AI4Finance-Foundation

bonus: AI4Finance-Foundation/FinRL-Trading: AI4Finance-Foundation/FinRL-Trading FinRL’in yeni AI-native tarafı ML + reinforcement learning + risk overlay + backtest + execution’ı modüler şekilde birleştirmeye çalışıyor AI agent / RL ile trading deneyi yapmak isteyen biri için kurcalamaya değer ama burada özellikle dikkat: modelin karmaşıklığı edge olduğu anlamına gelmiyor basit baseline’ı geçemiyorsa 15 agent kullanmanın pek anlamı yok

FinRL: the first open-source framework for financial reinforcement learning (17k stars) What it does All text below is quoted directly from the project README. >FinRL® is widely recognized as the first open-source framework for financial reinforcement learning. FinRL Ecosystem Roadmap: - FinRL-Meta: Gym-style financial market environments and benchmarks - FinRL: Original train-test-trade pipeline for financial reinforcement learning - ElegantRL: Lightweight and elegant DRL algorithms - FinRL-X: AI-native modular infrastructure for deployment-aware quantitative trading >This repository contains the original FinRL library for education, benchmarking, and research prototyping. Repository AI4Finance-Foundation/FinRL Repository stats |Metric|Value| |:-|:-| |Stars|16,887| |Forks|3.6k| |Last release|v0.3.8 (2026-03-20)| |Languages|Jupyter Notebook 80.8%, Python 19.2%| |Contributors|135| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|@claude (1 commits)| |AI co-authored commits|Claude: 1| Main contributor |Field|Value| |:-|:-| |Name|ByFinTech| |GitHub|@BruceYanghy| |Commits to this repo|794 (top contributor)| |Bio|Bruce Yang FinTech Founder and President @AI4Finance-Foundation Cr| |Company / Location|AI4Finance Foundation Inc. / New York City| |Followers|767| ────────────────────────────── 📌 If you want to browse more repos like this, we've organized them by category and rankings here: bestgithubrepositories.com 🗂️ We're also archiving repos where possible, so useful projects don't disappear when they're removed from GitHub.

Top 10 AI Trading Bots on GitHub (2026): Overview & Use Cases Ten of the most popular open-source AI trading projects on GitHub, ranked by stars, with a quick overview and what each one is actually used for. Several have appeared on GitHub Trending this year. CHAPTERS 0:00 Intro 0:23 #10 OctoBot 0:44 #9 FinRobot 1:06 #8 Vibe-Trading 1:31 #7 FinRL 1:57 #6 AI-Trader 2:21 #5 Hummingbot 2:44 #4 NautilusTrader 3:06 #3 Freqtrade 3:32 #2 ai-hedge-fund 3:54 #1 TradingAgents 4:23 How to choose THE LIST (approx. stars, Sep–Oct 2026 reports) #10 OctoBot (~5.4k): beginner-friendly crypto automation Drakkar-Software/OctoBot #9 FinRobot (~8k): LLM agents for financial analysis AI4Finance-Foundation/FinRobot #8 Vibe-Trading (~9k): personal agent, strategy building and backtesting HKUDS/Vibe-Trading #7 FinRL (~15k): reinforcement learning research and education AI4Finance-Foundation/FinRL #6 AI-Trader (~19k): agent competition and copy trading HKUDS/AI-Trader #5 Hummingbot (~20k): market making and arbitrage hummingbot/hummingbot #4 NautilusTrader (~30k): professional multi-asset algo trading nautechsystems/nautilus_trader #3 Freqtrade (~54k): crypto strategy development and live automation freqtrade/freqtrade #2 ai-hedge-fund (~64k): investor-persona agents, education and simulation only virattt/ai-hedge-fund #1 TradingAgents (~110k): multi-agent LLM stock research TauricResearch/TradingAgents IMPORTANT • Not financial advice. Several of these projects are research or educational tools and say so themselves. Trading involves risk; you can lose money. Backtest first, paper trade second, never risk money you can't afford to lose. • Star counts are approximate and change daily. Check each repo for live numbers. • Ranking is by stars, not performance. Stars are not a track record. Narration: synthetic voice "Ryan" (RyanSpeech dataset, CC BY-NC-SA 4.0) via Piper TTS. #AITrading #GitHub #AlgoTrading

