Institutional Quant Infrastructure for Systematic Trading
Every mandate is architected directly by Milind Paradkar. No account managers. No assembly-line handoffs. Decisions are made around the realities of live trading infrastructure.
Production experience across Binance, IBKR, IG, Polymarket and related venues — including websocket feeds, order routing, data integrity, execution edge cases and live system failure modes.
AI-assisted engineering is used selectively to accelerate research, testing and documentation — while architecture, risk logic and deployment decisions remain founder-controlled.
Systems are built for live capital deployment: modular services, monitoring, alerts, fail-safes, state management, restart logic and cloud-ready operations.
Walk-forward validation, realistic slippage, commissions, funding costs, no-lookahead testing and paper-trading gates before live capital is exposed.
Preferred engagements are long-horizon technical mandates involving continued optimisation, monitoring, feature expansion and infrastructure hardening.
To preserve engineering quality and direct founder involvement, ToCan Analytics accepts a limited number of active quantitative trading infrastructure mandates at a time. Preference is given to teams with serious deployment intent, clear capital context and long-term infrastructure requirements.
Engagements are evaluated based on strategy maturity, infrastructure complexity, deployment scale and long-term technical fit.