CakeResume Talent Search

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4〜6年
6〜10年
10〜15年
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Analyst of Quantitative Finance @幣昇資訊有限公司-Cryptovix
2020 ~ 現在
Financial Analyst
1ヶ月以内
Python
C#
multicharts
就職中
フルタイム / リモートワークに興味あり
4〜6年
private chinese culture university
electronic engineering
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2ヶ月以内
Managed a commodity portfolio ( 25 million USD) by self developed CTA style models. Set up internal hedge fund selection process, and studied global macro fund strategies. FebAug 2011 學歷 SepDec 2007 National Taiwan University, Taipei, Taiwan MBA | Financial Engineering SepJunNational ChenChi University, Taipei, Taiwan Bachelor of Arts | Politics 技能 Quantitative investment analytical systems Asset allocation and sector allocation ILP mandate. Quantitative equity portfolio construction.. Financial statement analysis. Python, VBA , and Multicharts expertise MS Office Chartered Financial Analyst (CFA) Charter Holder Financial Risk Manager (FRM) Charter Holder 語言 Chinese -...
Excel
PowerPoint
Google Drive
10〜15年
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CTO @期天資訊
2017 ~ 現在
3ヶ月以内
Python
Linux
Google Cloud Platform
就職中
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
國立清華大學
資訊工程
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Project manager @AN
2018 ~ 2019
1年以上
Python
multicharts
MetaTrader4
フルタイム / リモートワークに興味あり
4〜6年
TamKang University
econimic
Avatar of 顏瑞宏.
1年以内
協力廠商專案管理 (新功能規劃/議價/執行/測試) 券商 投顧網站維護/建置, 協力廠商專案管理 pair trading 實作 (使用群益API) Multicharts 策略蒐集研究 專案副理/友訊科技股份公司,2013 年 2 月年 8 月 協助主管進行網路設備管理軟體(NMS) UI Coverage測試 建立多平台
フルタイム
10〜15年
National Cheng Kung University
Department of Engineer Science

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1ヶ月以内
Quant Trader
幣昇資訊有限公司-Cryptovix
2020 ~ 現在
Taipei, 台灣
Professional Background
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就職中
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Market Finance
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Management
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C#
multicharts
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cryptocurrency trading
MongoDB
MetaTrader4
Golang
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Chinese
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Financial Analyst
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香港, Canada, Singapore
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はい、私はアマチュアのフリーランスです。
学歴
学校
private chinese culture university
専攻
electronic engineering
印刷
Pfwmcrhjnsfuuipdgtnm

Yu Chang, Huang

黃郁璋,Quantitative Analyst,Taiwan,Taipei

[email protected]

As a quantitative researcher with a strong foundation in programming and data analysis, I am passionate about leveraging technology to drive financial innovation and efficiency. Specializing in the cryptocurrency market, I aim to contribute my extensive programming skills to develop sophisticated trading algorithms and systems.

COMPETENCIES


Data analysis Tools

  • Multicharts - backtesting software
  • MetaTrader4
  • Tradingview


Trading Experience

  • Taiwan Futures, Options
  • Crypto currency ETF
  • Binance API, interactive brokers API


Python

crawler, fastapi, pymongo, pandas, thread, asyncio, pika


Tools / Development

Mysql. rabbitMQ, mongoDB, GitLab, Jira, Linux

Extra skills: C#, Go

Work Experience

Software Engineer at QTK Investment. , May 2023 - Present

  • Developed a trading signal subscription Telegram bot, built RESTful API services using FastAPI, enabling users to subscribe and receive signals through Telegram.
  • Managed concurrent data processing from multiple data sources using Python’s asynchronous programming (asyncio), effectively handling high-concurrency data streams to ensure timeliness and responsiveness.
  • Utilized MongoDB Atlas for the cloud database, meticulously designed DB schema and regularly scheduled cron jobs to automatically update and maintain data consistency and reliability.
  • Developed cryptocurrency copy trading systems and term arbitrage strategies: 
    • Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods.
    • Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios. 

Quantitative Researcher at Algoreality. , Jan 2021- Dec 2022

  • Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading commands and the overall system responsiveness.
  • Integrated RabbitMQ messaging queues to establish an efficient order processing mechanism, ensuring stability and reliability in a high-frequency trading environment while reducing system latency.
  • Adopted a dynamic grid strategy, dynamically adjusting grid size and trading intervals by analyzing market data in real time, optimizing the strategy's profitability and adaptability to market changes.
  • Developed cryptocurrency trading strategies, tightly integrated MultiCharts with Python for rapid development and precise backtesting of complex strategies through robust data analysis and processing capabilities.
  • Utilized advanced data analysis techniques, such as time-series analysis, to perform in-depth studies of the cryptocurrency market, thereby designing trading models with high predictive accuracy.
  • Continuously optimized and adjusted strategies, successfully managed 1M USDT of funds, achieving stable returns under fluctuating market conditions.

