VivekPa / IntroNeuralNetworksLinks
Introducing neural networks to predict stock prices
☆760Updated 5 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…☆616Updated 2 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆430Updated 3 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆413Updated 5 years ago
- Use unsupervised and supervised learning to predict stocks☆1,836Updated 5 years ago
- A stock trading bot that uses machine learning to make price predictions.☆648Updated 3 years ago
- Regression, Scrapers, and Visualization☆396Updated 2 years ago
- Programs for stock prediction and evaluation☆363Updated 7 months ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆604Updated 2 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆764Updated 9 years ago
- Use NLP to predict stock price movement associated with news☆846Updated last year
- Stock Price Prediction using Machine Learning Techniques☆1,466Updated last year
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆273Updated 2 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆484Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆358Updated 2 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆315Updated 4 years ago
- Using python and scikit-learn to make stock predictions☆1,873Updated last year
- Teaches step-by-step to analysis stock data in python.☆413Updated last year
- ☆400Updated 2 years ago
- Stock analysis/prediction model using machine learning☆190Updated 7 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆557Updated 4 years ago
- Technical Indicators used in Stock Market Analysis☆467Updated 3 years ago
- Deep Q-learning driven stock trader bot☆888Updated last year
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,599Updated last year
- A small Python library with most common stock market indicators☆227Updated 6 years ago
- An open source library for portfolio optimisation☆360Updated last year
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆614Updated 3 months ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆739Updated 3 years ago
- Advances in Financial Machine Learning☆785Updated 2 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆908Updated last year
- Ipython notebooks for math and finance tutorials☆1,054Updated 4 years ago