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The test_ema strategy is designed to backtest trading strategies using exponential moving averages (EMA) and other technical indicators. Here's a breakdown of its important parts:
The strategy uses a 5-minute timeframe for analyzing price data. It calculates the EMA, SMA, and MACD (Moving Average Convergence Divergence) indicators using the talib library.
The history parameter determines the number of past candles to consider for analysis, while the period parameter sets the time period for the moving averages.
The populate_indicators function populates the dataframe with the calculated indicators for analysis.
The minimal_roi parameter defines the minimum return on investment (ROI) required for a trade to be considered successful. The stoploss parameter sets the maximum allowable loss before a trade is stopped. The populate_buy_trend and populate_sell_trend functions can be used to specify conditions for generating buy and sell signals, respectively. However, in the provided code, these conditions are left empty. Overall, the strategy calculates EMA, SMA, and MACD indicators and can be customized to generate buy and sell signals based on specific conditions.
The history parameter determines the number of past candles to consider for analysis, while the period parameter sets the time period for the moving averages.
The populate_indicators function populates the dataframe with the calculated indicators for analysis.
The minimal_roi parameter defines the minimum return on investment (ROI) required for a trade to be considered successful. The stoploss parameter sets the maximum allowable loss before a trade is stopped. The populate_buy_trend and populate_sell_trend functions can be used to specify conditions for generating buy and sell signals, respectively. However, in the provided code, these conditions are left empty. Overall, the strategy calculates EMA, SMA, and MACD indicators and can be customized to generate buy and sell signals based on specific conditions.
stoploss: -0.1 timeframe: 5m hash(sha256): 376d26f23df96706123e2c3334c1236fdd3207a7492c9f056f993d7016122c81 indicators: talib_macd close macd talib_ema talib_sma
No similar strategies found. (based on used indicators)
last change: 2023-07-02 10:46:25