Billion Dollar Algorithms
LaronThis is a podcast documenting the journey of starting a quantitative hedge fund from scratch. The host, Laron, is a young ambitious engineer who managed to develop successful trading algorithms and is looking to take them to the next level. Follow along to hear stories from an industry outsider trying to navigate the complex world of financial markets to make it in the big leagues.
| Publishes | Monthly | Episodes | 12 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Categories | BusinessInvesting | ||||
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Latest Episodes
In this episode Laron details the responses from hedgefunds, and what questions they asked about his performance before considering using his algorithms. Have you ever considered licensing your algorithms to hedgefunds? It could be a good way to earn... more
Have you ever considered licensing your algorithms to hedgefunds? It could be a good way to earn additional money, and in Laron's case learn how hedgefunds operate before he starts his own. In this episode Laron details how he came up with that idea,... more
In this episode Laron shares how he manages his portfolio of algorithms and his PhD requirements. Finding time to develop and manage algorithms can be very challenging, given our current obligations and schedule. But if it's important, you'll find th... more
Having a track record to show investors is an important part to getting funded. In this episode I talk about what investors are looking for in a track record, my track record, and my next steps with my algorithmic portfolio.
Consider connecting wit... more
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Reviews
- Inspiring yet applicable and actionable steps
As someone who is a trader, I came across this podcast to learn more about algo trading. Very informative and insightful to hear the journey so far. Have learned quite a bit and started diving into trading more
Apple Podcasts5Mcstrickland5
United States3 years ago
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Apple Podcasts | #31 |  India/Business/Investing |
Apple Podcasts | #125 | India/Business |
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Billion Dollar Algorithms launched 4 years ago and published 12 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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