Open-source quantitative decision lab for falsifiable market research.
AI-assisted quant research platform. Draft strategies in natural language, backtest locally, iterate. Self-hosted, MIT.
基于 OpenWork 深度二次开发的智能金融 AI Agent 平台 | 全球人工智能创新大赛参赛作品
面向个人研究者的可审计量化研究工作台：行情筛选、AI 选股、策略回测、AI 评审与只读 MCP 接入。
The Neural Ledger API SDK and packages
A cryptocurrency quantitative backtesting system with a React frontend and FastAPI backend.
Builds checked research instruments, recodes, coverage reports, and analysis specs from typed inputs.
Auditable seven-market public-data equity research and shadow-signal platform.
Crypto sentiment-to-market research pipeline with local FinBERT scoring, statistical validation, monitoring, FastAPI, and a Next.js dashboard.
Quantitative research portfolio of Simon Amar-Roisenberg.
Automate investment research with AI that searches sources, writes reports, scores gaps, and refines answers on a loop
Read-only prediction market research platform for Kalshi orderbook snapshots, spread-tightening analysis, passive quote markout, and execution realism.
Crypto signal research terminal — an honest end-to-end case study: why a profitable backtest died on real money, how we diagnosed the payout-structure mismatch, and the fear-regime edge that survived out-of-sample validation (158 signals, 57.6%, z=1.93).
Read-only forensic auditing pipeline that reconstructs realized, net-of-fees PnL for Polymarket crypto Up/Down wallets using public API and Polygon on-chain data, with maker/taker analysis, statistical validation, and survivorship-bias testing.
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