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The Gold Collar Investor

Dec 8, 2021

In today’s show, Pancham interviews Stefan Tsvetkov - founder of RealtyQuant, multifamily investor, analytics speaker, and live webinar host.

Achieving financial independence is a natural goal for real estate investors but for Stefan, making more equity was his stepping stone to start his own company and make his own investments! With his financial engineering background, he was able to provide value in the real estate industry through data analytics, technology, and quantitative techniques!

In this episode, learn how data can be the key to successful investments as he shares the concept of data-driven investing. He’ll also share his analytical skills as he breaks down the data-driven system for investing, how you can see and predict the valuation of the properties, and how analyzing the market is very useful.

Listen and enjoy the show!



“I’ve been very happy to be able to do that and be able to transition to a new field and being a private investor and being an entrepreneur. I quite like the dynamic versus working for income.”

Timestamped Shownotes:

  • 0:41 - Pancham introduces Stefan to the show
  • 1:49 - His natural transition from financial engineering to real estate investing
  • 9:08 - Data-driven investing and being more than just figures
  • 13:35 - The benefit of using Automated Valuation Model when investing
  • 16:10 - How data analysis helps identify potentially good investments
  • 20:14 - Market analysis and why its data is very significant
  • 25:37 - The best-performing markets to look out for based on market analytics
  • 31:44 - Taking the Leap Round
  • 31:44 - His 1st alternative investment outside of Wall Street
  • 32:57 - Overcoming his fear by studying each investment details
  • 33:58 - How his property investment didn’t go as expected
  • 34:33 - Why investors should understand the investments and its market evaluation
  • 36:26 - How you can enroll in his Data-driven Real Estate Investing Course

3 Key Points:

  1. Data-driven investing is a system that imports data into quantitative methods and is able to pull big amounts of data to process and that can be analyzed.
  2. By collecting these numbers and being able to do the algorithm for data-driven investing, you can now have an estimate and track whether it has good valuation and value-add.
  3. Analyzing the market is driven by real estate fundamentals such as income, housing supply, and operations. Thus, knowing and comparing the data from different states helps.

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