😤 手动盯盘根本盯不过来，规则写死又不会应变。FinRL 1.6 万星，把强化学习用在交易上：市场环境、智能体、回测框架都搭好了，能换不同算法和数据源做对比。 AI4Finance-Foundation/FinRL

😤 金融数据接口一年好几千，个人根本用不起。FinGPT 2.1 万星，开源金融大模型：财报解读、情绪分析、研报摘要这些活都能自己跑一遍，代码和数据流程全公开，不用买贵得离谱的终端。 AI4Finance-Foundation/FinGPT

一句话安装： git clone AI4Finance-Foundation/FinRL cd FinRL pip install -e .

Top 10 Trading Repositories on GitHub (October 2026 Update) Every trading platform you can buy is competing with something free on GitHub. These are the ten open-source repositories actually worth your weekend — ranked by maintenance, documentation, honesty about performance and live-trading support, not by stars alone. Star counts, licences, release dates and last-commit dates are all live as of October 2026. ⏱️ CHAPTERS 00:00 The best trading software is free 00:47 How we ranked 17 repositories (the five-point test) 01:30 #10 FinRL — deep reinforcement learning for trading 02:17 #09 Hummingbot — market making and execution 03:01 #08 LEAN Engine — QuantConnect's institutional engine 03:43 #07 yfinance — the market data layer 04:25 #06 NautilusTrader — Rust core, Python API 05:07 #05 CCXT — one API for 100+ exchanges 05:53 #04 VeighNa (vnpy) — full platform with an ML module 06:40 #03 Qlib — Microsoft's AI quant research platform 07:25 #02 freqtrade — the retail crypto bot standard 08:15 #01 OpenBB — the biggest finance repo on GitHub 09:03 The 2026 open-source stack (how they fit together) 09:49 Rules before you clone anything 🔗 ALL TEN REPOSITORIES 1. OpenBB — 74.0k stars · Apache-2.0 — OpenBB-finance/OpenBB 2. freqtrade — 55.2k stars · GPL-3.0 — freqtrade/freqtrade 3. Qlib — 49.2k stars · MIT — microsoft/qlib 4. VeighNa (vnpy) — 45.8k stars · MIT — vnpy/vnpy 5. CCXT — 44.3k stars · MIT — ccxt/ccxt 6. NautilusTrader — 29.8k stars · LGPL-3.0 — nautechsystems/nautilus_trader 7. yfinance — 25.5k stars · Apache-2.0 — ranaroussi/yfinance 8. LEAN Engine — 21.9k stars · Apache-2.0 — QuantConnect/Lean 9. Hummingbot — 20.4k stars · Apache-2.0 — hummingbot/hummingbot 10. FinRL — 16.6k stars · MIT — AI4Finance-Foundation/FinRL ❌ WHAT DID NOT MAKE IT backtrader (23.4k stars) still has not been touched since April 2023, so it is out despite the star count. Indicator and backtesting libraries — TA-Lib, vectorbt, jesse, StockSharp — are honourable mentions rather than full systems. 🧪 HOW WE RANKED THEM 1. Is it maintained? (last commit + release cadence — this alone removed a famous library) 2. Can you run it this weekend? (install docs, Docker, a tutorial that ends in a working strategy) 3. Is it honest about performance? (fees and slippage modelled, overfitting warnings in the docs) 4. Does it trade live, or is it a research toy? 5. Is there a community behind it? (contributors, merged PRs, answered issues) ⚠️ THREE RULES BEFORE YOU CLONE 1. Backtests lie by default — fees, slippage, look-ahead bias and overfitting. Test on data your model has never seen. 2. Paper trade first. Freqtrade's own docs say dry-run for a month; that applies to every repo here. 3. Check the licence before you build a business on it. These range from MIT and Apache to GPL and LGPL. Nothing in this video is financial advice. These are educational, open-source tools and most of them can lose money quickly. Which repository are you cloning first? Tell me in the comments. #Trading #OpenSource #GitHub