How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
The main features of brotto/crng are: Numerical Libraries, Quantitative Research Tools.
Projects with overlapping indexed features include: jindaxiang/akshare — AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical… dppalomar/sparseeigen — Computation of Sparse Eigenvectors of a Matrix. dysonance/temporal.jl — Time series implementation for the Julia language focused on efficiency and flexibility. fumitoh/modelx — Use Python like a spreadsheet! bortlesboat/chainpulse — AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis. bhftbootcamp/timearrays.jl — Time series library for Julia.
AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical stock, currency, and economic market data. It serves as a quantitative data acquisition tool for gathering the large-scale financial datasets required for economic research and quantitative analysis. The library provides a unified interface to retrieve datasets from various official and commercial providers, removing the need to write custom scrapers for individual financial sources. It maps standardized function calls to diverse third-party sources to normalize varying respons
Computation of Sparse Eigenvectors of a Matrix
Time series implementation for the Julia language focused on efficiency and flexibility
AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis.