The architecture, integrations, and methodology behind every agent we build — the detail your champion needs to forward internally.
Architecture
A financial LLM agent that plans, selects the right tools, runs them against live data, and synthesizes a structured read — the ReAct loop, tuned for markets. Runs on Claude, GPT, or DeepSeek; swap models without a rebuild.
Momentum, trend, volatility, volume, patterns, support/resistance, options positioning, and regime — exposed as tools the agent composes per question rather than a fixed menu the user drives.
Adapters into market data, options flow, alt-data, prediction markets, and your internal feeds — normalized so the agent reasons over one coherent picture of the tape.
Your risk rules, setups, regime formulas, and optimization logic become first-class tools in the agent's reasoning — not prompt-stuffed afterthoughts.
Methodology
Classify the market's current state — trending, mean-reverting, high/low volatility — and let the agent condition its read on the regime it detects. Bring your own regime formulas or build on ours.
Signal logic and predictive models wired into the reasoning path, so the agent's view reflects your edge — with explicit conditions, confidence, and invalidation rather than a black-box call.
The agent reads and reasons over prediction-market data as a live, first-class signal source — a probabilistic view of events few tools incorporate at all.
Allocation and optimization routines the agent can invoke and explain — turning a single-ticker read into a portfolio-level view for institutional and educator buyers.
Data-provider integrations
We integrate the agent with your data providers and your internal feeds, then normalize everything so it reasons over one coherent view of the market. Don't see your provider? Integration is part of the build.
Talk through your stackSecurity & compliance posture
We deploy into your infrastructure where required, so sensitive data stays inside your perimeter.
Role-based access, scoped API keys, and per-seat controls for white-labeled deployments.
Traceable tool calls and outputs, so your risk and compliance teams can review what the agent did and why.
Agents produce research and analysis — no trade execution, no discretionary money management, by design.
Specific certifications and data-handling terms are scoped per engagement. Bring your requirements to the discovery call.
Book a technical walkthrough — we'll go deep on integrations, methodology, and how it would run in your environment.
BOOK A DEMOWe're putting the finishing touches on Velocis Alpha — your conversational market-analytics workspace. Check back soon.