identifies potential sell signals based on the following conditions: The closing price is above both the short-term and medium-term EMAs. The closing price is equal to or greater than the maximum price over the medium-term period. The closing price is above or equal to the upper Bollinger Band. The strategy sets the "buy" and "sell" columns in the DataFrame to 1 for the respective buy and sell signals. The strategy also defines a minimal ROI (return on investment) for selling, indicating that it will only sell after a certain percentage of profit has been achieved. Additionally, the strategy sets a stop loss of -0.96, which means that if the price drops by 96% from the buy price, the strategy will sell. The ticker interval for the strategy is set to 4 hours. Overall, the strategy aims to identify potential buying opportunities during market conditions that are not influenced by pump and dump schemes, and it sells with a minimal ROI or if the price reaches the stop loss level.
startup_candle_count : 50 ema_12: -0.001% ema_22: -0.006%
stoploss: -0.96 timeframe: 4h hash(sha256): 2ff145786297b1c75f661ea23005006b6d34fd5e049084f4ce68b6a59ac41694 indicators: min upper mid lower volume bb_middleband close bb_upperband bb_lowerband max
No similar strategies found. (based on used indicators)
last change: 2023-07-01 17:37:18