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The "GodStraNew" strategy is a trading strategy implemented as a class that extends the "IStrategy" interface. It has three main methods: "populate_indicators," "populate_buy_trend," and "populate_sell_trend."
The "populate_indicators" method calculates indicators for all time periods but only calculates default values of hyperoptable parameters. It is primarily used for optimization purposes, but in this strategy, the specific indicators in specific time periods are calculated inside the buy and sell trend populators.
The "populate_buy_trend" method populates the buy signals based on certain conditions.
It initializes a list of conditions and then generates conditions using the "condition_generator" function for each set of buy indicators, buy crossed indicators, buy operators, and buy real numbers.
The conditions are appended to the list. If any conditions exist, the strategy sets the "buy" column of the dataframe to 1 where all the conditions are satisfied. The "populate_sell_trend" method is similar to the "populate_buy_trend" method but populates the sell signals instead. It generates conditions for sell indicators, sell crossed indicators, sell operators, and sell real numbers. The conditions are appended to a list, and if any conditions exist, the strategy sets the "sell" column of the dataframe to 1 where all the conditions are satisfied. Overall, this strategy calculates specific indicators and generates buy and sell signals based on conditions defined by various indicators, crossed indicators, operators, and real numbers.
The "populate_buy_trend" method populates the buy signals based on certain conditions.
It initializes a list of conditions and then generates conditions using the "condition_generator" function for each set of buy indicators, buy crossed indicators, buy operators, and buy real numbers.
The conditions are appended to the list. If any conditions exist, the strategy sets the "buy" column of the dataframe to 1 where all the conditions are satisfied. The "populate_sell_trend" method is similar to the "populate_buy_trend" method but populates the sell signals instead. It generates conditions for sell indicators, sell crossed indicators, sell operators, and sell real numbers. The conditions are appended to a list, and if any conditions exist, the strategy sets the "sell" column of the dataframe to 1 where all the conditions are satisfied. Overall, this strategy calculates specific indicators and generates buy and sell signals based on conditions defined by various indicators, crossed indicators, operators, and real numbers.
stoploss: -0.128 timeframe: 5m hash(sha256): 231274fdc9c9075d817994cec97d0bcc60a64647e64d11bafa41c691c297d2e4 indicators: Momentum Indicators volume Statistic Functions Overlap Studies Pattern Recognition indicator_trend_sma crossed_indicator Price Transform indicator Volume Indicators sharp_indicator Cycle Indicators Volatility Indicators
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last change: 2022-07-10 23:36:39