stock-price-prediction github

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: ARIM… · python wordpress flask machine-learning twitter sentiment-analysis tensorflow linear-regression keras lstm stock-market ...

GitHub

github.com › topics › stock-prices-prediction

stock-prices-prediction · GitHub Topics · GitHub

A repository for my stock price predictor project.

GitHub

github.com › topics › stock-market-prediction

stock-market-prediction · GitHub Topics · GitHub

A collection of notebooks and different prediction models that can predict the stock prices.

Discussions

Stock price prediction

what is/are the best way to accurately predict? There isn't one. If a single person could accurately predict the stock market they would be billionaires and they wouldn't tell anyone how to do it. If lots of people could accurately predict the stock market the economy would collapse, meaning no stock market. More on reddit.com

r/learnpython

May 13, 2023

[P] Predicting the stock price 5 minutes ahead with a neural network

While these can be interesting projects for people learning about neural networks and working with data, you should enter into it with an extremely hard prior that if you are seeing excess returns by forcasting stock prices with publically available data, you are doing something unrealistic in your modelling and/or leaking information. More on reddit.com

r/MachineLearning

155

February 16, 2020

Google Finance

google.com › finance

Google Finance - Stock Market Prices, Real-time Quotes & Business News

9 hours ago - Google Finance provides real-time market quotes, international exchanges, up-to-date financial news, and analytics to help you make more informed trading and investment decisions.

GitHub

github.com › topics › stock-price-forecasting

stock-price-forecasting · GitHub Topics · GitHub

A repository for my stock price predictor project. python machine-learning machine-learning-algorithms lstm-model lstm-neural-networks stock-price-forecasting machine-learning-models stock-price-predictor machine-learning-projects stock-prices-prediction

GitHub

github.com › sinanw › lstm-stock-price-prediction

GitHub - sinanw/lstm-stock-price-prediction: This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.

This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period. - sinanw/lstm-stock-price-prediction

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GitHub

github.com › M3GHAN › stock-price-prediction-ARIMA-SARIMA

GitHub - M3GHAN/stock-price-prediction-ARIMA-SARIMA: This repository contains Python code for forecasting stock prices using various time series models. The project utilizes historical stock price data to demonstrate different predictive modeling techniques including Moving Average, ARIMA, and SARIMA.

This repository contains code for predicting stock prices using various time series models. The dataset used in this project is from NSE-TATAGLOBAL, which includes historical stock prices.

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GitHub

github.com › topics › stock-price-predictions

stock-price-predictions · GitHub Topics · GitHub

"A project that predicts stock prices using Principal Component Analysis (PCA) to enhance prediction accuracy by reducing the dimensionality of stock market data."

GitHub

github.com › PhongCT1105 › S-P_500_Stock_Prediction

GitHub - PhongCT1105/S-P_500_Stock_Prediction: Advanced Stock Price Prediction Tool using ARIMA and LSTM models with a Streamlit-based web interface for visualization and analysis.

Advanced Stock Price Prediction Tool using ARIMA and LSTM models with a Streamlit-based web interface for visualization and analysis. - PhongCT1105/S-P_500_Stock_Prediction

Author PhongCT1105

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GitHub

github.com › marcuswang6 › stock-top-papers

GitHub - marcuswang6/stock-top-papers: Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP. - marcuswang6/stock-top-papers

Starred by 402 users

Forked by 46 users

GitHub

github.com › topics › stock-prediction

stock-prediction · GitHub Topics · GitHub

Code for stock movement prediction from tweets and historical stock prices.

GitHub

github.com › topics › predict-stock-prices

predict-stock-prices · GitHub Topics · GitHub

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.

GitHub

github.com › Vatshayan › Final-Year-Machine-Learning-Stock-Price-Prediction-Project

GitHub - Vatshayan/Final-Year-Machine-Learning-Stock-Price-Prediction-Project: Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning

Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning · Top Class Stock Price Prediction Project through Machine Learning Algorithms for Google.

Starred by 144 users

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Languages Jupyter Notebook 96.4% | Python 3.6%

GitHub

github.com › topics › stock-forecasting

stock-forecasting · GitHub Topics · GitHub

A personal end-to-end machine learning project that seeks to predict stock prices from economical indicators for a variety of USA-based companies.

GitHub

github.com › huseinzol05 › Stock-Prediction-Models

huseinzol05/Stock-Prediction-Models

July 27, 2023 - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations - huseinzol05/Stock-Prediction-Models

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Languages Jupyter Notebook 91.0% | JavaScript 8.5%

GitHub

github.com › DarkKnight1991 › Stock-Price-Prediction

GitHub - nayash/Stock-Price-Prediction: Predicting stock price ...

March 18, 2019 - Predicting stock price using historical data of a company, using Neural networks (LSTM). - nayash/Stock-Price-Prediction

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Forked by 73 users

Languages Python

GitHub

github.com › scorpionhiccup › StockPricePrediction

GitHub - scorpionhiccup/StockPricePrediction: Stock Price Prediction using Machine Learning Techniques

Stock Price Prediction using Machine Learning Techniques - scorpionhiccup/StockPricePrediction

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Languages Jupyter Notebook 97.6% | Python 2.4%

GitHub

github.com › Kulbear › stock-prediction

GitHub - Kulbear/stock-prediction: Stock price prediction with recurrent neural network. The data is from the Chinese stock.

Stock price prediction with recurrent neural network. The data is from the Chinese stock. - Kulbear/stock-prediction

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Languages Jupyter Notebook 97.2% | Python 2.8%

GitHub

github.com › vikasharma005 › Stock-Price-Prediction

GitHub - vikasharma005/Stock-Price-Prediction: The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data, visualize technical indicators, and make short-term price predictions using different machine learning models.

The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data, visualize technical indicators, and make short-term price predictions using different machine learning models. - vikasharma005/Stock-Price-Prediction

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GitHub

github.com › 034adarsh › Stock-Price-Prediction-Using-LSTM

GitHub - 034adarsh/Stock-Price-Prediction-Using-LSTM: This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

Welcome to the Stock Market Prediction using LSTM project! This repository contains the code and resources for predicting stock market trends using Long Short-Term Memory (LSTM) neural networks. With the power of deep learning, we aim to forecast stock prices and make informed investment decisions.

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Languages Jupyter Notebook