{"id":10925,"date":"2026-05-21T16:16:55","date_gmt":"2026-05-21T08:16:55","guid":{"rendered":"https:\/\/blog.alltick.co\/zh-CN\/?p=10925"},"modified":"2026-05-21T16:16:55","modified_gmt":"2026-05-21T08:16:55","slug":"%e5%a4%9a%e8%b5%84%e4%ba%a7%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e4%b8%8e%e7%ad%96%e7%95%a5%e4%bc%98%e5%8c%96%ef%bc%9a%e7%94%a8-alltick-api-%e6%8e%a2%e7%b4%a2%e4%ba%a4%e6%98%93%e4%bf%a1%e5%8f%b7","status":"publish","type":"post","link":"https:\/\/blog.alltick.co\/zh-CN\/%e5%a4%9a%e8%b5%84%e4%ba%a7%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e4%b8%8e%e7%ad%96%e7%95%a5%e4%bc%98%e5%8c%96%ef%bc%9a%e7%94%a8-alltick-api-%e6%8e%a2%e7%b4%a2%e4%ba%a4%e6%98%93%e4%bf%a1%e5%8f%b7\/","title":{"rendered":"\u591a\u8d44\u4ea7\u6570\u636e\u5206\u6790\u4e0e\u7b56\u7565\u4f18\u5316\uff1a\u7528 AllTick API \u63a2\u7d22\u4ea4\u6613\u4fe1\u53f7"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

\u5728\u91cf\u5316\u4ea4\u6613\u548c\u8d44\u4ea7\u7ba1\u7406\u4e2d\uff0c\u4ec5\u4f9d\u9760\u5355\u4e00\u5e02\u573a\u7684\u6570\u636e\u5f80\u5f80\u96be\u4ee5\u63d0\u4f9b\u5b8c\u6574\u7684\u7b56\u7565\u89c6\u89d2\u3002\u901a\u8fc7\u591a\u8d44\u4ea7\u6570\u636e\u5206\u6790\uff0c\u53ef\u4ee5\u540c\u65f6\u89c2\u5bdf\u4e0d\u540c\u5e02\u573a\u7684\u4ef7\u683c\u6ce2\u52a8\u548c\u8d8b\u52bf\uff0c\u4ece\u800c\u66f4\u7cbe\u51c6\u5730\u53d1\u73b0\u6f5c\u5728\u4ea4\u6613\u673a\u4f1a\u3002\u672c\u6587\u4ee5 Python \u4e3a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u7ed3\u5408\u5386\u53f2\u884c\u60c5\u6570\u636e\u548c\u5b9e\u65f6 Tick \u6570\u636e\uff0c\u5bf9\u591a\u8d44\u4ea7\u8fdb\u884c\u6307\u6807\u5206\u6790\u548c\u7b56\u7565\u4f18\u5316\u3002<\/p>\n\n\n\n

\u83b7\u53d6\u591a\u8d44\u4ea7\u5386\u53f2\u884c\u60c5<\/strong><\/h2>\n\n\n\n

\u591a\u8d44\u4ea7\u5206\u6790\u7684\u7b2c\u4e00\u6b65\u662f\u83b7\u53d6\u53ef\u9760\u7684\u5386\u53f2\u6570\u636e\u3002\u4ee5\u5916\u6c47\u548c\u52a0\u5bc6\u8d27\u5e01\u4e3a\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7 AllTick API \u83b7\u53d6 OHLC \u6570\u636e\uff0c\u5e76\u7edf\u4e00\u683c\u5f0f\uff0c\u65b9\u4fbf\u540e\u7eed\u5206\u6790\uff1a<\/p>\n\n\n\n

import requests
import pandas as pd

API_URL = “https:\/\/api.alltick.co\/forex\/history”
API_KEY = “your_api_key_here”

symbols = [“EURUSD”, “BTCUSD”, “ETHUSD”]
dfs = []

for symbol in symbols:
    params = {
        “symbol”: symbol,
        “interval”: “1h”,
        “limit”: 500,
        “apikey”: API_KEY
    }
    resp = requests.get(API_URL, params=params)
    df = pd.DataFrame(resp.json())
    df[‘timestamp’] = pd.to_datetime(df[‘timestamp’])
    df[‘symbol’] = symbol
    dfs.append(df)

data = pd.concat(dfs)
print(data.head())
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\u901a\u8fc7\u7edf\u4e00\u683c\u5f0f\u5904\u7406\u591a\u8d44\u4ea7\u6570\u636e\uff0c\u53ef\u4ee5\u8f7b\u677e\u8fdb\u884c\u6307\u6807\u8ba1\u7b97\u548c\u7b56\u7565\u5206\u6790\u3002<\/p>\n\n\n\n

