QuantClaw Data
Allows retrieval of real-time price data and market analytics for Bitcoin through the cryptocurrency module.
Provides integration with Polygon's financial data feeds for real-time streaming market data and Layer 2 quotes via WebSockets.
Enables tracking and analysis of social sentiment signals from Reddit as alternative data for market intelligence.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@QuantClaw Datashow me the latest congressional trades and social sentiment for NVDA"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
📈 QuantClaw Data — AI-Built Financial Intelligence Platform
965 production modules. 353K+ lines of Python. 179 data sources cataloged. $0/month. Built autonomously by AI agents.
🌐 Live: quantclaw.org | 📊 Dashboard: data.quantclaw.org
What is QuantClaw Data?
QuantClaw Data is the world's largest open-source financial data platform built entirely by AI agents. Every module collects, processes, and serves real financial data from free public sources — no paid API keys required.
The platform powers Alpha Picker V3, an autonomous stock-picking algorithm that matches SeekingAlpha Quant ratings with 69% accuracy and achieves a 92% win rate in backtesting.
🔢 By the Numbers
Metric | Value |
Python Data Modules | 965 |
Lines of Python (modules) | 352,949+ |
Total Python (all files) | 416,255+ |
Data Sources Cataloged | 179 (DataScout) |
MCP Server | 12,769 LOC |
CLI | 1,776 LOC |
Cached Data | 378 MB |
Monthly Cost | $0 |
Countries Covered | 40+ |
🏗️ Architecture
quantclaw-data/
├── modules/ 965 Python data modules (353K LOC)
│ ├── alpha_picker.py Stock scoring algorithm (970 lines)
│ ├── sa_quant_replica.py SA Quant reverse-engineering (1,232 lines)
│ ├── live_paper_trading.py Portfolio engine (594 lines)
│ ├── signal_fusion.py Multi-signal combiner
│ └── ...961 more modules
├── data/ 378 MB cached financial data
│ ├── signals/ Live trading signals
│ ├── datascout/ 179 cataloged data sources
│ └── live_portfolio.db Paper trading SQLite DB
├── src/app/ Next.js dashboard + roadmap UI
├── mcp_server.py MCP API server (12.8K lines)
├── run_v3_signal.py Alpha Picker live signal runner
├── run_param_sweep_v2.py Backtesting engine
├── cli.py CLI interface (1.8K lines)
├── datascout.py Continuous data source discovery agent
└── tests/ Integration & QA tests📊 Module Categories
Category | Modules | Description |
🏛️ Equity & Earnings | 27 | EPS revisions, analyst estimates, DCF, comps |
🏦 Commodities | 24 | Oil, gold, metals, agriculture, rig counts |
💵 Fixed Income | 21 | Treasury yields, corporate bonds, TIPS |
🌍 Macro & Central Bank | 16 | Fed, ECB, BIS, IMF, GDP, CPI |
🪙 Crypto & DeFi | 15 | DeFi Llama, on-chain, DEX volumes |
📊 Technical & Quant | 15 | Factor models, momentum, volatility |
💱 FX & Currency | 10 | Cross rates, carry trade, PPP |
⚔️ Geopolitical & Risk | 10 | Conflict monitors, sanctions, risk scores |
📑 Regulatory & Filing | 9 | SEC EDGAR, insider trades, 13F filings |
📡 Alternative Data | 8 | Wikipedia pageviews, sentiment, web traffic |
🚨 Signals & Alerts | 8 | Signal fusion, smart alerts, discovery |
📉 Derivatives | 7 | CBOE put/call, VIX, options flow |
🌱 ESG & Climate | 5 | Carbon markets, green bonds |
🎯 Portfolio & Risk | 5 | Optimization, rebalancing, drawdown |
💬 Sentiment & NLP | 4 | FinBERT, earnings call NLP |
🔧 Cross-domain | 781+ | Country stats, ML/AI, infrastructure, extended sources |
🎯 Alpha Picker V3 — Crown Jewel
Autonomous stock-picking engine reverse-engineering institutional quant strategies:
Metric | Value |
SA Agreement Rate | 69% (31/45 picks match) |
Win Rate | 92% on 40 backtested picks |
Annual Return | 41.5% (Triple Pyramid) |
Max Drawdown | -7.9% |
Sharpe Ratio | 5.3 |
Strategy | $5K base + adds at +10%, +20%, +35% |
Rebalance | Bi-weekly (1st & 15th) |
How It Works
Universe Filter: 7,017 stocks → 386 candidates
Multi-Factor Scoring: Value + Growth + Momentum + Quality + Earnings Revision
SA Quant Replica: Reverse-engineered scoring matching SeekingAlpha
Signal Fusion: 7+ data sources per stock
Live Signals: Automated cron on 1st & 15th at 14:00 UTC
🔌 MCP Server (Model Context Protocol)
All 965 modules exposed as AI-callable tools:
python3 mcp_server.py # Port 3055🔍 DataScout — Continuous Discovery
Discovers new free data sources across 24 rotating categories. 179 sources cataloged and growing.
🗺️ Roadmap
Phases | Status | Description |
1-100 | ✅ | Core macro, equity, fixed income, FX |
101-200 | ✅ | Country stats, derivatives, commodities |
201-300 | ✅ | Crypto, DeFi, ESG, alt data |
301-400 | ✅ | ML/AI models, NLP, factor engines |
401-500 | ✅ | Infrastructure, streaming |
501-699 | ✅ | Advanced analytics, emerging markets |
700-800 | ✅ | Free no-API-key sources (DataScout) |
800-965 | ✅ | Extended free sources, ML signals |
965+ | 🔄 | Continuous autonomous expansion |
🚀 Quick Start
git clone https://github.com/yoniassia/quantclaw-data.git
cd quantclaw-data
pip install requests beautifulsoup4 pandas numpy
npm install
# Create your .env with API keys (see Environment Variables below)
cp .env.example .env # then fill in your keys
# Run any module
python3 modules/cnn_fear_greed.py
python3 modules/fed_soma.py
# Alpha Picker signal
python3 run_v3_signal.py
# MCP server
python3 mcp_server.py
# Dashboard
npm run dev🔐 Environment Variables
API keys are encrypted with dotenvx. The encrypted .env is in the repo — contributors with the decryption key can use it directly.
For contributors with access to the decryption key:
# Set the private key (shared securely by maintainers)
export DOTENV_PRIVATE_KEY="your-key-here"
# Run any command — dotenvx auto-decrypts
npx dotenvx run -- python3 modules/cnn_fear_greed.py
npx dotenvx run -- npm run devFor new contributors (bring your own keys):
cp .env.example .env
# Fill in your own API keys — most have free tiers:
# FRED, Census, Finnhub, Etherscan, Polygon.io, USDA NASSVariable | Source | Free Tier |
| ✅ | |
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🤖 Built by AI Agents
Agent | Role |
DataClaw 📊 | Builds new modules from roadmap |
DataQAClaw 🔬 | Tests and quality-maps modules |
DataScout 🔍 | Discovers new free data sources |
Alpha Picker 🎯 | Generates trading signals |
BacktestClaw ⚡ | Validates strategies |
Built with ❤️ by AI agents. $0/month. 965 modules and counting.
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