You will be redirected to the original Strategy in 15 seconds.
The "GodStraNew_SMAonly" strategy is a trading strategy that focuses on using Simple Moving Average (SMA) indicators to generate buy and sell signals. It implements the following methods:
populate_indicators: This method is responsible for calculating indicators in different time periods, although the strategy optimizes the calculation by only computing specific indicators within the buy and sell strategy methods. It also calculates the default values of hyperoptable parameters.
populate_buy_trend: This method populates the buy signals in the dataframe based on specified conditions.
It generates multiple conditions by extracting values for indicators, crossed indicators, operators, and real numbers from different parameters.
It uses a condition generator function to create the conditions, and if any of the conditions are met, it assigns a value of 1 to the "buy" column in the dataframe. populate_sell_trend: Similar to the populate_buy_trend method, this method populates the sell signals in the dataframe based on specified conditions. It generates conditions using parameters related to sell indicators, crossed indicators, operators, and real numbers. It uses a condition generator function to create the conditions, and if any of the conditions are met, it assigns a value of 1 to the "sell" column in the dataframe. Overall, the strategy utilizes SMA indicators and specified conditions to determine when to generate buy and sell signals in the backtesting process.
populate_buy_trend: This method populates the buy signals in the dataframe based on specified conditions.
It generates multiple conditions by extracting values for indicators, crossed indicators, operators, and real numbers from different parameters.
It uses a condition generator function to create the conditions, and if any of the conditions are met, it assigns a value of 1 to the "buy" column in the dataframe. populate_sell_trend: Similar to the populate_buy_trend method, this method populates the sell signals in the dataframe based on specified conditions. It generates conditions using parameters related to sell indicators, crossed indicators, operators, and real numbers. It uses a condition generator function to create the conditions, and if any of the conditions are met, it assigns a value of 1 to the "sell" column in the dataframe. Overall, the strategy utilizes SMA indicators and specified conditions to determine when to generate buy and sell signals in the backtesting process.
stoploss: -1 timeframe: 5m hash(sha256): bccbdc2ed12056aa90882a1f2de08fd6945b757d25f9c95a7e5a7c962ca60374 indicators: volume indicator_trend_sma crossed_indicator indicator sharp_indicator
No similar strategies found. (based on used indicators)
last change: 2022-07-04 07:42:14