Aug 19, 2017 · 25m · top-founders

756: Meet The 21 Year Old Who Runs His Own $5m Hedge Fund

Julian Marchese · 15m spoken Nathan Latka · 8m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of The Top, host Nathan Latka interviews 21-year-old hedge fund manager Julian Marchese about how he raised hundreds of thousands in operating capital as a teenager, the structure of his quantitative investment firm, and his algorithmic trading strategies.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 33.8% of the talking time here. How this is scored →

Nathan as informed peer 3.3 Guest teaching 2.3 Guest disagreement 1.7 Nathan pushing back 3.2
05100:0010:0020:001:32–4:19 · Nathan as informed peer 3/10 Discovering Trading and Early Media Exposure Nathan asks standard biographical questions exploring Julian's early interest in investing and media coverage. Julian provides smooth narrative answers about discovering futures trading via the movie Trading Places and gaining early press attention in Toronto.4:19–9:35 · Nathan as informed peer 5/10 Fund Structure and Raising Management Capital Nathan probes into fund mechanics, asking Julian how management company seed equity generates returns versus fund capital. Julian explains the GP/LP structure and 2-and-20 fee economics while Nathan clarifies definitions and asks pointed questions on operational costs.9:35–14:26 · Nathan as informed peer 4/10 Quantitative Strategies and Client Returns Nathan presses Julian to move past financial jargon and explain a concrete trade simply. Julian explains selling volatility insurance to market participants and illustrates returns by demonstrating how a one million dollar investment grew to 1.2 million.14:26–21:24 · Nathan as informed peer 6/10 Scrutinizing Investment Downside and Risk Models Nathan aggressively challenges Julian on what could cause his hedge fund to go bankrupt, openly stating his suspicion when Julian claims macro events like market crashes do not affect his uncorrelated portfolio. Julian firmly pushes back against Nathan's mischaracterization that he claims zero downside risk, explaining model alpha decay and statistical anomalies.21:24–25:10 · Nathan as informed peer 2/10 Promotional Break: GetLatka and Acuity Scheduling Following a sponsor read, Nathan moves through the standard Famous Five rapid-fire questions. Julian answers cooperatively with brief reflections on algorithmic trading and multi-strategy diversification.25:10–25:37 · Nathan as informed peer 0/10 Episode Conclusion and Next Episode Teaser Nathan delivers a closing solo summary of Julian's fund statistics and teasers for the next episode.1:32–4:19 · Guest teaching 2/10 Discovering Trading and Early Media Exposure Nathan asks standard biographical questions exploring Julian's early interest in investing and media coverage. Julian provides smooth narrative answers about discovering futures trading via the movie Trading Places and gaining early press attention in Toronto.4:19–9:35 · Guest teaching 3/10 Fund Structure and Raising Management Capital Nathan probes into fund mechanics, asking Julian how management company seed equity generates returns versus fund capital. Julian explains the GP/LP structure and 2-and-20 fee economics while Nathan clarifies definitions and asks pointed questions on operational costs.9:35–14:26 · Guest teaching 3/10 Quantitative Strategies and Client Returns Nathan presses Julian to move past financial jargon and explain a concrete trade simply. Julian explains selling volatility insurance to market participants and illustrates returns by demonstrating how a one million dollar investment grew to 1.2 million.14:26–21:24 · Guest teaching 5/10 Scrutinizing Investment Downside and Risk Models Nathan aggressively challenges Julian on what could cause his hedge fund to go bankrupt, openly stating his suspicion when Julian claims macro events like market crashes do not affect his uncorrelated portfolio. Julian firmly pushes back against Nathan's mischaracterization that he claims zero downside risk, explaining model alpha decay and statistical anomalies.21:24–25:10 · Guest teaching 1/10 Promotional Break: GetLatka and Acuity Scheduling Following a sponsor read, Nathan moves through the standard Famous Five rapid-fire questions. Julian answers cooperatively with brief reflections on algorithmic trading and multi-strategy diversification.25:10–25:37 · Guest teaching 0/10 Episode Conclusion and Next Episode Teaser Nathan delivers a closing solo summary of Julian's fund statistics and teasers for the next episode.1:32–4:19 · Guest disagreement 0/10 Discovering Trading and Early Media Exposure Nathan asks standard biographical questions exploring Julian's early interest in investing and media coverage. Julian provides smooth narrative answers about discovering futures trading via the movie Trading Places and gaining early press attention in Toronto.4:19–9:35 · Guest disagreement 1/10 Fund Structure and Raising Management Capital Nathan probes into fund mechanics, asking Julian how management company seed equity generates returns versus fund capital. Julian explains the GP/LP structure and 2-and-20 fee economics while Nathan clarifies definitions and asks pointed questions on operational costs.9:35–14:26 · Guest disagreement 2/10 Quantitative Strategies and Client Returns Nathan presses Julian to move past financial jargon and explain a concrete trade simply. Julian explains selling volatility insurance to market participants and illustrates returns by demonstrating how a one million dollar investment grew to 1.2 million.14:26–21:24 · Guest disagreement 7/10 Scrutinizing Investment Downside and Risk Models Nathan aggressively challenges Julian on what could cause his hedge fund to go bankrupt, openly stating his suspicion when Julian claims macro events like market crashes do not affect his uncorrelated portfolio. Julian firmly pushes back against Nathan's mischaracterization that he claims zero downside risk, explaining model alpha decay and statistical anomalies.21:24–25:10 · Guest disagreement 0/10 Promotional Break: GetLatka and Acuity Scheduling Following a sponsor read, Nathan moves through the standard Famous Five rapid-fire questions. Julian answers cooperatively with brief reflections on algorithmic trading and multi-strategy diversification.25:10–25:37 · Guest disagreement 0/10 Episode Conclusion and Next Episode Teaser Nathan delivers a closing solo summary of Julian's fund statistics and teasers for the next episode.1:32–4:19 · Nathan pushing back 1/10 Discovering Trading and Early Media Exposure Nathan asks standard biographical questions exploring Julian's early interest in investing and media coverage. Julian provides smooth narrative answers about discovering futures trading via the movie Trading Places and gaining early press attention in Toronto.4:19–9:35 · Nathan pushing back 4/10 Fund Structure and Raising Management Capital Nathan probes into fund mechanics, asking Julian how management company seed equity generates returns versus fund capital. Julian explains the GP/LP structure and 2-and-20 fee economics while Nathan clarifies definitions and asks pointed questions on operational costs.9:35–14:26 · Nathan pushing back 5/10 Quantitative Strategies and Client Returns Nathan presses Julian to move past financial jargon and explain a concrete trade simply. Julian explains selling volatility insurance to market participants and illustrates returns by demonstrating how a one million dollar investment grew to 1.2 million.14:26–21:24 · Nathan pushing back 8/10 Scrutinizing Investment Downside and Risk Models Nathan aggressively challenges Julian on what could cause his hedge fund to go bankrupt, openly stating his suspicion when Julian claims macro events like market crashes do not affect his uncorrelated portfolio. Julian firmly pushes back against Nathan's mischaracterization that he claims zero downside risk, explaining model alpha decay and statistical anomalies.21:24–25:10 · Nathan pushing back 1/10 Promotional Break: GetLatka and Acuity Scheduling Following a sponsor read, Nathan moves through the standard Famous Five rapid-fire questions. Julian answers cooperatively with brief reflections on algorithmic trading and multi-strategy diversification.25:10–25:37 · Nathan pushing back 0/10 Episode Conclusion and Next Episode Teaser Nathan delivers a closing solo summary of Julian's fund statistics and teasers for the next episode.

