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

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.

This is a Python Flask web app that allows you to forecast short term stock price movements using traditional statistical methods (e.g. ARIMA, HoltWinters and also GBM, etc)

Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.

Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.

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 given for three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices for the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Stockastic is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.

Stock price prediction visualization app powered by LSTMs for forecasting and FinBERT for sentiment analysis

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

Stock Forecasting Web App with Machine Learning 📊

To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application service. On this website, we display candlestick plots of various stocks listed on the Nasdac, according to the option of the user; and utilize the Garch based time forecasting algorithm done using Seasonal arima model and conduct a virtual future prediction for the given stock, so as to be able to conduct non-pairs algorithmic trading using time forecasting and Garch-based deep learning.

Apple Stocks Forecasting Using LSTM'S 🤑

A flask web app that uses the ARIMA model, LSTM model, and sentiment analysis to forecast the rise or fall of the stock market.

AI web app for real-time stock forecasting & dashboards

iOS 15 stock Weather app like 10 day forecast temperature gauges, built using SwiftUI.

Market Pulse is a web app built with Streamlit that provides real-time stock data, technical analysis, and price predictions. It features key tools like RSI, SMA, and Random Forest for stock price forecasting. Key Features: Real-time Stock Data: Get the latest stock prices and metrics. Technical Analysis: Calculate indicators like RSI and SMA.

A Streamlit app that predicts stock prices using historical data and displays relevant financial news and metrics. It leverages the Yahoo Finance API for historical stock data, Prophet for forecasting, Finnhub for financial metrics, and NewsAPI for news articles

Stock Forecasting App with streamlit(using ARIMA,LSTM,GRU)

NASDAQ Explorer is an application designed to forecast stock prices for NASDAQ-listed companies over the next 7 days. The app features various built-in forecasting models, including ARIMA and SARIMA, allowing users to analyze historical stock data. To access the project documentation click on the link below.

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StockAI a simple, modern platform for stock prediction and analysis. It combines deep learning (LSTM) for price forecasting, technical analysis tools, and an AI-powered chat advisor all in a clean, responsive web app.

A fully responsive stock portfolio tracking and forecast app, which leverages Facebook Prophet to provide basic forecasts of whether you should hold, buy or sell a stock.

A machine learning project that analyzes historical Apple (AAPL) stock data and predicts future stock prices using time-series forecasting techniques.

Stock Prediction Android App Using ARIMA Time-Seires Forecasting

This project is a stock prediction app built with Python and Streamlit. The app allows users to visualize historical stock data and forecast future trends using Facebook's Prophet model.

This web app predicts future stock prices using machine learning. It fetches real-time data, processes it, and provides price forecasts using an LSTM model, offering valuable insights for stock market analysis.

A Flask-based web app that predicts future stock prices using an LSTM deep learning model. Users can register, log in, and view visual forecasts, comparisons, and analytics on stock trends. Includes admin dashboard, feedback system, and live data from Yahoo Finance.

Wavelly app for Elliot Wave stock forecasting platform

Stock Price Forecaster Web App

APPLE STOCK PRICE PREDICTION USING TIMESERIES TECHNIQUES