TTU100: Being Transparent With Your Clients ft. Robert Sinnott of AlphaSimplex – 2of2
Top Traders Unplugged
Niels Kaastrup-Larsen
4.8 • 712 Ratings
🗓️ 19 April 2018
⏱️ 39 minutes
🧾️ Download transcript
Summary
In our continued conversation with Robert Sinnott, Katy Kaminski and I dive into why AlphaSimplex has been so successful, why Robert values transparency in his firm so highly, and what he advises for new and rising-star investors. He goes deep into what he is excited about and afraid of with managed futures, and what he’s looking forward to accomplishing with AlphaSimplex in the future.
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50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HERE
In This Episode, You’ll Learn:
- Why AlphaSimplex maintains a pure trend program
- What problems in the trend following space Robert hopes to solve
- The challenges that AlphaSimplex deals with on a regular basis
- What factors have given AlphaSimplex its success
- Why Robert holds transparency in such high regard
- How the models Robert uses employ smart long-term and short-term assessment and why
- When your size as a firm hurts your performance
- What about managed futures makes Robert the most excited
- The things about managed futures that keep Robert up at night
- Why the models you are reading about are wrong
- Robert’s advice for young and rising star investors
- Why Robert believes the right question can often more important than the answer
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Resources & Links Mentioned in this Episode:
- Learn more about Joe Blitzstein’s “Introduction to Probability”
- Find out more about my co-host Katy Kaminski’s “Trend Following with Managed Futures: The Search for Crisis Alpha”
Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.
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And you can get a free copy of my latest book “Ten Reasons to Add Trend Following to Your Portfolio” here.
Learn more about the Trend Barometer here.
Send your questions to info@toptradersunplugged.com
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2. Daily Trend Barometer and Market Score
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3. Other Resources that can help you
And if you are hungry for more useful resources from the trend following world...check out some precious resources that I have found over the years to be really valuable. Click Here
Transcript
Click on a timestamp to play from that location
| 0:00.0 | I think that managed futures continues to go through this constant evolution where new edges, new ideas, new behaviors of markets come out. |
| 0:13.0 | And that is the whole game. That is what wakes you up in the morning. That is what's challenging, that is what gives you ulcers at night. |
| 0:25.7 | It's how are the market participants causing that aggregate macro behavior to change. |
| 0:30.6 | And that ever-newness is what makes this industry interesting. |
| 0:36.9 | Welcome back to Top Traders Unplugged, where the best traders in the world come to share their experiences, |
| 0:38.2 | their successes, and their failures. Before we begin today's conversation, remember to keep two |
| 0:43.4 | things in mind. All the discussion we'll have about investment performance is about the past, |
| 0:48.3 | and past performance does not guarantee or even infer anything about future performance. |
| 0:53.5 | Also understand that there's a significant |
| 0:55.3 | risk of financial loss with all investment strategies, and you need to request and understand |
| 1:00.3 | the specific risks from the investment manager about their products before you make investment |
| 1:04.8 | decisions. Now let's rejoin the conversation with your host, veteran hedge fund manager, |
| 1:10.1 | Neil's Kastra Blercson. |
| 1:12.5 | Questions slash observations, which you may or may not agree with. So first was just a question. |
| 1:21.3 | So do you use machine learning, you know, throughout the program? I mean, would you say it's a |
| 1:26.7 | machine learning trend following strategy is, you know, throughout the program? I mean, would you say it's a machine learning, |
| 1:28.6 | trend following strategy, you know? No, I wouldn't. We have a portion of our portfolio, |
| 1:35.7 | about 40% of the risk of the portfolio are in machine learning, or at least partially informed |
| 1:41.9 | with my machine learning. And to be specific, what I'm saying is 40% of our portfolio is composed of trend signals |
| 1:49.2 | that are then differentially weighted based on the outputs of these machine learning tools. |
| 1:57.0 | And I should again say that these machine learning tools are not neural networks. |
| 2:01.4 | They are things like decision trees. |
... |
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