DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
A concurrent and possibly highly parallel training environment for Reinforcement Learning Trading Bot
A trading agent that uses deep reinforcement learning to trade Ethereum.
Public repository by bibeknepal. Primary language: Jupyter Notebook.
Amazon stock prices using a Long Short-Term Memory (LSTM) neural network implemented with PyTorch. This project leverages deep learning techniques for accurate time series…
This is a research project based off of stock market forecasting. I wanted to try out different methods available for time series forecasting while…
LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.
AI-powered demand forecasting for Magento 2 — turn your sales history into per-product stock forecasts, with an optional AI layer (OpenAI, Claude, Gemini) on…
Stock Forecasting Web App with Machine Learning 📊
Stock Forecasting System using AWS forecast.
A hybrid forecasting model combining LSTM for sequence prediction and ARIMA for error correction. This repo demonstrates improved accuracy in financial trend prediction, showcasing…
stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
Intelligent stock prediction with automated risk control
📈 AI-powered stock price forecasting web application built with Streamlit and LSTM neural networks using Yahoo Finance historical data.
AI-powered NASDAQ stock prediction platform with ML models, big data processing, and interactive analytics dashboard.
Public repository by aryan-808. Primary language: TypeScript.
The most advanced open-source Indian stock market platform. Built with Flask, ML/AI, real-time data, options analytics, risk engine, and social trading.
Public repository by keerthana911-netizen. Primary language: Jupyter Notebook.
Public repository by AnthonyBarrera116. Primary language: Python.
Public repository by djxqwq. Primary language: JavaScript.
Public repository by dar2006sh8an13. Primary language: Jupyter Notebook.
Public repository by Amogha3. Primary language: Python.
Recursive Neural Networks (RNN) for stock price prediction using historical data. The system uses LSTM (Long Short-Term Memory) architecture to predict stock prices based…
Stock market prediction using scikit-learn
Full-stack AI stock prediction platform using Facebook Prophet for market trend analysis and price forecasting, with FastAPI inference, interactive React visualizations, and Dockerized deployment.
Public repository by 15tkdgns. Primary language: HTML.
Uses long term data from the top 10 momentum stocks to predict if someone should invest into them.
An AI-based stock prediction tool developed by me, using Python and publicly available historical data. The project aims to explore machine learning and data…
An intelligent stock Price prediction platform built with Python & Flask. Fetches historical/fundamental data, applies Prophet time-series forecasting & technical indicators, and delivers easy-to-understand…
Future stock price predition using a regression neural-network
Public repository by doganai. Primary language: Jupyter Notebook.
Public repository by alina01washim-aw. Primary language: Jupyter Notebook.
Public repository by micfun123. Primary language: Jupyter Notebook.
Financial earnings call transcript tone shift & guidance sentiment tracker (Finnhub)
