Transparency and methodology

How CaymanBot turns source data into research views

Quick answer

Every useful market signal has a source, transformation and limitation. This methodology explains what CaymanBot observes directly, what it classifies or estimates and what users should verify before acting.

CaymanBot dashboard combining options market data and public filing research

14-day Premium trial. No credit card required. Market data and analytics are for informational purposes only.

By CaymanBot Research · Last reviewed August 19, 2026

Source versus inference

Exchange prints and filing fields are separated from directional classifications and modeled estimates.

Time-aware data

Views distinguish event, transaction, filing, snapshot and processing timestamps where available.

Corrections matter

Late data, amendments and upstream corrections can update previously displayed results.

Options market data and flow classifications

CaymanBot organizes options transactions and related quote context from licensed and permitted market-data sources. Displayed fields can include symbol, contract, price, size, premium, exchange time, bid, ask, volume, open interest and calculated Greeks when available.

Labels such as bullish, bearish, ask-side, bid-side, sweep, unusual or whale are classifications derived from observable trade and quote characteristics. They are not account-level knowledge. A displayed leg may open or close risk, belong to a spread or hedge another position that the tape does not reveal.

Modeled exposure and analytics

GEX, VEX, Charm, flip levels and related metrics are estimates produced from option data and model assumptions. Inputs and methodology can differ across platforms, and results can change with spot price, volatility, time, open interest, new volume and the expiration set included.

CaymanBot presents snapshot time and surrounding profile where possible so users can judge freshness and avoid treating a single modeled level as certain support, resistance or direction.

  • Market-data entitlements can affect whether a user sees real-time or delayed values.
  • Greeks and exposures are model outputs rather than guaranteed future changes.
  • Illiquid markets and wide quotes can reduce the reliability of execution inferences.
  • Corporate actions and symbol changes can require historical normalization.

Public filings and prediction markets

Congressional disclosures, SEC insider reports and 13F holdings originate from public filing systems. CaymanBot normalizes fields for comparison, but filings can be delayed, amended, incomplete or reported in ranges. The original filing is authoritative when exact legal details matter.

Prediction-market views reflect provider and on-chain data where supported. Prices may be interpreted as probabilities but remain affected by liquidity, fees, market rules and resolution criteria. Wallet labels and performance summaries cannot reveal off-platform hedges or identity unless independently established.

Corrections and responsible use

Upstream corrections, late events and improved normalization can change historical records. Users who find a suspected data issue can contact [email protected] with the page, symbol, timestamp and source detail so the record can be investigated.

CaymanBot provides informational research tools, not individualized investment advice. Users remain responsible for verifying source material, understanding product specifications and applying their own risk controls.

Frequently asked questions

Straight answers about transparency and methodology.

Does a bullish flow label prove a trader bought calls?

No. It is an inference from visible execution and contract details. The transaction may be closing, hedged or part of a multi-leg position.

Why can CaymanBot data change later?

Late events, amended filings, corporate actions and upstream corrections can change normalized or historical records.

Are GEX levels exact?

No. They are model estimates based on data and assumptions and can differ between platforms or update as market conditions change.

How can I report a suspected data problem?

Email [email protected] with the relevant URL, symbol, timestamp and a description of the discrepancy.

Put the research in one place

Start free. Upgrade when you need live data, advanced analytics and alerts.

Start free trial