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The Hour Strategy is designed to find the best hours of the day to buy and sell assets. It operates on an hourly timeframe, so it is recommended to use a 1-hour timeframe when applying this strategy. The strategy is implemented in the HourBasedStrategy class.
The strategy author is Masoud Azizi (@Mablue), and the GitHub repository for the strategy can be found at https://github.com/mablue/.
Before running the strategy, it requires the installation of hyperopt, which can be done by running the command freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --strategy HourBasedStrategy -e 200.
The strategy defines several parameters and settings for different trading pairs, such as SHIB/USDT, SAND/USDT, and KDA/USDT. Each pair has its own set of parameters, including buy and sell hours, minimal return on investment (ROI), and stop-loss values. The optimal timeframe for this strategy is set to 1 hour (timeframe = '1h'). The strategy uses the populate_indicators method to add an 'hour' column to the dataframe, indicating the hour of each data point. This information is used in the populate_buy_trend and populate_sell_trend methods to determine the buy and sell signals based on the specified buy and sell hours for each trading pair. The strategy implements a simple condition to generate buy and sell signals. If the current hour falls within the specified buy hours, a buy signal is generated. Similarly, if the current hour falls within the specified sell hours, a sell signal is generated. Overall, the Hour Strategy aims to optimize trading by identifying specific hours of the day that have historically shown profitable buy and sell opportunities for different trading pairs.
The strategy author is Masoud Azizi (@Mablue), and the GitHub repository for the strategy can be found at https://github.com/mablue/.
Before running the strategy, it requires the installation of hyperopt, which can be done by running the command freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --strategy HourBasedStrategy -e 200.
The strategy defines several parameters and settings for different trading pairs, such as SHIB/USDT, SAND/USDT, and KDA/USDT. Each pair has its own set of parameters, including buy and sell hours, minimal return on investment (ROI), and stop-loss values. The optimal timeframe for this strategy is set to 1 hour (timeframe = '1h'). The strategy uses the populate_indicators method to add an 'hour' column to the dataframe, indicating the hour of each data point. This information is used in the populate_buy_trend and populate_sell_trend methods to determine the buy and sell signals based on the specified buy and sell hours for each trading pair. The strategy implements a simple condition to generate buy and sell signals. If the current hour falls within the specified buy hours, a buy signal is generated. Similarly, if the current hour falls within the specified sell hours, a sell signal is generated. Overall, the Hour Strategy aims to optimize trading by identifying specific hours of the day that have historically shown profitable buy and sell opportunities for different trading pairs.
stoploss: -0.292 timeframe: 1h hash(sha256): 96b53b453afe34c4f787854ac3bd479e310a85c4214b7d87b5ed1f63d351a693 indicators: date hour
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last change: 2023-07-01 14:43:37