Quantitative Researcher at CryptoVix. , Apr 2020- Dec 2020

  • Designed and implemented CTA strategies for the cryptocurrency market using MultiCharts, effectively capturing market trends and price fluctuations for steady profits.
  • Integrated advanced technical analysis and quantitative models, enhancing strategy predictive accuracy and trading efficiency through various indicators and algorithms such as Moving Averages (MA), Relative Strength Index (RSI), and machine learning prediction models.
  • Developed a flexible backtesting framework using Python, supporting custom strategy parameter adjustments and historical data analysis to quickly evaluate strategy performance and risks.
  • Conducted comprehensive performance analysis including Sharpe ratio, maximum drawdown, and profit-loss ratio to ensure strategy stability and reliability under different market conditions.
  • Combined real-time data streams and historical backtesting results for continuous strategy adjustments and optimizations to cope with the high volatility and uncertainty of the cryptocurrency market.

Software Engineer at ANVO. , Feb 2018- Dec 2019

  • Developed a comprehensive accounting system using C#, tailored to the needs of the finance department, providing efficient accounting and financial reporting capabilities. This system supported the automatic organization and categorization of financial data, greatly enhancing the accuracy and efficiency of financial audits.
  • Implemented a flexible reporting template that allowed users to customize financial reports according to specific needs, increasing the system's flexibility.
  • Developed an automated financial news collection system using Python, aggregating the latest market information and financial news from major exchanges and financial news websites. This system utilized efficient web crawling technologies and data parsing algorithms to ensure the timeliness and accuracy of the information.

Software Engineer at GuideDesign Studio., Sep 2016 - Feb 2018

  • Led the development of a customized inventory management system, using C# as the primary development language. This system automated internal resource management, including financial management, inventory management, and customer data management.
  • Utilized C# and Open AI toolkit to develop advanced natural language processing features, automatically organizing and analyzing user consumption details, enhancing the efficiency and accuracy of data processing.
  • Successfully integrated the ERP system with front-end POS machines, automating the sales process from consumption details to receipt output, significantly speeding up transaction processing and enhancing customer checkout convenience.
  • Developed an interface that allowed the ERP system to directly call the Microsoft Word suite to automatically generate formatted receipts based on consumption details and print them through the POS machine, greatly improving work efficiency and customer satisfaction.
  • Designed and implemented a user-friendly GUI (Graphical User Interface), enabling non-technical staff to easily operate the ERP system, increasing system usage rates and improving enterprise work efficiency.
  • Managed the database using MySQL, optimizing the data storage structure to ensure efficient data access and security, supporting the data needs of enterprise operations.
MetaTrader 4 (MT4) Strategy and Plugin Development 

  • Specialized in developing highly customized trading strategies using the MQL4 language, designed and implemented automated trading algorithms tailored to different market conditions and trading styles. These strategies automatically adjusted parameters during market fluctuations to maximize profits and control risks.
  • Conducted in-depth performance optimization for MT4 strategies, ensuring algorithm stability and low-latency execution in a high-frequency trading environment. Additionally, provided robust backend support for strategies, including data analysis, strategy backtesting, and real-time monitoring, ensuring that the trading systems were effective under various market conditions.
Resume
プロフィール
Pfwmcrhjnsfuuipdgtnm

Yu Chang, Huang

黃郁璋,Quantitative Analyst,Taiwan,Taipei

[email protected]

As a quantitative researcher with a strong foundation in programming and data analysis, I am passionate about leveraging technology to drive financial innovation and efficiency. Specializing in the cryptocurrency market, I aim to contribute my extensive programming skills to develop sophisticated trading algorithms and systems.

COMPETENCIES


Data analysis Tools

  • Multicharts - backtesting software
  • MetaTrader4
  • Tradingview


Trading Experience

  • Taiwan Futures, Options
  • Crypto currency ETF
  • Binance API, interactive brokers API


Python

crawler, fastapi, pymongo, pandas, thread, asyncio, pika


Tools / Development

Mysql. rabbitMQ, mongoDB, GitLab, Jira, Linux

Extra skills: C#, Go

Work Experience

Software Engineer at QTK Investment. , May 2023 - Present

  • Developed a trading signal subscription Telegram bot, built RESTful API services using FastAPI, enabling users to subscribe and receive signals through Telegram.
  • Managed concurrent data processing from multiple data sources using Python’s asynchronous programming (asyncio), effectively handling high-concurrency data streams to ensure timeliness and responsiveness.
  • Utilized MongoDB Atlas for the cloud database, meticulously designed DB schema and regularly scheduled cron jobs to automatically update and maintain data consistency and reliability.
  • Developed cryptocurrency copy trading systems and term arbitrage strategies: 
    • Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods.
    • Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios. 

