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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of Yu Chang, Huang(黃郁璋).
離線
Avatar of Yu Chang, Huang(黃郁璋).
離線
Analyst of Quantitative Finance @幣昇資訊有限公司-Cryptovix
2020 ~ 現在
Financial Analyst
一個月內
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
Python
C#
multicharts
就職中
全職 / 對遠端工作有興趣
4 到 6 年
private chinese culture university
electronic engineering
Avatar of hector.
兩個月內
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 到 15 年
Avatar of Cory Lee.
Avatar of Cory Lee.
CTO @期天資訊
2017 ~ 現在
三個月內
法、程式交易系統等等。 網站技術:Python / Flask / React / Node.js / C# / PostgreSQL / Redis / RabbitMQ 雲端服務:Google Cloud App Engine / Compute Engine / PubSub / Firebase 分析工具:MultiCharts / Pytorch / TensorFlow 巨鵬科技 - 工程師,2015年1月年6月 通訊系統產品開發、軟硬體整合 GPS 資料分析、RF 通訊機制設計、Wi-Fi APP 傳輸實
Python
Linux
Google Cloud Platform
就職中
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
6 到 10 年
國立清華大學
資訊工程
Avatar of the user.
Avatar of the user.
Project manager @AN
2018 ~ 2019
超過一年
Python
multicharts
MetaTrader4
全職 / 對遠端工作有興趣
4 到 6 年
TamKang University
econimic
Avatar of the user.
全職
10 到 15 年
National Cheng Kung University
Department of Engineer Science
Avatar of the user.
Avatar of the user.
Software Engineer @Amazon Web Services (AWS)
2023 ~ 現在
資深前端工程師、資深後端工程師、全端工程師
一個月內
Excel
C#
flutter
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Tamkang University
資訊工程學系
Avatar of 盧胤旻.
半年內
Multichart程式交易 - 自行開發[真實空間定位智能交易策略] , 全日24小時交易 - 股指/農產品/金屬期貨 XQ程式交易 - 應用股票雷達, 增加獲利率 Skill AI Experience Language : python Machine Learning Deep learning Transfer learning Stacking Software : UIpath, Tableau Quality skill 品質檢驗 品質系統 APQP, FMEA, MSA, SPC, PPAP QC 7 tools Ford-8D Quantitative Research Multichart AI : ReinForcement Learning Languages Chinese English
AI & Machine Learning
軟體專案經理
程式交易
15 年以上

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1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
如果結果不夠多,再逐一刪除較不重要的關鍵字
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號,如果想濾掉中文字,需搭配雙引號使用 (-"人資")
UI designer -UX
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職場能力評價定義

專業技能
該領域中具備哪些專業能力(例如熟悉 SEO 操作,且會使用相關工具)。
問題解決能力
能洞察、分析問題,並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對,並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法,且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序,有效運用時間,準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感,願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展,有效引領團隊採取行動,達成共同目標。
一個月內
Quant Trader
幣昇資訊有限公司-Cryptovix
2020 ~ 現在
Taipei, 台灣
專業背景
目前狀態
就職中
求職階段
專業
市場金融
產業
軟體
工作年資
2 到 4 年工作經驗(4 到 6 年相關工作經驗)
管理經歷
技能
Python
C#
multicharts
Git
GitLab
SQL/MySQL
cryptocurrency trading
MongoDB
MetaTrader4
Golang
語言能力
Chinese
母語或雙語
English
中階
Japanese
初階
求職偏好
希望獲得的職位
Financial Analyst
預期工作模式
全職
期望的工作地點
香港, Canada, Singapore
遠端工作意願
對遠端工作有興趣
接案服務
是,我利用業餘時間接案
學歷
學校
private chinese culture university
主修科系
electronic engineering
列印
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.
履歷
個人檔案
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.