Interest in quantitative investing strategies continues to grow; however, as the space gets more competitive, making money and winning gets harder and harder. Computation costs alone can be prohibitive. On the latest episode, we speak with Columbia Business School professor Ciamac Moallemi about how the world's best quant funds thrive.

Interest in quantitative investing strategies continues to grow; however, as the space gets more competitive, making money and winning gets harder and harder. Computation costs alone can be prohibitive. On the latest episode, we speak with Columbia Business School professor Ciamac Moallemi about how the world's best quant funds thrive.

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday, Thursday, and Friday

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday, Thursday, and Friday

Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation for interviews with the most interesting minds in finance, economics and markets.

Odd Lots

On Bloomberg’s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday, Thursday, and Friday.

On Bloomberg&rsquo;s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday, Thursday, and Friday.

What It Takes To Win At Quant Investing

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/4d42bbd6-a20d-4cc9-8c0a-ae27004a9954/transcript

Traders and market watchers around the world started talking about a crypto platform called Hyperliquid earlier this year, when speculators used markets built on top of it to trade crude oil after war broke out in Iran. What Hyperliquid allowed for was a 24/7 market on the blockchain. Then in August, President Trump said the CFTC was working on bringing “Hyperliquid into the United States in a fully compliant and legal fashion.” Hyperliquid currently operates outside the US, but that hasn't stopped it from growing prodigiously in the last year. Jeff Yan, CEO and co-founder of Hyperliquid Labs, joins us today to explain how exactly the platform works: He walks us through the protocol he and his co-founders built, the ecology of actors and assets that are tied to Hyperliquid (like the platform's cryptocurrency HYPE), how perps are bought and sold on the platform, he explains what a blockchain oracle is, and he discusses what has to happen for Hyperliquid to start operating in the US.

Read more:
Strategy’s Saylor Sees Bitcoin Moving Back Up Beyond $100,000
A $90 Million Spyware Hack Sparks Review of Crypto Wallet Sales

Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at  bloomberg.com/subscriptions/oddlots

Subscribe to the Odd Lots Newsletter
Join the conversation:discord.gg/oddlots

Traders and market watchers around the world started talking about a crypto platform called Hyperliquid earlier this year, when speculators used markets built on top of it to trade crude oil after war broke out in Iran. What Hyperliquid allowed for was a 24/7 market on the blockchain. Then in August, President Trump said the CFTC was working on bringing &ldquo;Hyperliquid into the United States in a fully compliant and legal fashion.&rdquo; Hyperliquid currently operates outside the US, but that hasn't stopped it from growing prodigiously in the last year. Jeff Yan, CEO and co-founder of Hyperliquid Labs, joins us today to explain how exactly the platform works: He walks us through the protocol he and his co-founders built, the ecology of actors and assets that are tied to Hyperliquid (like the platform's cryptocurrency HYPE), how perps are bought and sold on the platform, he explains what a blockchain oracle is, and he discusses what has to happen for Hyperliquid to start operating in the US.
Read more: <a href="https://www.bloomberg.com/news/articles/2026-10-13/strategy-s-saylor-sees-bitcoin-moving-back-up-beyond-100-000?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">Strategy&rsquo;s Saylor Sees Bitcoin Moving Back Up Beyond $100,000</a> <a href="https://www.bloomberg.com/news/articles/2026-10-13/ledger-to-review-sale-policies-after-crypto-spyware-attack?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">A $90 Million Spyware Hack Sparks Review of Crypto Wallet Sales</a>
Only <a href="http://Bloomberg.com" data-inline-card="" data-card-data="">http://Bloomberg.com</a> subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at&nbsp; <a href="https://www.bloomberg.com/subscriptions/oddlots?in_source=oddlotspodcast" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">bloomberg.com/subscriptions/oddlots</a>
<a href="http://bloomberg.com/subscriptions/oddlots" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">Subscribe to the Odd Lots Newsletter</a> Join the conversation: <a href="https://discord.gg/oddlots" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">discord.gg/oddlots</a>

Jeff Yan's Plan to Bring the Entire Financial Industry Onto Hyperliquid

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/b143850e-7e8f-4144-8299-b4e30171ca7d/transcript

Since the Hugging Face incident, concerns over AI doomsday scenarios has entered the mainstream. But of course, some people have been warning about this for years, long before LLMs or ChatGPT. In their 2025 book If Anyone Builds It, Everyone Dies, Nate Soares and Eliezer Yudkowsky spelled out their vision of humanity's inevitable demise once superintelligent AI is built. In this episode, we speak with Soares, who serves as president of the Machine Intelligence Research Institute, about why he believes it's impossible to "align" superintelligent AI, and how exactly the technology can and will go rogue as it gets more and more advanced.

