Options Backtesting API for historical contracts, quotes, trades, and expirations
CuteMarkets gives backtesting teams the options data objects that make historical simulations defensible: contracts with `as_of`, listed expirations, quote history, trade history, aggregates, and snapshot context.
An options backtesting API should prevent stale-contract leakage and unrealistic fills. CuteMarkets supports backtests with historical contract discovery, listed expirations, quote history, trade history, aggregate bars, and snapshot context so the tested contract and fill assumption can be inspected.
Why teams use it
What an options backtesting API needs before a result is trusted
Historical contract universe
Use `as_of` contract discovery so a model only sees contracts that existed on the research date.
Expiration-aware selection
Fetch listed dates before selecting weekly, monthly, or event-driven expirations.
Quote evidence
Validate spread, quote size, and stale-market risk before assuming a fill.
Trade confirmation
Compare candidate entries and exits against actual prints when the strategy depends on traded liquidity.
Aggregate bars
Use OHLC bars and open/close data for reporting, event studies, and longer holding windows.
Stale-contract prevention
Avoid survivorship-style leakage from using today's contract list in a past simulation.
Backtesting evidence chain
The evidence chain every options backtest should preserve
A backtesting workflow shows how a developer moves from a signal to an auditable simulated trade. Each step needs a data object, a timestamp policy, and a failure mode.
| Factor | Page-specific guidance | API implementation |
|---|---|---|
| Signal | The strategy should know which completed bar, event, or indicator created the trade setup. | Store underlying ticker, signal timestamp, feature window, direction, and the exact bar or event used by the model. |
| Universe | The model should choose only from contracts listed at the simulated time. | Fetch contracts with `as_of`, validate listed expirations, and reject empty DTE or side-specific pools. |
| Contract selection | Selection should explain why one OCC ticker was chosen and why alternatives were rejected. | Rank by DTE, moneyness or delta, spread, open interest, volume, and stable tie-breakers, then persist reason codes. |
| Execution | A fill assumption needs quote evidence before last sale or a pretty chain snapshot enters the model. | Pull quote windows around entry and exit, record bid, ask, midpoint, quote age, spread, and fill side. |
| Validation and artifact | The result should be repeatable enough for another developer to debug or promote into paper trading. | Export request windows, selected trades, rejected trades, daily PnL, robustness metrics, and launch-contract fields. |
Use cases
What you can build with this options data API
Earnings backtests
Combine an earnings calendar with historical contracts, expirations, quotes, trades, and aggregate bars.
Open how-to0DTE and weekly studies
Reconstruct the exact short-dated surface before testing entries, exits, and risk limits.
Open how-toExecution-quality filters
Reject contracts where spread, size, or trade activity was too weak at the modeled entry time.
Open how-toResearch audit trails
Store the request sequence that produced each candidate contract and fill assumption.
Open how-toDeveloper examples
Two code paths teams usually need first
curl "https://api.cutemarkets.com/v1/options/contracts/?underlying_ticker=SPY&as_of=2026-04-17&expiration_date=2026-05-15&limit=100" \
-H "Authorization: Bearer YOUR_API_KEY"
curl "https://api.cutemarkets.com/v1/options/quotes/O:SPY260515C00500000/?timestamp.gte=2026-04-17T13:30:00Z×tamp.lt=2026-04-17T20:00:00Z&limit=500" \
-H "Authorization: Bearer YOUR_API_KEY"curl "https://api.cutemarkets.com/v1/options/aggs/O:SPY260515C00500000/range/1/day/2026-04-01/2026-04-30/" \
-H "Authorization: Bearer YOUR_API_KEY"Evaluate and compare
Why chain snapshots alone are not enough
Focused endpoint pages match how most teams evaluate an options data API. They evaluate one workflow first, then expand into chains, contracts, quotes, trades, and expirations.
Historical options data API
Start with the parent historical workflow for contracts, quotes, trades, and aggregates.
Options contracts API
Use contract discovery first so each backtest begins from the correct listed universe.
Backtest realism checker
Run a browser-based audit for quote evidence, stale-contract risk, spread cost, and last-price dependence.
Quote vs trade timeline
See why bid, ask, midpoint, and executed prints need separate treatment in options simulations.
Options API cost calculator
Estimate request volume before scaling a historical research job.
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
Why do options backtests need historical contracts?
Historical contracts prevent stale-contract leakage. Without an `as_of` contract universe, a backtest can accidentally select contracts that were not listed or not in the same state on the test date.
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 backtests from the data objects the model actually needed
Start with contracts and expirations, then add quotes, trades, and aggregate bars so each assumption can be inspected.