m
marchesequantla

Marchese Q.

@marchesequantla

Quantitative Architect Financial Data Engineer Algorithmic Trading Specialis

Polônia
Inglês
Algumas informações são exibidas no idioma inglês.
Sobre mim
Quantitative Architect | Institutional Data & Algorithmic Trading I provide institutional-grade historical data and high-performance execution strategies. • Data Engineering: Cleaned, 1-tick historical datasets (ES/CME) optimized in Apache Parquet for lightning-fast backtesting and ML. • Algo Development: Expert C++ and Python for Sierra Chart (ACSIL) and NinjaTrader. Robust, low-latency systems built for live markets. Portfolio & free ES samples: github.com/marchese82... Saiba mais

Habilidades

m
marchesequantla
Marchese Q.
offline • 
Tempo médio de resposta: 4 horas

Conheça meus serviços

Limpeza de Dados
I will provide cleaned and verified es tick data
A partir deUS$ 25 /projetoMais detalhes

Portfólio

Experiência profissional

Quantitative Trader & Market Analyst

Trading • Autônomo

Feb 2019 - Present • 7 yrs 3 mos

I am a self-employed quantitative trader and market analyst focused on futures markets, technical analysis, systematic strategy research, and risk management. My work involves studying market structure, price action, volatility, volume behavior, and session-based trading conditions to identify high-probability trade setups. I develop and test trading ideas using data-driven methods, including backtesting, performance tracking, risk/reward analysis, and rule-based strategy design. My experience includes analyzing ES/MES futures, building trading plans, reviewing chart behavior, improving entry and exit logic, and creating structured market research for discretionary and systematic traders. I focus heavily on disciplined risk management, realistic strategy evaluation, and clear market explanations. My goal is to help clients better understand their trading data, refine their strategy logic, and make more informed decisions based on evidence rather than emotion. Services I can support include market analysis, trading strategy review, backtesting concepts, futures market research, trading plan development, technical chart review, and quantitative trading workflow improvement.