Open Data Platform for analysts, quants and AI agents.
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TranslatedLLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
- quantitative-finance
- machine-learning
- stock-data
- platform
"Vibe-Trading: Your Personal Trading Agent"
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.
- bloomberg-terminal
- finance
- financial-markets
- investment
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
Open source software that helps you create and deploy high-frequency crypto trading bots
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
A 100% free modern JS SaaS boilerplate (React, NodeJS, Prisma). Full-featured: Auth (email, google, github, slack, MS), Email sending, Background jobs, Landing page, Payments (Stripe, Polar.sh), Shadcn UI, S3 file upload. AI-ready with tailored AGENTS.md, skills, and Claude Code plugin. One cmd deploy. Powered by Wasp full-stack framework.
- full-stack
- open-source
- saas
- nodejs
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
ValueCell is a community-driven, multi-agent platform for financial applications.
- agentic-ai
- agents
- ai
- assitant
Bindu: The identity, communication, and payments layer for AI agents.
- agent-communication
- autonomous-agents
- agent-orchestration
- a2a
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
TranslatedA-share market analysis and AI intelligent investment research agent: a desktop workbench for stock analysis, quantitative trading analysis, and post-market review — easy stock
Self-hosted AI trading terminal for Hyperliquid: chart read in, validated Freqtrade/Nautilus-Trader strategy out, deployed live.
- ai-agent
- freqtrade
- hyperliquid
- nautilus-trader
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
- algorithmic-trading
- kalshi
- polymarket
- python
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
Open tax skills for AI: 2,250 skills across 266 jurisdictions, every figure cited to the law. Works in ChatGPT, Claude, Cursor and any MCP client.
TranslatedLet any AI trade with your own Binance AI Wallet: instant buy and sell, sniping Agent-exclusive launchpads (Four, Flap, GANG), AI-exclusive Mint, and a local trading page. Binance signs; it never touches your private keys. Free and open source, MIT · Author: Jacke_pp · Contact: X @Jacke_pp (DM)
- agentic-wallet
- ai-agent
- binance
- bsc
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
This trading-gym is the first trading for agent to train with episode of short term trading itself.