Jun 2, 2022 · 1h 1m · capital-allocators
Leigh Drogen – Quantamental Approach to Crypto at Starkiller Capital (Manager Meeting, EP.32)
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of Manager Meetings, host Ted Seides interviews Leigh Drogen, CIO of Starkiller Capital, exploring his journey from quantitative equity hedge funds and founding Estimize to running a quantamental digital asset fund that blends quantitative trend-following, on-chain fundamental research, and active downside hedging.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 17.8% of the talking time here. How this is scored →
Ted as informed peer 4.0 Guest teaching 5.5 Guest disagreement 2.7 Ted pushing back 1.5
speaking balance: gold is Ted, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 29:35 Calling protocol forecasters full of shit
Leigh bluntly dismisses the idea that liquid fund managers can fundamentally predict long-term winning protocols, stating anyone claiming otherwise is full of shit.
Hardest push from Ted ▶ 20:38 Ted challenging PM workflows across multi-manager platformsTed pushes back on Leigh's critique of discretionary funds by questioning whether pod shops with rigid centralized risk overlays manage factor data more effectively.
Biggest teaching moment ▶ 48:15 The midwit distribution in early-stage asset evaluationLeigh breaks down the midwit meme to illustrate why overly intellectualized cynicism prevents investors from capturing 100x asymmetric returns in novel technologies.
Ted holds their own ▶ 20:38 Ted contrasting sole PM discretion with multi-pod risk systemsTed displays deep institutional hedge fund knowledge by delineating how multi-manager platforms separate fundamental stock selection from quantitative risk overlays.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Ted as informed peer | Guest teaching | Guest disagreement | Ted pushing back | Why |
|---|---|---|---|---|---|---|
| Leigh Drogen's Background and The Geller Capital Box Test | 3 | 5 | 2 | 1 | Ted prompts Leigh to share his unusual career trajectory, beginning with behavioral economics and the internship interview at Geller Capital involving an unfolded packing box test. Leigh explains how failing to assemble the box and asking for help was the exact behavioral disposition sought by the quant fund. | |
| Early Fund Management and Joining StockTwits | 4 | 4 | 2 | 1 | Ted demonstrates industry familiarity by comparing StockTwits to early retail trading environments like Robinhood. Leigh contrasts running a rigid quant process at Geller with operating in an unstructured startup environment exposed to market sentiment. | |
| Founding Estimize to Harness the Wisdom of Crowds | 3 | 5 | 1 | 1 | Leigh explains how Estimize was conceptualized by applying James Surowiecki's wisdom of crowds framework to structured earnings estimates. Ted listens as Leigh recounts convincing hedge funds to contribute data during the early chicken-and-egg phase. | |
| How Hedge Funds Use Alternative Data and Manage Factor Risk | 6 | 6 | 4 | 3 | Ted presses Leigh on the structural differences between discretionary single-manager funds and multi-manager pods. Leigh criticizes discretionary PMs for confirmation bias when utilizing alternative data and categorizes equity long/short managers as gunslingers gambling with market beta. | |
| Early Bitcoin Thesis and Lessons from Micro Forecast Errors | 3 | 5 | 2 | 1 | Leigh candidly admits that while his broad macro thesis on Bitcoin in 2013 and 2015 was correct, nearly all of his specific micro forecasts—such as Bitcoin replacing fiat as a global reserve currency—turned out completely wrong. | |
| Ethereum Programmability and Quantitative Trend Modeling in Crypto | 4 | 7 | 5 | 2 | Leigh rejects the claim that anyone can predict specific long-term winners among crypto protocols, calling those who claim to do so 'full of shit' unless they are seed-stage kingmakers. He explains how momentum trend-following solves the lack of intrinsic valuation anchors. | |
| Sponsor Message: Ridgeline Front-to-Back Investment Technology | 3 | 4 | 1 | 1 | The segment includes a sponsor read for Ridgeline followed by Ted questioning how Leigh filters the vast investable crypto universe. Leigh outlines their quantitative criteria and liquidity requirements across roughly 350 eligible tokens. | |
| Liquid Token Markets vs Early-Stage Venture Capital Models | 5 | 6 | 3 | 2 | Ted probes into model duration and strategy evolution. Leigh explains that institutional allocators cannot tolerate 80% drawdowns, drawing parallels between liquid tokens and 1995-era tech venture capital while citing Cliff Asness on smoothed private equity volatility. | |
