Finding The Next Perfect Trade | Alex Gurevich

Episode Summary

Executive Summary: Alex Guravich discusses his revised book on “the next perfect trade,” emphasizing a strategic, multi-horizon approach to markets: identify trades that can work now or later, prefer simplicity over exotic structures, and manage risk at the portfolio level rather than through rigid stop-losses. He sees a likely disinflationary path ahead, is bullish on long-dated Treasuries and Japan-related trades, and believes AI will increasingly augment or outperform discretionary trading.

Main Topics: The revised thesis of 'The Next Perfect Trade' (Priority: 5/5): Guravich explains that the new edition preserves the original 2015 principles while adding commentary on how they performed over the last decade, reducing hindsight bias and testing the framework against real market evolution. Strategy over prediction: what makes a trade ‘good’ (Priority: 5/5): He frames trading as selecting trades with favorable ex-ante characteristics, rather than trying to predict direction perfectly. The emphasis is on strategic setup, resilience across scenarios, and holding periods that can capture both immediate and delayed payoffs. Regime shift in macro markets and bond-market breakdown (Priority: 5/5): The guest reflects on the breakdown of the long secular bond bull market and admits he missed the implications of the 2020 rupture in the long-term bond trend channel, which should have signaled a new regime. Concurrent necessity and trade expression across asset classes (Priority: 4/5): A central framework is asking what else must happen if a macro view is right. This helps decide whether to express a thesis through rates, currencies, metals, or equities and reduces reliance on any single market expression. Simplicity, options, carry, and risk management (Priority: 5/5): Guravich argues against overcomplicated structures and mechanical stop-losses, favoring simple positions, selective use of options for risk control, and portfolio-level risk management over trade-by-trade rigidity. AI, singularity, and the future of discretionary macro (Priority: 4/5): He believes AI’s power is already undeniable and will eventually outperform human discretionary analysis, but argues that traders can respond by augmenting themselves with AI and holding valuable portfolios that AI may later buy. Macro outlook: rates, disinflation, and Japan (Priority: 5/5): He is increasingly constructive on Treasuries and sees a nontrivial chance of U.S. front-end rates moving back toward zero if job markets weaken and disinflation accelerates. Japan is presented as a cleaner example of concurrent necessity, policy response, and currency dynamics.

Key Arguments: A good trade is defined by its ex-ante characteristics and robustness across scenarios, not by perfectly predicting the market. The revised book is designed to test the original 2015 principles against actual outcomes, exposing where his own framework succeeded or failed. The multi-decade bond bull market ended when the long channel broke in 2020; this marked a major macro regime change. Concurrent necessity helps determine the right instrument: if one macro factor changes, what else must also change, and which asset best captures that chain? Simple trades are often superior because each added layer increases the chance of being directionally right but still losing money. Options should be used when they meaningfully improve risk management, especially when a large vanilla position would be dangerous. Carry matters, but it is only one variable among trend, valuation, and macro context; negative carry can be worth paying if the structural thesis is strong. AI will increasingly reduce the value of unaugmented human judgment and may eventually become the dominant analytic layer in markets. Long-duration macro trades can remain useful because they are less correlated with short-horizon systematic strategies and may benefit as AI identifies the same value later. The U.S. may be entering a disinflationary environment despite sticky inflation fears, making long Treasuries and lower front-end rates attractive. Japan offers a clearer example of how policy, yields, currency, and inflation interact under the concurrent necessity framework.

Data Points: Years since original book: ~10 years - The revised edition updates principles first laid out around 2014–2015. Wall Street career: Years at JPMorgan Chase and predecessors - Guravich describes a long macro trading career, especially at JPMorgan Chase. AI timeline belief: ~10 years ago skepticism ended - He says he started laughing at AI skepticism nearly a decade ago. Turning point for AI belief: 2016 - He cites AlphaGo and Zero engines as the key moment he recognized AI’s creative capability. Bond bull market: 30–40 years - He refers to the long secular uptrend in bonds and its breakdown in 2020. Rates in 2022: ~400 basis points of hikes - He notes the Fed hiked roughly 400 bps in 2022, far more than his initial low-hike expectation. End-2022 Eurodollar pricing: 99.30 - He says the market priced roughly one to two hikes at the start of 2022. Long-dated Treasuries thesis: Rates possibly back to zero - He suggests a disproportionate chance of U.S. front-end rates returning toward zero if job markets deteriorate. Japan yield curve steepness: ~300 bps - He describes Japan’s curve as extremely steep for its historical context. Japanese bond yield example: 4% - He uses a hypothetical 4% yield on long-dated Japanese bonds to illustrate the trade framework. Silver price reference: $50 to $60+ - He says silver’s location was attractive around $50 and became neutral around $60, with $115 clearly not cheap by history. Option payoff example: 2-to-1 - He describes buying a 99.50 option in 2022 as a limited-risk way to express a no-hikes view. Crypto product count: 30+ - Mentioned in sponsor copy for Grayscale crypto products. Crypto loan amount: Up to $5 million BTC / $1 million ETH - Mentioned in sponsor copy for Coinbase-backed loans. Loan rates: Typically 4% to 8% - Mentioned in sponsor copy for Coinbase-backed loans.

Pivotal Quotes: "I like trades which will work now or will work later." — Alex Guravich: He explains his preference for trades with multi-horizon payoff potential. "Sometimes you just have to kind of like give up and just run with the market." — Alex Guravich: On precious metals and moments when market action matters more than explanation. "I think there is a disproportionate chance for the rates to go back down to zero." — Alex Guravich: His current macro view on U.S. front-end rates amid weakening labor conditions and disinflation risk.

Implications: Listeners should expect a more defensive, flexible macro regime: favor simple, optionality-aware structures, watch for disinflation and lower rates, and treat AI as both a trading threat and an analytical tool. The macro edge may increasingly come from framing, not prediction.