#Stock-prediction
Showing 25 of 25 repositories tagged #stock-prediction, ranked by stars
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Using python and scikit-learn to make stock predictions
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
A LSTM model using Risk Estimation loss function for stock trades in market
A C++ stock market algorithmic trading bot
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
Alpaca algo stock trading bot
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉
使用机器学习进行股票预测并指导短线(预测未来3日股价)交易。
Simple stock & cryptocurrency price forecasting console application, using PHP Machine Learning library (https://github.com/php-ai/php-ml)
Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.
Neural Networks to predict stock price
Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with early stopping, and evaluation with RMSE/MAE/MAPE. Includes visualizations of training loss, predicted vs actual prices, and short-horizon forecasts.
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
PyTorch research stack for ML multi-factor trading: 213 factors, bias correction, portfolio optimization, and vectorized backtesting.
📈 Kronos Chinese Guide | Financial K-Line Foundation Model | A 股 K 线预测中文实战指南 — 数据获取 · 预测实战 · 微调教程 · 回测集成 | AAAI 2026 | Zero-shot RankIC +93%
Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.
3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.
股票预测项目,mvp版。期待openai给予额度、GPT加油。
🐉 寻龙诀·A股一进二竞价打板量化系统 | 全市场首板扫描→竞价评分→TOP3推送 | 附大盘预测+个股预测 | 股票短线龙头战法一站式量化工具 | 股市打板客必备 | skill