c
chengchun_l

ChengChun L

@chengchun_l

Algorithmic Trading Developer

China
Inglês, Chinês
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am a Senior Software Engineer with over 20 years of experience. My expertise spans CRM systems with AI-powered automation, and quantitative trading systems. Helping you solve technical challenges and achieve your goals is what genuinely drives me. Technical Stack: ◾ Language: Python, C/C+, JavaScript, Html, CSS ◾ Algo Trading: Full Quantitative trading Systems, Backtrader, Pine Script, MetaTrader, MQL 5, MQL 4 ◾ AI/LLM: Gemini, Claude, GPT, LangGraph, CrewAI ◾ Sheets: Excel (Formulas, VBA), Google Sheets (Apps Script, Query)... Saiba mais

Habilidades

c
chengchun_l
ChengChun L
offline • 
Tempo médio de resposta: 60 horas

Conheça meus serviços

Desenvolvimento de Bots de Negociação
I will develop python cpp algorithmic frameworks, mt4 mt5 ea, tradingview pinescript
Aplicações Web Full Stack
I will develop a custom CRM software for your business

Portfólio

Experiência profissional

Freelancing_Career

Quantitative Developer

Freelancing Career • Autônomo

Jan 2015 - Present11 yrs 7 mos

Architected and developed a high-performance Python-based algorithmic framework featuring custom real-time market data gateways, sophisticated data screeners, and scalable multi-asset logic modules. Flexible Distributed Architecture: Supported lightweight local execution for focused data monitoring, and robust server-side deployment for massive multi-asset data processing. Seamless Terminal Connectivity: Built a highly customizable local GUI to visualize real-time screening reports and strategy triggers, ensuring seamless API integration with industry-standard platforms such as MetaTrader and IBKR. Robust System Integrity: Implemented critical fail-safes (Pause/Resume/Terminate controls) within the GUI for active logic modules to ensure stability and prevent unintended automated order processing during extreme market volatility. High-Performance Computing: Leveraged the asyncio framework for asynchronous I/O and pandas/polars for vectorized data processing, ensuring ultra-low latency and high-throughput performance.