Zeeshanahmad4 / Stock-Prices-Prediction-ML-Flask-DashboardLinks
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.
☆50Updated last year
Alternatives and similar repositories for Stock-Prices-Prediction-ML-Flask-Dashboard
Users that are interested in Stock-Prices-Prediction-ML-Flask-Dashboard are comparing it to the libraries listed below
Sorting:
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆96Updated last year
- Stock prediction app using Streamlit and Facebook prophet☆39Updated 2 years ago
- 1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock.…☆71Updated last year
- A Web Application that allows users to create dummy portfolios or watchlists to monitor or test their trading strategies. Written in Pyth…☆50Updated 2 years ago
- 💰 Interactive dashboard for Stock Market Investments☆41Updated 4 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆77Updated 5 years ago
- Stock Market Analysis and Prediction is the project related to Exploratory data analysis( EDA), Data visualization and Predictive analysi…☆17Updated 6 years ago
- Automated Exploration Data Analysis on a financial dataset☆40Updated last year
- This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.☆65Updated 5 years ago
- Stock market forecasting using the ARIMA model.☆50Updated 3 years ago
- In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EM…☆40Updated 4 years ago
- Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step tim…☆317Updated last year
- The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data…☆28Updated 3 months ago
- Real time scrapping of stock data in order to get the most recent available information. Cleaning, structuring and parsing of relevant da…☆94Updated last year
- Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.☆24Updated last year
- StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price predic…☆20Updated 10 months ago
- Machine learning Regression problem with easy understandable solutions☆36Updated 7 years ago
- SheikhRabiul / A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-MarketIllegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acq…☆104Updated 6 years ago
- Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner☆192Updated 3 years ago
- Quantitative analysis, from data processing and trading signal generation to portfolio management. Using machine learning to generate t…☆14Updated 2 years ago
- Stock returns dashboard in React and Flask using data from IEX☆37Updated 2 years ago
- Trading App☆13Updated 2 years ago
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆214Updated 5 years ago
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆335Updated 2 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆131Updated 4 years ago
- A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models pe…☆33Updated 4 years ago
- Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | …☆57Updated 3 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆315Updated 4 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆89Updated 5 years ago
- A stock analysis app with streamlit☆71Updated 5 years ago