VivekPa / IntroNeuralNetworksLinks
Introducing neural networks to predict stock prices
☆770Updated 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…☆622Updated 2 years ago
- A stock trading bot that uses machine learning to make price predictions.☆660Updated 3 years ago
- Regression, Scrapers, and Visualization☆398Updated 2 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆805Updated 9 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆615Updated 2 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆436Updated 4 years ago
- Using python and scikit-learn to make stock predictions☆1,926Updated last year
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆417Updated 6 years ago
- Programs for stock prediction and evaluation☆369Updated this week
- Use NLP to predict stock price movement associated with news☆870Updated last year
- Stock Price Prediction using Machine Learning Techniques☆1,512Updated 2 years ago
- Use unsupervised and supervised learning to predict stocks☆1,895Updated 5 years ago
- Deep Q-learning driven stock trader bot☆902Updated 2 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆315Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆377Updated 3 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆285Updated 2 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆659Updated last month
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,705Updated last year
- Teaches step-by-step to analysis stock data in python.☆446Updated last year
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆961Updated last year
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆524Updated 4 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆564Updated 5 years ago
- A small Python library with most common stock market indicators☆226Updated 6 years ago
- Stock analysis/prediction model using machine learning☆190Updated 8 years ago
- Algorithmic Trading using Sentiment Analysis on News Articles☆170Updated 5 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆756Updated 3 years ago
- Research in investment finance with Python Notebooks☆1,092Updated last month
- ☆400Updated last month
- Technical Indicators used in Stock Market Analysis☆467Updated 4 years ago
- Ipython notebooks for math and finance tutorials☆1,085Updated 5 years ago