#finance

Physical climate risk calculation engine

Modern plain text accounting. Beancount compatible.

Adyen Platform Experience components

Опис репозиторію не опубліковано.

Transparent and Efficient Financial Analysis

AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架

ARCH models in Python

Algorithmic Trading in Python with Machine Learning

Event-driven backtesting for quantitative strategies with configurable execution, accounting, risk, and framework-parity validation.

Prediction Market Platform: Easy to Deploy, Open Source MIT Licensed

Extract data from a wide range of Internet sources into a pandas DataFrame.

A React (React.js) library of Lightweight-charts components written in Typescript

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀

Calendars for various securities exchanges.

📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）

Precision-first financial mathematics for Ruby

FMP Data: A Modern Python Client for Financial Modeling Prep API

AI-native CLI for the Longbridge trading platform with real-time market data, portfolio, and trading...

Serializable, runtime-neutral contracts for market data, artifacts, strategy lifecycles, and execution across ML4T libraries.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Parse bank statements — CAMT/ISO 20022, PAIN.001, CSV (EN/DE/FR/ES), OFX/QFX, MT940, PDFs (digital + scanned) — into unified Transactions. Deterministic parsers, LLM/vision fallback, Golden Rule + multi-currency + continuity verification, page provenance, dedupe, review, accuracy evals, CLI + REST API. 100% test coverage.

A local, agent-friendly command-line tool for Monarch Money. Written in Go.

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

AI-powered financial analysis agent: real-time market data, multi-analyst workflows, and portfolio tools in your terminal.

ValueCell is a community-driven, multi-agent platform for financial applications.

Simplified Investment & Trading Toolkit with Python & C++

Complete, dependency-free Go client for the YNAB API — 44 operations, exact integer money, first-class delta sync, contract-tested. Unofficial.

OptionStratLib is a comprehensive Rust library for options trading and strategy development across multiple asset classes.

A high-performance, thread-safe limit order book implementation written in Rust. This project provides a comprehensive order matching engine designed for low-latency trading systems, with a focus on concurrent access patterns and lock-free data structures.