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https://github.com/shawnkim1997/All-in-one-Financial-Analysis.git
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shawnkim1997
38c56a5a43
Add asset-type aware market/overview flows, portfolio OCR reverse-engineering with exchange overrides, and interactive index heatmap features. Update README with recent updates and wire backend/frontend APIs for FX matrix, exchange options, and improved portfolio editing flows. Made-with: Cursor
48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
"""Stock screener service."""
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from __future__ import annotations
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async def run_screener(filters: dict, universe: str = "sp500") -> list[dict]:
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"""Run simple screening against S&P 500 universe."""
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import pandas as pd
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import yfinance as yf
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try:
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table = pd.read_html("https://en.wikipedia.org/wiki/List_of_S%26P_500_companies")[0]
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tickers = table["Symbol"].astype(str).tolist()
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except Exception:
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tickers = []
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results = []
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for ticker in tickers:
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try:
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info = yf.Ticker(ticker).info or {}
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pe = info.get("forwardPE")
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mcap = info.get("marketCap")
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sector = info.get("sector")
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div = info.get("dividendYield")
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if filters.get("pe_max") and ((pe or 9999) > filters["pe_max"]):
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continue
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if filters.get("sector") and sector != filters["sector"]:
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continue
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if filters.get("market_cap_min") and ((mcap or 0) < filters["market_cap_min"]):
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continue
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if filters.get("div_yield_min") and (((div or 0) * 100) < filters["div_yield_min"]):
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continue
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results.append(
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{
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"ticker": ticker,
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"name": info.get("shortName", ""),
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"sector": sector or "",
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"market_cap": mcap,
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"pe": pe,
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"div_yield": (div * 100) if div is not None else None,
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"price": info.get("currentPrice") or info.get("regularMarketPrice"),
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"change_pct": info.get("regularMarketChangePercent"),
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}
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)
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except Exception:
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continue
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return results
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