Read more:
Anthropic IPO Investors Struggle to Put a Price on Rogue AI Risk
AI Bubble Risks Worst S&P 500 Crash Since 2008, Strategist Says

Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at  bloomberg.com/subscriptions/oddlots

Subscribe to the Odd Lots Newsletter
Join the conversation:discord.gg/oddlots

Since the Hugging Face incident, concerns over AI doomsday scenarios has entered the mainstream. But of course, some people have been warning about this for years, long before LLMs or ChatGPT. In their 2025 book If Anyone Builds It, Everyone Dies, Nate Soares and Eliezer Yudkowsky spelled out their vision of humanity's inevitable demise once superintelligent AI is built. In this episode, we speak with Soares, who serves as president of the Machine Intelligence Research Institute, about why he believes it's impossible to "align" superintelligent AI, and how exactly the technology can and will go rogue as it gets more and more advanced.
Read more: <a href="https://www.bloomberg.com/news/articles/2026-10-08/anthropic-ipo-investors-struggle-to-put-a-price-on-rogue-ai-risk?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">Anthropic IPO Investors Struggle to Put a Price on Rogue AI Risk</a> <a href="https://www.bloomberg.com/news/articles/2026-10-08/ai-bubble-risks-worst-s-p-500-crash-since-2008-strategist-says?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">AI Bubble Risks Worst S&amp;P 500 Crash Since 2008, Strategist Says</a>
Only <a href="http://Bloomberg.com" data-inline-card="" data-card-data="">http://Bloomberg.com</a> subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at&nbsp; <a href="https://www.bloomberg.com/subscriptions/oddlots?in_source=oddlotspodcast" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">bloomberg.com/subscriptions/oddlots</a>
<a href="http://bloomberg.com/subscriptions/oddlots" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">Subscribe to the Odd Lots Newsletter</a> Join the conversation: <a href="https://discord.gg/oddlots" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">discord.gg/oddlots</a>

Nate Soares on How AI Really Could Kill Us All

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/f6fd1a43-7c77-47c2-ae42-b4e0016e2d9b/transcript

Last month, OpenAI announced that it had produced an AI-generated proof for the Navier-Stokes problem, one of the most famous unsolved questions in mathematics. LLMs used to be bad at counting, but now they are solving math problems that have stumped humans for decades. Meanwhile, at universities, the problem of AI in education continues: Now that LLMs can do a student's homework, teachers are struggling to keep up. It is clear that AI is very quickly changing how math is taught and how it is practiced by professionals. On this episode, Justin Solomon, who is the associate dean for engineering education at MIT, gives us a primer on how mathematicians (both pure and applied) are responding to all the advances in AI. He also explains what exactly the Navier-Stokes problem is and why the OpenAI proof is hard for even the pros to parse, what movies get wrong about how mathematicians do their jobs, and how he's changing his pedagogical approach in the age of AI.

See Odd Lots live in Chicago! Tickets on sale here

Last month, OpenAI announced that it had produced an AI-generated proof for the Navier-Stokes problem, one of the most famous unsolved questions in mathematics. LLMs used to be bad at counting, but now they are solving math problems that have stumped humans for decades. Meanwhile, at universities, the problem of AI in education continues: Now that LLMs can do a student's homework, teachers are struggling to keep up. It is clear that AI is very quickly changing how math is taught and how it is practiced by professionals. On this episode, Justin Solomon, who is the associate dean for engineering education at MIT, gives us a primer on how mathematicians (both pure and applied) are responding to all the advances in AI. He also explains what exactly the Navier-Stokes problem is and why the OpenAI proof is hard for even the pros to parse, what movies get wrong about how mathematicians do their jobs, and how he's changing his pedagogical approach in the age of AI. See Odd Lots live in Chicago! <a href="https://events.bloombergevents.com/event/OddLotsLiveChicago/summary">Tickets on sale here</a>

How AI Is Upending the World of Mathematics

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/f49c2ca3-dfe7-4a67-bc11-b4dd01463f66/transcript

What It Takes To Win At Quant Investing

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