FinTech · Quant Engineering

Algorithmic trading infrastructure, end-to-end.

From low-latency market-data ingestion to strategy DSLs, execution gateways and exchange connectivity — we engineer the full stack that runs institutional trading desks.

FinTech · Algo Trading

Engineering low-latency trading systems that execute when it matters.

Our quant engineering practice ships institutional-grade algo trading stacks — from market-data ingestion and strategy DSLs to execution gateways with deterministic risk controls.

  • High-Frequency Data Pipelines

    Sub-millisecond tick ingestion across NSE/BSE feeds with lock-free ring buffers and zero-copy serialization.

  • Indicator Automation

    Composable RSI, MACD crossovers, Bollinger and VWAP signals with backtested strategy graphs.

  • Market Cycle Analysis

    Regime-detection models that classify trending, ranging and volatile cycles in real time.

snepi-algo · live
  • $snepi-algo --strategy macd_x --symbol RELIANCE
  • >[OK] feed=NSE latency=0.42ms
  • >RSI(14)=62.1 MACD=+1.84 signal=BUY
  • >regime=TRENDING_UP vol=0.18σ
  • >executing 1 of 3 legs … filled @ 1287.45
  • >P&L Δ=+0.84% sharpe=2.31 drawdown=-0.6%
  • $_
RELIANCE · 1m▲ +0.84%

Capabilities across the trading lifecycle

Sub-millisecond Execution

Co-located gateway, kernel-bypass networking, and lock-free order books for deterministic latency.

Multi-Venue Connectivity

Adapters for NSE, BSE, MCX and global venues via FIX 4.4/5.0, ITCH and proprietary binary feeds.

Strategy DSL & Backtesting

TypeScript-typed strategy graphs with deterministic replay against years of tick data.

Pre-Trade Risk Controls

Position, exposure, fat-finger and kill-switch checks executed on every order in microseconds.

Indicator Library

Production-grade RSI, MACD, EMA, VWAP, Bollinger, ATR with vectorized GPU-accelerated paths.

Ops & Observability

Per-strategy P&L, slippage telemetry, OpenTelemetry traces and PagerDuty-grade alerting.