OmniQuant
Unverified ML strategy on Multi by pushkarkumarvats. BotFinder score 18 out of 100.
Unified Quantitative Research & Trading Framework - Copyright protected
Source: github
BotFinder analysis pending.
OmniQuant
OmniQuant Quantitative trading research & simulation platform — a hybrid Python / Rust / TypeScript system for strategy research, alpha generation, backtesting, and execution simulation. The platform includes a native Rust Order Management System with a BTreeMap limit-order book, ITCH 5.0 parser, and append-only event journal, bridged to a Python ML/alpha layer and a Next.js monitoring dashboard. Disclaimer: This is a research and simulation platform. Do not deploy against live markets without independent validation, additional hardening, and proper regulatory compliance. --- Architecture Overview --- What's Implemented vs. Planned The table below distinguishes working functionality from items that are planned / API-only. | Component | Status | Notes | |---|---|---| | Rust OMS — BTreeMap LOB, matching, BBO | ✅ Working | native/oms-core | | Rust OMS — ITCH 5.0 parser | ✅ Working | 20 message types | | Rust OMS — Append-only event journal | ✅ Working | WAL + snapshots | | Rust OMS — FPGA risk gate | ⚠️ Software reference | PCIe DMA integration planned | | Rust OMS — DPDK / iouring | 🔲
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Verification ledger
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)