DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Created full-stack AI platform generating stock and financial analysis reports (LaTeX/PDF) using LLMs (DeepSeek) and real-time data pipelines, reducing
Local-first LLM Wiki template for investment research — Obsidian vault + Claude Code agents (Munger, Peter Lynch, Feynman, Reviewer, Darwin, Leopold...) that
Resources for Invest like Apo: AI investment research, LLM Wiki, Book-to-Skill, portfolio tools and QuantCorner Webull referral
EventSphere Pro is a proposed full-stack SaaS-style Event Management Platform designed as the third portfolio project for a developer building a Full-Stack +
AI-powered quantitative investment platform with 7-agent swarm orchestration, fractal debate algorithm, 3-tier LLM routing, and automated eToro trading — built
code repo for PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
[ICAIF 2024] Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management
HexaFinance is a production-grade financial simulation platform built with Clean/Hexagonal Architecture in Go and a Python (FastAPI + LangGraph) multi-agent AI
Explainable AI (XAI) based system for detecting financial fraud using machine learning, with model interpretability, analysis, and research-backed
Awesome list for LLM quantization
A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models
Personal fund/stock management platform with Hermes-Lite AI agent, investor profiles, report styles, DCA helper, Skill marketplace and Docker deployment
SamurAI Stocks is a cutting-edge stock analysis application that empowers both novice and experienced investors with comprehensive tools and insights to make
Platform Cloud Aquaculture berbasis AI untuk investor & manajer tambak — prediksi pertumbuhan ikan, optimasi pakan, dan analisis risiko mortalitas dengan
Alpha Foundry is an AI-powered stock ranking and propensity modeling platform that leverages machine learning, learning-to-rank algorithms, and predictive
AI-Based Investor-Startup Matchmaking Platform
AIphen Financial Assistant is a web application designed to bridge the gap in financial literacy for investors in India. The platform provides AI-driven
AI-Powered Startup Assessment Platform: A React-based web app helping startups evaluate and enhance their investor readiness through comprehensive AI analysis
PitchLense is a comprehensive AI-powered startup analysis platform that provides detailed risk assessment and growth potential evaluation for early-stage
AI-powered financial analysis platform that tracks SEC filings to reveal what institutional investors, activist funds, and insiders thinks about publicly
AI-powered startup pitch platform — founders pitch ideas, get instant Gemini AI feedback, and connect with investors. Built with Next.js 16, Sanity CMS
Numerous companies from financial indutry often invest considerable resources to improve their predictive models with the aim of having better insights into
This notebook aims to show that machine learning models are exposed to risks like risks of bias, and to introduce some simple techniques to…
This project focuses on leveraging advanced data analytics and machine learning techniques to develop a comprehensive credit risk assessment, credit scoring
A Machine learning project for automated loan approval prediction in banking. Built with Python, scikit-learn, and pandas. Features comprehensive EDA, 4 ML
AI-Driven, Self-Optimizing LendingProtocol leverages Machine Learning to deliver Intelligent Credit Risk Assessment, powering a Decentralized Digital Lending
A comprehensive machine learning solution for assessing credit risk in the banking sector. This project leverages advanced algorithms to evaluate and classify
Machine learning service for predicting the risk of payment delinquency of a bank customer
Predicting the ability of a borrower to pay back the loan through Machine Learning Models. Logistic regression, decision tree, XGBoost, and LightGBM models are
This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with
Machine learning project for predicting credit risk using Logistic Regression, Decision Tree, and Random Forest
Machine Learning System for Loan Assessment
An end to end Machine Learning Case Study, which focusses on building a predictive model by leveraging the dataset provide by Home Credit Group…
Accompanying code to my master thesis: "Neural Network assisted Option Pricing under Rough Volatility: An Empirical Validation"
Implied volatility is a key aspect when it comes to derivatives pricing. With the growing influence of machine learning in finance, I have investigated…
A powerful machine learning and AI system for constructing sustainable strategies for financial trading
