Optionize

Optionize builds and runs automated options trading systems.

Recording, evaluation, and automated execution for index, stock, and crypto options.

Schematic of the Optionize pipeline. A recorded session feeds a Record node, labelled market data. Record writes to an archive, which is the reference read back by a Replay node, labelled evaluation. Replay feeds an Execute node, labelled execution, which is gated by risk controls that fail closed. The drawing ends at Execute. Three extension lines run from the three nodes down into the sections below.

What we build

Market data

Recording. Option chain quotes are recorded at high resolution while the session runs. Short-dated option quote history cannot be bought back after expiry, so anything not captured at the time is gone for good. The archive is the reference every later measurement is made against.

Evaluation

Replay. Strategy logic is replayed against recorded sessions rather than against summary bars. Execution costs are modelled as part of the replay, so parameters come from what was measured rather than from what was assumed.

Execution

Automation. Strategies run automatically with defined risk on every position. Controls are deterministic: hard loss caps, fail-closed behaviour when a dependency is unavailable, and no discretionary override once a strategy is live.

Index options (SPX), stock options, and crypto options.

How we approach risk

Defined risk only

Every position has a known worst case at the time it is opened. No naked short exposure.

Cost is measured, not estimated

Execution cost is modelled from recorded quotes, because in short-dated options it usually decides whether a strategy is viable at all.

Rules, not discretion

Entry, exit, and sizing are encoded. A live strategy is not overridden by hand.

Fail closed

If market data, connectivity, or a risk check is unavailable, the system stops rather than continues.

Optionize describes capability here, not results. Nothing on this site reports the performance of any strategy.