speaking balance: gold is Nathan, purple is the guest (3 minute bins)

0:00 · Nathan 54.9% · guest 45.1%0:00 · Nathan 54.9% · guest 45.1%3:00 · Nathan 12.9% · guest 87.1%3:00 · Nathan 12.9% · guest 87.1%6:00 · Nathan 23.3% · guest 76.7%6:00 · Nathan 23.3% · guest 76.7%9:00 · Nathan 19.2% · guest 80.8%9:00 · Nathan 19.2% · guest 80.8%12:00 · Nathan 27.6% · guest 72.4%12:00 · Nathan 27.6% · guest 72.4%15:00 · Nathan 19.1% · guest 80.9%15:00 · Nathan 19.1% · guest 80.9%18:00 · Nathan 36.8% · guest 63.2%18:00 · Nathan 36.8% · guest 63.2%21:00 · Nathan 78.5% · guest 21.5%21:00 · Nathan 78.5% · guest 21.5%24:00 · Nathan 31.8% · guest 68.2%24:00 · Nathan 31.8% · guest 68.2%
Sharpest disagreement ▶ 18:39 Julian rejects Nathan's claim that he promised no losses

Julian directly rejects Nathan's framing with sharp, declarative statements ('I literally told you', 'That's not what I said') after Nathan accuses him of pitching a risk-free investment.

