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Strategy: CofiBitStrategy_4
Downloaded: 20230425
Stoploss: -0.25
The CofiBitStrategy is a trading strategy implemented in Python using the Freqtrade library. It is designed for backtesting trading strategies on financial data. Here is a short description of what the strategy does: The strategy uses technical indicators to make buy and sell decisions based on the given dataframe of financial data.

The minimal_roi attribute specifies the desired return on investment (ROI) for the strategy at different price levels.

For example, it aims for a 5% ROI when the price reaches 40, 6% ROI at 30, 7% ROI at 20, and 10% ROI at 0.

The stoploss attribute sets the desired stop loss for the strategy at -0.25, indicating a 25% loss tolerance. The ticker_interval attribute defines the interval at which the strategy operates. In this case, it is set to '5m', indicating a 5-minute interval. The populate_indicators function calculates various technical indicators, such as stochastic oscillator (STOCH), exponential moving average (EMA), and average directional index (ADX), based on the provided dataframe. The populate_buy_trend function determines the buy signal based on specific conditions. It checks if the opening price is below the EMA low, if the fast %K line crosses above the fast %D line, if both %K and %D are below 30, and if the ADX value is above 30. If these conditions are met, a buy signal is generated. The populate_sell_trend function determines the sell signal based on specific conditions. It checks if the opening price is above the EMA high or if either the %K or %D line crosses above 70. If these conditions are met, a sell signal is generated. Overall, the CofiBitStrategy aims to generate profitable buy and sell signals using technical indicators and predefined ROI and stop loss levels.

Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.25
timeframe: 5m
hash(sha256): f015ff3ba5319dacfdcfc1eb52ddc93ace0b8cd10566be415de54b71af501955
indicators:
ema_close adx ema_high open ema_low
fastd fastk

No similar strategies found. (based on used indicators)

last change: 2024-07-28 01:52:02