\u5e38\u7528\u6307\u6807\u8ba1\u7b97<\/strong><\/h2>\n\n\n\n

\u5728\u591a\u8d44\u4ea7\u5206\u6790\u4e2d\uff0c\u5747\u7ebf\uff08MA\uff09\u3001\u6ce2\u52a8\u7387\uff08Volatility\uff09\u548c\u76f8\u5bf9\u5f3a\u5f31\u6307\u6570\uff08RSI\uff09\u662f\u5e38\u7528\u5de5\u5177\uff0c\u5e2e\u52a9\u5224\u65ad\u8d8b\u52bf\u65b9\u5411\u3001\u5e02\u573a\u6ce2\u52a8\u5e45\u5ea6\u548c\u8d85\u4e70\u8d85\u5356\u60c5\u51b5\uff1a<\/p>\n\n\n\n

def calculate_indicators(df):
    df = df.copy()
    df[‘MA20’] = df[‘close’].rolling(20).mean()
    df[‘MA50’] = df[‘close’].rolling(50).mean()
    df[‘returns’] = df[‘close’].pct_change()
    df[‘volatility’] = df[‘returns’].rolling(20).std()
   
    delta = df[‘close’].diff()
    up, down = delta.clip(lower=0), -delta.clip(upper=0)
    roll_up = up.rolling(14).mean()
    roll_down = down.rolling(14).mean()
    rs = roll_up \/ roll_down
    df[‘RSI’] = 100 – (100 \/ (1 + rs))
   
    return df

data = data.groupby(‘symbol’).apply(calculate_indicators)
print(data[[‘symbol’,’close’,’MA20′,’MA50′,’volatility’,’RSI’]].tail())
<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u8fd9\u4e9b\u6307\u6807\u53ef\u4ee5\u63d0\u4f9b\u8d8b\u52bf\u5224\u65ad\u3001\u6ce2\u52a8\u89c2\u5bdf\u548c\u5e02\u573a\u5f3a\u5f31\u5206\u6790\u7684\u57fa\u7840\u6570\u636e\uff0c\u4e3a\u7b56\u7565\u4fe1\u53f7\u63d0\u4f9b\u53c2\u8003\u3002<\/p>\n\n\n\n

\u591a\u8d44\u4ea7\u4ea4\u6613\u4fe1\u53f7\u63a2\u7d22<\/strong><\/h2>\n\n\n\n

\u5f53\u4e0d\u540c\u8d44\u4ea7\u7684\u6570\u636e\u90fd\u51c6\u5907\u597d\u540e\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u53d1\u73b0\u6f5c\u5728\u4ea4\u6613\u4fe1\u53f7\u3002\u4f8b\u5982\uff0c\u5f53\u67d0\u8d44\u4ea7\u5747\u7ebf\u4ea4\u53c9\uff0c\u540c\u65f6\u53e6\u4e00\u8d44\u4ea7 RSI \u663e\u793a\u8d85\u5356\u65f6\uff0c\u53ef\u80fd\u5f62\u6210\u8de8\u5e02\u573a\u5957\u5229\u6216\u5bf9\u51b2\u7b56\u7565\u4fe1\u53f7\uff1a<\/p>\n\n\n\n

def generate_signal(df):
    df[‘signal’] = 0
    df.loc[df[‘MA20’] > df[‘MA50’], ‘signal’] = 1
    df.loc[df[‘MA20’] < df[‘MA50’], ‘signal’] = -1
    return df

signals = data.groupby(‘symbol’).apply(generate_signal)
print(signals[[‘symbol’,’close’,’MA20′,’MA50′,’RSI’,’signal’]].tail())
<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u901a\u8fc7\u540c\u65f6\u5206\u6790\u591a\u8d44\u4ea7\u6307\u6807\uff0c\u53ef\u4ee5\u6316\u6398\u66f4\u7ec6\u5316\u7684\u4ea4\u6613\u673a\u4f1a\uff0c\u800c\u4e0d\u4ec5\u4ec5\u4f9d\u8d56\u5355\u4e00\u5e02\u573a\u8d8b\u52bf\u3002<\/p>\n\n\n\n

