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The strategy implemented in this backtesting website is called "CombinedBinHAndCluc". It combines two different strategies, namely "BinHV45" and "ClucMay72018", to generate buy and sell signals for trading. The strategy uses the Bollinger Bands indicator to identify potential buy signals.
It calculates the rolling mean and standard deviation of the stock price based on a specified window size.
Then, it compares the stock price with the lower Bollinger Band to determine if it is a good entry point.
It also considers other factors such as the difference between the Bollinger Bands, the price change, and the price range. If these conditions are met, a buy signal is generated. Additionally, the strategy incorporates elements from the "ClucMay72018" strategy. It checks if the stock price is below the exponential moving average (ema_slow) and a certain percentage below the lower Bollinger Band (bb_lowerband). It also considers the volume of trades compared to the mean volume over a specified window size. If these conditions are satisfied, a buy signal is generated. For sell signals, the strategy simply checks if the stock price is above the middle Bollinger Band (bb_middleband). The strategy allows for customization of parameters such as the window sizes, number of standard deviations, and other thresholds. It also sets a minimal return on investment (ROI) and a stop-loss level to manage risk. By backtesting various trading strategies using this website, users can evaluate their performance and optimize their trading decisions.
It calculates the rolling mean and standard deviation of the stock price based on a specified window size.
Then, it compares the stock price with the lower Bollinger Band to determine if it is a good entry point.
It also considers other factors such as the difference between the Bollinger Bands, the price change, and the price range. If these conditions are met, a buy signal is generated. Additionally, the strategy incorporates elements from the "ClucMay72018" strategy. It checks if the stock price is below the exponential moving average (ema_slow) and a certain percentage below the lower Bollinger Band (bb_lowerband). It also considers the volume of trades compared to the mean volume over a specified window size. If these conditions are satisfied, a buy signal is generated. For sell signals, the strategy simply checks if the stock price is above the middle Bollinger Band (bb_middleband). The strategy allows for customization of parameters such as the window sizes, number of standard deviations, and other thresholds. It also sets a minimal return on investment (ROI) and a stop-loss level to manage risk. By backtesting various trading strategies using this website, users can evaluate their performance and optimize their trading decisions.
stoploss: -0.05 timeframe: 5m hash(sha256): a60689c4d7f2945f84e64287416e337f67982ea2426a9633e11f7c867aa49ae4
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last change: 2022-07-02 19:54:08