The "IndicatorMix" strategy is a trading strategy that combines multiple indicators to generate buy and sell signals. Here's a breakdown of what the strategy does:
Parameters:
The strategy uses a set of parameters for configuring its behavior. These parameters include the buy and sell comparisons, minimal return on investment (ROI), stop loss, timeframe, and others.
Informative Pairs: The strategy determines a list of informative pairs by retrieving the current whitelist of pairs.
It then pairs each of these with different timeframes to create a list of informative pairs.
Populate Informative Indicators: The strategy populates informative indicators by iterating over the informative timeframes and retrieving the corresponding dataframes for each pair. It then applies the indicator calculations to these dataframes. Populate Indicators: The strategy populates the indicators by iterating over all indicators and applying their calculations to the main dataframe. It also merges the informative indicators' data into the main dataframe. Populate Buy Trend: The strategy generates buy signals by creating conditions based on the buy comparisons and the strategy's parameters. It evaluates these conditions on the dataframe and sets the 'buy' column to 1 for the rows that meet the conditions. Populate Sell Trend: The strategy generates sell signals by creating conditions based on the sell comparisons and the strategy's parameters. It evaluates these conditions on the dataframe and sets the 'sell' column to 1 for the rows that meet the conditions. Overall, the strategy combines informative and regular indicators, applies buy and sell conditions based on the configured parameters, and generates corresponding signals in the dataframe.
Informative Pairs: The strategy determines a list of informative pairs by retrieving the current whitelist of pairs.
It then pairs each of these with different timeframes to create a list of informative pairs.
Populate Informative Indicators: The strategy populates informative indicators by iterating over the informative timeframes and retrieving the corresponding dataframes for each pair. It then applies the indicator calculations to these dataframes. Populate Indicators: The strategy populates the indicators by iterating over all indicators and applying their calculations to the main dataframe. It also merges the informative indicators' data into the main dataframe. Populate Buy Trend: The strategy generates buy signals by creating conditions based on the buy comparisons and the strategy's parameters. It evaluates these conditions on the dataframe and sets the 'buy' column to 1 for the rows that meet the conditions. Populate Sell Trend: The strategy generates sell signals by creating conditions based on the sell comparisons and the strategy's parameters. It evaluates these conditions on the dataframe and sets the 'sell' column to 1 for the rows that meet the conditions. Overall, the strategy combines informative and regular indicators, applies buy and sell conditions based on the configured parameters, and generates corresponding signals in the dataframe.
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stoploss: -0.25 timeframe: 5m hash(sha256): 82805c9abbd99cc272f3231fe1598a409bc3de05172f4aac6a0b3213d18ce502
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last change: 2024-07-27 15:26:14