mabStra_425

The "mabStra" strategy is a trading strategy designed for backtesting purposes. It uses moving averages (MA) as indicators to generate buy and sell signals. In the "populate_indicators" method, the strategy calculates four moving averages: "buy-fastMA," "buy-slowMA," "sell-fastMA," and "sell-slowMA" using the talib library.

These moving averages are used to determine the trend of the market.

In the "populate_buy_trend" method, the strategy generates a buy signal when the ratio of the "buy-fastMA" to "buy-slowMA" falls within a specific range defined by the "buy-div-min" and "buy-div-max" parameters.

In the "populate_sell_trend" method, the strategy generates a sell signal when the ratio of the "sell-slowMA" to "sell-fastMA" falls within a specific range defined by the "sell-div-min" and "sell-div-max" parameters. The strategy also includes predefined parameters for buying and selling hyperspaces, a ROI table specifying the expected returns at different time intervals, a stop loss percentage, and trailing stop functionality. Overall, the strategy aims to generate profitable trading signals based on the moving average crossovers and the specified buy and sell parameters.