TauricResearch/TradingAgents · warning · ValueError

No OHLCV data available for {symbol}.

Error message

No OHLCV data available for {symbol}.

What it means

Raised by _verified_rows() in tradingagents/dataflows/market_data_validator.py when load_ohlcv() returns None or an empty frame for the symbol — there is no cached or fetchable OHLCV data at all. It is a ValueError from the post-hoc verification path that double-checks analyst numbers against real price data.

Source

Thrown at tradingagents/dataflows/market_data_validator.py:37

# A fixed, common indicator set so the snapshot is the same shape every run.
DEFAULT_SNAPSHOT_INDICATORS: tuple[str, ...] = (
    "close_10_ema", "close_50_sma", "close_200_sma",
    "rsi", "boll", "boll_ub", "boll_lb",
    "macd", "macds", "macdh", "atr",
)


def _verified_rows(symbol: str, curr_date: str) -> pd.DataFrame:
    """OHLCV on or before curr_date, date-sorted. Raises if nothing usable.

    ``load_ohlcv`` already normalizes the Date column and filters out
    look-ahead rows, but we re-apply the cutoff defensively — this is a
    verification path, so it must not trust its input to be pre-filtered.
    """
    data = load_ohlcv(symbol, curr_date)
    if data is None or data.empty:
        raise ValueError(f"No OHLCV data available for {symbol}.")

    df = data.copy()
    df["Date"] = pd.to_datetime(df["Date"], errors="coerce")
    df = df.dropna(subset=["Date"])
    df = df[df["Date"] <= pd.to_datetime(curr_date)].sort_values("Date")
    if df.empty:
        raise ValueError(f"No OHLCV rows on or before {curr_date} for {symbol}.")
    return df


def _fmt(value) -> str:
    if value is None or pd.isna(value):
        return "N/A"
    if isinstance(value, pd.Timestamp):
        return value.strftime("%Y-%m-%d")
    if isinstance(value, bool):
        return str(value)
    if isinstance(value, (int,)):

View on GitHub (pinned to a33fd4c0f1)

Solutions

1. Confirm the symbol is valid and currently trading (delisted tickers won't have data)
2. Warm the cache first by fetching prices for the symbol (get_historical_prices) before running validation, and check the cache file appears under the traderai data dir
3. Configure a wider vendor chain (data_vendors="yfinance,alpha_vantage") so coverage gaps fall through
4. Catch ValueError in the verification caller and report 'cannot verify — no data' instead of aborting

Example fix

# before
rows = _verified_rows("ZZZZZZ", "2025-06-10")  # invalid/uncovered ticker
# -> ValueError: No OHLCV data available for ZZZZZZ.

# after
try:
    rows = _verified_rows(symbol, curr_date)
except ValueError:
    verdict = f"Cannot verify {symbol}: no OHLCV data available"  # graceful degradation

from tradingagents.dataflows.stockstats_utils import load_ohlcv

def has_ohlcv(symbol: str, curr_date: str) -> bool:
    data = load_ohlcv(symbol, curr_date)
    return data is not None and not data.empty

try:
    rows = _verified_rows(symbol, curr_date)
except ValueError as e:
    if "No OHLCV data available" in str(e):
        return f"Cannot verify {symbol}: no market data — report as unverifiable"
    raise

When it happens

Trigger: Validating a claim for a ticker whose cache file was never populated and whose fetch failed, an invalid/delisted ticker, or a symbol that the data vendor simply does not cover (some OTC/foreign symbols). load_ohlcv returning an empty DataFrame triggers this exact branch.

Common situations: LLM hallucinating an obscure ticker; delisted symbols in backtests; restricted vendor coverage for the symbol; cache directory wiped between the data step and verification.

Related errors

• No OHLCV rows on or before {curr_date} for {symbol}.
• Yahoo Finance returned no rows
• latest row is {latest.date()}, {stale_days} days before the
• ticker must be a non-empty string, got {value!r}
• ticker exceeds {max_len} chars: {value!r}

AI-assisted analysis of TauricResearch/TradingAgents@a33fd4c0f1 (2026-08-14). Data as JSON: /api/errors/1a4637bbd90ee997. Report an issue: GitHub.