Hardest push from Nathan ▶ 18:01 Nathan expresses suspicion over Julian's downside risk claims

Nathan explicitly challenges Julian's credibility, stating it makes him highly suspicious that Julian cannot articulate a clear market scenario where his fund underperforms.

Biggest teaching moment ▶ 19:32 Julian details quant risk mechanics and alpha failure

Julian patiently educates Nathan on quantitative methodology, differentiating between systemic macro shocks and actual model failure caused by statistical anomalies without predictive validity.

Nathan holds their own ▶ 16:47 Nathan catches an apparent contradiction regarding market volatility

Nathan presses Julian on an apparent contradiction, noting that Julian claims to profit by betting on volatility while simultaneously dismissing major volatility catalysts like Brexit.

the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Discovering Trading and Early Media Exposure 3201 Nathan asks standard biographical questions exploring Julian's early interest in investing and media coverage. Julian provides smooth narrative answers about discovering futures trading via the movie Trading Places and gaining early press attention in Toronto.
Fund Structure and Raising Management Capital 5314 Nathan probes into fund mechanics, asking Julian how management company seed equity generates returns versus fund capital. Julian explains the GP/LP structure and 2-and-20 fee economics while Nathan clarifies definitions and asks pointed questions on operational costs.
Quantitative Strategies and Client Returns 4325 Nathan presses Julian to move past financial jargon and explain a concrete trade simply. Julian explains selling volatility insurance to market participants and illustrates returns by demonstrating how a one million dollar investment grew to 1.2 million.
Scrutinizing Investment Downside and Risk Models 6578 Nathan aggressively challenges Julian on what could cause his hedge fund to go bankrupt, openly stating his suspicion when Julian claims macro events like market crashes do not affect his uncorrelated portfolio. Julian firmly pushes back against Nathan's mischaracterization that he claims zero downside risk, explaining model alpha decay and statistical anomalies.
Promotional Break: GetLatka and Acuity Scheduling 2101 Following a sponsor read, Nathan moves through the standard Famous Five rapid-fire questions. Julian answers cooperatively with brief reflections on algorithmic trading and multi-strategy diversification.
Episode Conclusion and Next Episode Teaser 0000 Nathan delivers a closing solo summary of Julian's fund statistics and teasers for the next episode.

Statements from this episode (8)

Assertion Not checkable as stated
Marchese: First fund investors came directly from Business Insider and media coverage
“My first few investors were just people that, you know, saw an article on Business Insider or saw one of my interviews and said, hey, that's a really great story. I'd love to learn more about what you do, and then, you know, one thing leads to a meeting, and t…”
Julian Marchese Aug 19, 2017 ▶ 3:58
Disclosure
Marchese: First investor gave $75K for 1% of management company
“She invested 75,000 dollars for one percent of my management company.”
Julian Marchese Aug 19, 2017 ▶ 5:46
Disclosure
Marchese has raised $675K for management company and $5M in SMAs
“So the management company, I've raised 675,000 dollars at about an average valuation of like four million bucks. And so I've raised about five million into a separately managed account program at this point, but we're looking to launch a fund later this year.”
Julian Marchese Aug 19, 2017 ▶ 6:10
Assertion Not checkable as stated
Marchese: Fund is up ~28% since October 2015 with uncorrelated returns
“So I've been managing money since October of 2015. I'm up about 28% since then with An uncorrelated return stream.”
Julian Marchese Aug 19, 2017 ▶ 9:44
Disclosure
Marchese: Firm runs quant multi-strategy holding positions for ~3 days
“So I run a quant multi-strategy shop. It's, we're not buying and holding. We're on average holding positions for, you know three days.”
Julian Marchese Aug 19, 2017 ▶ 10:10
Insight
Marchese: Shorting market volatility captures premium that beats market
“There's a really big premium over time of shorting that volatility, and you're basically, you're, you can beat the market just because of that, that insurance premium.”
Julian Marchese Aug 19, 2017 ▶ 11:41
Disclosure
Marchese claims a 10% market crash would not harm his fund
“We don't have beta exposure most of the time. Beta exposure meaning market exposure. So the stock market crashing 10% tomorrow doesn't really affect us. If anything, we may make money off of a move like that.”
Julian Marchese Aug 19, 2017 ▶ 16:36
Insight
Marchese: Running more than three trading strategies requires automation
“Cause you can only, a human can only run two or three strategies being focused in on it. But to run 20 or 30, that, that takes automation.”
Julian Marchese Aug 19, 2017 ▶ 24:42
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