Rust engineering
Rust arbitrage bot development: the language of the fast path
When two bots see the same opportunity, the one that turns a pool update into a signed transaction first wins. That contest is decided in microseconds, and it is why every arbitrage bot we build is written in Rust: predictable latency, no garbage collector, and the same language as the Solana runtime.
- Hot path
- Update to signed transaction in microseconds
- Runtime
- tokio, solana-client, anchor-client
- Delivery
- Tested modules, docs, Docker templates
Why JavaScript and Python bots lose
Most open-source arbitrage bots are written in TypeScript or Python because the SDKs are convenient. They work, until they compete. A garbage-collection pause of a few milliseconds, a JSON round trip to an RPC node, or an async scheduler that serves your hot path last is enough to lose a race that is decided in less than a slot.
A Rust arbitrage bot avoids those costs by design. Memory is managed at compile time, pool state lives in typed structs rather than parsed JSON, and the scheduler is under your control. The difference is not elegance; it is whether your transaction is the one the leader includes.
Architecture of the bots we build
The engine is split into modules with clear boundaries so that each can be tested, replaced and audited by your own team.
- Feed: Yellowstone Geyser gRPC subscriptions decoded straight into typed account structs.
- Pool graph: in-memory reserves and fee parameters for Raydium AMM and CLMM, Orca Whirlpools, Meteora DLMM, Phoenix and Pump AMM.
- Route solver: two-leg and triangular search with a configurable depth and slippage model.
- Simulator: every route is re-priced against the latest slot before signing.
- Executor: Jito bundle assembly, tip bidding, priority-fee fallback and multi-region submission.
- Risk guards: per-trade caps, daily loss limits, blacklists, compute-unit ceilings and a kill switch.
- Ops: PostgreSQL trade ledger, Prometheus metrics, Grafana dashboards, alerting and a pure-Rust CLI for backtesting and dry runs.
Testing, dry runs and observability
A fast bot that cannot be understood is a liability. Every module ships with unit tests, the route solver has property tests against recorded pool states, and the whole engine can run in dry-run mode: it consumes live data, finds and simulates routes, and logs what it would have submitted without touching a wallet. That is how we validate a build before any capital is at risk.
In production, dashboards show opportunities seen, routes simulated, bundles submitted, landed and dropped, tips paid and realised profit per strategy. When something changes on a venue, you see it in the metrics before it shows up in your balance.
Working with your team
Some clients have Rust engineers and want a foundation they can extend; others have none and want a system they can operate from configuration and dashboards. We deliver for both: readable code, documented configuration, deployment templates for bare metal or cloud, and 30 days of support after handover so your team runs it with confidence.
There is no licence server, no phone-home telemetry and no obfuscation. The repository, the documentation and the operational knowledge are yours.
FAQ
Rust arbitrage bot: questions we are asked
Related services
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Spread capture between Binance, Bybit, OKX and Solana pools with inventory and hedge management.
Ready to build? Tell us about your strategy.
Tell us about your edge, capital range and infrastructure. We reply with a scoping call, a live demo of bots we have built, and a fixed-scope quotation.
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