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The "vulcanhopt" strategy is designed for backtesting trading strategies on a backtesting website. Here's a short description of what the strategy does:
The strategy uses various technical indicators such as RSI (Relative Strength Index) and SMA (Simple Moving Average) to generate buy and sell signals. It calculates the RSI and its moving average (RSI_SMA) based on a specified time period.
It calculates multiple SMAs with different time periods and checks if they are growing (i.e., the current SMA value is higher than the previous three SMA values).
It calculates the stochastic oscillator (slowd and slowk) based on specified periods and checks if they cross a specified sell threshold.
It identifies a lower low pattern by comparing the current closing price with the lowest price of the past 100 periods. For the buy signal, it checks if the following conditions are met: The closing price is higher than the specified SMA value. The SMAs are growing. The RSI is higher than its moving average (RSI_SMA). The RSI is higher than a specified RSI buy threshold. For the sell signal, it checks if the following conditions are met: The slowd and slowk values of the stochastic oscillator are higher than a specified sell threshold. The slowk value crossed below the slowd value. A lower low pattern is detected. If the conditions for a buy or sell signal are satisfied, the corresponding "buy" or "sell" column in the dataframe is set to 1. This strategy aims to generate buy signals when the price is in an uptrend and the RSI indicates buying pressure. It generates sell signals when the price shows a downward trend, the stochastic oscillator indicates overbought conditions, and a lower low pattern is detected.
It calculates multiple SMAs with different time periods and checks if they are growing (i.e., the current SMA value is higher than the previous three SMA values).
It calculates the stochastic oscillator (slowd and slowk) based on specified periods and checks if they cross a specified sell threshold.
It identifies a lower low pattern by comparing the current closing price with the lowest price of the past 100 periods. For the buy signal, it checks if the following conditions are met: The closing price is higher than the specified SMA value. The SMAs are growing. The RSI is higher than its moving average (RSI_SMA). The RSI is higher than a specified RSI buy threshold. For the sell signal, it checks if the following conditions are met: The slowd and slowk values of the stochastic oscillator are higher than a specified sell threshold. The slowk value crossed below the slowd value. A lower low pattern is detected. If the conditions for a buy or sell signal are satisfied, the corresponding "buy" or "sell" column in the dataframe is set to 1. This strategy aims to generate buy signals when the price is in an uptrend and the RSI indicates buying pressure. It generates sell signals when the price shows a downward trend, the stochastic oscillator indicates overbought conditions, and a lower low pattern is detected.
stoploss: -0.25 timeframe: 5m hash(sha256): 235383ae4a6db6d305aeeb289250213c44606b8be43c17bf176ae84d75a9ae4e
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last change: 2023-03-28 04:12:02