\u5b9e\u65f6 Tick \u6570\u636e\u6574\u5408<\/strong><\/h2>\n\n\n\n

\u5386\u53f2\u6570\u636e\u53ef\u4ee5\u63d0\u4f9b\u8d8b\u52bf\u53c2\u8003\uff0c\u4f46\u5b9e\u65f6 Tick \u6570\u636e\u80fd\u591f\u6355\u6349\u6bcf\u6b21\u4ef7\u683c\u6ce2\u52a8\uff0c\u4ece\u800c\u652f\u6301\u52a8\u6001\u7b56\u7565\u5206\u6790\u3002\u901a\u8fc7\u7a33\u5b9a\u7684 Tick \u6570\u636e\u6d41\uff0c\u53ef\u4ee5\uff1a<\/p>\n\n\n\n

    \n
  • \u52a8\u6001\u66f4\u65b0\u6307\u6807\u548c\u4ea4\u6613\u4fe1\u53f7<\/li>\n\n\n\n
  • \u5b9e\u65f6\u8c03\u6574\u7b56\u7565\u53c2\u6570<\/li>\n\n\n\n
  • \u4e3a\u53ef\u89c6\u5316\u4eea\u8868\u76d8\u63d0\u4f9b\u8fde\u7eed\u6570\u636e<\/li>\n<\/ul>\n\n\n\n

    \u7ed3\u5408\u5386\u53f2\u6307\u6807\u548c\u5b9e\u65f6 Tick \u6570\u636e\uff0c\u53ef\u4ee5\u5f62\u6210\u5b8c\u6574\u7684\u591a\u8d44\u4ea7\u7b56\u7565\u5206\u6790\u95ed\u73af\uff0c\u4ece\u56de\u6d4b\u5ef6\u4f38\u5230\u5b9e\u65f6\u76d1\u63a7\u3002<\/p>\n\n\n\n

    \u5206\u6790\u4e0e\u4f18\u5316\u601d\u8def<\/strong><\/h2>\n\n\n\n

    \u591a\u8d44\u4ea7\u5206\u6790\u7684\u6838\u5fc3\u4ef7\u503c\uff1a<\/p>\n\n\n\n

      \n
    • \u8de8\u5e02\u573a\u4fe1\u53f7\u53d1\u73b0<\/strong>\uff1a\u5355\u4e00\u5e02\u573a\u96be\u4ee5\u663e\u73b0\u7684\u8d8b\u52bf\uff0c\u5728\u591a\u8d44\u4ea7\u5bf9\u6bd4\u4e2d\u66f4\u6e05\u6670\u3002<\/li>\n\n\n\n
    • \u7b56\u7565\u4f18\u5316<\/strong>\uff1a\u6ce2\u52a8\u7387\u3001RSI \u548c\u5747\u7ebf\u7b49\u6307\u6807\u53ef\u8f85\u52a9\u4f18\u5316\u4ea4\u6613\u4ed3\u4f4d\u548c\u6b62\u635f\u7b56\u7565\u3002<\/li>\n\n\n\n
    • \u5b9e\u65f6\u51b3\u7b56\u652f\u6301<\/strong>\uff1a\u5386\u53f2\u6570\u636e\u4e0e Tick \u6570\u636e\u7ed3\u5408\uff0c\u4e3a\u4ea4\u6613\u7b56\u7565\u63d0\u4f9b\u7cbe\u7ec6\u5165\u573a\u548c\u9000\u51fa\u4fe1\u53f7\u3002<\/li>\n<\/ul>\n\n\n\n

      \u901a\u8fc7\u5386\u53f2\u884c\u60c5\u548c\u5b9e\u65f6 Tick \u6570\u636e\u7684\u7ed3\u5408\uff0c\u53ef\u4ee5\u4ece\u7b56\u7565\u6d4b\u8bd5\u5230\u5b9e\u65f6\u76d1\u63a7\uff0c\u6784\u5efa\u5b8c\u6574\u7684\u591a\u8d44\u4ea7\u7b56\u7565\u4f18\u5316\u6d41\u7a0b\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u6570\u636e\u5229\u7528\u6548\u7387\uff0c\u4e5f\u4e3a\u590d\u6742\u7b56\u7565\u7684\u9a8c\u8bc1\u548c\u4f18\u5316\u63d0\u4f9b\u4e86\u53ef\u9760\u57fa\u7840\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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