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The "CofiBitStrategy" is a trading strategy designed for backtesting on a website. Here's a breakdown of what the strategy does:
Minimal ROI (Return on Investment): The strategy has predefined minimal ROI levels at different time periods. These levels specify the minimum expected return for the strategy at each period.
Stoploss: The strategy has an optimal stoploss level, which represents the maximum tolerable loss before exiting a trade.
Timeframe: The strategy is optimized for a 5-minute timeframe, meaning it analyzes and makes decisions based on data within 5-minute intervals.
Indicator Population: The strategy calculates and populates several technical indicators on the input dataframe, including: Stochastic Fast Oscillator (STOCHF) with parameters (5, 3, 0, 3, 0), resulting in 'fastk' and 'fastd' values. Exponential Moving Average (EMA) on 'high', 'close', and 'low' prices with a time period of 5, resulting in 'ema_high', 'ema_close', and 'ema_low' values. Average Directional Index (ADX) indicator. Buy Signal: The strategy determines the buy signal based on the following conditions: The open price is lower than the EMA low. The 'fastk' line crosses above the 'fastd' line. The 'fastk' and 'fastd' values are below 30. The ADX value is above 30. Sell Signal: The strategy determines the sell signal based on the following conditions: The open price is equal to or greater than the EMA high. Either the 'fastk' or 'fastd' line crosses above 70. The strategy calculates these signals and populates the 'buy' and 'sell' columns in the input dataframe accordingly.
Stoploss: The strategy has an optimal stoploss level, which represents the maximum tolerable loss before exiting a trade.
Timeframe: The strategy is optimized for a 5-minute timeframe, meaning it analyzes and makes decisions based on data within 5-minute intervals.
Indicator Population: The strategy calculates and populates several technical indicators on the input dataframe, including: Stochastic Fast Oscillator (STOCHF) with parameters (5, 3, 0, 3, 0), resulting in 'fastk' and 'fastd' values. Exponential Moving Average (EMA) on 'high', 'close', and 'low' prices with a time period of 5, resulting in 'ema_high', 'ema_close', and 'ema_low' values. Average Directional Index (ADX) indicator. Buy Signal: The strategy determines the buy signal based on the following conditions: The open price is lower than the EMA low. The 'fastk' line crosses above the 'fastd' line. The 'fastk' and 'fastd' values are below 30. The ADX value is above 30. Sell Signal: The strategy determines the sell signal based on the following conditions: The open price is equal to or greater than the EMA high. Either the 'fastk' or 'fastd' line crosses above 70. The strategy calculates these signals and populates the 'buy' and 'sell' columns in the input dataframe accordingly.
stoploss: -0.25 timeframe: 5m hash(sha256): c026cba76750c1904da1e08dcae135204583d7500f3c70b814478da1c56bc438
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last change: 2022-07-02 19:54:08