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Quantitative risk and performance analysis package for financial time series powered by the Julia language.
Fast, Transparent Backtesting
Rust crate of validated, decimal-precise trading building blocks: price types, L2 order book, tick-to-OHLCV aggregation, hundreds of streaming indicators, position ledger, risk rules, Black-Scholes Greeks and a walk-forward backtester. On crates.io.
C++20 research implementation of special-relativistic geometry on OHLCV market data: Lorentz factors, spacetime-interval regime labels, Christoffel symbols and geodesic-deviation signals, with SIMD kernels, Python validation scripts and a LaTeX paper.
A Python package for PME (Public Market Equivalent) calculation
Financial Market Building Blocks
Rust streaming primitives for real-time market data: exchange tick normalization (Binance, Coinbase, Alpaca, Polygon), WebSocket reconnect, lock-free SPSC ring buffer, OHLCV bars, order books, feed health and microstructure analytics (OFI, VPIN). On crates.io.
63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no signup.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Python package for Swiss financial data
Cent-accurate mortgage amortization schedules for Python — validated against CFPB, Fannie Mae, textbooks, and real-world published examples.
Tracker for U.S. public-company equity stakes in Anthropic and OpenAI. Built from primary SEC filings, court records, and press releases. Each row confidence-tagged (V/P/S).
Corporate credit data for AI agents — Python SDK, LangChain tools, and MCP server
Free AI Stock Reports Delivered Daily — Wall Street-grade analysis for US, China & HK stocks. 100% free.
VEROQ Python SDK — verified intelligence for AI agents. The truth protocol for agentic AI.