aryan-harsh / Stock-Market-Predictor
This contains our project for the course Data Mining, titled Stock Market Predictor. The project applies various Models (such as ARIMA, SVM, various ensemble approaches) in a Dataset of Stock Market for 5 Years , plus Technical Indicators, Wikipidea hits, News mentions and other such features.
☆12Updated 5 years ago
Alternatives and similar repositories for Stock-Market-Predictor
Users that are interested in Stock-Market-Predictor are comparing it to the libraries listed below
Sorting:
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Updated last year
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆84Updated 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
- Stock market forecasting using the ARIMA model.☆49Updated 3 years ago
- In this project, I have tried to predict the stock price of Microsoft using LSTM☆17Updated 6 years ago
- Math Techniques viz. ARIMA, Frequency Decomposition, Fourier Filtering, Linear Regression & Bi-directional LSTMs on Feature Engineered S…☆22Updated 5 years ago
- Predicting stock market prices using RNN with LSTM☆12Updated 5 years ago
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆25Updated 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…☆90Updated 9 months ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆73Updated 4 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 3 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆54Updated 4 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- I will be considering the google stocks data and will create a LSTM network for prediction.☆33Updated last year
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 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…☆31Updated 4 years ago
- Sentiment analysis of the collected tweets is used for prediction model for finding and analysing correlation between contents of news ar…☆12Updated 3 years ago
- Implementation of stock technical indicators and deep LSTM for closing price 30-day lookahead predictions (for learning purposes only).☆30Updated 2 years ago
- BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture,…☆69Updated 6 years ago
- bitcoin prediction algorithms☆25Updated 6 years ago
- The git is about Indian Stock market prediction.☆52Updated 6 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆31Updated 6 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.…☆64Updated last year
- 3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner…☆23Updated 6 years ago
- This repository delineates the affect of social perception on the stock price of a company☆18Updated 5 years ago
- Collection of 7 technical indicators for stock-market forecasting☆17Updated 7 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Updated 7 years ago
- Using fastai and CNNs to predict stock prices☆25Updated 5 years ago