Asset management, Commodity price, Commodity risk, Hedging, Market trends, Risk management, Trading, Trend following

Trading COMEX Copper with I-System technology

The price of Copper has been trending significantly higher since the start of 2016. However, this trend has not been easy to trade using traditional trend following strategies.

HG_PriceCurveFm2015_2018_Framed

This last event (D) was quite painful for most – if not all – trend followers, as the following chart illustrates:  Continue reading

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Asset management, Behavioral finance, Commodity risk, Complexity, Hedging, Market psychology, Market research, Market trends, Psychology, Risk management, Something completely different, Trading, Trend following, Uncategorized

Speculation in the natural world

Nature has … some sort of arithmetical-geometrical coordinate system, because nature has all kinds of models. What we experience of nature is in models, and all of nature’s models are so beautiful. – R. Buckminster Fuller

Nature’s survival strategies that bear the most similarities to activities of market speculators are those of predators. To live, predators must hunt and this activity includes elements of speculation. Like trading, predation requires knowledge, skills, judgment and decision-making. It also entails risk and uncertainty. A predator can’t be sure where her next meal is coming from. Each hunt is an investment of resources; it involves the risk of injury and loss of energy expended in failed hunts, which tend to be more frequent than successful ones. To survive and procreate, predators must consistently generate a positive return on this investment. Too much of a losing streak could turn out to be fatal. In his book, “The Serengeti Lion: A Study of Predator-Prey Relations” George B. Schaller painstakingly documented the details of hundreds of hunts by large cats in the Serengeti National Park in Tanzania. We have all seen wildlife television programs showing lions and cheetahs hunting, but Schaller’s work offers a much richer account of the life of predatory cats including their hunting behavior.

The anatomy of a hunt Continue reading

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Commodity price, Hedging, Market trends, Trading, Trend following

On effective trend following strategies

A question frequently arises among trend followers on the nature of effective trading strategies. The old school of thought holds that strategies should be simple, ultra robust and effective across markets and time frames. I happen to disagree so here I share a hard-won piece of knowledge that should help settle this question. Continue reading

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Commodity price, Commodity risk, Economics, Energy crisis, Hedging, Inflation, Oil market, Policy, Social development

Is an epic energy crunch in the making?

Last year I published a report with the (justifiably) bombastic title, “$500 per barrel: could oil price rise tenfold?” One of my central claims was that producing oil requires investment of real capital including materials, equipment and highly skilled labor, and that, “as more and more resources are required to generate the same amount of liquid fuels, energy production is becoming ever more expensive to society in real terms.” Thus, as it becomes more expensive in real terms (as the deteriorating EROEI figures indicate), the fact that energy has recently become cheaper in nominal (dollar) terms can only be a temporary abberation. EROEI stands for energy return on energy invested; in the early 1900s, we obtained 100 barrels euqivalent of oil per barrel invested (EROEI of 100 to 1); today we are at about 15 to 1 globally and at 11 to 1 in the USA. Continue reading

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Asset management, Behavioral finance, Commodity price, Complexity, Economics, Expertise, Hedging, Market psychology, Psychology, Stock market, Trading, Trend following

The illusion of expertise in financial markets

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

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Commodity price, Economics, Energy crisis, Hedging, Market research, Oil market, Trading

Saudis to unveil the big secret? Not likely.

Over at OilPrice.com Nick Cunningham wrote that Saudi Arabia might finally reveal one of its closest kept secrets as they prepare to sell some 5% of its oil monopoly, Saudi Aramco, to the public. The Saudis and their Wall Street bankers expect Aramco to be valued at $2 to $3 trillion, which would generate north of $100 billion for the Saudis and massive underwriting fees for Wall Street Banks.

Since both the Saudis and Wall Street hope for the highest possible valuation for Aramco, we should not expect that they’ll “unveil” anything less than the rosiest plausible figure for their oil reserves. Continue reading

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Asset management, Commodity risk, Complexity, Economics, Expertise, Hedging, Market research, Policy, Risk management

Economic forecasting is exercise in futility

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

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