Selecting Stocks with iWencai for Minute-Level Backtesting

Summary

This community post presents a strategy backtesting framework that uses an iWencai selection function to choose stocks and run minute-level simulations. That outlines a basic workflow for testing intraday rules on a filtered equity universe: define a stock selection, then evaluate strategy behavior at finer-than-daily frequency.

The page provides no visible strategy source, performance results, data assumptions, or details about how orders and exits are handled. A commenter specifically suggests adding exit rules for stocks that stop meeting the original selection conditions, highlighting a practical limitation of the described framework. The post therefore offers a narrow implementation concept rather than evidence that a particular trading strategy is profitable or robust. Readers would need the underlying framework and a clearly specified execution and exit model to assess its usefulness in research.

Key ideas

• The framework selects stocks through iWencai and supports minute-level backtesting.
• The post does not show the strategy source code or report backtest results.
• A commenter identifies the handling of stocks that no longer meet selection conditions as a possible improvement.
• Execution and exit assumptions would be needed to evaluate the framework’s realism.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.