Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The GodStraNewOpt4 strategy is designed for backtesting trading strategies. It involves calculating indicators and generating buy and sell signals based on specific conditions. In the populate_indicators method, indicators are calculated for the given DataFrame and metadata.
However, this strategy only calculates default values for hyperoptable parameters, and the useful calculations are performed inside the buy and sell trend populators.
The populate_buy_trend method populates the buy trend based on certain conditions.
It initializes a list of conditions and then proceeds to generate conditions using the provided indicators, crossed indicators, operators, and real numbers. The condition_generator function is called to generate each condition, and the resulting conditions are appended to the list. If any conditions are present, the corresponding rows in the DataFrame are marked as a buy signal. Similarly, the populate_sell_trend method populates the sell trend based on conditions. It follows the same structure as the populate_buy_trend method, but generates sell conditions instead. If any conditions are met, the corresponding rows in the DataFrame are marked as a sell signal. Overall, the GodStraNewOpt4 strategy calculates indicators, generates buy and sell signals based on specified conditions, and marks the corresponding rows in the DataFrame.
However, this strategy only calculates default values for hyperoptable parameters, and the useful calculations are performed inside the buy and sell trend populators.
The populate_buy_trend method populates the buy trend based on certain conditions.
It initializes a list of conditions and then proceeds to generate conditions using the provided indicators, crossed indicators, operators, and real numbers. The condition_generator function is called to generate each condition, and the resulting conditions are appended to the list. If any conditions are present, the corresponding rows in the DataFrame are marked as a buy signal. Similarly, the populate_sell_trend method populates the sell trend based on conditions. It follows the same structure as the populate_buy_trend method, but generates sell conditions instead. If any conditions are met, the corresponding rows in the DataFrame are marked as a sell signal. Overall, the GodStraNewOpt4 strategy calculates indicators, generates buy and sell signals based on specified conditions, and marks the corresponding rows in the DataFrame.
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -1 timeframe: 5m hash(sha256): 967be639aa3d35d21fd7447bfac4190f4d579dbf147de286dda160c63a442d0b indicators: volume indicator_trend_sma crossed_indicator indicator sharp_indicator
No similar strategies found. (based on used indicators)
last change: 2024-07-28 02:57:34