Seeing Patterns Where None Exist

Below are good examples of a cognitive bias known as Clustering Illusions or seeing patterns where none exist.

Such presentations depends usually on the underlying biases of the commentators or analysts.

For example "bears" would use today's markets in comparison with that of the Great Depression of the 30s as shown below...

From Google charts

Whereas the "bulls" would use the 1970s as a counterexample.

chart from Businessinsider

But the fact is that there is little in common between the 1930s and today (e.g. gold standard versus today's fiat money, deposit insurance, prohibitions in Intestate banking or the McFadden Act & etc...) or between 1970s and today (e.g. China still a communist economy than a mixed economy, globalization, high inflation versus today's "suppressed" inflation) to suggest of a similar dynamic that could accrue to the same outcomes for the markets.

Essentially, this signifies as a logical fallacy known as cum hoc ergo propter hoc or that "correlation does not imply causation".

Importantly, aside from having different operating conditions, political actions (interventionism) during those days had been different in type and in degree, such that the distortions in the economic and financial system greatly varied.

So essentially whatever directions shapes the future will likely be due to "chance" more than actual "analogies" relative to the above examples.

Anyway, I found this "tight" correlation between copper/gold-S&P 500 chart to be quite interesting.

From Trader's Narrative

Although my suspicion is that the correlation between the two could likely be "new" in the sense that the decades of 1980s-2000s saw "opposing" directions between commodities, which had been in a grueling bear market, and the performance of the US stock market, which had boomed in those salad days or during the "great moderation".

Nevertheless, the point of the chart is to show of the bearish disposition of the current market actions, by an analyst who can be described as a perma bear, David Rosenberg.

But again, as earlier pointed out, for every example would be a counter-example. It all depends on the bias of the writers.