Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.
☆49Nov 30, 2017Updated 8 years ago
Alternatives and similar repositories for Stock-Price-Prediction-Model
Users that are interested in Stock-Price-Prediction-Model are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Jan 3, 2018Updated 8 years ago
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆16Jul 28, 2022Updated 3 years ago
- Stock analysis and prediction - fundamental, quantitative, technical analysis and machine learning.☆13May 1, 2023Updated 3 years ago
- LSTM stock prediction and backtesting☆14Jan 11, 2020Updated 6 years ago
- Web app - FX Trading Simulation and Historic Data Visualisation☆10Jun 29, 2016Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- LSTM RNN for sentiment-based stock prediction☆66Dec 8, 2017Updated 8 years ago
- This repository contains an automated trading system using machine learning for stock return prediction, position sizing and generating e…☆14Jun 15, 2019Updated 6 years ago
- It is a live KLSE index and components tracking dashboard!☆15Nov 29, 2018Updated 7 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆97Aug 12, 2024Updated last year
- Using Keras to train an convol-autoencoder that reads FX OHLC charts☆13May 9, 2017Updated 9 years ago
- Stock Predictions through NYTimes article headlines sentiment analysis.☆82Jul 12, 2018Updated 7 years ago
- Predicting stock market prices using RNN with LSTM☆12Oct 28, 2019Updated 6 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆50Apr 12, 2019Updated 7 years ago
- In this project, I have tried to predict the stock price of Microsoft using LSTM☆16Feb 11, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Quick experimentation of Bollinger Bands trading strategy over Bitstamp BTCUSD using Pandas and Matplotlib 🐍☆21Jul 14, 2018Updated 7 years ago
- 3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner…☆23Jun 22, 2018Updated 7 years ago
- [Testing on dummy ac] Using Oanda API for current forex data and order creation. Fetched data used for machine learning model training (S…☆27Nov 12, 2018Updated 7 years ago
- Portfolio level (un)conditional risk measure estimation for backtesting using Vine Copula and ARMA-GARCH models.☆24Jan 22, 2024Updated 2 years ago
- ☆11Oct 24, 2025Updated 7 months ago
- 📈 如何用深度强化学习自动炒股☆13Mar 31, 2020Updated 6 years ago
- ☆28May 3, 2022Updated 4 years ago
- ☆12Sep 11, 2023Updated 2 years ago
- Predication of stock market price using different machine learning models☆12May 23, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Building a High Frequency Trading Engine with Neural Networks☆12Apr 2, 2018Updated 8 years ago
- Predicting the stock market with sentiment analysis and LSTM techniques☆84Jun 18, 2020Updated 5 years ago
- BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture,…☆71Sep 26, 2018Updated 7 years ago
- 💸 A long-short equity quantitative trading strategy (sentiment-based)☆38Nov 28, 2017Updated 8 years ago
- Scanner that finds patterns in stocks/options/futures and discerns future risk/reward. Ie, money ball engine.☆24Aug 6, 2021Updated 4 years ago
- Predicting stocks with ML.☆44Jun 24, 2018Updated 7 years ago
- Time-Series Momentum Strategies☆12Jul 20, 2018Updated 7 years ago
- Personal Knowledge Base: Java, DevOps & System Design☆16May 7, 2025Updated last year
- Predict links in a citation network☆12Mar 20, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆14Mar 6, 2019Updated 7 years ago
- This script loads desired stock price training data, trains an XGBoost Regressor for Time Series Forecasting (allowing fine-tuning) and d…☆13Jul 6, 2022Updated 3 years ago
- Deep Trading using Convolutional Neural Network☆29Sep 25, 2017Updated 8 years ago
- ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING☆14Oct 23, 2018Updated 7 years ago
- Supported files and code examples for my futures.io webinars series☆69Nov 10, 2019Updated 6 years ago
- Allows the generation of optimal portfolios with CoIn, Gumbel, and no copula constraint for the stochastic interest rate - constant elast…☆15Jul 17, 2023Updated 2 years ago
- High frequency algotrading bot for bitmex/gdax/etc written to test micro-scale order flow inequality algorithms developed by using machin…☆15Jun 21, 2018Updated 7 years ago