You will be redirected to the original Strategy in 15 seconds.
The "GodStraNew40" strategy is a trading strategy implemented in a backtesting website. Here's a short description of what the strategy does:
The strategy has three main components: indicator population, buy trend population, and sell trend population. Indicator Population:
This component calculates various indicators for all time periods to optimize the strategy.
However, this particular strategy only calculates specific indicators within the buy and sell trend population methods when needed.
The method "populate_indicators" is used to calculate default values of hyperoptable parameters but doesn't provide significant benefits beyond that.
Buy Trend Population: In this component, the strategy defines conditions for initiating a buy signal. The strategy uses multiple indicators, each with its own settings (indicator type, crossed indicator, operator, and real number). The method "condition_generator" is called to generate the conditions based on the indicator settings. The generated conditions are appended to a list. If any conditions exist, the strategy sets the "buy" value to 1 for the corresponding rows in the dataframe. Sell Trend Population: Similarly to the buy trend population, this component defines conditions for initiating a sell signal. It uses multiple indicators with their respective settings. The "condition_generator" method is again used to generate conditions based on the indicator settings. The generated conditions are added to a list. If any conditions exist, the strategy sets the "sell" value to 1 for the corresponding rows in the dataframe. Overall, the strategy calculates specific indicators and generates buy and sell signals based on predetermined conditions.
However, this particular strategy only calculates specific indicators within the buy and sell trend population methods when needed.
The method "populate_indicators" is used to calculate default values of hyperoptable parameters but doesn't provide significant benefits beyond that.
Buy Trend Population: In this component, the strategy defines conditions for initiating a buy signal. The strategy uses multiple indicators, each with its own settings (indicator type, crossed indicator, operator, and real number). The method "condition_generator" is called to generate the conditions based on the indicator settings. The generated conditions are appended to a list. If any conditions exist, the strategy sets the "buy" value to 1 for the corresponding rows in the dataframe. Sell Trend Population: Similarly to the buy trend population, this component defines conditions for initiating a sell signal. It uses multiple indicators with their respective settings. The "condition_generator" method is again used to generate conditions based on the indicator settings. The generated conditions are added to a list. If any conditions exist, the strategy sets the "sell" value to 1 for the corresponding rows in the dataframe. Overall, the strategy calculates specific indicators and generates buy and sell signals based on predetermined conditions.
stoploss: -1 timeframe: 4h hash(sha256): 025eaa29d44b69e29285ac796514dd34b2cf43073852689cb8e602717531bb03 indicators: volume indicator_trend_sma crossed_indicator indicator sharp_indicator
No similar strategies found. (based on used indicators)
last change: 2022-07-02 19:54:08