javifalces Goto Github PK
Name: javifalces
Type: User
Twitter: javifalces
Location: Spain
Name: javifalces
Type: User
Twitter: javifalces
Location: Spain
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Performance analysis of predictive (alpha) stock factors
[SUNSET] Async Google Pubsub Client
Pycharm plugin for https://github.com/ambv/black
blog repo for scripts
test google colab and notebooks
Master Thesis: Limit order placement with Reinforcement Learning
Productivity Tools for Plotly + Pandas
A simple Darwinex ticks data Python API.
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Resources for Data Science and ML
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Source code for the blog post on the evolution of the asset allocation methods
Portfolio Management Tool connecting to the user's account at the European's online broker DEGIRO. Check the README for more info.
Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.
C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
ezIBpy, a Pythonic Client for Interactive Brokers API
Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Code to reproduce "imagenet in 18 minutes" experiments
Python package for financial historical data extraction from Investing.com
Optimal control of risk aversion in Avellaneda Stoikov high frequency market making model with Soft Actor Critic reinforcement learning
Java Experimental Simulated Stock Exchange
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.