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文件
以台股價格、成交量、技術指標與市場廣度建立可重跑的市場狀態觀測流程。
這篇適合需要每日追蹤台股市場狀態、建立篩選流程或監控流程的開發者與研究團隊。
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()prices = get_dataset( "/v2/datasets/twse-daily-price", { "symbol": "2330", "limit": 20, },)tpex_prices = get_dataset( "/v2/datasets/tpex-daily-price", { "symbol": "5483", "limit": 20, },)indices = get_dataset( "/v2/datasets/index-data", { "limit": 10, },)indicators = get_dataset( "/v2/datasets/technical-indicators", { "symbol": "2330", "limit": 20, },)breadth = get_dataset( "/v2/datasets/market-breadth", { "limit": 10, },)市場狀態資料依 snapshot / ingestion cadence 更新，建議與交易日資料一起判讀。
若 workflow 需要橫跨多資料集，請同步檢查 freshness 與 data_gaps，避免把不同更新時間的資料視為同一個時間點。
summary = { "twse_prices": prices.get("rows", []), "tpex_prices": tpex_prices.get("rows", []), "indices": indices.get("rows", []), "technical_indicators": indicators.get("rows", []), "market_breadth": breadth.get("rows", []),} print(summary)完成市場狀態摘要後，可延伸到：