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Name: itresearch
Type: User
Company: MGS
Location: Lugano
Name: itresearch
Type: User
Company: MGS
Location: Lugano
Time-series database
Minimalist backtester designed to integrate with the quant workflow.
Automatically setup and host a Bitwarden instance on a Raspberry Pi or other Linux Server
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
FUSE driver to read/write Windows' BitLocker-ed volumes under Linux / Mac OSX
a simple example of document upload
Docker Oanda DATA Fedder
Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
A Golang wrapper for OANDAs v20 API
Oanda Data Feeder for marketstore
Contains all the Jupyter Notebooks used in our research
Simple Risk Premia Strategy
This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).
Deep Learning via Neural Network featured with Stacked Auto Encoders for Financial Trading Application in R
MultiDiscrete
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Converter for Zorro
Code and content for "Tidy Modeling with R"
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
Zorro triple barrier test case
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
Repository to develop a benchmark to test a strategy against several random strategies
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.