Slope of Hope Blog Posts

Slope initially began as a blog, so this is where most of the website’s content resides. Here we have tens of thousands of posts dating back over a decade. These are listed in reverse chronological order. Click on any category icon below to see posts tagged with that particular subject, or click on a word in the category cloud on the right side of the screen for more specific choices.

Flatten the Funhouse Mirrors

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Let’s suppose you were about to head outdoors, and you asked me the temperature so you could dress appropriately. “It’s thirty-two”, I tell you. So you slip on a thick coat, a scarf, and a hat, then you head outside.

After you shut the door behind you, the hot air hits you, and you immediately come back inside, furious with me, and change into something more comfortable. I was telling you the truth – – the temperature was, in fact, 32. Celsius. In other words, you should be wearing a short-sleeved Tommy Bahama top and not a thick coat.

Similarly, you might ask me what my father’s salary was when I was a kid. “Thirty-five thousand dollars.” Wow, pathetic, right? How did he support a family of six, and we lived in a nice house? Well, the salary I am telling you about was from decades ago, and it was pretty good money back then.

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Cool New Study, Slopers!

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Hey, folks, we’ve got one of the coolest technical indicators ever just added to SlopeCharts: the Correlation Study.

There are many ways to compare two financial instruments to one another on the Slope of Hope. You can plot two different symbols based on their price in SlopeCharts. You can plot them based on their percentage movement. You can determine their correlative relationship over a period of time you establish on the Correlations Page. Finally, you can make use of the Correlation Study within SlopeCharts.

When we speak of “correlation“, it refers to the positive or negative relationship one symbol has with another, ranging from 1.0 to -1.0. For example, if one were to compare the ETF for precious metals miners (GDX) with that of junior miners (GDXJ), the correlation would be very high, because those two instruments are comprised of companies which largely do the same thing. The correlation would tend to hover rather near 1.0, suggesting that they move closely together.

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