Historical Options Data API for contracts, quotes, trades, and backtests
CuteMarkets provides a historical options data API with contracts using `as_of`, historical quote and trade data, aggregates, and open/close data for event studies, scanners, and backtests.
A historical options data API is useful for backtesting only when it can recreate the contract universe and market context that existed at the decision time. CuteMarkets supports that with `as_of` contract discovery, quote history, trade history, aggregate bars, and expiration lookups.
Historical workflow map
How to keep historical options research point-in-time
Historical options data is only useful if the page explains what the model was allowed to know at the decision timestamp. The workflow should separate listed universe, quote context, trade evidence, and replay output.
| Factor | Page-specific guidance | API implementation |
|---|---|---|
| Universe rebuild | Start with the contracts that existed on the simulated date, not the current chain. | Request `/v1/options/contracts/` with `underlying_ticker`, `as_of`, and expiration filters before selecting an OCC ticker. |
| Timestamp discipline | Quote and trade windows should be anchored to the modeled decision time, not to a broad day-level assumption. | Use `timestamp.gte` and `timestamp.lt` around entry and exit windows, then store quote age and trade timestamp in the artifact. |
| Replay-safe joins | Join contracts, quotes, trades, and aggregates by exact OCC ticker after selection. | Avoid ticker-level shortcuts; carry the selected contract symbol through quote, trade, aggregate, and result rows. |
| Execution realism | Historical last price is context, not proof that a strategy could enter or exit at that level. | Use bid/ask history for fill assumptions and trades for activity confirmation, with explicit rejects for missing or wide quotes. |
| Research output | Useful historical workflows lead from the endpoint to the audit trail a developer will need later. | Record selected contracts, request windows, skipped trades, reject reasons, summary metrics, and source endpoint names. |
Replay discipline
Historical data needs timestamped evidence beyond old rows
A historical options workflow starts with the decision timestamp, then reconstructs what contracts could actually be seen with contracts and as_of filters. It should join the selected OCC ticker to quote windows, trade prints, aggregate bars, and the historical options replay runbook before a backtest fill is trusted.
The core failure modes are covered in the backtesting data quality checklist, backtesting execution realism guide, and market hours and timestamps guide. Use those references when the historical workflow needs more than a curl example.
Event studies
For earnings or volatility events, use the historical options replay article and the NVDA earnings replay as concrete reading paths.
Execution checks
Before trusting a result, compare it with quote-aware fills, why option quotes matter, and the backtest realism checker.
Replay recipe
Historical options replay from event timestamp to audit artifact
This is the workflow a research team should expect from a serious historical options data API before it trusts a backtest, event replay, or scanner evaluation.
| Step | Endpoint layer | Audit output |
|---|---|---|
| Define the event | External event log plus underlying reference data | Event timestamp, pre-event observation window, post-event exit window, underlying price. |
| Discover expirations | Expirations endpoint | Listed dates, selected cycle, DTE, and calendar assumptions. |
| Rebuild contracts | Contracts with `as_of` | Exact OCC tickers that existed at the decision date. |
| Shortlist candidates | Chain snapshot or contract filters | Moneyness, delta, IV, open interest, volume, and spread prefilters. |
| Price the entry | Historical quotes | Bid, ask, midpoint sensitivity, quote age, and spread reject status. |
| Validate activity | Trades and aggregates | Printed activity, bar path, tape context, and empty-interval notes. |
| Publish the artifact | Stored request URLs and result rows | Selected legs, skipped legs, rejects, PnL assumptions, and source endpoint names. |
Backtest controls
Historical options data checks that stop false confidence
| Check | Bad shortcut | Better CuteMarkets workflow |
|---|---|---|
| Contract universe | Select from today's chain. | Use contracts with `as_of` and selected expiration filters. |
| Fill price | Use last price or midpoint for every fill. | Use bid/ask quotes with explicit side, spread, and quote freshness. |
| Liquidity | Rank only by same-day volume. | Combine open interest, volume, quote size, spread percent, and no-bid checks. |
| Event timing | Use the whole day as one state. | Separate pre-event observation, entry, post-event exit, and market-open windows. |
| Missing data | Drop rows without explanation. | Preserve reject reasons and incomplete-pagination warnings in the artifact. |
Why teams use it
What makes a historical options data API usable for research
Contracts with `as_of`
Reconstruct the historical contract universe instead of accidentally using today's listings in a past event study.
