{"id":1591,"date":"2024-11-03T07:57:00","date_gmt":"2024-11-02T23:57:00","guid":{"rendered":"https:\/\/blog.laoyulaoyu.top\/?p=1591"},"modified":"2024-10-09T11:23:23","modified_gmt":"2024-10-09T03:23:23","slug":"%e6%97%a5%e5%86%85%e4%ba%a4%e6%98%93%e9%9d%a9%e5%91%bd%ef%bc%9a%e9%9d%a2%e5%90%91%e7%8e%b0%e4%bb%a3%e4%ba%a4%e6%98%93%e8%80%85%e7%9a%84-python-%e9%a9%b1%e5%8a%a8%e5%88%86%e6%9e%90%ef%bc%88%e9%99%84","status":"publish","type":"post","link":"https:\/\/www.laoyulaoyu.com\/index.php\/2024\/11\/03\/%e6%97%a5%e5%86%85%e4%ba%a4%e6%98%93%e9%9d%a9%e5%91%bd%ef%bc%9a%e9%9d%a2%e5%90%91%e7%8e%b0%e4%bb%a3%e4%ba%a4%e6%98%93%e8%80%85%e7%9a%84-python-%e9%a9%b1%e5%8a%a8%e5%88%86%e6%9e%90%ef%bc%88%e9%99%84\/","title":{"rendered":"\u65e5\u5185\u4ea4\u6613\u9769\u547d\uff1a\u9762\u5411\u73b0\u4ee3\u4ea4\u6613\u8005\u7684 Python \u9a71\u52a8\u5206\u6790\uff08\u9644\u4ee3\u7801\uff09"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c<\/a><\/p>\n\n\n\n

\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
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\u5199\u5728\u524d\u9762\u7684\u8bdd\uff1a<\/strong>\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u6b3e\u57fa\u4e8e Python \u7684 Streamlit \u5e94\u7528\u7a0b\u5e8f<\/mark>\uff0c\u65e8\u5728\u4e3a Day  traders\uff08\u65e5\u5185\u4ea4\u6613\u8005\uff09\u63d0\u4f9b\u5b9e\u65f6\u6570\u636e\u5206\u6790\u3001\u652f\u6491\u4e0e\u963b\u529b\u6c34\u5e73\u8ba1\u7b97\u3001\u5f02\u5e38\u68c0\u6d4b\u4ee5\u53ca\u65b0\u95fb\u6574\u5408\u7b49\u529f\u80fd\uff0c\u5e2e\u52a9\u4ea4\u6613\u8005\u66f4\u5feb\u5730\u505a\u51fa\u660e\u667a\u7684\u4ea4\u6613\u51b3\u7b56<\/mark>\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u68a6\u60f3\u8fc7\u5446\u5728\u8212\u9002\u7684\u5bb6\u91cc\u5c31\u80fd\u5f81\u670d\u80a1\u5e02\u5417\uff1f<\/strong>Day  traders\uff0c\u7cfb\u597d\u5b89\u5168\u5e26\u6211\u4eec\u9a6c\u4e0a\u53d1\u8f66\uff01\u63a5\u4e0b\u6765\u5c06\u4ecb\u7ecd\u4e00\u6b3e Python \u5de5\u5177\uff0c\u5b83\u53ef\u80fd\u4f1a\u6210\u4e3a\u4f60\u7684\u65b0\u79d8\u5bc6\u6b66\u5668\u3002<\/p>\n\n\n\n
\u60f3\u8c61\u4e00\u4e0b\uff1a<\/strong>Streamlit \u5e94\u7528\u7a0b\u5e8f\u4e0d\u4ec5\u4ec5\u662f\u53e6\u4e00\u4e2a\u80a1\u7968\u8ddf\u8e2a\u5668\uff0c\u800c\u662f\u4e00\u4e2a\u540d\u526f\u5176\u5b9e\u7684\u65e5\u95f4\u4ea4\u6613\u64cd\u4f5c\u6307\u6325\u4e2d\u5fc3\u3002\u8fd9\u4e0d\u662f\u4e3a\u4e86\u957f\u671f\u6301\u6709\uff0c\u800c\u662f\u4e3a\u4e86\u6293\u4f4f\u90a3\u4e9b\u51b3\u5b9a\u65e5\u5185\u4ea4\u6613\u6210\u529f\u4e0e\u5426\u7684\u8fc5\u96f7\u4e0d\u53ca\u63a9\u8033\u7684\u673a\u4f1a\u3002\u8ba9\u6211\u4eec\u7aa5\u63a2\u4e00\u4e0b\u5e55\u540e……<\/p>\n\n\n\n
\u4e00\u3001\u5b9e\u65f6\u6570\u636e<\/strong><\/h3>\n\n\n\n
