Delta Tech Systems
Execution-driven quantitative trading and market making systems in crypto derivatives.
What we do
We build and operate quantitative trading and market making systems in crypto derivatives markets. The focus is execution quality, market microstructure, and scalable strategy design.
Current work spans passive market making, cross-venue pricing, and latency-aware execution across centralized and decentralized venues.
The approach is engineering-driven: custom trading infrastructure, real-time data processing, and continuous iteration against live market feedback.
Current focus
- 01Improving unit economics through better execution conditions.
- 02Strengthening strategy robustness across market regimes.
- 03Expanding across venues with distinct microstructure profiles.
Why this matters
Execution quality and fee structure materially affect whether a market making strategy is viable at all.
Live trading conditions matter more than theoretical backtests. A backtest cannot observe queue position, partial fills, cancel rejects, or how other participants react to your quotes.
The operation is early stage but live — strategies are actively developed and tested in production with real capital.
Collaboration
Open to conversations across three lanes. Each ends at a direct email — we prefer short, specific intros.
Live market making on production capital with measurable outcomes: approximately 200× turnover per unit of capital demonstrated across recent sessions. Cross-venue execution framework covering 11 venues (Binance, Bybit, OKX, KuCoin, Gate, GRVT, Hyperliquid, Aster, Bluefin, Lighter, EdgeX) × 6 tokens, systematically measured from three geographic deployment regions.
Maker-side execution throughout — 100% maker fill composition, zero taker-fallback in recent sessions.
Per-fill economics measured with venue-level granularity: markout attribution, latency budget, suppression-reason logging, and P&L decomposition into rebate income, markout dollar impact, and residual.
Clear scaling ladder with capital-gated rebate-tier progression — from Level 1 DMM entry through Senior DMM operations — with explicit capital-to-monthly-P&L projections per tier.
Python async core with sub-millisecond hot-path compute, WebSocket and REST adapters for 10+ venues, decision-cycle telemetry at 500 ms cadence. Production deployment on Railway (Singapore region).
Open to infrastructure partnerships around low-latency routing, colocation, and data-vendor integrations.
Research
Short-form measurement and commentary on crypto-derivatives microstructure. Measurement first; opinion second.
Contact
For serious inquiries, reach out directly.
- Founder's Telegram
- @ssanin82