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Регистрация: 04.11.2022

Aleksandr Vedeneev

Специализация: Quantitative Developer / Financial Data-Scientist / Python

Портфолио

Yet Another Universal Backtesting Engine Release (YAUBER) – Executor

A boilerplate project for building asyncio Python distributed infrastructure. - Fully asynchronous - Uses RabbitMQ and MongoDB - Supports message communication between scripts and RPC calls - Sample infrastructure example

Yet Another Universal Backtesting Engine Release (YAUBER) – Backtester

yauber-backtester is a bare-bone portfolio backtesting engine that: - supports various portfolio management techniques: asset ranking, basket trading, portfolio rebalancing, etc. - intended to work on large asset universes (like 2000-3000 US Stocks EOD), or small intraday asset universes (like futures or forex, 1h timeframe). - supports meta-strategies, building and managing a portfolio of other trading strategies - allows simulating capital allocations, costs, margin trading, etc.

Yet Another Universal Backtesting Engine Release (YAUBER) – Algo Lib

Collection of standalone algorithms for financial time series analysis. Highlights: - It heavily uses Numba for improving performance of the code. It’s generally faster than comparable Pandas algorithms. - It’s build based on strict principles: future reference free, consistent when starting point of history changes, NaN friendly, built-in data validation checks - It’s stable and well tested, this means that logic of algorithms won’t change in the future and any algorithm in this package is 100% covered by unit tests.

Скиллы

Algorithmic Trading
Machine Learning
Python
Trading Infrastructure
Trading Strategies

Опыт работы

Freelancer
08.2016 - 07.2022 |upwork.com
Python, AsyncIO, RabbitMQ, Flask (as backend API), Jupyter Notebook
I’ve become a top-rated plus (top 3%) contractor on this platform in the quantitative modelling, data science, python programming field. I was targeting of long-lasting projects, typically 3+ months, in the field of financial market, data science, quantitative modeling.
Quantitative Developer
04.2016 - 07.2022 |TMQR EXO (TMQR Technologies)
Python, MongoDB, Pandas, Numpy, FIX protocols, Plotly Dash
I designed and created the core trading framework that TMQR used for executing strategies, backtesting, maintaining multi-account algorithmic fund, co-managing over $300m AUM.
Proprietary derivatives trader
01.2010 - 01.2016 |on my behalf
Python, custom trading frameworks
Implementing my own frameworks for creating, testing, and running a diversified portfolio of trading systems.
Head of algorithmic operations
09.2006 - 01.2010 |Proprietary trading firm
SQL, C#, C++
I started my career as a junior trader in a small asset management desk, but over a couple of years progressed to middle derivative trader, and later to the head of the desk of algorithmic trading and arbitrage operations.

Образование

Qualified Financial Specialist in brokerage / dealing
2007
NAUFOR
Qualified Financial Specialist in asset management and fund management
2007
NAUFOR
Finance and Credit / Banking
2003 - 2009
Saratov State Social-Economic University

Языки

АнглийскийСвободно владеюРусскийРодной