Showing 1-20 of 33 projects
AI-powered quantitative investment platform for finance and trading
vn.py is an open-source quantitative trading platform development framework based on Python.
FinGPT is an open-source financial large language model that can be used for various fintech applications.
An AI-powered quantitative investment research platform for algorithmic trading and backtesting.
A Python library for crawling historical data of China stocks.
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
Akaunting is an open-source online accounting software built on Laravel for small businesses and freelancers.
Open-source metering and usage-based billing API for consumption tracking, subscription management, pricing, and revenue analytics.
Open-source wealth management software built with Angular, NestJS, Prisma, and TypeScript.
An agent framework for fintech and banks, with support for AI tools like OpenAI and LLMs.
This is a guide on blockchain-related technologies, including Bitcoin, Ethereum, and Hyperledger.
A comprehensive quantitative trading framework for algorithm trading, HFT, and fintech development.
A modular quantitative trading framework for algorithmic trading, backtesting, and financial analysis.
A high-performance open-source quantitative trading research framework for finance and investing based on C++/Python.
FISCO BCOS is a stable, efficient, and secure permissioned blockchain platform for real-world industry applications.
An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.
Apache Fineract is an open-source platform for microfinance institutions to manage lending, savings, and other financial services.
A curated list of resources for machine learning-based algorithmic trading and quantitative finance.
Metering and billing platform for AI, API, and DevOps usage, with real-time data collection and usage-based pricing.
A Python library for deep reinforcement learning in finance, with dynamic datasets and market environments.
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