| Integrating Real-Time On-Chain Data with Startup Diligence | 4 | 6 | 2 | 1 | Leigh explains how Starkiller integrates real-time on-chain fundamental telemetry—like active transactions and total value locked—with startup venture analysis, code audits, and founder commitment checks to weed out fraudulent projects. | |
| Hedging Strategies, Drawdown Mitigation, and Re-Entry Execution | 5 | 6 | 2 | 2 | Ted asks how Starkiller navigates turning points and re-entry execution. Leigh explains that their ensemble of momentum models is designed to exit systematically just after market peaks using perpetual futures hedges, accepting short-term shakeouts at market bottoms. | |
| Team Specialization, Inquisitiveness, and Avoiding the Midwit Trap | 4 | 7 | 4 | 1 | Leigh explains his firm's research philosophy, warning against falling into the 'midwit trap'—intellectualizing reasons why emerging technologies will fail instead of identifying the small percentage of asymmetric winners. | |
| Hands-On Learning and The Long-Term Macro Vision for Digital Assets | 4 | 6 | 4 | 2 | Leigh strongly rejects techno-libertarian dogma framing crypto as a global reserve currency, asserting instead that crypto's genuine long-term value lies in providing transparent, auditable leverage and programmable financial infrastructure. | |
| Structural Headwinds in Equities and Opportunity in Crypto Inefficiency | 4 | 5 | 3 | 1 | Leigh notes an institutional exodus from saturated equity hedge fund strategies toward inefficient crypto markets where nimble mid-sized funds can exploit massive structural mispricings. |
Statements from this episode (28)
Drogen: Estimize converted 25% to 30% of early institutional targets
“We got roughly 25, 30% of the people that we approached to participate, which is a pretty high ratio for something that's new.”
Drogen: Discretionary hedge funds misuse alternative data to confirm pre-existing biases
“The discretionary hedge fund world still is basically spinning in circles, trying to figure out the relationship between analyzing a data set and using whatever analysis comes out of that data. And they are still woefully I would say misguided on one basic lev…”
Drogen: Most long/short equity hedge funds gamble with beta, not alpha
“The biggest thing that coming into this world, even being a Geller, That I learned at Estimize in talking to so many of these firms about their process for generating trading ideas and fundamental estimates and all of this stuff is really that at the end of th…”
Drogen: Markets discount two to five years out, not a decade
“And they're not really discounting a decade out, but they are discounting two, three, four or five years out.”
Drogen: Bitcoin is an investable global digital religion and Ponzi scheme
“This stuff was just religious proselytization as a financial asset. Like if you could own a digital religion, would you want to? Yes, absolutely. The first global digital religion that is basically a Ponzi scheme But you can own it. And that seems like a great…”
Drogen: Bitcoin is poorly designed for broader internet use cases
“And if you look at what Bitcoin is, it's a good first crack at solving a pretty fundamental technology problem, but it's not actually designed very well for all of the things that even the earliest people on the internet wanted to be able to do.”
Drogen: Anyone claiming to know which crypto tech wins is lying
“My hypothesis here in this entire technology ecosystem, and this goes back to the mistakes that I made in 13 and 15, is I don't think anybody understands which one of these technologies is going to win long term. And if they tell you they do, I think they're f…”
Drogen: Dixon and Wilson build winning crypto tech rather than predict it
“There are a couple of people out there like Chris Dixon at Andreessen Horowitz, Fred Wilson at Union Square Ventures that they're making these things. But anybody else, I don't think any of us knows which one is going to win long term.”
Drogen: Quantitative trend models beat cap-weighted crypto benchmarks
“When we looked, both of those models were wildly successful at beating a market cap weighted benchmark of the top five coins.”
Drogen: Starkiller's investable crypto universe is constrained to 350-400 coins
“Our universe that we can really touch in any significant way is something like 354 hundred coins today. That's growing pretty quickly because the liquidity is growing relatively quickly.”
