Evidence earns capital.
ConvictionOS is the operating system for accountable AI options trading—turning market evidence into bounded decisions, hard risk checks, and receipts you can verify.
Paper-only by design. No return promises. No real-money execution path.
Quote freshness gate protected the paper account.
Evidence-bound decisionHow ConvictionOS works
From evidence to an auditable decision
One controlled path separates model reasoning from trading authority.
Ground the thesis
Point-in-time market evidence, volatility context, and quant signals become a structured thesis—not a free-form order.
Enforce the mandate
Deterministic gates check liquidity, quote age, exposure, buying power, structure, and lifecycle policy.
Prove the outcome
Submission, rejection, abstention, reconciliation, and exit events produce a clear decision receipt.
One platform, two perspectives
Built for individual investors and quant teams
Clear enough to understand at a glance. Deep enough to inspect every assumption.
Stay in control without living in spreadsheets.
- Plain-language decisions and abstentions
- Visible maximum loss and mandate limits
- Paper-first learning without hidden automation
Inspect the system behind every decision.
- Evidence provenance and structured theses
- Independent risk and broker reconciliation
- Strategy promotion with measurable gates
Strategy lifecycle
Conviction is earned in stages.
Research never becomes paper capital because a model sounded confident.
- 1Drafted
Thesis, universe, horizon, and risk rules are explicit.
- 2Validated
Inputs, calculations, and refusal behavior pass checks.
- 3Backtested
Evidence is evaluated without rewriting history.
- 4Published
A versioned mandate is approved for observation.
- 5Paper running
Only eligible strategies receive bounded paper capital.
Safety is the product
Paper capital.
Production discipline.
ConvictionOS treats “do nothing” as a valid decision. If market truth, account state, or model output is incomplete, execution stops.
Explore risk controlsAI is advisory
The model proposes a bounded thesis. It never owns position sizing or broker authority.
Risk is deterministic
Freshness, liquidity, exposure, mandate, and lifecycle checks are explicit and repeatable.
Broker state wins
Alpaca paper acknowledgements and reconciliation determine what actually happened.
Receipts preserve context
Decisions retain the evidence and gates needed for later review without exposing private credentials.
Evidence standards
Performance without performance theater
We separate system readiness, paper execution, and strategy evidence. A working agent is not automatically a proven edge—and the interface never pretends otherwise.
Runtime, data capability, broker connection, and refusal paths.
Orders, fills, lifecycle events, and reconciliation outcomes.
Versioned tests, costs, calibration, drawdown, and sample quality.
Ready to inspect the agent?
See every decision.
Trust every boundary.
Open the same Mission Control surface used to monitor ConvictionOS in paper mode.
Open Mission Control