Historical quote history
Inspect spread quality and bid/ask behavior instead of treating the midpoint as always available.
Historical trade history
Review actual prints and time-and-sales behavior to judge liquidity and entry quality around events.
OHLC aggregates and open/close
Support event-study pricing, daily snapshots, and broader historical analysis using bar data and single-day endpoints.
Expiration lookups
Align historical studies with the correct post-event expiry structure rather than guessing from today's chain.
Docs and examples
Go straight to the endpoint docs and historical-options research articles published on CuteMarkets.
Developer examples
Two code paths teams usually need first
Request 01
historical contracts
curl "https://api.cutemarkets.com/v1/options/contracts/?underlying_ticker=AAPL&as_of=2025-10-29&expiration_date=2025-11-21&limit=25" \
-H "Authorization: Bearer YOUR_API_KEY"Request 02
historical quotes
curl "https://api.cutemarkets.com/v1/options/quotes/O:AAPL251121C00225000/?timestamp.gte=2025-10-29T13:30:00Z×tamp.lt=2025-10-29T20:00:00Z" \
-H "Authorization: Bearer YOUR_API_KEY"Use cases
What you can build with this options data API
Options backtesting
Rebuild historical structures with the data objects needed for causal entry and exit assumptions.
Open how-toStep 02Earnings event studies
Combine an external earnings calendar with historical contracts, quotes, trades, and expiries.
Open how-toStep 03Quote-quality filters
Reject names or contracts that look tradable on a chain but were too wide when the trade would have happened.
Open how-toStep 04Historical screeners
Backfill research dashboards and signal studies with historically correct contracts and bar data.
Open how-toResearch standard
Historical options data must rebuild what the market could see
A historical options guide needs more than a promise of older prices. It should teach point-in-time contract selection, quote windows, trade validation, and the specific failure modes that make many options backtests look better than they are.
Start from listed contracts
Use `as_of` contract discovery and expiration filters before choosing legs, especially around earnings, index events, splits, and short-dated cycles.
Replay quote windows, not daily summaries
Entry and exit assumptions should be tied to bid/ask rows around the decision timestamp, with quote age and spread gates logged beside each fill.
Keep rejects in the output
Rejected contracts are part of the evidence. Wide spreads, no-bid exits, missing quotes, and incomplete pages tell the reader what could not be traded.
Evaluate and compare
Why chain snapshots alone are not enough
Historical options data becomes far more useful when contract discovery, quotes, trades, and aggregates live together. That prevents a common failure mode where the study is historical in name and static in practice.
Open next
Docs and research for the next step
Docs to open next
Relevant API docs
Tutorials and research
Related articles
FAQ
Common questions about this options data API
What should a historical options data API include for backtesting?
At minimum it should support historical contract discovery, historical quotes or trades, and historical pricing aggregates. Otherwise the backtest quickly becomes too optimistic.
Does CuteMarkets provide both real-time and historical options data?
Yes. CuteMarkets supports real-time snapshots and historical workflows across contracts, trades, quotes, aggregates, and expirations, with plan-specific live or delayed access.
Do you provide quotes, trades, and historical contracts?
Yes. The platform includes contracts, chain snapshots, contract snapshots, trade history, quote history, aggregates, and expiration lookups for U.S.-listed options.
Do you provide the earnings calendar too?
CuteMarkets provides the options data layer. Earnings timing should come from a dedicated earnings calendar source that you combine with the options data.
Build historical options workflows on more than a static chain snapshot
Use historically correct contracts, quote and trade context, and aggregate data from one API surface, then move from docs into production with a free key.