seanahmad Goto Github PK
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Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Twitter Spark Streaming using PySpark
A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
A PyTorch-based Speech Toolkit
一个基于vnpy,支持多账户,多策略,实盘交易,数据分析,分布式在线回测,风险管理,多交易节点的量化交易系统;支持CTP期货,股票,期权,数字货币等金融产品
Python Trading Algorithm utilizing Quantopian Codebase
SQL codes written for fetching business data and basic analysis
For various examples and code for STA 2503: Applied Probability in Mathematical Finance
For code and snippets for STA 2536: Data Science for Risk Modeling
Implemented a logistic mixture auto-regressive co-integration to model a mixture of random walk and mean-reverting process.
Notebooks containing R code from Richard McElreath's Statistical Rethinking
Generate realizations of stochastic processes in python.
Stock Market Prediction Using Unsupervised Features
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Hidden Markov Model (HMM) based stock forecasting
Ideas, research, and models related to the stock market.
How to detect stock market crashes with topology.
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
An attempt to predict stock market volatility, return and trading volume of tech stocks using Semantic Vectors and Google Trends, which reflects real-time popularity of search terms
A graph visualization for a set of twitter data used to get some statistics from graph features.
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
Using Markov Chain Model to predict stock market trend
This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.
Moving averages for Stock visualization
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Repo for my MSc Thesis
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.