\u6211\u4eec\u7684\u5e94\u7528\u7a0b\u5e8f\u76f4\u63a5\u63a5\u5165\u96c5\u864e\u8d22\u7ecf\u7684\u8109\u640f\uff0c\u6bcf\u9694\u4e00\u6bb5\u65f6\u95f4\u5c31\u4f1a\u83b7\u53d6\u5bf9\u65e5\u95f4\u4ea4\u6613\u8005\u81f3\u5173\u91cd\u8981\u7684\u6570\u636e\uff1a<\/p>\n\n\n\n
def fetch_data(stock_symbol, interval, yf_period):\n    try:\n        data = yf.download(stock_symbol, period=yf_period, interval=interval)\n        if data.empty:\n            st.error(f\"No data returned for ticker {stock_symbol}. Please check the ticker symbol or interval.\")\n        return data\n    except Exception as e:\n        st.error(f\"Error fetching data from Yahoo Finance: {e}\")\n        return pd.DataFrame()<\/code><\/code><\/pre>\n\n\n\n
\u8be5\u529f\u80fd\u662f\u6211\u4eec\u5e94\u7528\u7a0b\u5e8f\u7684\u6838\u5fc3\u3002\u5b83\u4f7f\u7528 yfinance \u5e93\u4e0b\u8f7d\u5b9e\u65f6\u80a1\u7968\u6570\u636e\u3002\u60a8\u53ef\u4ee5\u9009\u62e9 1 \u5206\u949f\u30015 \u5206\u949f\u6216 15 \u5206\u949f\u7684\u65f6\u95f4\u95f4\u9694\uff0c\u5728\u65e5\u95f4\u4ea4\u6613\u4e2d\u5206\u79d2\u5fc5\u4e89\uff01<\/p>\n\n\n\n
\u4e8c\u3001\u652f\u6491\u4f4d\u548c\u963b\u529b\u4f4d<\/strong><\/h3>\n\n\n\n
\u65e5\u5185\u4ea4\u6613\u8005\u7684\u751f\u6b7b\u53d6\u51b3\u4e8e\u652f\u6491\u4f4d\u548c\u963b\u529b\u4f4d\u3002\u6211\u4eec\u7684\u5e94\u7528\u7a0b\u5e8f\u53ef\u5b9e\u65f6\u8ba1\u7b97\u8fd9\u4e9b\u5173\u952e\u7684\u65e5\u5185\u6c34\u5e73\uff1a<\/p>\n\n\n\n
def calculate_support_resistance(data, window=20):\n    data['Support'] = data['Low'].rolling(window=window).min()\n    data['Resistance'] = data['High'].rolling(window=window).max()\n    return data['Support'].iloc[-1], data['Resistance'].iloc[-1]<\/code><\/code><\/pre>\n\n\n\n
\u8be5\u529f\u80fd\u4f7f\u7528\u6eda\u52a8\u7a97\u53e3\u6765\u786e\u5b9a\u652f\u6491\u4f4d\u548c\u963b\u529b\u4f4d\uff0c\u4f7f\u60a8\u5728\u8bc6\u522b\u6f5c\u5728\u7a81\u7834\u6216\u53cd\u8f6c\u65f6\u66f4\u5177\u4f18\u52bf\u3002<\/p>\n\n\n\n
\u4e09\u3001\u5f02\u5e38\u68c0\u6d4b<\/strong><\/h3>\n\n\n\n
\u5bf9\u4e8e\u65e5\u5185\u4ea4\u6613\u8005\u6765\u8bf4\uff0c\u8fd9\u91cc\u624d\u662f\u771f\u6b63\u4ee4\u4eba\u5174\u594b\u7684\u5730\u65b9\u3002\u6211\u4eec\u4f7f\u7528\u6d1b\u4f26\u5179\u8ddd\u79bb\u7b97\u6cd5\uff08Lorentzian distance algorithm\uff09\u6765\u5bfb\u627e\u7206\u70b8\u6027\u7684\u76d8\u4e2d\u5f02\u5e38\u73b0\u8c61\uff1a<\/p>\n\n\n\n
def lorentzian_distance(x, y):\n    return np.log(1 + (x - y)**2)\n\n# Compute Lorentzian distances\nlorentzian_distances = [lorentzian_distance(data_returns[i], data_returns[i + 1]) for i in range(len(data_returns) - 1)]<\/code><\/code><\/pre>\n\n\n\n
\u8be5\u4ee3\u7801\u53ef\u8ba1\u7b97\u8fde\u7eed\u56de\u62a5\u4e4b\u95f4\u7684\u6d1b\u4f26\u5179\u8ddd\u79bb\uff0c\u5e2e\u52a9\u8bc6\u522b\u4e0d\u5bfb\u5e38\u7684\u4ef7\u683c\u8d70\u52bf\u3002\u5b83\u5c31\u50cf\u4e00\u4e2a\u4e2a\u4eba\u8b66\u62a5\u7cfb\u7edf\uff0c\u80fd\u53ca\u65f6\u53d1\u73b0\u5e02\u573a\u5f02\u5e38\u60c5\u51b5\uff01<\/p>\n\n\n\n
