DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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Multi-agent cryptocurrency intelligence system built with Claude Code. 6 AI agents, 66 MCP tools, Agent Teams, zero orchestration code
Developer tools for AI crypto agents Build apps with DeFi trading, DEX swaps, smart contract deployment, token operations, staking, bridging, wallet
A sentiment-driven trading system leveraging FinGPT for real-time financial news and social media sentiment extraction to enhance trading outcomes
A fully autonomous Linux-native trading bot designed for Deriv Synthetic Indices (specifically Volatility 75 and Volatility 100). It uses Smart Money Concepts
Knowledge Graph Question Answering with Chinese Financial data from TuShare
Advanced portfolio optimization framework combining Random Matrix Theory noise filtering, Tyler's M-Estimator, ensemble machine learning, and dynamic factor
Hedge fund replication via machine learning
In this project we try to predict future price from historical prices with data mining and time series analysis methods. Then based on these…
Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models
A Trading Robot developed in Python, using Deep Q Learning
A deep learning model for Financial Signal Representation and Trading
Bank Marketing Dataset Marketing Introduction: The process by which companies create value for customers and build strong customer relationships in order to
Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained &
Remote MCP server for top-down portfolio construction with Interactive Brokers typed catalog of 468 IBKR screeners tagged by strategy intent
NEXUS AUTO SYSTEM is an autonomous forex and gold trading platform built on an event-driven agent architecture. It combines multi-strategy signal generation
ESG knowledge graph + RAG agent. Turn long-form sustainability disclosures into cited answers, extracted entities, and a reviewable graph of evidence
Stocky is an AI chatbot that can answer all your financial market questions. CS261 Software Engineering group project, in collaboration with Deutsche Bank
An intelligent financial advisory system showcasing 5 key Gen AI capabilities: Structured Output/JSON Mode, RAG (Retrieval Augmented Generation), Embeddings
An institutional-grade, neuro-symbolic multi-agent AI framework designed for autonomous credit risk control, financial modeling, and deterministic workflow
Multi-agent AI system that analyzes financial reports, identifies risks, and generates executive summaries using LangGraph, RAG and LLMs
An end-to-end AI dirven continuous financial auditing system using multi-agent LLMs for compliance, fraud detection, and risk assessment, leveraging public
Deployed machine learning models (Logistic Regression, Random Forest, Gradient Boost, XGBoost, SVM, Neural Network) to manages an institutional grade
LLM-powered Multi-Agent quantitative research & trading system with fallback data gateways and macro-economic risk management
A multi-platform financial chat application with AI-powered document analysis, real-time stock data, and web search capabilities
LSTM-based recurrent neural network which trains RNN on 30-day span of stock data, then accepts 30-day span to make prediction for the 31st day;…
An application of Multilayer Perceptron, Random Forest Regression and Recurrent Neural Networks (LSTM)
Saxo Bank Review Info Update 2022 otoxs July 03, 2022 Saxo bank is considered one of the most relied on names inside the world…
AI-first agentic M&A due diligence platform powered by GitHub Copilot SDK
17 Claude Code skills for commercial real estate due diligence, underwriting, financing, lease and loan review, title and survey analysis, and market research
Automated financial KPI extraction for VC due diligence
Multi-strategy AI trading agent with regime-aware risk management, confidence calibration, and quantitative portfolio construction. Built for US equities via
Apply machine learning algorithms in the financial market. Ensemble Model, including XGBoost, LightGBM, CNN, ResNet and LSTM
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
An LLM-powered automated tutoring program that will converse with you on any given branch of topics (technical or soft). Has practical uses for Quantitative
AI-powered Quantitative Investment Research Platform
Quantifying Wisdom. Your personal AI investment boardroom with master personas and professional quantitative scoring tools
