sharavsambuu Goto Github PK
Name: sharavsambuu
Type: User
Bio: A Financial Theory Detective.
Location: Murun, Khuvsgul, Mongolia
Name: sharavsambuu
Type: User
Bio: A Financial Theory Detective.
Location: Murun, Khuvsgul, Mongolia
QIT(Quantitative Investing & Trading) Working Group of the CFA Society Korea
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Code for Combinatorial Purged Cross Validation
Create the dataset that most affective way to predict the stock price based on the book (Advanced in Financial ML). I have gotten the idea from the book and use some of the code from the book to create the dataset with AAPL tick data.
Asynchronous Semaphore Based on Credits for Efficient Credit-Based API Throttling
Jupyter notebooks for analyzing crypto data
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
Machine learning end-to-end research and trade execution
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
Source code for the blog post on the evolution of the asset allocation methods
Algorithmic trading with deep learning experiments
In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.
Generate initial 1 million neural machine translation warm up dataset from 700M Mongolian text dataset using Google Translate service.
Notebooks from the Quantinsti EPAT program
Constructing a portfolio of crypto and stock assets utlizing ESG scores as well as machine learning models to predict buy / sell signals after establishing asset weights using hierarchical risk parity models.
issa useless copy pasta, use them at ur own risk
Fast Combinatorial Cross Validation
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Advances in Financial Machine Learning
Finance ML Implementation
A curated list of practical financial machine learning tools and applications.
Collection of notebooks about quantitative finance, with interactive python code.
FinancialVision
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.