\u56db\u3001\u65b0\u95fb\u6574\u5408<\/strong><\/h3>\n\n\n\n
\u5728\u65e5\u5185\u4ea4\u6613\u7684\u4e16\u754c\u91cc\uff0c\u4e00\u5219\u65b0\u95fb\u6807\u9898\u5c31\u80fd\u8ba9\u80a1\u7968\u66b4\u6da8\u6216\u66b4\u8dcc\u3002\u6211\u4eec\u7684\u5e94\u7528\u7a0b\u5e8f\u63d0\u4f9b\u5b9e\u65f6\u65b0\u95fb\uff1a<\/p>\n\n\n\n
def fetch_stock_news(stock_symbol):\n    url = \"https:\/\/finance.yahoo.com\/rss\/headline?s=\" + stock_symbol\n    feed = feedparser.parse(url)\n    articles = []\n    for entry in feed.entries:\n        articles.append({\n            'title': entry.title,\n            'publishedAt': entry.published,\n            'url': entry.link\n        })\n    return articles<\/code><\/code><\/pre>\n\n\n\n
\u8be5\u529f\u80fd\u53ef\u83b7\u53d6\u4e0e\u60a8\u6240\u9009\u80a1\u7968\u76f8\u5173\u7684\u6700\u65b0\u65b0\u95fb\u62a5\u9053\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u4e94\u3001\u53ef\u89c6\u5316\u56fe\u8868<\/strong><\/h3>\n\n\n\n
\u65e5\u5185\u4ea4\u6613\u65e2\u9700\u8981\u76f4\u89c9\uff0c\u4e5f\u9700\u8981\u6570\u636e\u3002\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u6211\u4eec\u7684\u5e94\u7528\u7a0b\u5e8f\u914d\u5907\u4e86\u4f7f\u7528 Plotly \u5236\u4f5c\u7684\u4e92\u52a8\u56fe\u8868\uff1a<\/p>\n\n\n\n
fig = go.Figure()\nfig.add_trace(go.Candlestick(\n    x=data.index,\n    open=data['Open'],\n    high=data['High'],\n    low=data['Low'],\n    close=data['Close'],<\/code><\/code><\/pre>\n\n\n\n
\u8be5\u4ee3\u7801\u53ef\u521b\u5efa\u6f02\u4eae\u7684\u8721\u70db\u56fe\uff0c\u5e76\u6e05\u6670\u6807\u6ce8\u652f\u6491\u4f4d\u548c\u963b\u529b\u4f4d\uff0c\u7a81\u51fa\u663e\u793a\u5f02\u5e38\u60c5\u51b5\u3002\u6240\u6709\u8fd9\u4e9b\u90fd\u4f1a\u5728\u4f60\u4ea4\u6613\u65f6\u5b9e\u65f6\u66f4\u65b0\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u867d\u7136\u8fd9\u4e2a\u5de5\u5177\u5f88\u5f3a\u5927\uff0c\u4f46\u8bf7\u8bb0\u4f4f\uff0c\u65e5\u5185\u4ea4\u6613\u7684\u98ce\u9669\u6781\u5927\u3002\u65e0\u8bba\u591a\u4e48\u5148\u8fdb\u7684\u5de5\u5177\u90fd\u65e0\u6cd5\u4fdd\u8bc1\u76c8\u5229\u3002\u6211\u4eec\u7684\u5e94\u7528\u7a0b\u5e8f\u80fd\u4e3a\u60a8\u63d0\u4f9b\u6bd4\u4ee5\u5f80\u66f4\u5feb\u3001\u66f4\u5168\u9762\u7684\u4fe1\u606f\u548c\u89c1\u89e3\u3002<\/p>\n\n\n\n
\u516d\u3001\u603b\u7ed3\u56de\u987e<\/strong><\/h3>\n\n\n\n
\u8bb0\u4f4f\uff0c\u5728\u5feb\u8282\u594f\u7684\u65e5\u5185\u4ea4\u6613\u4e2d\uff0c\u77e5\u8bc6\u4e0d\u4ec5\u662f\u529b\u91cf\uff0c\u66f4\u662f\u5229\u6da6\u3002\u56e0\u6b64\uff0c\u6f5c\u5fc3\u94bb\u7814\uff0c\u4fdd\u6301\u4fe1\u606f\u7075\u901a\uff0c\u613f\u4f60\u7684\u65e5\u5185\u56fe\u8868\u8d8b\u52bf\u59cb\u7ec8\u5bf9\u4f60\u6709\u5229\u3002<\/p>\n\n\n\n