nihal223 / Stock-ForecasterLinks
A web based stock forecaster in Django with predictive analysis
☆39Updated 4 years ago
Alternatives and similar repositories for Stock-Forecaster
Users that are interested in Stock-Forecaster are comparing it to the libraries listed below
Sorting:
- Main idea is to get an comprehensive idea about a certain stock with prediction values for next few days; sentiment analysis on the news …☆30Updated 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
- A full stack online stock trading platform, built with React and Django☆110Updated last month
- 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
- Django project for online trading simulator☆21Updated 6 years ago
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆215Updated 5 years ago
- Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.☆38Updated 2 years ago
- This is a webapp which predicts stock prices for Indian stock markets(can be used for other stock markets as well) using both fundamental…☆24Updated 7 years ago
- This repository enables traders/investors to spot undervalued stocks automatically in the market efficiently to help them maximise their …☆80Updated 2 years ago
- Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.☆67Updated 7 years ago
- Scalping day trading strategy☆44Updated 5 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…☆35Updated 4 years ago
- Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | …☆58Updated 4 years ago
- 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
- This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.☆65Updated 5 years ago
- Cryptocurrency price prediction using Neural Network☆61Updated 2 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆82Updated 5 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.☆41Updated 3 months ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆135Updated 3 years ago
- 📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.☆28Updated 2 years ago
- Portfolio Management System allows users to manage their financial portfolio easily with the suggestions based on algorithms☆82Updated 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…☆92Updated 5 years ago
- An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms☆43Updated 7 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.☆92Updated 2 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…☆329Updated 2 years ago
- bitcoin prediction algorithms☆25Updated 7 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆61Updated 5 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆77Updated 6 years ago
- Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network☆128Updated 5 years ago