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Forward Guidance

Think Like Everyone Else, Lose Like Everyone Else | Brent Donnelly

Wednesday, 8 July 2026 · 4 min read · Listen to the episode ↗

Brent Donnelly opens with the argument that thinking like the consensus produces consensus results, and since most traders lose money, conformity is simply a structured path to the same outcome. He maps the tight aggressive poker framework onto trading discipline, using Jesse Livermore and Victor Niederhoffer as cautionary examples of skill destroyed by risk management failure, and argues that approaching ruin enough times guarantees eventually reaching it.

Brent Donnelly argues that independent thinking is the foundational requirement for trading edge, because thinking like the consensus produces consensus results, and since most traders lose money, that outcome is the default for anyone who fails to diverge. His two books, Alpha Trader and Trade Outside the Box, organize trading around fundamentals, technicals, behavioral analysis, and quantitative methods, with the newer book drawing on poker and clinical psychology to address gaps most trading literature leaves open, particularly in risk management.

The tight aggressive poker concept, combining extreme patience with extreme aggression, maps directly onto trading discipline. Donnelly says poker gave him more repetitions than trading and taught him to exit bad positions, a skill he lacked due to a naturally high risk appetite. He draws an explicit analogy between trading a mediocre idea out of boredom and playing a weak hand like jack six offsuit, treating both as avoidable errors of the same type. He cites Jesse Livermore as a cautionary example of extraordinary skill combined with catastrophic risk management failure, noting Livermore went bankrupt three times and ultimately committed suicide. He applies the same framework to Victor Niederhoffer, arguing that blowing up every five to six years is a structural consequence of running strategies that are convex in the wrong direction. His ergodicity argument is that no matter how skilled a trader is, approaching the abyss enough times guarantees eventually falling in.

Donnelly describes a personal bias toward over-trading when performing well rather than when losing. The correct response to running ahead of expectations is to reduce risk and cut the number of open positions, not to pyramid. He addresses this mechanically by using conditional formatting in his P&L spreadsheet that automatically triggers risk reduction when he is outperforming. His stated edge has also shifted away from predicting central bank decisions or macroeconomic data and toward predicting what humans will do over the next one to two weeks, which he considers more tractable than forecasting policy outcomes.

Donnelly uses large language models primarily to identify the consensus view and to determine which metrics consensus analysts are focused on, rather than as a source of original insight. He notes that tools like Gemini Deep Research aggregate all available information and therefore produce the most vanilla, consensus-aggregated output by design. He describes a specific trade structure where multiple LLMs collectively indicated a biotech stock should be down roughly fifty percent but it was only trading down nine percent, leading him to sell with a stop near where the news came out and a target of a thirty percent decline. He connects this to Keynes's beauty contest principle and Jim Grant's formulation that the key to making money is thinking what everyone else thinks but just a bit before them.

On the Fed, Donnelly expects Kevin Warsh to open with hawkish rhetoric at his first meeting but characterizes this as performative credential-establishing behavior consistent with every new Fed chair rather than genuine policy intent. His core prediction is that Fed funds remain unchanged through December, with the Fed slow-playing and deferring decisions. He notes the Fed has missed its inflation target for sixty-two months and appears comfortable missing for another twenty months. He identifies the July FOMC meeting and the payroll reaction as the key near-term signpost, leaving open the possibility of a July hike if non-farm payrolls comes in strong.

On FX, Donnelly says rate differentials remain the primary driver across most currency pairs and that being right on rate differentials is usually being right on FX. He describes the current broad dollar rally as rate-differential driven, with CTA, carry, and momentum strategies amplifying yield differential flows. Dollar yen he treats as an exception, describing it as behaving like a pegged currency with significant jump risk near one sixty-two. He argues Ministry of Finance intervention is difficult to justify politically when US yields are rising and US exceptionalism is driving equity gains, and says the MOF's actual goal is only to cut off the right tail of explosive yen weakness rather than reverse the trend back to 130. He predicts a real sustained yen rally would require a US recession, lower US two-year yields, or coordinated intervention, none of which he views as likely in 2026. Coordinated intervention has worked almost every time historically, but he does not expect Treasury Secretary Bessent or the Fed to participate.

On Japan's bond market, Donnelly frames the risk as a velocity and volatility story rather than a levels story. The nightmare scenario is an emerging-market-style feedback loop where higher yields erode fiscal credibility, causing simultaneous bond and currency selling. He notes Japan has two massive pension funds, GPF and KAMPO, holding assets in the trillions that could repatriate foreign holdings to buy JGBs, and treats this as a one-time option Japan appears to be saving for a genuine emergency. On Bitcoin, he argues the asset cycled through narratives including store of value, peer-to-peer cash, and digital gold, and none fully panned out. He predicts the next bull run may not come for a very long time because the pool of convincing new narratives may be exhausted, while acknowledging uncertainty about whether a new narrative will emerge.

This summary was generated from the episode transcript and can contain mistakes.