DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
Deep learning trading system for predicting financial time-series prices.
Real-time Deep Learning Trading Engine using LSTM & Transformers.
Project of Deep Learning: Trade VIX with Google Trend
An Exploration into Generalisable Deep Learning Trading Agents
Deep Learning Trading with Machine Learning Operations
Deep Learning Trading with MLOps
making the working deep learning trade bot which uses news to predict stocks price
Novel PyTorch Deep Learning Trading System with GPU Acceleration and Dynamic Stock Selection
Creating a Deep Learning Trading Model Prototype Step by Step
🏦 Collect quant trade strategy and deep learning trading implementation
Indonesia Stock Exchange (IHSG) Deep Learning Trading System
Memory-augmented reinforcement learning trading system built natively in MQL5 for MetaTrader 5 research and experimentation.
A reinforcement learning trading strategy using PPO on Taiwan ETF 0050.
a deep reinforcement learning trading training research with tianshou
Deep Reinforcement learning trading bot
reinforcement learning trading bot
Deep Reinforcement Learning trading strategies: Double DQN with Transformer Attention + Multi-Factor Model (Fama-French inspired). Features adaptive risk management and volatility targeting.
Full-stack quant backtesting dashboard with ML signals and AI explanations. Kotlin Spring Boot API, FastAPI inference, Vite UI.
Public repository by ChengyinLin. Primary language: Python.
Truth Social-driven quant backtest in R testing whether posting volume, sentiment, risk, and de-escalation language predict next-day returns in GLD and SPY. Finds limited…
IF1405, IF1406, Scalable Timing Strategy, high frequency trading, probit, adaboost, machine learning, quant backtest
Public repository by AllenPan-Git. Primary language: Python.
A two-stage RAG system built to solve the primary point of failure in financial document AI: handling dirty unstructured PDFs, numerical cross-references, and nested…
R-FDI: reliability-first financial document AI with OCR/VLM extraction, row-aware line-item evaluation, selective risk controls, human review, Docker/MLflow hardening, and GPU serving.
Financial-document AI pipeline: cited Q&A and structured extraction over loan agreements, invoices, and financial statements, with PII redaction and audit logging.
Financial Document AI & Invoice Audit Platform: Multi-Modal Field Extraction, 14-Rule Deterministic Accounting Engine, and Policy RAG with Precise Citations
FastAPI + RAG-based Financial Document AI System
Python based microservices for scraping earnings call transcripts and financial statements
Financial Domain-Specialized RAG LLM Using Earnings Call Transcripts
