DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 11,881–11,916 of 14,444 resources
AI-powered SEC filing analysis with hybrid XBRL + LLM approach
Public repository by ashmita23. Primary language: Jupyter Notebook.
AI-powered financial RAG system using Hinglish LLM
Public repository by qndydc. Primary language: Python.
Public repository by Huy-Hieuu. Primary language: HTML.
Public repository by pdavis327. Primary language: Python.
Public repository by FilipFas. Primary language: Jupyter Notebook.
CryptoMind AI Trader is a fully automated cryptocurrency trading bot powered by deep learning. Trade smarter on Binance, KuCoin, and other major exchanges with…
CryptoMind AI Trader is a fully automated cryptocurrency trading bot powered by deep learning. Trade smarter on Binance, KuCoin, and other major exchanges with…
Public repository by Udacity-AI-for-Trading-Strategies. Primary language: Jupyter Notebook.
Reinforcement Learning trading bot for NQ futures using PPO + Gymnasium
Deep RL agent for financial market signal generation — PPO/A2C/SAC/TD3, 99 indicators, ensemble signals, 4-level quality gate
Deep Reinforcement Learning Trading with CPT Actor and Truncated Quantile Critics
My first reinforcement learning trading algorithm using keras-rl and gym
This is about designing a self-learning agent tha interacts with the stock market data(or crypto/forex) and learns to buy/sell/hold based on reward signals. The…
Reinforcement Learning trading algorithms
Public repository by ADITYA-tp01. Primary language: Jupyter Notebook.
Reinforcement Learning trading environment built on gym-mtsim, re-engineered with transformers and PPO
Stock Portfolio Robo advisor is the automatic stock portfolio construction and rebalancing software created. Using listed companies' financial statements, we constructed a portfolio based…
Objective: Build a self-learning financial document AI system that ingests any financial document and converts it into a validated financial knowledge object.
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