Quantitative Researcher at Algoreality. , Jan 2021- Dec 2022

  • Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading commands and the overall system responsiveness.
  • Integrated RabbitMQ messaging queues to establish an efficient order processing mechanism, ensuring stability and reliability in a high-frequency trading environment while reducing system latency.
  • Adopted a dynamic grid strategy, dynamically adjusting grid size and trading intervals by analyzing market data in real time, optimizing the strategy's profitability and adaptability to market changes.
  • Developed cryptocurrency trading strategies, tightly integrated MultiCharts with Python for rapid development and precise backtesting of complex strategies through robust data analysis and processing capabilities.
  • Utilized advanced data analysis techniques, such as time-series analysis, to perform in-depth studies of the cryptocurrency market, thereby designing trading models with high predictive accuracy.
  • Continuously optimized and adjusted strategies, successfully managed 1M USDT of funds, achieving stable returns under fluctuating market conditions.

Quantitative Researcher at CryptoVix. , Apr 2020- Dec 2020

  • Designed and implemented CTA strategies for the cryptocurrency market using MultiCharts, effectively capturing market trends and price fluctuations for steady profits.
  • Integrated advanced technical analysis and quantitative models, enhancing strategy predictive accuracy and trading efficiency through various indicators and algorithms such as Moving Averages (MA), Relative Strength Index (RSI), and machine learning prediction models.
  • Developed a flexible backtesting framework using Python, supporting custom strategy parameter adjustments and historical data analysis to quickly evaluate strategy performance and risks.
  • Conducted comprehensive performance analysis including Sharpe ratio, maximum drawdown, and profit-loss ratio to ensure strategy stability and reliability under different market conditions.
  • Combined real-time data streams and historical backtesting results for continuous strategy adjustments and optimizations to cope with the high volatility and uncertainty of the cryptocurrency market.

Software Engineer at ANVO. , Feb 2018- Dec 2019

  • Developed a comprehensive accounting system using C#, tailored to the needs of the finance department, providing efficient accounting and financial reporting capabilities. This system supported the automatic organization and categorization of financial data, greatly enhancing the accuracy and efficiency of financial audits.
  • Implemented a flexible reporting template that allowed users to customize financial reports according to specific needs, increasing the system's flexibility.
  • Developed an automated financial news collection system using Python, aggregating the latest market information and financial news from major exchanges and financial news websites. This system utilized efficient web crawling technologies and data parsing algorithms to ensure the timeliness and accuracy of the information.

Software Engineer at GuideDesign Studio., Sep 2016 - Feb 2018

  • Led the development of a customized inventory management system, using C# as the primary development language. This system automated internal resource management, including financial management, inventory management, and customer data management.
  • Utilized C# and Open AI toolkit to develop advanced natural language processing features, automatically organizing and analyzing user consumption details, enhancing the efficiency and accuracy of data processing.
  • Successfully integrated the ERP system with front-end POS machines, automating the sales process from consumption details to receipt output, significantly speeding up transaction processing and enhancing customer checkout convenience.
  • Developed an interface that allowed the ERP system to directly call the Microsoft Word suite to automatically generate formatted receipts based on consumption details and print them through the POS machine, greatly improving work efficiency and customer satisfaction.
  • Designed and implemented a user-friendly GUI (Graphical User Interface), enabling non-technical staff to easily operate the ERP system, increasing system usage rates and improving enterprise work efficiency.
  • Managed the database using MySQL, optimizing the data storage structure to ensure efficient data access and security, supporting the data needs of enterprise operations.
MetaTrader 4 (MT4) Strategy and Plugin Development 

  • Specialized in developing highly customized trading strategies using the MQL4 language, designed and implemented automated trading algorithms tailored to different market conditions and trading styles. These strategies automatically adjusted parameters during market fluctuations to maximize profits and control risks.
  • Conducted in-depth performance optimization for MT4 strategies, ensuring algorithm stability and low-latency execution in a high-frequency trading environment. Additionally, provided robust backend support for strategies, including data analysis, strategy backtesting, and real-time monitoring, ensuring that the trading systems were effective under various market conditions.