- TradingAgents+2,9282.49%
- Vibe-Trading+6461.75%
- Freqtrade+3470.62%
- Daily Stock Analysis+3410.51%
- QuantDinger+2902.19%
- NautilusTrader+2340.76%
- Qlib+2130.43%
- Claude Trading Skills+2116.23%
- Hummingbot+1770.85%
- yfinance+1770.69%
- AI Hedge Fund+1660.26%
- FinRL+1380.82%
- TradingAgents-CN+1280.39%
- RD-Agent+1130.75%
- CCXT+1050.24%
- vectorbt+1041.09%
- AI-Trader+1020.44%
- QuantConnect LEAN+970.44%
- Machine Learning for Trading+930.43%
- Backtrader+610.26%
Track the AI stack changing investing.
InvestingStack tracks the agents, tools, models, data and research shaping AI-driven investing. Live GitHub metrics, a curated directory and analysis of how the agentic systems actually work.
- projects tracked
- 78
- GitHub stars tracked
- 1.0M
- updated
- Nov 4
| # | Project | 30d | Stars | 7d |
|---|---|---|---|---|
| 01 | TradingAgents 120.5k+2,928 | 120.5k | +2,928 | |
| 02 | Daily Stock Analysis 67.5k+341 | 67.5k | +341 | |
| 03 | AI Hedge Fund 64.5k+166 | 64.5k | +166 | |
| 04 | Vibe-Trading 37.6k+646 | 37.6k | +646 | |
| 05 | TradingAgents-CN 32.8k+128 | 32.8k | +128 |
Trending in AI investing
The projects that gained the most GitHub stars in the last 7 days.
Multi-agent LLM trading framework modelled on a trading-firm org chart
HKU's open-source multi-agent research workspace: natural-language research, backtests, skills and MCP tools
The most popular open-source crypto trading bot, with FreqAI for ML-driven strategies
LLM-driven watchlist analysis for A-share, HK, US, Japan, Korea and Taiwan stocks, pushed daily
Explore the AI investing stack
78 curated projects across six layers, each with live GitHub metrics where the code is open.
Agents
Autonomous and semi-autonomous investing agents.
Models
Financial LLMs and general-purpose models used for investing.
Tools
Research, backtesting, portfolio and trading infrastructure.
Data
Market data, filings, alternative data and MCP servers built for AI.
Brokers
Platforms and APIs connecting AI systems to markets.
Research
Papers, benchmarks, curricula and curated lists.
AI Investing Agent Leaderboard
Open-source agents ranked by objective GitHub metrics. Stars, 7-day and 30-day gains, momentum.
- 01TradingAgents
US equities
- Total stars
- 120.5k
- Stars gained · 7d
- +2,928
- Stars gained · 30d
- —
- Momentum · 30d
- —
- 02Daily Stock Analysis
China A-shares · Hong Kong · US equities · Japan · Korea · Taiwan
- Total stars
- 67.5k
- Stars gained · 7d
- +341
- Stars gained · 30d
- —
- Momentum · 30d
- —
- 03AI Hedge Fund
US equities
- Total stars
- 64.5k
- Stars gained · 7d
- +166
- Stars gained · 30d
- —
- Momentum · 30d
- —
- 04Vibe-Trading
China A-shares · Hong Kong · US equities · Crypto · Futures · FX
- Total stars
- 37.6k
- Stars gained · 7d
- +646
- Stars gained · 30d
- —
- Momentum · 30d
- —
- 05TradingAgents-CN
China A-shares · Hong Kong · US equities
- Total stars
- 32.8k
- Stars gained · 7d
- +128
- Stars gained · 30d
- —
- Momentum · 30d
- —
- 06AI-Trader
US equities · Crypto · Prediction markets
- Total stars
- 23.1k
- Stars gained · 7d
- +102
- Stars gained · 30d
- —
- Momentum · 30d
- —
| # | Project | TrendTrend · 30d | ||||
|---|---|---|---|---|---|---|
| 01 | TradingAgents US equities | 120.5k | +2,928 | — | — | |
| 02 | Daily Stock Analysis China A-shares · Hong Kong · US equities · Japan · Korea · Taiwan | 67.5k | +341 | — | — | |
| 03 | AI Hedge Fund US equities | 64.5k | +166 | — | — | |
| 04 | Vibe-Trading China A-shares · Hong Kong · US equities · Crypto · Futures · FX | 37.6k | +646 | — | — | |
| 05 | TradingAgents-CN China A-shares · Hong Kong · US equities | 32.8k | +128 | — | — | |
| 06 | AI-Trader US equities · Crypto · Prediction markets | 23.1k | +102 | — | — |
How the agentic systems actually work.
Audits of real repositories and analysis of the methodologies behind them. Every claim links to the code or paper it comes from.
Who approves an AI trade? What broker MCP connections actually allow
Read-only access, paper trading and order approval are different controls. We examine Alpaca, Interactive Brokers and SnapTrade, then provide a worksheet for reviewing an agent’s authority.
Beyond market data: what an AI investing agent needs to know about you
Research, portfolio access and order approval solve different problems. A comparison of the tools that carry an investor’s holdings, rules and decision history—and where Investboard fits.
From TradingAgents analysis to a reviewable investment decision
What investor context changes in the research workflow, what the connector records, and how to test it without confusing a mandate check with an order block.
GitHub Radar
Tracking open-source momentum across AI investing.
Fastest growing this week
Stars gained, last 7 days- 01TradingAgents+2,928
- 02Vibe-Trading+646
- 03Freqtrade+347
- 04Daily Stock Analysis+341
- 05QuantDinger+290
- Projects tracked
- 78
- Releases in the last 30 days
- 21
- Repos pushed in the last 7 days
- 36
- GitHub stars tracked
- 1.0M
Latest Intelligence
Agentic systems, designed around your strategy.
Most agent frameworks are built for a demo. A session works through your strategy and current setup and maps it to an architecture: agent roles, data, models, guardrails and an implementation plan you can execute.
Not investment advice. Consulting clients get no placement or ranking influence on this site. Disclosures
- Introduction30 minWhat agentic systems can and cannot do for your investing or trading.€100
- Strategy session90 minAn agent setup designed around your strategy, with a plan you can execute.€250
Sessions are held online and run by David Bartas directly. Prices in EUR.
About InvestingStack
InvestingStack is an independent research site tracking how artificial intelligence is changing investing.
We follow open-source projects with objective GitHub metrics, audit what the tools actually do, analyse the methodologies and architectures behind agentic investing systems and map the infrastructure being built around them. We do not sell signals, manage money or take payment for placement.