DDScore
ddscore.aiAI-assisted first-pass due diligence for private-company materials, producing a structured 0–100 score and written report across 12 dimensions while checking…
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DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
AI-assisted first-pass due diligence for private-company materials, producing a structured 0–100 score and written report across 12 dimensions while checking…
No-code platform for building multi-agent trading strategies, with chart-drawing agents, event-driven automations, and full execution transparency
Agent skill for querying U.S. congressional trade disclosures by ticker, member, chamber, transaction type, and date
Knowledge base and runnable experiments on AI agent engineering, quantitative finance, and LLM-based factor research
Claude Code skills and agents for investment research, with deterministic position-sizing, portfolio-risk, and walk-forward backtesting tools
Multi-asset portfolio tracker with AI insights, technical analysis, live prices, and local-first data storage
Trading environment for RL agents, backtesting and training
Open-source runtime for auditable multi-agent investment evaluation with evidence-linked actions, deterministic simulated settlement, and reproducible replay…
Trading environment(OpenAI Gym) + PPO(TensorForce)
Universal AI agent index for discovering trading agents across Virtuals Protocol, NANDA, MCP, and other registries
Agent skill for backtest validation using parameter stability, selection-bias checks, and walk-forward evaluation
Open-source financial research agent with real-time market data, local portfolios and watchlists, and no trade execution
NYU machine learning in finance notes
Benchmark designed to measure AI's investing abilities. Each model is given $10,000 of real money, in real markets, with identical prompts and input data
AI-native mortgage refinance plugin for Claude Code with real-time institutional pricing, state-specific closing costs, FHA Streamline/VA IRRRL detection, and…
State-of-the-art long-term memory for AI agents by Vectorize. Open source, self-hostable, with integrations for LangChain, CrewAI, MCP, and more. Gives…
Train and deploy a real-time financial advisor chatbot with Falcon 7B and CometLLM
REST API, MCP - Crypto market intelligence API and MCP server covering funding rates, options, arbitrage, narratives, exchange listings, and news. Public…
AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.
AI-native quantitative finance engine with genetic algorithm strategy evolution. 484 built-in factors, walk-forward validation, multi-market support (A-shares…
REST API | - AI-powered crypto forecasting and predictions API with machine learning models for price movement analysis.
The Leading Multi-Agent Platform
Explore this resource at its source website for documentation and current information.
CryptoAgent is a professional, enterprise-grade solution designed to fetch, analyze, and summarize real-time cryptocurrency data.
Experience the future of financial insights with AlphaLog. Smart, simple, and designed to help you make better investment decisions.
Explore this resource at its source website for documentation and current information.
We diagnose your business first, build the AI systems you actually need, and hand you full ownership. No lock-in. Discover starts at $2,400 with…
We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems.
How Python does AI: agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
LlamaParse is the world's best agentic OCR for processing complex documents with messy tables, charts, images, and more with human-level accuracy.
Yu, Y., et al. (2024). FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. arXiv preprint…
Holistic financial benchmark spanning 36 datasets across 24 tasks including information extraction, risk forecasting, and decision-making
by Wu et al. - 50B-parameter LLM trained on Bloomberg's proprietary financial corpus; the reference point for domain-specific financial LLMs
Join 30000 students in the algorithmic trading course that truly cares about you. Learn Practical Python for finance and trading for real world usage.
It’s time to break up with your bank, and join the movement for a better world. Browse Bankless for expert insights on crypto, DeFi,…
Research, news, and media for every corner of crypto. If it’s worth knowing, it’s on blocmates.