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The ema strategy is a trading strategy that uses exponential moving averages (EMA) to generate buy and sell signals. Here's a breakdown of how the strategy works:
The strategy defines the following parameters:
max_open_trades: Maximum number of open trades allowed. stake_amount: Amount of currency to stake per trade.
stoploss: Optimal stop-loss value for the strategy.
minimal_roi: Minimal return on investment (ROI) designed for the strategy.
timeframe: Optimal timeframe for analyzing price data. trailing_stop: Whether to use a trailing stop-loss. trailing_stop_positive: Trailing stop-loss positive percentage. trailing_stop_positive_offset: Trailing stop-loss positive offset. The strategy uses the populate_indicators method to calculate various technical indicators: ema6: 9-period exponential moving average. ema24: 18-period exponential moving average. ema11: 32-period exponential moving average. ema25: 64-period exponential moving average. ema: The difference between ema6 and ema24. ema2: The difference between ema11 and ema25. It is also smoothed with a simple moving average (SMA) using a time period of 29. The populate_buy_trend method generates buy signals based on the indicators: If the ema line crosses above the ema2 line, a buy signal is generated. The populate_sell_trend method generates sell signals based on the indicators: If the ema line crosses below the ema2 line, a sell signal is generated. The strategy aims to take advantage of the crossovers between the different exponential moving averages to identify potential entry and exit points for trades. Keep in mind that this is a simplified explanation, and there may be additional considerations or conditions within the strategy's implementation.
stoploss: Optimal stop-loss value for the strategy.
minimal_roi: Minimal return on investment (ROI) designed for the strategy.
timeframe: Optimal timeframe for analyzing price data. trailing_stop: Whether to use a trailing stop-loss. trailing_stop_positive: Trailing stop-loss positive percentage. trailing_stop_positive_offset: Trailing stop-loss positive offset. The strategy uses the populate_indicators method to calculate various technical indicators: ema6: 9-period exponential moving average. ema24: 18-period exponential moving average. ema11: 32-period exponential moving average. ema25: 64-period exponential moving average. ema: The difference between ema6 and ema24. ema2: The difference between ema11 and ema25. It is also smoothed with a simple moving average (SMA) using a time period of 29. The populate_buy_trend method generates buy signals based on the indicators: If the ema line crosses above the ema2 line, a buy signal is generated. The populate_sell_trend method generates sell signals based on the indicators: If the ema line crosses below the ema2 line, a sell signal is generated. The strategy aims to take advantage of the crossovers between the different exponential moving averages to identify potential entry and exit points for trades. Keep in mind that this is a simplified explanation, and there may be additional considerations or conditions within the strategy's implementation.
stoploss: -1 timeframe: 5m hash(sha256): 3b862241b94410164e74a70f69187e6bcfd11f28c5ad89fced3fb5819646405b indicators: ema2 ema ema6 ema11 ema2sell ema24 ema25
No similar strategies found. (based on used indicators)
last change: 2023-06-28 04:53:32