Drogen: Starkiller is building a systematic, high-velocity 'shitcoin' trading strategy
“Interestingly, we're actually working on a completely separate shitcoin trading strategy that is fully systematic, that is much more high velocity than the core strategy that we run. It's exactly what you think it is. It's tied directly to just volume spikes o…”
Drogen: Institutional allocators cannot survive an 80% crypto drawdown
“So it's just no pension fund, no, no big asset management firm can suffer a 80% drawdown and live to tell that tale. Just not going to happen with their LPs.”
Drogen: Unlike equities, crypto tokens reach liquidity in 12 to 18 months
“Unlike equity markets where companies will stay private for five, six, seven, 10 years in crypto, like the token might be liquid a year or a year and a half after you invest in it.”
Drogen: Liquid crypto token quality is worse than dot-com bubble equities
“Now, unlike the public equity markets back then, even through the tech bubble, where there was a lot of shenanigans and bad companies that went public, it's not even close to the number of terrible projects and things that are tokens today. Like the percentage…”
Drogen: Ethereum remains an experiment that might not prove scalable
“Even Ethereum is still an experiment. It may not be scalable.”
Drogen: Tech startups rarely reach escape velocity after lasting growth dips
“There are very, very, very few examples of technology startups that go through a significant and lasting dip In the fundamentals, the growth of whatever they're trying to do, and then recover to escape velocity later. Inherently startups either do it or they d…”
Drogen: Starkiller's quantitative models exit after market tops, not before
“Now, our models are not designed to get out before the top. They're inherently designed to get out on the other side of the top because of the momentum characteristics of the market, these bull markets, these adoption cycles can go on way longer than we'll exp…”
Drogen: Starkiller hedges beta using Bitcoin and Ethereum perpetual futures
“And what usually happens is we'll hedge with some super liquid assets that we can do very cheaply, specifically perpetual futures contracts in Ethereum, Bitcoin, and a couple others.”
Drogen: Starkiller steps back into crypto markets over one to two weeks
“And so what we try and do is we try and look at all of these in conjunction and we do try and step back in, but our timeframes are not stepping back in over the course of two months. It's stepping back in over the course of A week or two.”
Drogen: Starkiller runs continuous yield farming across all portfolio assets
“We also, on top of the beta portfolio, we run yield farming strategies on all of our assets at all times.”
Drogen: Crypto alpha concentrates in annoying, high-friction tasks like wallet setup
“The most alpha is usually found in the things that are annoying and hardest to do. Meaning if you have to set up a new wallet, if you got to get on some new exchange, if you got to learn some new protocol.”
Drogen: Crypto investors must avoid cynical 'midwit' overanalysis to succeed
“The goal in crypto is simply don't be the midwit. That's it. Just don't be the midwit, because there are a million reasons why a marginally smart person would look at all of this stuff and say, that's ridiculous. That that is never going to work. That there's …”
Drogen: Traders accustomed to small daily swings cannot survive crypto volatility
“As a trader, you have to completely reframe your own emotions relative to vol, because this market, it's insane in terms of the amount of vol, and if you're used to your portfolio swinging around one or two percent a day, like, you are not gonna make it here.”
Drogen: Bitcoin will not become a global reserve currency or inflation hedge
“The techno libertarians who felt that this could be a new global reserve currency, that it was an inflation hedge, that you could extricate yourself from holding fiat government currency and things like that. I think a lot of people drank that Kool-Aid, and it…”
Drogen: Financial transactions and leverage will likely move on-chain within decades
“This is a 10, 15, 20, 30 year kind of out thing. We need to get to the point where this technology is scalable enough to be able to handle transactions at a much faster rate. But it looks like, based on these adoption curves, we will get there eventually, and …”
Drogen: Crypto liquidity caps funds at $1B; cannot support $10B funds
“Whereas in crypto, because of the limited liquidity these days, you can run a 500 to billion dollar liquidly traded crypto firm Pretty well in an inefficient market. You may not be able to run a ten billion dollar firm these days there, which is why you may no…”
Drogen: Investors claiming to consistently outsmart the market are merely lucky
“When people believe that that's the case, I sit there and I just look at survivorship bias and say, the only people who are still around saying that are basically the lucky ones.”
Drogen: Starkiller models its investment approach on AQR and Tiger Global
“We try and pattern ourselves off of some mix of AQR and Tiger Global, and I think he's done it right, and he's taken his lumps along the way sometimes, but Times like this, he gets to come back and say, Hey, look, you know, the process works.”