DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 11,737–11,772 of 14,444 resources
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.
Implementation of Deep Q Learning and Policy Network models to maximize profit from trading
Development of a deep learning trading bot based on natural language processing using 22k financial news and 96m chart points, including offline trading simulation…
Public repository by aakula7. Primary language: Jupyter Notebook.
Public repository by marzookcyril. Primary language: Jupyter Notebook.
Public repository by Kamuyu-N. Primary language: Python.
Public repository by Jiach-dev. Primary language: Python.
Repository for deep learning concepts applied to crypto curency trading.
A deep learning model combining CNN-based time-series forecasting with mean reversion strategy for stock trading insights.
Implementing an online Deep Learning trading algorithm on the energy market that learns on-the-go with plans for future optimization using FPGAs
Project exploring the applications of machine learning in finance. Using NumPy, pandas, Matplotlib, and TensorFlow, the project analyses and visualises forex data, builds a…
Public repository by JacquesGariepy. Primary language: Python.
We use deep reinforcement learning to create a trading algorithm.
Public repository by kevinqli. Primary language: Python.
Trading Bot for Foreign Exchange using Reinforcement Learning
Reinforcement learning applied to quantitative trading
Using the Tensortrade framework for training and testing a reinforcement learning agent for cryptocurrencies
Reinforcement Learning Algorithms using pytorch
SEC 10-K raporları üzerinde çalışan Türkçe arayüzlü finansal RAG asistanı.
This repository contains Python scripts for collecting financial data from different sources, including an earnings call transcript crawler, an SEC Edgar downloader, and a…
Free MCP server for stock market & financial data — 108 tools for Claude, ChatGPT & Cursor: SEC filings, 13F holdings, insider & congressional…
