CRNG (Contingency Random Number Generator) produces random numbers
with real financial market statistical signatures including fat tails,
volatility clustering, and kurtosis. Matches 86% of real market
metrics vs 14% for NumPy.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Lines that end with [GitHub](url) should not have a trailing period after the closing bracket.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Added periods to end of all project entries that were missing them
- Entries with [GitHub] links now properly end with period before the link
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- flashalpha: options exposure analytics API in Financial Instruments & Pricing
- jugaad-data, nsetools, bsedata, nse-insights-api: Indian market data sources in Market Data
- edinetdb: Japanese company financials in Market Data
- TradeClaw: AI trading signal platform in Trading & Backtesting
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
README.md: migrated to category-first organization with inline language tags
site/index.html: regenerated with new structure and language filtering
site/projects.csv: updated with language extraction and new schema
All 498 entries reorganized from 14 language-based sections to 18
category-based sections with inline language tags. Multi-language
projects properly tagged and filtered. Website supports language,
category, and source filtering with visual color coding by language.
### Suggested Addition
**Project:** [JIT-Optimization-Engine](https://github.com/cloudsealed/JIT-Optimization-Engine)
### Description
I am suggesting the inclusion of JIT-Optimization-Engine. It is a high-performance engine designed for mission-critical telemetry analysis in quantitative finance and FinOps.
### Why it's Awesome:
* **LLVM/JIT Acceleration:** Uses Numba to bypass the Python GIL, achieving machine-code execution speeds.
* **Benchmark Proven:** Demonstrates a **302x efficiency gain** compared to standard Python simulations in architectural audits.
* **Enterprise Ready:** Features a high-throughput connector for time-series databases (QuestDB) and automated compliance reporting.
* **Quality:** Includes a full suite of unit tests, CI/CD pipelines via GitHub Actions, and detailed architectural documentation.
The project is licensed under MIT and is actively maintained.
Adds a toolkit for option pricing, implied volatility surfaces, risk-neutral
densities, and pricing kernel surfaces with support for advanced models.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- VertData: Institutional financial intelligence platform
- Telonex: Prediction market data API
- Parsec: Prediction market API with execution
- Frostbyte: Real-time crypto price API
- System R: AI risk intelligence API
- ValueRay: Quantitative data and sentiment API
These entries were reviewed from open PRs and added to the new Commercial & Proprietary Services section.
sirjoe