Philip Trinder Profile Picture
  • Education University of Houston; University of Texas at Austin
  • Qualifications MBA in Finance; BBA in Finance
  • Investment Experience 18+ Years
  • Founded 2008
  • Website http://mlpprotocol.com
  • Twitter http://www.twitter.com/M…
  • 4020 Marlowe
  • Houston
  • Texas
  • 77005

Philip Trinder

Individual Investor

I am an individual investor with over 15 years of corporate finance and structuring experience.

As a senior energy industry investment banker at First Union / Wachovia from 1995 to 2008, I covered a broad spectrum of products including direct equity investments, initial public offerings (IPOs), equity-linked securities, private equity, public bonds, and loan syndications.

During my investment banking career, I experienced the growth of master limited partnerships (MLPs) first hand and worked on hundreds of corporate finance transactions. I founded MLP Protocol in 2008 to focus on MLP investments.

Investment style

I employ a top-down, fundamentally based approach with a focus on the publicly traded MLPs.

Investment models

  • Philip Trinder MLP Protocol Sprint

    See full details
    • Allocation Strategy Long-Short
    • Approach Fundamental
    • Asset Class Other Asset Class
    • Geography Global
    • Style Yield
    Performance
    • 2.6%
      90 day
    • 45.4%
      S.I.
    Avg. Sub.
    • 2.1%
      90 day
    Monthly vs S&P500
    philip trinder - mlp protocol sprint
    21.4% S.I.
    5
    1.5% fee
Important Information

1. Performance of the model manager’s account is calculated by Covestor on a daily time-weighted basis, including cash and broker commissions. More

2. Past performance is no guarantee of future results. Periodic and since inception performance returns are calculated daily. Monthly vs. S&P 500 return and the corresponding spark chart is calculated to the most recent month end date.

3. The subscription minimum is the minimum subscription required to follow a particular model. The minimum amount is determined by Covestor, based on the characteristics of the underlying model. It should not be considered as specific investment advice for your investment situation.