ArbiTech is the R&D and software engineering arm — building ultra-low-latency arbitrage algorithms, detection engines, and execution systems for crypto and traditional markets.
A senior team with 25+ years of combined experience in low-level systems, lock-free concurrency, and high-performance C++/Rust trading infrastructure built for the long haul.
Real-time order book aggregation and price discrepancy detection across all connected venues with sub-millisecond execution.
Graph-based algorithm scanning millions of three-pair circular routes per second to find profitable arbitrage loops within exchanges.
Adaptive bid-ask quoting with dynamic spread management, inventory rebalancing, and adverse-selection protection across centralized order books.
PyTorch-trained models for mean-reversion, momentum detection, and regime classification with ONNX real-time inference.
Smart contract integration bridging DEX AMM pools, lending protocols, and centralized order books with flash loan support.
Atomic multi-venue order placement with slippage protection, partial-fill handling, and rollback safety nets.
FX, equities, and commodities arbitrage modules — extending our core engine beyond crypto via broker API integrations.
Continuous strategy research, market microstructure analysis, and a prototype-to-production pipeline with backtesting engines, sim environments, and statistical validation.
Real-time order book feeds from multiple sources aggregated via co-located servers and WebSocket multiplexing utilizing the best connections selected by latency.
Proprietary algorithms scan billions of price combinations per second across pairs, triangles, and cross-venue spreads.
Each opportunity is scored for liquidity depth, slippage risk, transfer time, and net profitability — in under 5μs.
Smart order placement with clever order routing over the best connections, partial fills, and retries/rollbacks to mittigate losses.
Whether you're a senior engineer chasing latency budgets, a researcher exploring market microstructure, or a partner looking to co-operate — we'd like to hear from you.