Probabilities Not Predictions

Markets are context dependent, their behavior is a function of the particular circumstances that exist and how those circumstances are expected to or do change. The trick is not to predict an unknowable future, but to try to understand the present and the probabilities of the various paths that may evolve from it. ~ Bill Miller

We often write that we’re not in the business of making predictions. Rather, our job is to gauge the asymmetry of outcomes.

We do this by determining what the consensus beliefs and positioning are by triangulating the macro, sentiment, and technicals. This helps us paint a picture of what expectations are already embedded in the price. Then we just weight these against possible future paths.

The larger the disparity between consensus and potential outcomes, the greater the asymmetry and the more attractive the bet (trade).

There are additional benefits to using this mental model versus the typical one of making predictions.

  1. It helps protect you from yourself. Certainty is a killer in this game. When we play the prediction game, we put ourselves at risk of becoming champions to a cause and slipping into the pull of our ego driven tribal nature. This distorts our perception of the world and blinds us to new information.
  2. Prediction making is linear and bimodal in nature. Markets are non-linear and endlessly dynamic. This fact causes prediction makers to live in friction and disharmony with markets — think the perma bears who’ve been on the wrong side of the market for years. They become stuck when their view of the world does not match up with how things actually are.
  3. Focusing on asymmetry of outcomes versus predictions frees the speculator from the psychologically destructive game of trying to be right over wrong. Instead, the speculator lives in a world of various shades of grey (50 shades maybe?) where they’re always some mix of both right and wrong. In this way, the objective becomes not to form an opinion and stick with it. But rather, to apply Bayesian analysis and continuously update their views as new information comes in — this puts the focus on making money versus being right.

Bennett Goodspeed put it like this, “Why do investment professionals get such poor marks? The main reason is that they are victims of their own methodology. By making a science out of an art, they are opting to be precisely wrong rather than generally correct.”

This year, we’ve been more generally correct than we’ve been generally wrong. We’ve handedly beaten the market, as a result.

But we can’t rest on our laurels. We must constantly check for holes in our own assumptions. Like a good writer, we must be willing to kill our darlings and be ready to flip our positioning should the triangulation of the macro, sentiment, and technicals tell us to do so.

Subscribe To Our Newsletter

Brandon Beylo

Value Investor

Brandon has been a professional investor focusing on value for over 13 years, spending his time in small to micro-cap companies, spin-offs, SPACs, and deep value liquidation situations. Over time, he’s developed a deeper understanding for what deep-value investing actually means, and refined his philosophy to include any business trading at a wild discount to what he thinks its worth in 3-5 years.

Brandon has a tenacious passion for investing, broad-based learning, and business. He previously worked for several leading investment firms before joining the team at Macro Ops. He lives by the famous Munger mantra of trying to get a little smarter each day.

AK

Investing & Personal Finance

AK is the founder of Macro Ops and the host of Fallible.

He started out in corporate economics for a Fortune 50 company before moving to a long/short equity investment firm.

With Macro Ops focused primarily on institutional clients, AK moved to servicing new investors just starting their journey. He takes the professional research and education produced at Macro Ops and breaks it down for beginners. The goal is to help clients find the best solution for their investing needs through effective education.

Tyler Kling

Volatility & Options Trader

Former trade desk manager at $100+ million family office where he oversaw multiple traders and helped develop cutting edge quantitative strategies in the derivatives market.

He worked as a consultant to the family office’s in-house fund of funds in the areas of portfolio manager evaluation and capital allocation.

Certified in Quantitative Finance from the Fitch Learning Center in London, England where he studied under famous quants such as Paul Wilmott.

Alex Barrow

Macro Trader

Founder and head macro trader at Macro Ops. Alex joined the US Marine Corps on his 18th birthday just one month after the 9/11 terrorist attacks. He subsequently spent a decade in the military. Serving in various capacities from scout sniper to interrogator and counterintelligence specialist. Following his military service, he worked as a contract intelligence professional for a number of US agencies (from the DIA to FBI) with a focus on counterintelligence and terrorist financing. He also spent time consulting for a tech company that specialized in building analytic software for finance and intelligence analysis.

After leaving the field of intelligence he went to work at a global macro hedge fund. He’s been professionally involved in markets since 2005, has consulted with a number of the leading names in the hedge fund space, and now manages his own family office while running Macro Ops. He’s published over 300 white papers on complex financial and macroeconomic topics, writes regularly about investment/market trends, and frequently speaks at conferences on trading and investing.

Macro Ops is a market research firm geared toward professional and experienced retail traders and investors. Macro Ops’ research has been featured in Forbes, Marketwatch, Business Insider, and Real Vision as well as a number of other leading publications.

You can find out more about Alex on his LinkedIn account here and also find him on Twitter where he frequently shares his market research.