Files
ProStock/src/data/daily.py

73 lines
2.4 KiB
Python
Raw Normal View History

"""Simplified daily market data interface.
A single function to fetch A股日线行情 data from Tushare.
Supports all output fields including tor (换手率) and vr (量比).
"""
import pandas as pd
from typing import Optional, List, Literal
from src.data.client import TushareClient
def get_daily(
ts_code: str,
start_date: Optional[str] = None,
end_date: Optional[str] = None,
trade_date: Optional[str] = None,
adj: Literal[None, "qfq", "hfq"] = None,
factors: Optional[List[Literal["tor", "vr"]]] = None,
adjfactor: bool = False,
) -> pd.DataFrame:
"""Fetch daily market data for A-share stocks.
This is a simplified interface that combines rate limiting, API calls,
and error handling into a single function.
Args:
ts_code: Stock code (e.g., '000001.SZ', '600000.SH')
start_date: Start date in YYYYMMDD format
end_date: End date in YYYYMMDD format
trade_date: Specific trade date in YYYYMMDD format
adj: Adjustment type - None, 'qfq' (forward), 'hfq' (backward)
factors: List of factors to include - 'tor' (turnover rate), 'vr' (volume ratio)
adjfactor: Whether to include adjustment factor
Returns:
pd.DataFrame with daily market data containing:
- Base fields: ts_code, trade_date, open, high, low, close, pre_close,
change, pct_chg, vol, amount
- Factor fields (if requested): tor, vr
- Adjustment factor (if adjfactor=True): adjfactor
Example:
>>> data = get_daily('000001.SZ', start_date='20240101', end_date='20240131')
>>> data = get_daily('600000.SH', factors=['tor', 'vr'])
"""
# Initialize client
client = TushareClient()
# Build parameters
params = {"ts_code": ts_code}
if start_date:
params["start_date"] = start_date
if end_date:
params["end_date"] = end_date
if trade_date:
params["trade_date"] = trade_date
if adj:
params["adj"] = adj
if factors:
# Tushare expects factors as comma-separated string, not list
if isinstance(factors, list):
factors_str = ",".join(factors)
else:
factors_str = factors
params["factors"] = factors_str
if adjfactor:
params["adjfactor"] = "True"
# Fetch data using pro_bar (supports factors like tor, vr)
data = client.query("pro_bar", **params)
return data