#Stock-price-prediction
Showing 60 of 63 repositories tagged #stock-price-prediction, ranked by stars
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Use unsupervised and supervised learning to predict stocks
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Strategies to Gekko trading bot with backtests results and some useful tools.
๐ Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Portfolio optimization with deep learning.
Courses, Articles and many more which can help beginners or professionals.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.
Introducing neural networks to predict stock prices
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
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Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
A C++ stock market algorithmic trading bot
Examples of python neural net and ML stock prediction methods with sample stock data.
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
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Stock Price Prediction using CNN-LSTM
:dart: predict the price trend of individual stocks using deep learning and natural language processing
A curated list of repositories for my book Machine Learning Solutions.
Automatic trading bot (WIP)
InvestorGPT is an AI agent that analyzes the stock that dropped in its price recently and calculates chance for the company to recover the stock price back.
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
Trading Algorithm by XGBoost
Professional Backtesting Engine for crypto, stocks and forex
An iteration research agent: searches academic research, applies it to time series data, and probes it to find novel discoveries.
Top Class Stock Price Prediction Project through Machine Learning Algorithms for Google. Easy Understanding and Implementation. B.tech Final Year College Project.
Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
Implementing the concept of Human-AI Hybrid Intelligence, developing a financial asset intelligent quantitative analysis assistant with monetization capabilities. The system integrates Large Language Model reasoning with Machine Learning prediction models, monitoring cryptocurrency, Hong Kong stocks, gold, and other financial markets in real-time.
Machine Learning Project to Optimize Stock Trading Strategies Using Reinforcement Learning.
Algorithmic trading strategies using the MT5 platform and MQL5 (C++) language to program automated and profitable financial bots (Expert Advisors).
This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive in to find the datasets, code samples, and more!
Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend
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Stock Price Prediction using LSTM
Neural Networks to predict stock price
Unsupervised Learning to Market Behavior Forecasting Example
Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.
Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
A statistical computations and ML orientated Python package to predict stock price.
This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.
Stock Price Predictor
Backtest your trading strategy at a click of a button! How much alpha can you generate?
ใFrameworkใLet the neural network 'freely' learn the relationship between different stocks. An intuitive example in quantitative finance, tensorflow 1.3.0.
A Python module for market simulation
An AI Agent for stock data analysis, news rerieval, and prediction; powered by yfinance, GroqCloud, Llama and TheNewsAPI.
Implemented a LightLGM model :dizzy: capable of predicting the closing price movements for hundreds of NASDAQ listed stocks :seedling: using data from the order book & the closing auction for Optiver's Trading Competition :rocket:
Knowledgebaseโ a collection of information for quantitative finance, insurance, mathematics and AIโThis serves as a sprawling notebook of books, papers, code links and Jupyter notebooks across quantitative finance, insurance, AI/ML, coding/IT, maths, probability and applied statistics, organised in subject-tree folders rather than a software repo.
Many market analysts believe that predicting marketโs stocks fluctuations is nearly impossible to achieve due to the number of variables involved, especially since many of these variables are based on irrational factors such as human sentiment. However, I developed a model that uses a combination of sentiment analysis, clustering and feed-forward neural network in order to predict the market trends.
In this project, I have tried to predict the stock price of Microsoft using LSTM
Welcome to the Stock Market Prediction Web App repository! This project aims to provide a user-friendly web application for predicting stock market trends using machine learning models.
A paper trading platform that lets you simulate real-world market conditions to test, refine, and learn before going live.
LSTM stock prediction and backtesting