Stock Screening with Turnover, Stochastic K, and RSI Thresholds

Summary

This post describes an equity screening rule that selects stocks with turnover between 3% and 12%, a Stochastic K value below 20, and an RSI below 65. It presents the combination as a way to find relatively low-priced or weak stocks that remain actively traded, then offers example implementations using screening formulas and Python technical-indicator calculations.

The post gives no performance results or backtest evidence for the rule. Its discussion is qualitative: it cautions that technical filters may overlook company fundamentals and broader market conditions, and recommends considering market and sector trends, industry context, and policy changes. The strategy therefore serves as a screening idea rather than a validated buy signal. The examples also depend on the chosen data source, indicator settings, and the date on which the screen is run; the document does not specify a holding period, exit rule, or risk controls.

Key ideas

• The screen combines turnover from 3% to 12% with Stochastic K below 20 and RSI below 65.
• The post treats the indicator combination as a way to identify actively traded stocks with weak or low-level price conditions.
• It provides examples of expressing the conditions in a screening formula and calculating indicators from stock price data.
• The document reports no test results, so it does not establish that the screen predicts profitable trades.
• The author recommends taking market, sector, industry, policy, and fundamental context into account.

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