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（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM等
（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格，注释拉满。
The project aims to analyze the sentiment of news articles related to specific stocks, visualize the sentiment trends over time, and make predictions on stock prices using machine learning algorithms.
Predict the stock price of a company using the stock data and tweets about the company. Extracted informative features on stock price direction from Twitter news and built an LSTM, GRU, BERT models…
Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines.
Prediction Stock price using News Sentiment and Other Major Index like S&P 500 and Nikkei 225 Index.
A hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines.
Stock market prediction based on news impact analysis
Using an LSTM-CNN model to predict apple stock prices using a combination of twitter and news sentiment
A hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines
Stock price prediction using Sentiment Analysis on News headlines data
Stock Price Prediction using Numerical and Textual Analysis
Attempt to predict future stock prices based on Google Trends data.
Enhanced real-time stock price prediction by 12% using sentiment analysis on 5M+ daily tweets via Twitter API, polygon.io, and yfinance; built a scalable pipeline with Google Cloud Pub/Sub, Apache …
Use NLP to predict stock price movement associated with news
Stock Price Prediction using Machine Learning Techniques