Quant trader Scott Phillips argues crypto remains rich in edge because it is full of inefficiency, sticky capital, crime, fragmented venues, and price-insensitive participants. He says simple trend, momentum, carry, and mean-reversion systems can still work well, especially in mid-frequency and in lower-quality corners of the market, and he frames Hyperliquid/Hyper Trend as infrastructure to package and scale those edges.
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This conversation is a long-form interview with Scott Phillips of Hyper Trend / Hyperliquid trading. The core thesis is that crypto is still “the dumbest market” in the sense that it contains unusually exploitable inefficiencies: uneven counterparty quality, sticky capital, bridge/friction issues, thin liquidity in small coins, VC exits, exchange-specific quirks, and frequent crime/hacks. Phillips repeatedly emphasizes that in crypto, unlike in mature TradFi markets, simple rules can generate very high Sharpe ratios at small-to-mid scale. He describes several classes of edges: risk-premium edges and market-inefficiency edges. He says trend following, momentum, carry, and mean reversion all work in crypto, often better than in stocks, and claims that combining them can produce a portfolio with roughly Sharpe 2 or better. …
Tactically, the best opportunities appear to be in fragmented crypto venues and small-cap dislocations where funding, listings, or positioning create temporary imbalances. Watch counterparty risk and fee/slippage effects closely, because the easiest-looking edges are the ones most likely to blow up first.
Over the next few months, the base case is that blended systematic crypto strategies—momentum, carry, trend, and mean reversion—keep working if execution is strong and capital stays nimble. The setup weakens if venue efficiency rises sharply or if the best venues become too crowded to preserve the edge.
Structurally, the transcript argues that crypto remains a permanent hunting ground for quants because its incentives, leverage, and weak plumbing keep generating mispricing. If that regime persists, the durable winners will be the teams that combine good signals with excellent execution and tight risk control.
If a crypto trader is not reaching at least a Sharpe ratio of 2, they are not very good; even a retail trader without automation can realistically target around 1.5.
This is Phillips’s explicit benchmark for competence in crypto trading.
Crypto has two main types of edge: risk-premium edges and market-inefficiency edges.
This is his explicit framework for where returns come from.
In normal markets trend following rarely gets above a Sharpe of 0.2, but crypto can support much stronger simple trend and momentum systems.
He contrasts traditional markets with crypto to argue crypto is more exploitable.
How is there still edge in crypto given that everyone is talking about it?
There are two types of edges: risk premium edges and market inefficiency edges. Crypto markets remain inefficient because most participants don't have an exit plan (capital is 'one-way'), capital is siloed across different chains with risky bridging, and most participants are unsophisticated retail rather than elite quantitative traders.
How do you get your ideas for signal selection and signal generation for crypto?
Why is table selection so important for trading?
Competing against elite institutional traders in traditional markets (S&P, ENQ futures) is extremely difficult with low Sharpe ratios (0.2 for trend following). In crypto, the counterparties are unsophisticated retail traders ('muppets with ape profile pictures'), making it much easier to find and exploit edges. Smart quants compete in the 'smart guy Olympics' in traditional markets, while crypto counterparties are weak.
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