ZhuLinsen/daily_stock_analysis · error · DataFetchError

PytdxFetcher 不支持美股 {stock_code}，请使用 AkshareFetcher 或 Yfinanc

Error message

PytdxFetcher 不支持美股 {stock_code}，请使用 AkshareFetcher 或 YfinanceFetcher

What it means

DataFetchError raised in PytdxFetcher._fetch_raw_data when _is_us_code(stock_code) is true. TDX protocol only serves Chinese markets, so US symbols are rejected up front; the message explicitly tells the DataFetcherManager (and the developer) to switch to AkshareFetcher or YfinanceFetcher.

Source

Thrown at data_provider/pytdx_fetcher.py:324

        wait=wait_exponential(multiplier=1, min=2, max=30),
        retry=retry_if_exception_type((ConnectionError, TimeoutError)),
        before_sleep=before_sleep_log(logger, logging.WARNING),
    )
    def _fetch_raw_data(self, stock_code: str, start_date: str, end_date: str) -> pd.DataFrame:
        """
        从通达信获取原始数据
        
        使用 get_security_bars() 获取日线数据
        
        流程：
        1. 检查是否为美股（不支持）
        2. 使用上下文管理器管理连接
        3. 判断市场代码
        4. 调用 API 获取 K 线数据
        """
        # 美股不支持，抛出异常让 DataFetcherManager 切换到其他数据源
        if _is_us_code(stock_code):
            raise DataFetchError(f"PytdxFetcher 不支持美股 {stock_code}，请使用 AkshareFetcher 或 YfinanceFetcher")

        # 港股不支持，抛出异常让 DataFetcherManager 切换到其他数据源
        if _is_hk_market(stock_code):
            raise DataFetchError(f"PytdxFetcher 不支持港股 {stock_code}，请使用 AkshareFetcher")

        # 北交所不支持，抛出异常让 DataFetcherManager 切换到其他数据源
        if is_bse_code(stock_code):
            raise DataFetchError(
                f"PytdxFetcher 不支持北交所 {stock_code}，将自动切换其他数据源"
            )
        
        market, code = self._get_market_code(stock_code)
        
        # 计算需要获取的交易日数量（估算）
        from datetime import datetime as dt
        start_dt = dt.strptime(start_date, '%Y-%m-%d')
        end_dt = dt.strptime(end_date, '%Y-%m-%d')
        days = (end_dt - start_dt).days

View on GitHub (pinned to 5159bd72e8)

Solutions

  1. Route US symbols to AkshareFetcher or YfinanceFetcher before they reach PytdxFetcher.
  2. If using DataFetcherManager, ensure PytdxFetcher is only in the A-share provider chain, not the US chain.
  3. Add a market pre-check with _is_us_code in your caller if you cannot rely on the manager.

Example fix

# before
df = pytdx_fetcher.get_stock_data("AAPL", start, end)  # DataFetchError

# after
from data_provider.pytdx_fetcher import _is_us_code
if _is_us_code(code):
    df = yfinance_fetcher.get_stock_data(code, start, end)
else:
    df = pytdx_fetcher.get_stock_data(code, start, end)
Defensive patterns

Strategy: type-guard

Validate before calling

from data_provider.pytdx_fetcher import _is_us_code

if _is_us_code(stock_code):
    fetcher = yfinance_fetcher  # or akshare_fetcher
else:
    fetcher = pytdx_fetcher

Type guard

from data_provider.pytdx_fetcher import _is_us_code

def is_us_symbol(code: str) -> bool:
    """True when the code is a US ticker unsupported by pytdx."""
    return _is_us_code(code)

Try / catch

try:
    df = pytdx_fetcher.get_stock_data(code, start, end)
except DataFetchError as e:
    if "不支持美股" in str(e):
        df = yfinance_fetcher.get_stock_data(code, start, end)
    else:
        raise

Prevention

When it happens

Trigger: Passing a US ticker (e.g. AAPL, US.AAPL, formats matched by _is_us_code) to PytdxFetcher._fetch_raw_data for historical daily data.

Common situations: Single-provider pipelines pointed at PytdxFetcher while analyzing multi-market portfolios; a mixed watchlist (A股+美股) routed to the A-share fast path; upstream market detection failing to filter US codes.

Related errors

AI-assisted analysis of ZhuLinsen/daily_stock_analysis@5159bd72e8 (2026-08-15). Data as JSON: /api/errors/a15d2a0f977c1586. Report an issue: GitHub.