Which integrations are available for this server?

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.

How do I use QuantClaw Data?

This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.

📈 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 dev

For 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 NASS

Variable	Source	Free Tier
`FRED_API_KEY`	fred.stlouisfed.org	✅
`CENSUS_API_KEY`	census.gov	✅
`FINNHUB_API_KEY`	finnhub.io	✅
`FD_API_KEY`	financialdatasets.ai	✅
`ETHERSCAN_API_KEY`	etherscan.io	✅
`POLYGONIO_API_KEY`	polygon.io	✅
`USDA_NASS_API_KEY`	quickstats.nass.usda.gov	✅

🤖 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.

QuantClaw Data