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stock-price-prediction

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Jupyter Notebook
8567
2 年前

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Python
2255
1 年前

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Python
1872
3 年前

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Python
1382
6 年前

Use NLP to predict stock price movement associated with news

Python
820
9 个月前

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

Python
755
1 年前

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).

Jupyter Notebook
686
2 个月前

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Python
606
2 年前
Python
351
1 年前

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

HTML
314
2 年前

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

Jupyter Notebook
301
2 年前