{"id":47205464,"title":"Show HN: ZcoreAI – Z-score regression channel screener","points":1,"user":"tchantchov","time":1772360878,"time_ago":"9 hours ago","type":"link","content":"

Hey HN,

I built ZcoreAI, a quant stock scanner that applies \nDonchian-Weighted regression channels to compute \nZ-scores across multiple timeframes simultaneously.

The idea: instead of eyeballing charts, you get a \nmatrix of Z-score values per ticker per timeframe \nin one scan — so you can spot statistically \noverbought/oversold signals across your watchlist \nin seconds.

How it works:\n- Pick timeframes (1m to 1wk)\n- Pick tickers (or use the preloaded free watchlist)\n- Hit scan — regression channels + Z-scores are \n computed client-side via yfinance

Stack: Python, Streamlit, yfinance, NumPy. \nDeployed on Render.

Free tier available, no signup required to scan.

Happy to discuss the regression channel methodology \nor any feedback on the approach.

Hey HN,

I built ZcoreAI, a quant stock scanner that applies \nDonchian-Weighted regression channels to compute \nZ-scores across multiple timeframes simultaneously.

How it works:\n- Pick timeframes (1m to 1wk)\n- Pick tickers (or use the preloaded free watchlist)\n- Hit scan — regression channels + Z-scores are \n computed client-side via yfinance

Stack: Python, Streamlit, yfinance, NumPy. \nDeployed on Render.

Free tier available, no signup required to scan.

Happy to discuss the regression channel methodology \nor any feedback on the approach.

https://www.zcoreai.com/","url":"https://www.zcoreai.com/","domain":"zcoreai.com","comments":[],"comments_count":0}