Backtest Artifacts, Manifests, and Launch Contracts

Read this article with Options Backtesting API, Backtesting Framework, Backtesting Data Quality Checklist, Backtesting Execution Realism, Quote-Aware Options Backtests, and Backtest to Paper Trading Parity Checklist.

Abstract

A trading research result is only useful if it can be recreated. That requires artifacts: profile manifests, pack manifests, selected trades, daily PnL, summaries, diagnostics, and launch contracts for paper validation.

Developers should think of these files as the API between research and operations.

Why Artifacts Matter

An equity curve is a summary, not an audit trail. It does not show what data was loaded, which contracts were eligible, why a trade was rejected, which fill model was used, or whether the strategy can be run again tomorrow. Artifacts answer those questions.

For options research, artifacts are even more important because the trade is the output of several fragile steps: signal timing, historical contract discovery, liquidity filtering, quote-aware fills, exits, and portfolio aggregation. If any of those steps changes, the result changes. A manifest tells the next developer what was actually tested.

Manifests Name The Experiment

A manifest records what was tested: strategy family, parameters, symbols, date range, geometry, pricing mode, and output expectations. Without a manifest, a result becomes dependent on memory and shell history.

Manifests are also useful for review. They make it possible to compare two research runs without reading every code path.

The files do not have to be large. They have to be specific enough that another run can reproduce or challenge the conclusion.

Launch Contracts Freeze The Candidate

A launch contract is the paper-trading version of the research object. It should contain the selected profile, risk settings, symbol set, DTE rules, and execution controls needed by the bot.

If the launch contract cannot express the backtest, the strategy is not ready for paper. The gap should be fixed before orders are enabled.

For example, if the backtest selected calls with 1-3 DTE, max spread 12 percent of premium, and entry only after a completed bar, the launch contract should state those constraints. If the paper bot instead selects any weekly contract, allows wider spreads, or enters from provisional bars, the paper run is no longer testing the same object.

Artifacts Make No-Go Useful

No-go branches should still keep summaries and diagnostics. The next researcher needs to know whether the branch failed because of poor PnL, high PBO, low DSR, data coverage, execution rejects, or portfolio overlap.

This is how negative results become useful. A no-go branch with clean artifacts can prevent the team from rebuilding the same weak idea under a different name. It can also show which part was promising. Maybe the signal was reasonable, but the option expression was too illiquid. Maybe the model worked in one symbol but overlapped too much with an existing sleeve. Those are different lessons.

What A Review Should See

A reviewer should be able to answer these questions without rerunning the entire research stack:

• What profile was tested?
• Which data windows and endpoints were used?
• Which contracts were selected?
• Which trades were rejected and why?
• What fill policy priced entry and exit?
• Did the run pass trade count, drawdown, robustness, and overlap gates?
• What exact object would paper trading run?

If the answer is hidden in a notebook cell or a shell command, the research is not operational yet.

Example Launch Contract Fields

Takeaway

Artifacts are not administrative overhead. They are how a developer turns a backtest into a repeatable research process and eventually into a paper-trading candidate. Start with a manifest, preserve selected trades and rejects, write daily PnL, and freeze only candidates that can be expressed as launch contracts.

Related workflow

For the Backtest Artifacts, Manifests, and Launch Contracts workflow, continue through Options Backtesting API, Backtesting Framework, Backtesting Execution Realism, Backtesting Data Quality Checklist, Quote-Aware Options Backtests, and Backtest to Paper Trading Parity Checklist.

How the terminology applies

For Backtest Artifacts, Manifests, and Launch Contracts, the backtesting workflow should treat Point-in-time contracts, Quote-aware fills, Reject reasons, Replay artifact, Cache key, and Signal timestamp as operational state rather than glossary decoration. That framing keeps the research claim causal: the strategy can only select instruments, prices, and labels that existed at the decision time.

A developer implementing this Data Engineering idea should persist Look-ahead leakage, Walk-forward test, Slippage model, Same-bar fill, Promotion gate, and Options data API beside the result, instead of leaving those words in a term card. It also turns attractive performance into an auditable record where fills, skips, thresholds, and replay inputs can be challenged independently.

The review artifact for Backtest Artifacts, Manifests, and Launch Contracts becomes more useful when OPRA-originating data, OCC option symbol, Bid/ask spread, Midpoint, Quote/trade condition, and Quote vs trade semantics appear in the same body of evidence as the selected rows. When a result is promoted, these fields should appear in the run manifest, rather than a prose summary or final equity curve.

In production notes for this backtesting workflow, REST snapshot, WebSocket stream, Entitlement gate, Quote freshness, Timestamp semantics, and Pagination cursor define the checks that decide whether the workflow is reproducible. The result is a backtest that can be rerun, compared across threshold families, and rejected when the evidence is not strong enough.

For Backtest Artifacts, Manifests, and Launch Contracts, the practical acceptance test is simple: another developer should be able to read the body, identify the exact inputs, reproduce the request sequence, and explain the accepted and rejected rows without relying on the bottom terminology grid. If a phrase appears in the page vocabulary, it should correspond to a stored field, a validation check, a replay step, or an implementation decision in the backtesting workflow.

This is also the reason the article should not measure success only by the final chart, table, or headline metric. The better standard is whether the data path, timing model, entitlement state, and evidence trail survive review. When those pieces are written directly into the body, the terminology becomes part of the workflow readers can implement.

Launch contracts should name the market data

A launch contract should define the market-data schema that paper trading will inherit. Include symbol universe, contract symbology, selected OCC option symbol, DTE bucket, quote-aware fill policy, slippage model, reject taxonomy, and entitlement assumptions. If the backtest used NBBO quotes, the launch contract should say which quote fields matter: bid, ask, sizes, quote condition, SIP timestamp, and freshness.

The manifest should also capture infrastructure state. Store endpoint family, dataset, response envelope, pagination cursor, cache key, backfill window, rate-limit budget, and schema version. Those fields make parity review possible when paper behavior drifts from the promoted run. Without them, a launch contract becomes a promise rather than a reproducible handoff.