ryray Goto Github PK
Type: User
Type: User
Recurrent Neural Network for predicting Stock Returns
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
Deep learning for stock selection based on price-volume data. (CNN, LSTM)
计算因子 临时 repo
This project involved implementation of genetic algorithm for feature selection which were then passed to random forest classifier to predict trading position for day trading in Equity stock markets to provide an alternate method for current method used in buy and sell model.
改进gplearn,主要使用在股票公式挖掘
Customize loss function by taking account of directional loss to make the LSTM model more applicable given limited resources
Implementing a Generative Adversarial Network on the Stock Market
Sequence to Sequence Learning with Keras
This is the the final project of the course: L330 Data Science: principles and practice at the University Of Cambridge. The task for this project is stock market prediction using a diverse set of variables. In particular, given a dataset representing days of trading in the NASDAQ Composite stock market, our aim is to predict the daily movement of the market up or down conditioned on the values of the features in the dataset over the previous N (trading) days.
This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
Model using CNN and LSTM to predict the price of US stocks.
Predicting stock price movement using NN and XGBoost. Kaggle competition - Top 2% final standing.
Use deep learning, genetic programming and other methods to predict stock and market movements
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.