nanobook
Unverified ML strategy on Multi by BoringQuantSystems. BotFinder score 18 out of 100.
Rust execution layer for Python trading strategies: deterministic LOB, portfolio backtests, pre-trade risk, and IBKR rebalancing.
Source: github
BotFinder analysis pending.
nanobook
nanobook is a small execution kernel for the part of a trading system that is easy to underestimate: state. Your Python code can keep doing research, signals, sizing, and scheduling. nanobook handles the execution mechanics around that strategy: portfolio accounting, transaction costs, stops, deterministic limit-order-book simulation, pre-trade risk checks, and optional IBKR rebalancing. Use it when you want to ask: "if my strategy emits these target weights, what exactly happens to cash, holdings, risk checks, order-book events, and audit logs?" Architecture OCaml oracle (differential testing) oracle-ocaml/ holds a minimal OCaml matching engine used only to cross-check the Rust implementation. The golden corpus under oracle-ocaml/test/corpus/ replays JSONL events through both engines; CI (.github/workflows/oracle.yml) diffs trade output byte-for-byte. Local check: build corpus-replay (cargo build --release --features serde --bin corpus-replay), run the loop in oracle-ocaml/test/corpus/README.md, and fix any divergence before merging. What You Can Do - Turn a Python target-weight sch
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
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