ZhuLinsen/daily_stock_analysis · error · DataFetchError

[AlphaVantage] No time series data for {symbol}

Error message

[AlphaVantage] No time series data for {symbol}

What it means

A DataFetchError raised by AlphaVantageFetcher._fetch_raw_data when the response JSON lacks the 'Time Series (Daily)' key or that key maps to an empty object. This means AV neither reported a Note (rate limit) nor an Error Message, but simply returned no series payload — typically a key-privilege or empty-response condition rather than a network fault.

Source

Thrown at data_provider/alphavantage_fetcher.py:70

            'apikey': self._api_key,
        }

        try:
            self.random_sleep(0.5, 1.5)
            resp = requests.get(_AV_BASE_URL, params=params, timeout=30)
            resp.raise_for_status()
            data = resp.json()
        except Exception as e:
            raise DataFetchError(f"[AlphaVantage] HTTP request failed for {symbol}: {e}") from e

        if 'Note' in data:
            raise DataFetchError(f"[AlphaVantage] Rate limited: {data['Note']}")
        if 'Error Message' in data:
            raise DataFetchError(f"[AlphaVantage] API error for {symbol}: {data['Error Message']}")

        ts_key = 'Time Series (Daily)'
        if ts_key not in data or not data[ts_key]:
            raise DataFetchError(f"[AlphaVantage] No time series data for {symbol}")

        rows = []
        start = datetime.strptime(start_date, '%Y-%m-%d').date()
        end = datetime.strptime(end_date, '%Y-%m-%d').date()
        for date_str, values in data[ts_key].items():
            row_date = datetime.strptime(date_str, '%Y-%m-%d').date()
            if start <= row_date <= end:
                rows.append({
                    'date': date_str,
                    '1. open': float(values.get('1. open', 0)),
                    '2. high': float(values.get('2. high', 0)),
                    '3. low': float(values.get('3. low', 0)),
                    '4. close': float(values.get('4. close', 0)),
                    '5. volume': float(values.get('5. volume', 0)),
                })

        if not rows:
            raise DataFetchError(f"[AlphaVantage] No data in date range for {symbol}")

View on GitHub (pinned to 5159bd72e8)

Solutions

  1. Call the same endpoint manually with the key and inspect the raw JSON to see what AV actually returned.
  2. If metadata mentions 'premium', switch symbols/functions to free-tier ones or upgrade the key.
  3. Confirm the symbol has trading history (not a pre-IPO or empty listing).
  4. Fall back to Yfinance/Akshare for this symbol.

Example fix

# debugging recipe
import requests, os
r = requests.get('https://www.alphavantage.co/query', params={
    'function': 'TIME_SERIES_DAILY', 'symbol': sym,
    'apikey': os.environ['ALPHAVANTAGE_API_KEY']})
print(r.json())  # inspect why 'Time Series (Daily)' is absent
Defensive patterns

Strategy: fallback

Validate before calling

import requests, os
r = requests.get('https://www.alphavantage.co/query', params={
    'function': 'TIME_SERIES_DAILY', 'symbol': sym,
    'apikey': os.environ['ALPHAVANTAGE_API_KEY']}, timeout=10)
assert 'Time Series (Daily)' in r.json(), f'unexpected AV payload keys: {list(r.json())}

Try / catch

try:
    df = av_fetcher.fetch(sym, start, end)
except DataFetchError as e:
    if 'No time series data' in str(e):
        logger.info('AV returned no series for %s; using fallback', sym)
        df = yfinance_fetcher.fetch(sym, start, end)
    else:
        raise

Prevention

When it happens

Trigger: Using a free key to request a function/symbol combination reserved for premium (some responses omit the series), AV infrastructure returning a bare metadata-only object, or a symbol with no daily data at all (recent IPO with no trading history, some FX/crypto-style responses).

Common situations: Free-tier key hitting a premium dataset; brand-new IPO before first trading day; occasional AV API shape drift where the series key is renamed.

Related errors

AI-assisted analysis of ZhuLinsen/daily_stock_analysis@5159bd72e8 (2026-08-15). Data as JSON: /api/errors/5c11732feca68cdd. Report an issue: GitHub.