Cookie settings
We use essential cookies to keep you signed in and secure, and analytics cookies to improve the product. We never use them for ad tracking.Learn more
Building an AI agent? Start with /llms.txt for the full site index.
文件
使用三大法人與融資融券資料,建立可驗證的台股籌碼觀察流程。
這篇適合要追蹤外資、投信、自營商與信用交易變化的研究者與開發者。
若你想把籌碼面接入策略或 AI agent 研究流程,可從本頁的最小查詢流程開始。
Python 3.9+、requests、X-API-Key、symbol(例如 2330)。
import requests BASE_URL = "https://api.twmarketdata.com"HEADERS = { "X-API-Key": "your_api_key_here",} def get_dataset(path, params): response = requests.get( f"{BASE_URL}{path}", headers=HEADERS, params=params, ) response.raise_for_status() return response.json()三大法人買賣超可用於觀察資金流向與籌碼變化。資料單位以 shares 為主,實際欄位請以 API 文件回應為準。
flow = get_dataset( "/v2/datasets/institutional-flow", { "symbol": "2330", "limit": 10, },)融資融券可補充信用交易與市場槓桿情緒,適合與法人流向一起判讀。
margin = get_dataset( "/v2/datasets/margin-short", { "symbol": "2330", "limit": 10, },)announcements = get_dataset( "/v2/datasets/issuer-announcements", { "symbol": "2330", "limit": 5, },)events = get_dataset( "/v2/datasets/events", { "symbol": "2330", "limit": 5, },) structured_events = get_dataset( "/v2/datasets/structured-events", { "symbol": "2330", "limit": 5, },)result = { "institutional_flow": flow.get("rows", []), "margin_short": margin.get("rows", []), "announcements": announcements.get("rows", []), "events": events.get("rows", []), "structured_events": structured_events.get("rows", []),} print(result)institutional-flow 資料集 coverage 仍在持續補齊中。請在 workflow 內保留 data_gaps 與缺值處理,不要直接把缺口當成 0。
完成籌碼與事件整合後,可延伸到: