Timmy
48eba04300
Add scripts for querying Taiwan stock market data via Yahoo Finance: - Individual stock quotes (price, OHLC, volume, bid/ask) - Three major institutional investors (foreign, trust, dealer) - Technical indicators (RSI14, ATR14, KD, Bollinger Bands, MACD, MA) - ETF holdings analysis (top 10, industry distribution, asset allocation) - TAIEX weighted index market summary Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
83 lines
2.1 KiB
Python
83 lines
2.1 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from __future__ import annotations
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import json
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import sys
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import urllib.parse
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import urllib.request
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def fetch_closes(symbol: str, range_: str = "6mo", interval: str = "1d") -> list[float]:
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base = f"https://query1.finance.yahoo.com/v8/finance/chart/{symbol}"
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params = {"range": range_, "interval": interval}
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url = f"{base}?{urllib.parse.urlencode(params)}"
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req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
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with urllib.request.urlopen(req, timeout=30) as resp:
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data = json.loads(resp.read().decode("utf-8", errors="replace"))
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result = data.get("chart", {}).get("result", [])
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if not result:
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return []
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quote = result[0].get("indicators", {}).get("quote", [])
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if not quote:
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return []
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closes = quote[0].get("close", [])
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return [float(x) for x in closes if x is not None]
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def sma(values: list[float], window: int) -> float:
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return sum(values[-window:]) / window
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def main() -> None:
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symbol = sys.argv[1] if len(sys.argv) > 1 else "00922.TW"
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closes = fetch_closes(symbol)
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if len(closes) < 60:
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print(f"{symbol} 資料不足：至少需要 60 筆日收盤，當前 {len(closes)}")
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return
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price = closes[-1]
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ma5 = sma(closes, 5)
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ma10 = sma(closes, 10)
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ma20 = sma(closes, 20)
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ma60 = sma(closes, 60)
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bias20 = ((price - ma20) / ma20) * 100
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print(f"{symbol} 均線摘要")
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print(f"- 收盤：{price:.2f}")
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print(f"- MA5 ：{ma5:.2f}")
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print(f"- MA10：{ma10:.2f}")
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print(f"- MA20：{ma20:.2f}")
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print(f"- MA60：{ma60:.2f}")
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print(f"- 20日乖離：{bias20:.2f}%")
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# 簡單判讀
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trend = []
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if price > ma20:
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trend.append("站上月線")
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else:
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trend.append("跌破月線")
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if ma20 > ma60:
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trend.append("中期偏多")
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else:
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trend.append("中期偏弱")
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if ma5 > ma20:
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trend.append("短線強於月線")
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else:
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trend.append("短線弱於月線")
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print(f"- 判讀：{'／'.join(trend)}")
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if __name__ == "__main__":
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main()
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