This article on futures trading chart history is the opinion of Optimus Futures.

One question that many day traders tend to ask is how far back in time they should go to contextualize their trades.

That’s a reasonable question. If you’re trading on, say, a one-minute chart, then yesterday’s trading levels might provide valuable insight toward today’s trade.

But then where does it stop—a week, month, year, or several years?

When is the timescale no longer helpful or valid? For example, how useful is a 5-year old support and resistance when you trade on a 1-minute, 5-minute, or 15-minutes chart?

The answer to this question is not so simple. It depends on multiple factors.

An easy answer to the question above is that it

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This article on trading success is the opinion of Optimus Futures.

Some people believe that you need to study finance or have a lot of money to find trading success.

The truth is, education doesn’t play as big a role as you’d think. Neither does how much money you start off with.

There are plenty of incredible traders who lack any type of formal education.

Some of the most intelligent people make for bad traders.

So, why is it that intelligence doesn’t equate to trading success?

As you’ll soon find out, it’s far less about intelligence than you might think.

When Genius Fails

The main reason why many smart people don’t succeed in trading is simple.

Markets are irrational at times.

An intelligent person often looks for answers to

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This article on Riding a Profitable Trade is the opinion of Optimus Futures.

“Let your profits run, and cut your losers short.” It’s a common maxim; easier said than done. That sounds like a great idea, but how do you do it?

How might you know the optimal time to close a position if it is, indeed, profitable?

Before we discuss how to stay in a trade long enough, it’s important to understand why holding on to winners and cutting off losers is important.

First off, many people believe (including Optimus), markets tend to trend because of the following reasons:

• Fundamental factors drive the long-term prices of an asset
• Prices are not normally distributed but have a so-called “fat tail”: a statistical phenomenon caused

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