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Name: Oleksandr Anufriyev
Type: User
Twitter: OAnufriyev
Location: Munich, Germany
Name: Oleksandr Anufriyev
Type: User
Twitter: OAnufriyev
Location: Munich, Germany
Applying Deep Learning and NLP in Quantitative Trading
Code covering DMD sector rotation strategy
An open communications protocol for financial market data, trading, historical market data and historical price data.
duka - Dukascopy historical data downloader
Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.
A basic dynamic array library intended for the Zorro Trading Automaton.
Tools for trading with the Zorro platform and Dukascopy broker.
ETL for earningscalendar.net
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Extract sentiment information from 10Q/K forms and predict short term stock return
EDGAR Renderer enables investors to view the interactive data filings submitted under the US Security and Exchange Commission (SEC) rules that require the use of XBRL via the SEC website.
Hilpisch: Eikon Data API Tutorials
Statistical and Algorithmic Investing Strategies for Everyone
tool for visualizing, predicting, and clustering iShares exchange-traded funds (ETFs)
Repository to scrape ETF related data from European ETF issuers. The transparent nature of ETFs means most data is published publicly on websites for consumption
This site will convert a portfolio containing ETFs and break it down into exposure to their individual holdings.
Plan your next EuroTrip using power of Skyscanner APIs
Fully Automated IG Trading. There is an example for regression usage for forecasting
FAIG (Fully Automated IG) ... With stocks, FTSE100
The scraper, parser, and database creation scripts for Financial Management Service daily U.S. Treasury statements.
Python client for Finnhub API
A study which aims to verify the correlation between sentiments from analyst reports and stock price movements.
Here you can find all the quantitative finance algorithms that I've worked on over the past year!
Advances in Financial Machine Learning by Marcos Lopez de Prado
This is a database of 180.000+ symbols containing Equities, ETFs, Funds, Indices, Futures, Options, Currencies, Cryptocurrencies and Money Markets.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.
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.