A few months ago, when reviewing our trades on US Treasury futures, I was so delighted, I drafted a bragging article titled “How we knew yields would collapse?” summarizing the results of our trading. That performance was entirely generated by my I-System model, first built in 1999. I still find myself awestruck that this works… We generated profitable trades through both the bear and the bull market in bonds, literally without needing to know a single thing about the market fundamentals. The trades were strictly based on the knowledge framework built into the system more than 20 years ago (by the way, our strategies are still generating excellent signals in those same markets). Continue reading
Last month I had the privilege of meeting with Jaran Rystad of Rystad Energy to discuss strategic cooperation between our companies. On the occasion, he gave me a rather detailed presentation of his firm’s energy intelligence database. I must say, in my 20+ years trading in commodities markets this is by far the most impressive product of its kind I’ve ever seen. Even from the software engineering point of view, I was very impressed. For full disclosure, nobody asked nor encouraged me to write this. Much as you’d recommend a restaurant where you ate well or a doctor you respect, I wholeheartedly recommend Rystad Energy as a provider of energy market intelligence as a matter of giving credit where credit is due.
However, even with top notch data on economic supply and demand fundamentals, divining the future remains difficult and unlikely. John von Neumann rightly said that forecasting was “the most complex, interactive, and highly nonlinear problem that had ever been conceived of.” Continue reading
Participants in financial markets have to deal with uncertainty on a daily basis. Their need to research and understand markets has given rise to a massive industry delivering security prices, reports and expert analyses to traders and investors seeking to make sense of the markets and predict how they might unfold in the future.
The need to understand stuff is innate to our psychology: when something happens, we almost reflexively want to know why it happened. But the compulsion to pair an effect with its cause sometimes gets us jumping to conclusions. If such conclusions turn out to be mistaken or irrelevant, they could prove useless – or something worse. Consider two recent titles from the ZeroHedge blog, published 89 minutes apart: Continue reading
“Economists can’t forecast for a toffee… They have missed every recession in the last four decades. And it isn’t just growth that economists can’t forecast; it’s also inflation, bond yields, unemployment, stock market price targets and pretty much everything else.” – James Montier
Forecasting commodity prices and economic indicators is demonstrably an exercise in futility. Our markets and economies are complex systems and as such, their future unfolding is impossible to predict with any degree of certainty. Concretely, let’s take a look at how the leading economic analysts did at predicting oil prices, GDP growth, unemployment and stock market indices. Continue reading
“State a moral case to a ploughman and a professor. The former will decide it as well, and often better than the latter, because he has not been led astray by artificial rules.” Thomas Jefferson wrote this in 1787, but his words remain relevant. Advanced education often narrows our perspective, obstructing our ability to fully evaluate new information or to adapt well to life’s changing circumstances. What we think we know may keep us from grasping new things we need to understand. Zen masters of old likened our capacity to understand to a water bowl: its purpose may be to hold water, but it is only useful to the extent that it is empty. Here’s a real-life example of this metaphor…