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import yfinance as yf |
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def get_multi_stock_data(tickers): |
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results = [] |
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for ticker in tickers: |
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try: |
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stock = yf.Ticker(ticker) |
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info = stock.info |
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hist_1mo = stock.history(period="1mo")['Close'] |
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hist_3mo = stock.history(period="3mo")['Close'] |
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hist_6mo = stock.history(period="6mo")['Close'] |
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hist_12mo = stock.history(period="1y")['Close'] |
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def perf_change(series): |
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if series.empty: |
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return None |
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return round(((series[-1] - series[0]) / series[0]) * 100, 2) |
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data = { |
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"ticker": ticker, |
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"company_name": info.get("longName", "N/A"), |
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"current_price": info.get("currentPrice", "N/A"), |
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"pe_ratio": info.get("trailingPE", "N/A"), |
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"market_cap": info.get("marketCap", "N/A"), |
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"volume": info.get("volume", "N/A"), |
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"52_week_high": info.get("fiftyTwoWeekHigh", "N/A"), |
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"52_week_low": info.get("fiftyTwoWeekLow", "N/A"), |
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"performance": { |
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"1_month": perf_change(hist_1mo), |
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"3_month": perf_change(hist_3mo), |
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"6_month": perf_change(hist_6mo), |
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"12_month": perf_change(hist_12mo) |
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} |
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} |
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results.append(data) |
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except Exception as e: |
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results.append({"ticker": ticker, "error": str(e)}) |
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return results |
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