awesome-ai-in-finance

AI-powered 13F SEC filing tracker. Monitor hedge fund and institutional investor portfolio changes, with smart money move alerts and historical holding comparisons.

Market sentiment API for AI finance agents covering stocks across Reddit, X/Twitter, news, and Polymarket prediction markets with buzz, sentiment, trending, and comparison signals.

AI economy tracking platform. Market cap, funding rounds, AI Bubble Index, company valuations, and compute supply chain data.

AI-powered crypto forecasting and predictions API with machine learning models for 70+ cryptocurrency pairs.

Free cryptocurrency market data API with prices, volume, market cap, and OHLCV for 7,000+ coins. No API key required. Includes MCP server for AI agent integration.

Python SDK for cryptocurrency portfolio tracking with real-time prices, P/L calculations, backtesting, and price alerts. Free tier: 25 req/hr.

A quant trading system base on python.

Python backtesting library for trading strategies.

High-frequency crypto currency trading bot developed by Zenbot.

An algorithmic trading library for Crypto-Assets in python.

Tests bt and Quantopian Zipline as backtesting frameworks for coin trading strategy.

AI-native quantitative trading engine with 484 alpha factors, genetic algorithm strategy evolution, walk-forward backtesting and paper trading. Supports A-shares, crypto, and MCP server for AI agent integration.

Explore the use of AI to make trading decisions.

Use ChatGPT to determine which cryptocurrency to trade based on technical indicators.

GPT-4 can outperform professional financial analysts in predicting future earnings changes, generating useful narrative insights, and resulting in superior trading strategies with higher Sharpe ratios and alphas, thereby suggesting a potential central role for LLMs in financial decision-making.

Provides a playground for all people interested in LLMs and NLP in Finance.

Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation.

The common-stock prices can be regarded as an ensemble of decisions in statistical equilibrium.

Propose an ensemble strategy that employs deep reinforcement schemes to learn a stock trading strategy by maximizing investment return.

The power laws in the distributions of event sizes under a broad range of conditions in a large variety of systems.

Deep reinforcement learning provides a framework toward end-to-end training of such trading agent.

Experiments based on "Advances in financial machine learning" book.

Using advanced ML solutions to overcome real-world investment problems.

Learn Fintech Online.

Book about how to build financial software hands-on using generative AI tools like ChatGPT and Copilot.

A book about creating profitable, regulation-compliant financial applications.

A book about maximizing your portfolio, analyzing markets, and making data-driven investment decisions using Python and generative AI

Decentralized crowdfunding platform for AI agents with milestone-based escrow on Base blockchain.

Self-improving AI trading system with 25 agents, Karpathy-style autoresearch, Darwinian selection, autonomous agent spawning, and multi-cohort meta-weighting.

An Open-Source AI Agent Platform for Financial Analysis using LLMs.

AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.

A multi-exchange Al trading platform with multi-Ai competition self-evolution, and real-time dashboard.

AI-native one-person hedge fund platform. Expert agent teams turn natural language into quant strategies in 60s. Multi-market (US/HK/CN/Crypto), self-evolving strategy pipeline with community leaderboard.

B2A marketplace for AI agents. 189 listings, 28M+ real energy data records, LangChain/MCP integration.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance).

Quant / Algorithm trading resources with an emphasis on Machine Learning.

Explore a curated list of Fintech popular & new libraries, top authors, trending project kits, discussions, tutorials & learning resources on kandi.

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

A curated list of practical financial machine learning (FinML) tools and applications. This collection is primarily in Python.

Performance analysis of predictive (alpha) stock factors.

AI-powered Bitcoin network intelligence CLI for natural language queries on mempool, fees, blocks, and mining analysis.

Visual chart pattern search engine. Upload a screenshot or type a ticker+date to find the 10 most similar historical chart patterns and see what happened next. 24M+ embeddings, 19K symbols, REST API + MCP server.

Real-time RSI signals, price action & volume spikes dashboard for crypto traders. Free, no sign-up required.

AI-powered tool that ingests U.S. STOCK Act congressional trade disclosures and converts them into machine-scored signals for retail investors.

Contingency RNG, generates random numbers with real market fat tails (K=5-220) and volatility clustering. Matches 86% of real market metrics vs 14% for NumPy. Includes regime detector.