AI Market & Trade Analysis
Institutional-grade AI research and execution fabric covering equities, futures, options, swaps, commodities, forex and digital assets — with explainable signals, risk overlays and compliance baked in.
Capabilities
- Multi-asset market data ingestion (L1/L2/L3)
- Alt-data fusion — news, filings, satellite, on-chain
- Equity, F&O, swap & derivative analytics
- Forex & crypto cross-venue arbitrage
- Algo & smart-order routing
- Portfolio optimisation & factor models
- Real-time risk, VaR & stress testing
- RegTech surveillance & best-execution
Typical use cases
- Stock & sector outlook with LLM-grounded research
- Options chain analytics, IV surface & Greeks
- Futures basis, calendar & curve trading
- Interest-rate & credit swap pricing
- FX carry, momentum & central-bank nowcasting
- Crypto on-chain flow & DEX/CEX arbitrage
- Quant signal back-testing & live execution
- Compliance surveillance for market abuse
Measured outcomes
- Sub-millisecond signal latency
- 30%+ research productivity uplift
- Explainable, auditable AI trades
Standards & compliance
Key automations & measurable outcomes
Production-ready automation patterns we deploy for this sector — each with the operational trigger, the workflow we orchestrate and the outcome customers realise.
Earnings-driven equity signal
- Trigger
- Filing or transcript released
- Automation
- LLM parses, scores sentiment & guidance delta, cross-checks consensus, emits ranked trade idea with risk band
- Outcome
- Idea-to-desk in under 60 seconds with full citation trail
Options volatility dislocation
- Trigger
- IV surface deviates from model fit
- Automation
- Auto-constructs delta-neutral spread, runs Greeks & stress, routes to best venue
- Outcome
- Captured edge with bounded vega exposure
FX macro nowcast
- Trigger
- Central-bank speech or print
- Automation
- NLP scores hawkish/dovish shift, updates rate-path model, rebalances carry basket
- Outcome
- Positioning aligned within minutes of release
Crypto cross-venue arbitrage
- Trigger
- Price gap across CEX/DEX beyond cost
- Automation
- Pre-funded inventory triggers atomic legs with slippage & gas guardrails
- Outcome
- Risk-controlled arb capture, full on-chain audit
Market-abuse surveillance
- Trigger
- Order/trade pattern matches typology
- Automation
- Graph-link analysis across accounts, devices, IPs with case auto-creation
- Outcome
- Regulator-ready STR in hours, not weeks
Predictable delivery, phase by phase
Indicative programme tailored to this sector — adapted to scope, scale and regulatory context during discovery.
- 1
Phase 1 — Mandate & Data Audit
3–5 weeksAsset-class scope, venue inventory, alt-data sources and regulatory mapping.
- 2
Phase 2 — Research Fabric Design
6–10 weeksFeature store, signal library, LLM grounding layer and risk model blueprint.
- 3
Phase 3 — Build & Back-test
12–18 weeksSignal engineering, walk-forward back-tests, execution algos and surveillance rules.
- 4
Phase 4 — Paper & Live Pilot
8–12 weeksPaper-trade validation, then capital-controlled live pilot with daily risk review.
- 5
Phase 5 — Scale & Govern
OngoingMulti-strategy rollout, model risk management, regulator reporting and continuous research.
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