Algorithmic Trading + ML + AI(2)

Quant Resume Buildings

• Quant firms들의 JD들에 대부분 partial differential equation (PDE)가 들어가 있음.
• Database 경험이 중요함: SQL
• All-in-one: Online webapp, hosted on my website.
  • from free data sources:
    • Daily pull of equity/ future prices.
    • store in database, cloud hosted

• Unexpected Things I’ve noticed on QFin JDs
  • Research/Trading
  • Database(SQL)
  • AWS
  • ML model deployment.
  • Prior experience with Devs/Collaboration Coding
• Obvious things on QFin JDs
  • High Sharpe historical performance.
    • 2-3, 1.5+
  • Applied Math to finance.
  • Education MS +
  • Coding: Python
  • Pseudo IQ test: Wonderlic Test
  • Options/Equity Market Making OR statarb

Mathematical Finance

• Black Scholes

  

• Binomial Model: Dai, T. S., & Lyuu, Y. D. (2010). The bino-trinomial tree: A simple model for efficient and accurate option pricing. Journal of Derivatives, 17(4), 7.

  

• shallow water equation: https://users.oden.utexas.edu/~arbogast/cam397/dawson_v2.pdf

  

  • example image

    

• Read Book

  

  • Options futures and other derivatives
  • statistical arbitrage review(최신걸로 읽기, google scholar)
    • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1404905
    • https://www.scirp.org/html/12-1501441_83611.htm
    • https://arxiv.org/abs/2106.04028

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Reference
https://www.youtube.com/watch?v=_n_RBXFT7Wc