TauricResearch/TradingAgents · error · NoMarketDataError

no rows between {start_date} and {end_date}

Error message

no rows between {start_date} and {end_date}

What it means

NoMarketDataError raised by get_YFinData in tradingagents/dataflows/y_finance.py when yfinance returns an empty history frame for the requested start/end range. An empty frame almost always means the symbol is unknown, delisted, or has no trading rows in the window. The routing layer converts this typed error into a single unambiguous 'no data' signal so downstream agents never fabricate prices.

Source

Thrown at tradingagents/dataflows/y_finance.py:41

    datetime.strptime(start_date, "%Y-%m-%d")
    end_dt = datetime.strptime(end_date, "%Y-%m-%d")

    # Resolve broker/forex symbols to Yahoo's convention (XAUUSD+ -> GC=F).
    canonical = normalize_symbol(symbol)
    ticker = yf.Ticker(canonical)

    # yfinance treats ``end`` as EXCLUSIVE, so it would drop the requested
    # end_date row (and the current day when end_date is today). Request one day
    # past end_date so the requested range is actually inclusive (#986/#987).
    end_inclusive = (end_dt + relativedelta(days=1)).strftime("%Y-%m-%d")
    data = yf_retry(lambda: ticker.history(start=start_date, end=end_inclusive))

    # Empty result means the symbol is unknown/delisted. Raise a typed error
    # instead of returning prose: the routing layer turns it into a single
    # unambiguous "no data" signal so the agent never fabricates a price.
    if data.empty:
        raise NoMarketDataError(
            symbol, canonical, f"no rows between {start_date} and {end_date}"
        )

    # Remove timezone info from index for cleaner output
    if data.index.tz is not None:
        data.index = data.index.tz_localize(None)

    # Reject a stale frame (e.g. a year-old partial response) before it is
    # formatted into the report. Raises NoMarketDataError, which the router
    # turns into one clear unavailable signal (#1021).
    _assert_ohlcv_not_stale(data, end_date, symbol, canonical)

    # Round numerical values to 2 decimal places for cleaner display
    numeric_columns = ["Open", "High", "Low", "Close", "Adj Close"]
    for col in numeric_columns:
        if col in data.columns:
            data[col] = data[col].round(2)

View on GitHub (pinned to a33fd4c0f1)

Solutions

1. Verify the ticker exists on Yahoo Finance (e.g. open finance.yahoo.com or call yf.Ticker(sym).info) before running the pipeline.
2. Widen the date range or ensure it contains at least one trading day for the symbol's exchange.
3. Catch NoMarketDataError at the orchestration layer and report 'market data unavailable' rather than retrying with the same inputs.
4. If Yahoo is intermittently empty, retry once after a short delay before giving up.

Example fix

# before
data = get_YFinData(start_date, end_date, 'FOOBAR')

# after
from tradingagents.dataflows.errors import NoMarketDataError
try:
    data = get_YFinData(start_date, end_date, 'FOOBAR')
except NoMarketDataError:
    data = None  # handle unavailable symbol explicitly

import yfinance as yf

def symbol_has_history(symbol: str, start: str, end: str) -> bool:
    hist = yf.Ticker(symbol).history(start=start, end=end)
    return not hist.empty

from tradingagents.dataflows.errors import NoMarketDataError

try:
    data = get_YFin_data_window(start_date, end_date, symbol)
except NoMarketDataError as e:
    logger.warning('no market data for %s: %s', symbol, e)
    return None  # or report 'unavailable' upstream; do not retry same inputs

When it happens

Trigger: Calling get_YFinData(symbol, start_date, end_date) with an unrecognized/delisted ticker (e.g. 'FOOBAR'), a symbol with no trading days inside [start_date, end_date], or a date range entirely in the future. yf.Ticker(...).history(...) returns an empty DataFrame and the check raises.

Common situations: Typo'd tickers, delisted symbols, requesting a window before the IPO date, weekend/holiday-only windows, or Yahoo Finance temporarily returning empty payloads for valid symbols.

Related errors

• no fundamentals returned
• no fundamental fields returned
• no balance sheet data
• no cash flow data
• no income statement data

AI-assisted analysis of TauricResearch/TradingAgents@a33fd4c0f1 (2026-08-14). Data as JSON: /api/errors/a6c947c492ad9576. Report an issue: GitHub.