thushv89 / datacamp_tutorials
☆186Updated 6 years ago
Alternatives and similar repositories for datacamp_tutorials:
Users that are interested in datacamp_tutorials are comparing it to the libraries listed below
- Predicting stock price using historical data of a company, using Neural networks (LSTM).☆153Updated 5 years ago
- Programs for stock prediction and evaluation☆357Updated last month
- Use deep learning, genetic programming and other methods to predict stock and market movements☆422Updated 3 years ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.☆278Updated 9 months ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆129Updated 4 years ago
- Algorithmic Trading using Sentiment Analysis on News Articles☆169Updated 4 years ago
- In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.☆248Updated 5 years ago
- Machine Learning for finance and investment introduction☆255Updated 6 years ago
- Sentiment Analysis of news on stock prices☆121Updated last year
- ☆181Updated 6 years ago
- ☆102Updated 6 years ago
- Predicting the stock market with sentiment analysis and LSTM techniques☆81Updated 4 years ago
- Backtesting toolbox for trading strategies - DEPRECATED☆114Updated 4 years ago
- We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time peri…☆76Updated 7 years ago
- ☆82Updated 6 years ago
- Udacity - Machine Learning for Trading☆59Updated 4 years ago
- Source code for the blog post on the evolution of the asset allocation methods☆212Updated 5 years ago
- LSTM RNN for sentiment-based stock prediction☆64Updated 7 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- ☆64Updated 7 years ago
- Stock analysis/prediction model using machine learning☆186Updated 7 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆263Updated last year
- Mostly experiments based on "Advances in financial machine learning" book☆544Updated 4 years ago
- Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering☆252Updated 4 years ago
- Source code for my personal blog☆186Updated 2 months ago
- ☆125Updated 6 years ago
- Listed Volatility and Variance Derivatives (Wiley Finance)☆143Updated 3 years ago
- Stock Market Analysis with RNN and Time Series☆80Updated 5 years ago
- ☆113Updated 7 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆54Updated 7 years ago