VivekPa / IntroNeuralNetworksLinks
Introducing neural networks to predict stock prices
☆768Updated 6 years ago
Alternatives and similar repositories for IntroNeuralNetworks
Users that are interested in IntroNeuralNetworks are comparing it to the libraries listed below
Sorting:
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆618Updated 2 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆414Updated 6 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆435Updated 4 years ago
- Programs for stock prediction and evaluation☆368Updated 2 weeks ago
- Deep Q-learning driven stock trader bot☆901Updated 2 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆613Updated 2 years ago
- Use NLP to predict stock price movement associated with news☆861Updated last year
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆796Updated 9 years ago
- Regression, Scrapers, and Visualization☆398Updated 2 years ago
- A stock trading bot that uses machine learning to make price predictions.☆653Updated 3 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆560Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆375Updated 2 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆513Updated 4 years ago
- ☆396Updated last month
- Use unsupervised and supervised learning to predict stocks☆1,879Updated 5 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆281Updated 2 years ago
- Stock analysis/prediction model using machine learning☆191Updated 8 years ago
- Using python and scikit-learn to make stock predictions☆1,911Updated last year
- Advances in Financial Machine Learning☆791Updated 2 years ago
- Ipython notebooks for math and finance tutorials☆1,073Updated 5 years ago
- Stock Price Prediction using Machine Learning Techniques☆1,497Updated 2 years ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆284Updated 4 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆645Updated 8 months ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆313Updated 5 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆320Updated 8 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆747Updated 3 years ago
- Machine Learning for finance and investment introduction☆260Updated 7 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆949Updated last year
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆684Updated last year
- Technical Indicators used in Stock Market Analysis☆467Updated 4 years ago