Data Accuracy

Targeted answers when a specific number Alphio AI shows you doesn't match what you expect.

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Stock data looks wrong. Most "wrong stock data" reports trace to one of a few sources:

• Quote staleness — US stock quotes stream during the session, but during fast moves the on-screen quote may still lag your broker by a moment. Forex and metals pages load their price when you open the page — refresh to see the latest.
• Pre / post-market vs regular session — extended-hours prints can show very different prices from the consolidated tape's last regular print.
• Adjusted vs unadjusted — historical prices may be split / dividend adjusted; the "wrong" number may be the correct adjusted price.
• Wrong ticker disambiguation — same ticker on different venues (US ADR vs home listing) shows different prices.
• Hong Kong quotes are delayed — HK stock quotes are at least 15 minutes delayed, as disclosed on the HK stock detail page. A "wrong" HK price is usually this delay.

Verify against the broker's app for the same session and ticker. If they still disagree, file a data report (see below).

Crypto price doesn't match my exchange. Crypto prices vary across venues:

• Different venue, different price — the same token on Binance, Coinbase, Uniswap, and the chain's native DEX can trade at slightly different prices because each is a separate book.
• Which venue you are looking at — the crypto detail page shows one exchange's quote; use the exchange switcher in the header (Hyperliquid, Binance, KuCoin, OKX, Kraken) to match the venue you trade on.
• Liquidity-driven divergence — on low-cap tokens the price can diverge meaningfully across venues.

For trading decisions, the price that matters is the venue you're actually executing on. Alphio's price is a reference — confirm what you'll actually pay on the order form you're executing with. For broker orders, the stock trade dialog's preview step returns your broker's own estimated price and fees before you commit.

Earnings prediction was way off. Earnings predictions are probabilistic, not deterministic. The published number is a point estimate of a distribution, and surprises (the actual print being far from consensus and from Alphio's estimate) are common across the industry.

• For volatile names (small caps, IPOs, recent listings), per-ticker error tends to be larger.
• The earnings calendar publishes the actual vs estimate figures (EPS and revenue surprise) once a company reports, so you can see how far consensus itself was off.
• Use the prediction as one input alongside consensus, guidance, and your own model — not as a verdict.

If a specific ticker is repeatedly far off across multiple quarters, report it via the data-issue flow so the team can audit the model for that name.

Whales tracker data is delayed. Whales Auto Tracker is built entirely from public disclosures, and those are lagged by regulation — this is expected behaviour, not a bug:

• 13F (institutional) — filed quarterly, with up to a 45-day lag after quarter-end. For example, Q2 data typically only becomes available in mid-August. There is no real-time institutional feed.
• Congressional disclosures — published on their own statutory cadence and surfaced once the filing data is available.
• Rebalance cadence — tracker portfolios are rebalanced weekly against the latest available filings, which are collected monthly (around the 20th).

So if a whale portfolio "feels stale", that is almost always the upstream filing cadence rather than a delay on Alphio's side. Whales Auto Tracker does not track on-chain wallets — it covers institutions and Congress members only.

Where does Alphio's data come from? It depends on the asset class:

• US equities and ETFs — licensed market-data providers for quotes, bars, and fundamentals.
• Hong Kong equities — licensed market data, delayed at least 15 minutes.
• Crypto spot — major exchange market data; the page shows the quote of the exchange selected in the header.
• Hyperliquid perpetuals — the Hyperliquid API directly.
• On-chain (meme) tokens — on-chain and DEX market data; the Boosted list comes from DEX Screener's paid promotions and is not an Alphio recommendation.
• Forex and metals — a licensed quote provider.
• Prediction markets — the Polymarket API.
• Institutional / congressional holdings — datasets derived from public US disclosure filings.
• News and social — articles collected from financial news publishers, plus searches of recent social posts.

See Data sources for the named providers. The specific upstream for a given field can change; if a number looks wrong, the reporting flow below is the fastest route to an answer.

Reporting a data issue. When a data point looks wrong, give the data team the minimum needed to reproduce:

• Ticker / token / address of the affected asset.
• Field (price, market cap, holders count, earnings estimate, etc.).
• Value shown on Alphio at the time you observed.
• Value you expected and the source of that expected value (broker name, exchange URL, on-chain tx).
• Timestamp (your time zone is fine).
• Screenshot if convenient.

In the app, submit it via Profile → Feedback; you can review what you've already sent from the history icon on the Feedback page. On the web, contact support with the same details.