Files
easy_tdx_max/examples/06_finance/price_limits.py
T
Justin Gu 00825eb24a feat: merge datetime fields in DataFrame output, hide MinuteBar internal fields
- K-line: daily+ periods output 'date' only, minute periods output 'datetime'
- Transactions (tick-by-tick): combine date param + hour/minute into 'datetime'
- XdxrRecord, HistoricalFundFlow: year/month/day merged to 'date'
- MinuteBar: rename unknown_1 to _unknown_1 (hidden from DataFrame)
- MinuteBar: add datetime column computed from bar index (A-share 240-bar pattern)
- get_minute_time_data: use history endpoint only (current-day endpoint broken in pytdx too)
- Update all examples to reflect new DataFrame column names
2026-05-22 04:19:07 +08:00

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535 B
Python

"""演示:计算个股涨跌停价格。"""
from easy_tdx import Market, TdxClient
CODE = "600519"
NAME = "贵州茅台"
with TdxClient.from_best_host() as c:
quotes = c.get_security_quotes([(Market.SH, CODE)])
if not quotes.empty:
q = quotes.iloc[0]
limit_up, limit_down = c.get_price_limits(Market.SH, CODE, NAME, q["pre_close"])
print(f"代码: {CODE} 名称: {NAME}")
print(f"昨收: {q['pre_close']}")
print(f"涨停价: {limit_up}")
print(f"跌停价: {limit_down}")