DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 7,597–7,632 of 14,444 resources
LLM inference with 7x longer context. Pure C, zero dependencies. Lossless KV cache compression + single-header library
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs
The AI Trading Swarm of Ai Agents Framwork
Quant infrastructure for AI agents — a free, open-source desktop workspace for macOS and Windows where your Claude Code or Codex turns a trading…
Open-source AI agent skills + 80+ strategy templates for autonomous trading on Hyperliquid — build, deploy, and protect strategies across crypto, equities
Official Bitget Agent Hub — open-source AI toolkit connecting Claude, Cursor, Codex & ChatGPT to Bitget crypto trading (89 UTA v3 ops) and market…
Real estate investing operations platform for DataSift.ai. 21 installable Claude skills plus the 74-agent pipeline behind them: county data intake, enrichment
Machine learning based credit risk prediction system
Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance
AI-Based Stock Trading for Indian Markets This project leverages AI and advanced analytical techniques to enhance stock trading strategies for Indian stocks
A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis
Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction
This project is about beating the market and debugging a myth: LSTM + Stock Market = $$$
A hybrid model to predict the volatility of stock index with LSTM and GARCH-type input parameters
Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few
ApocData · AI-native financial database for China A-share market. Drop-in Skill / MCP for Claude,ChatGPT, Qwen, Kimi, DeepSeek agents
AI-powered financial analysis agent for Indian stock markets using AngelOne SmartAPI + Claude
A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery
The agent behind VYNN AI, a personal AI financial analyst with 5K+ users. Ask any market question; code computes every number and every claim…
Finance Budget ultimate agent to track expenses, manage budgets, and achieve your financial goals with financial api
A self-evolving multi-agent financial assistant powered by OpenClaw
Reference implementation of FINESSE: self-reflective multi-agent financial reasoning with dynamic expert routing and ethical verification
Claude Code skill: 5 AI agents analyze crypto, stocks, forex & commodities in parallel, adapt to your risk profile, and render an interactive bilingual…
Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT
Financial market data consumption skills for claude code and AI agents
Multi-Agent Financial Research workflow
A financial agent, built entirely with LangChain!
Financial engineering and risk/compliance skills for agents
Financial agent + generative UI
A hedge fund on your local machine. Terminal-native algo trading engine in Go with local LLM inference (Ollama), Bubble Tea TUI, paper/live trading, and…
Auditable multi-agent A-share factor research, knowledge base, long-only backtesting, AutoCombine and QuantCombine
Open-source 100-day Python curriculum for AI, data, quant, LLM and agent projects
Run a 110B on a 2016 PC with 16 GB RAM. Know your tok/s before you download. Placement beats budget: predicts speed + memory…
