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Yu Chang, Huang

City,Taiwan,Taipei

[email protected]

+886 932 978 536

Quantitative trading and financial data analysis, base on Python.

Skills


Data analysis

  • Multicharts - backtesting software
  • MetaTrader4 - backtesting software
  • MetaTrader5
  • Mysql 
  • mongoDB
  • Matlab 
  • Excel 
  • VBA - used to processing data from Excel


Trading

  • Taiwan Future
  • Taiwan Option
  • Crypto currency
  • CFD
  • Quantitative trading strategy - algorithm for trading 
  • Crypto currency ETF
  • Performance optimize
  • Correlation analysis
  • crypto Defi researching
  • crypto Gamefi researching
  • Binance API
  • Tiger Open API
  • interactive brokers API
  • Sinopac API


Python

  • Crawler - collecting news, 
  • Financial data API - restful api, websocket json 
  • Beautiful Soup - html parser 
  • Matplotlib - data visualization
  • Pyqt - Graphical User Interface 
  • Pandas - data processing 
  • Thread - multithreading
  • Django - new


Tools / Development

  • SourceTree 
  • GitLab 
  • Chrome Dev Tool 
  • Stackoverflow 
  • Postman - API testing,


C#

  • Microsoft Lib - calling Excel, Word function
  • GUI
  • Selenium - web automation testing
  • OpenCV - Image processing


Others

  • Linux - new 
  • JavaScript - new
  • GCP


Work Experience

Analyst of Finance in GuideDesign Studio., Sep 2013 - Aug 2018

- Private asset management, amount of 10 million TWD.

- Financial history data analyzing.

- Surveyed each financial commodity trends.

- Options strategies Modeling .

- Multi- period & Multi-commodity tested.

- Programming trading strategies based on Multicharts or MetaTrader4/5.

- Built a backtesting program with python, including Futures Live Data stream API , GUI, MySQL, and backtesting sys.

- Customized :

    - ERP which including GUI, MySql for membership system based on C#.

    - E-commerce ,including offline POS , merchandise database, format.

    - Auto Updating member data with Selenium.

Quant developer in Starlight Tech. , Aug 2018- Oct 2018

- Called API from cryptocurrency exchanges based on Python.

- Developed cryptocurrency  CTA strategy.

- Built a program to Make Market for company.

- Built some tools to skip the bugs on company's own website.

- Used crawler lib to get quote from OTC Markets.

Software development engineer in ANVO. , Oct 2018- July 2019

- Called API from Futures exchanges, based on Python.

- Maintained and developed trading strategy.

- Used crawler lib to get financial news from website.

- Built new function for company's financial system and Improved operation process.

- Connected SQL database to manage account and built new excel table.

- Built UI for the program by C#.

- Used Git to manage project.

Quant trader in CryptoVix. , Apr 2020- Dec 2020

- Developed cryptocurrency CTA strategy.

- Researching any possibility on cryptocurrency market

- Improve backtesting program's performance

Quant trader & Trader in Algoreality. , Jan 2021- now

- Developed cryptocurrency CTA strategy by Multicharts(Margin with 400k USDT).

- Developed tools to combine with Multicharts by Python.

- Trader(Margin with 600k USDT).

- Researching on cryptocurrency's white paper.

- Developing Cryptocurrency ETF strategy.

- Defi researching.

- Gamefi researching.

- NFT researching.

Education

Private Chinese Culture University, (BEng), electronic engineering, 2012 ~ 2016

- Financial-researching 

- Outschool Lecture of Trading

- Data processing intern of college lab

St. Dominic Catholic High School, 2008 ~ 2011


Taiwan Future Strategy performance

The strategy is based on Multicharts, and the annual average profit is about 45%, this performance is backtesting on Taiwan Future.

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$BNB perpetual 

strategy performance

This is one of my swing trading strategy,  based on Multicharts, and the annual average profit is about 100%, Since 2020 February.

This back performance including trading fee with taker, 0.001% per trade.

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This is the monthly return and draw down.

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$BTC perpetual 

strategy performance

This is one of my trend trading strategy,  based on Multicharts, and the annual average profit is about 100%, Since 2019 October.

This back performance including trading fee with taker, 0.001% per trade.

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This is the equity curve of it.

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This is the performance ratio of it.

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And the total trade analysis.

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This is the monthly return and draw down.

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