Search results for jupyter notebook stock price prediction

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44 search results found

Stock Prediction Models ⭐ 6,233

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Stockpriceprediction ⭐ 1,132

Stock Price Prediction using Machine Learning Techniques

Trading Bot ⭐ 758

Stock Trading Bot using Deep Q-Learning

Warren ⭐ 214

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.

Stock Market Analysis And Prediction ⭐ 176

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Astock ⭐ 142

Astock

Stock_market_live_trading_using_ai ⭐ 127

The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.

Relataly Public Python Tutorials ⭐ 109

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Stocker ⭐ 108

Stock Price Prediction

Pythonforfinancialanalysis ⭐ 96

Learn backtesting with Python and Pandas.

Sci Pype ⭐ 96

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Bitcoin Value Predictor ⭐ 90

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Dbg Pds Tensorflow Demo ⭐ 65

Making predictions on prices in the Deutsche Börse Public Dataset using neural networks

Wsae Lstm ⭐ 61

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Stock_price_prediction_with_rnns ⭐ 42

Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.

Us Stock Prediction Using Ml And Spark ⭐ 35

Predict stock price based on financial news feeds

Stockmarketml ⭐ 32

Predicting stocks with ML.

Stock Price Prediction Model ⭐ 31

Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.

Tesla Stocks Prediction ⭐ 29

The implementation of LSTM in TensorFlow used for the stock prediction.

Investment Portfolio Optim ⭐ 27

An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The performance of this portfolio is better compared to an equally weighted portfolio and a market capitalization-weighted portfolio.

Funcat ⭐ 26

Using very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.

Time Series Analysis And Forecasting ⭐ 19

In this repository, I have mentioned all the time series analysis methods from statsmodels library to analyse and model time-series data.

Stock Time Series Analysis ⭐ 18

Mathematical modeling for finantial time series data

Ai For Trading Notes ⭐ 16

My personal notes for Udacity's AI for Trading Nanodegree

Stock Market Predictor ⭐ 16

Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)

Alfred ⭐ 15

💰 Interactive dashboard for Stock Market Investments

Neuralstockpredictor ⭐ 12

Stock Price Prediction using Convolutional and Recurrent Neural Networks on Keras (Research)

Optimizing Stock Trading Strategy With Reinforcement Learning ⭐ 11

This project is a part of my Data Science Internship at Technocolabs Softwares.

Stock Price Prediction Project ⭐ 10

Final year College Project with Project Report, PPT, Synopsis and Code

Stock_price_prediction ⭐ 10

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

Reliance Stock Price Prediction Lstm ⭐ 9

Implemented LSTM model to predict Reliance stock prices, achieving accurate forecasts for 10 days.

Stock Price Predictor ⭐ 9

Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.

Stock Price Prediction ⭐ 9

Fall 18' Class Project for Artificial Intelligence

Stockprediction ⭐ 7

Stock Prediction by Reinforcement Learning and RNN

Metropolis Hasting Wgan On Stock Prediction ⭐ 7

Use metropolis hasting to enhance gan on stock prediction

Ultimate Stock Machine Learning Training Dataset ⭐ 7

Algo Trading - Notebooks: Start to End of Algo Trading Development. Data:Stocks up till 2019 with all daily close data.

Nyse Stock_market Analysis Using Lstm ⭐ 7

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

Hackmit Stock Prediction ⭐ 7

Stock price prediction through market data and sentiment analysed twitter data

Predicting Indian Stocks Price With Stacked Lstm ⭐ 6

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

Exploratory_data_analysis_and_ml_projects ⭐ 6

Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.

Stock Market Prediction ⭐ 6

An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.

Tesla Stock Price Pred ⭐ 6

Tesla’s stock price is predicted over some months using an LSTM model. Tweets about Tesla are used to improve prediction accuracy.

Stock Prediction Portfolio Optimization ⭐ 5

A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.

Sentimenttrader ⭐ 5

Cryptocurrency Sentiment Trader