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Name: Adrian Gainza Huepp
Type: User
Bio: Science Computer programmer interested in trading forex, cryptocurrencies and stocks options. Deep Reinforcement Learning: DDPG, A2C, Q-Learning.
Name: Adrian Gainza Huepp
Type: User
Bio: Science Computer programmer interested in trading forex, cryptocurrencies and stocks options. Deep Reinforcement Learning: DDPG, A2C, Q-Learning.
Mostly experiments based on "Advances in financial machine learning" book
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Code snippets for Alpaca Trading API Guide published on AlgoTrading101's Blog
Backtesting.py is an open-source backtesting Python library that allows users to test their trading strategies via code.
Python Backtesting library for trading strategies
These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website
These are the code snippets used in the Binance Python API - A step-by-step guide on the AlgoTrading101 website
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
Coursera Deep Learning Specialization Repository
Find Crypto Mispricing for Arbitrage - Algotrading101 blog
Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.
Using deep actor-critic model to learn best strategies in pair trading
Algorithmic trading with deep learning experiments
Docker - Beginners | Intermediate | Advanced
Massively Parallel Deep Reinforcement Learning. 🔥
This repo covers Ansible with LABs: Multipass, Commands, Modules, Playbooks, Tags, Managing Files and Servers, Users, Roles, Handlers, Host Variables, Templates and details.
This repo covers containerization and Docker Environment: Docker File, Image, Container, Commands, Volumes, Networks, Swarm, Stack, Service, possible scenarios.
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
This repo covers Terraform (Infrastructure as Code) with LABs using AWS and AWS Sample Projects: Resources, Variables, Meta Arguments, Provisioners, Dynamic Blocks, Modules, Provisioning AWS Resources (EC2, EBS, EFS, VPC, IAM Policies, Roles, ECS, ECR, Fargate, EKS, Lambda, API-Gateway, ELB, S3, etc.
FinanceDatabase
FinRL: Financial Reinforcement Learning. 🔥
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.