Trader Decision Intelligence
Make judgment visible.
Context, conflicting evidence, uncertainty and the decision to stop or ask a person.
Market judgment. Reviewable systems.
Build financial AI with market judgment built in.
Expert-led engagements · Research workspace preview
CatalystDesk connects Sean Wu's two decades of U.S. equities experience with trader decision intelligence, institutional execution workflows and LLM agent development. We help product teams and independent builders turn complex market problems into clearer requirements, realistic evaluations and software they can test and extend.
Illustrative financial AI design questions
From market context to a reviewable decision
01 / Context
What changed?
Evidence
Market conditions
Operating constraints
02 / JudgmentWhat would change
What would change
the decision?
03 / ReviewCan the next step
Can the next step
be justified?
Proceed within scope.
Wait for evidence.
Hand control to a person.
Illustrative design questions · A method for building and evaluating a workflow, not a trading recommendation.
Built for people building financial AI
- Financial AI companies
- Agent developers
- Research teams
- Data providers
- Brokers & execution technology
- Independent builders
- Trading teams
The combination
Domain judgment, made useful to builders.
Bring the decisions, exceptions and practical constraints into the product before they become surprises.
Institutional Execution Workflows
Design for the exceptions.
Order lifecycles, partial fills, pending cancellations, reconciliation and human control.
LLM Agent Development & Evaluation
Test the behavior that matters.
Structured context, tools and evaluation scenarios with explicit acceptance criteria.
Product & Systems Design
Give the next release a boundary.
Turn a research idea into a scoped application your team can test and extend.
Two ways to begin
Explore a product. Or shape your own.
Product experience
See the research workflow.
Explore public context and the workspace preview. Follow the access and environment labels for analysis, simulation and testnet capabilities.
- Discover
- Try
- Use Credits
- Return
Expert services
Move your next product decision forward.
Define a financial AI product, evaluate its reasoning, specify an execution workflow or build a bounded prototype.
- Brief
- Scope
- Deliver
- Extend
Four scoped engagements
Choose the problem to solve first.
Clear outputs, defined review points and an agreed boundary for every project.
011–4 weeks
Financial AI Product Blueprint
Define what to build, who it serves and how the first release will be judged.
Core deliverables
- Product brief defining the intended users and first-release outcome.
- Workflow maps and data, tool, human-decision and integration requirements.
- Prioritized development backlog and acceptance criteria.
From $3,000 USD
Explore scope022–6 weeks
Trader Decision Intelligence & Agent Evaluation
Make market reasoning explicit and test how an agent handles uncertainty.
Core deliverables
- Structured decision framework, including uncertainty, conflicting evidence and human escalation.
- Scenario pack with inputs, expected behavior, scoring criteria and failure categories.
- Traceable scored results and prioritized improvements.
From $5,000 USD
Explore scope032–6 weeks
Execution Workflow & Integration Design
Turn institutional operating requirements into specifications engineers can implement.
Core deliverables
- Order lifecycle and responsibility maps.
- Interface requirements, data contracts and dependency gaps.
- Exception handling, monitoring and human-intervention requirements.
From $6,000 USD
Explore scope043–10 weeks
LLM Agent Prototype & Product Development
Build one bounded application and collect evidence for the next product decision.
Core deliverables
- A demonstrable working prototype in the agreed environment.
- Evaluation results, known limitations and a prioritized development backlog.
- Client-specific implementation files, setup instructions and a handover session, with any reusable component licenses listed in the statement of work.
From $10,000 USD
Explore scopeIndicative fees in USD for the defined scope. Final scope, timing and commercial terms are confirmed in a statement of work. Estimated delivery periods begin after scope, usable inputs, authorized access and the kickoff payment are ready.
Why CatalystDesk
Experience with the moments a demo can miss.
2006Sean Wu begins working in U.S. equities.
2022The CatalystDesk project begins.
A financial agent may summarize a market event and still miss what changes the decision. An execution workflow may look complete until an order partially fills, a cancellation remains pending or a person needs to take control. CatalystDesk brings experience from these situations into the design and evaluation of financial AI.
Sean Wu began working in U.S. equities in 2006. His experience across trading decisions, professional execution environments and systems design informs CatalystDesk’s work with AI builders today.
Meet the perspective behind the workLong-term product direction
Building toward an
AI-native Market Microstructure Intelligence & Institutional Execution OS.
Expert-led engagements help identify recurring needs; reusable decision knowledge, evaluation tools and workflow software are the longer-term product direction.
- 01Understand a real need
- 02Deliver something verifiable
- 03Identify shared problems
- 04Develop reusable products
Future direction, not a claim that a complete institutional execution platform is available today. Client data, strategies, code and identifiable results are not reused or used for model training without written permission.
Start with the difficult part
What does your financial AI need to get right?
Bring a non-confidential brief. We will explore fit, then define a bounded engagement together.
Request a Scoped Proposal
Complimentary 30-minute fit discussion.
No wallet or trading account required.
Public research
Follow the market context.
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