Evidence-backed trading analysis and execution workspace

Reduce tool sprawl and manual reconciliation while keeping every trade decision reviewable. For trading teams and analysts who need automated analysis and execution with a reviewable evidence trail, convert permitted market data, account rules and plain-English strategy notes into reviewed trade decisions, execution records and performance reports. The benefit is a testable hypothesis, measured through reviewed decisions per analyst hour and reconciliation corrections after execution; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted market data, account rules and plain-English strategy notes, then follow this sequence: 1. Automate trade decisions and data processing from permitted inputs. 2. Provide a simple interface for beginners and experienced users. 3. Track ROI, profit/loss and other performance metrics. Resolve uncertain cases with qualified reviewers, approve reviewed trade decisions, execution records and performance reports, and measure reviewed decisions per analyst hour and reconciliation corrections after execution against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed set of permitted markets and account rules; final trade authorization and compliance checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve data provenance, source attribution, calculation accuracy and usage permissions. Named reviewers approve substantive changes and execution scope. One fixed set of permitted markets and account rules; final trade authorization and compliance checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One fixed set of permitted markets and account rules; final trade authorization and compliance checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: automate trade decisions and data processing from permitted inputs; provide a simple interface for beginners and experienced users. Support the third module with operator review: track ROI, profit/loss and other performance metrics. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Authorized market data providers, broker and exchange APIs, charting tools and reporting destinations. Start with file exchange and validate destination specifications before promising direct execution. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Data and strategy intake, Editable analysis and execution preview, Client report and delivery. Use a thumbnail gallery for workspaces, a large central analysis canvas, and a right-hand panel for data sources, rules and comments. Let users compare strategy versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant chart or trade. Make the task-specific outcome reviewed trade decisions, execution records and performance reports visible beside its evidence, review state and value baseline.