Data-Science-Community-SRM / Conjexure-A-Web-App-for-Stock-Market-ForecastingLinks
Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.
☆23Updated 2 years ago
Alternatives and similar repositories for Conjexure-A-Web-App-for-Stock-Market-Forecasting
Users that are interested in Conjexure-A-Web-App-for-Stock-Market-Forecasting 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☆40Updated 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 2 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆74Updated 5 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆77Updated 5 years ago
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆16Updated 3 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…☆34Updated 4 years ago
- This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.☆65Updated 5 years ago
- This app is a simple example of using Strealit to create a financial data web app.☆128Updated last year
- This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (S…☆53Updated last year
- Automated Exploration Data Analysis on a financial dataset☆41Updated last year
- A stock analysis app with streamlit☆72Updated 5 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆15Updated 6 years ago
- 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
- applications for risk management through computational portfolio construction methods☆44Updated 5 years ago
- Real time scrapping of stock data in order to get the most recent available information. Cleaning, structuring and parsing of relevant da…☆99Updated last year
- Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner☆192Updated 4 years ago
- Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go☆79Updated 4 years ago
- 💰 Interactive dashboard for Stock Market Investments☆41Updated 4 years ago
- Financial data analytics with Python☆75Updated 5 years ago
- Using weighted average formula, profit and loss is calculated in Bank Nifty Data of 5 min☆11Updated 4 years ago
- This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly☆71Updated 4 years ago
- A program that scrapes for news from MoneyControl, helping traders take informed decision.☆41Updated 7 years ago
- Predicting stock market prices using RNN with LSTM☆12Updated 6 years ago
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆337Updated 2 years ago
- Account and Market Analysis Tool☆41Updated 3 years ago
- This project is to develop tools for investment decision-making and make investment analysis using data science techniques.☆52Updated 2 years ago
- Historical data of financial instruments from NSE☆26Updated 2 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆86Updated 4 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆80Updated 5 years ago