Commentary

This article will try to illuminate why most retail traders fail at speculative trading. I would argue that the simplest reason for failure is that they are fighting the path of least resistance. Looking at the chart below (Figure 1) of the spot... more

Many speculative traders are attracted to short-term or intraday trading for a wide array of reasons. These reasons include the fact that trades executed are typically lower risk as well as superior winning percentages when compared to trades... more

As a devoted CQG trader, investor, portfolio manager, hedger, etc., how does high frequency trading (HFT) affect the way you do business? Some might say that you can't get a good fill at your price, while others have just thrown their collective... more

Although most mathematical technical indicators focus on capitalizing on either trending behavior by using tools like moving averages (see Trend Following Kept Simple: The 200-Day Simple Moving Average) or on counter-trending action through... more

Daryl Guppy developed a trend-following technique using twelve exponentially-weighted moving averages. The twelve periods featured in his books are 3, 5, 8, 10, 12, 18, 30, 35, 40, 45, 50, and 60. The 3-, 5-, 8-, 10-, 12-, and 18-period... more

Many technicians use complex technical indicators such as Average True Range, but experienced ones use them in conjunction with basic indicators such as volume and long-term simple moving averages. Arguably the most important of trend-following... more

ICE May Cotton futures are setting up well as a low-risk, high-reward mean reversion trade. One of our preferred set-ups is countertrend trades in the direction of the longer-term trend. In the following image, May Cotton closed below its two-... more

Moving Linear Regression lines are my preferred method for tracking a trend, especially on low time frame charts such as Constant Volume Bars or TFlow®. Regression lines have specific properties that allow them to track the trend however shallow... more

A key advantage of TFlow® charts is their ability to build data based on activity. This allows for sensitivity without lag. It also allows for traditional analysis, such as trend lines, to be utilised in a unique way that is not visible... more

Analysis of TFlow® volume and the DOMTracker reveals that each market has its own dynamics and limits. When these limits are reached, exhaustion and major turning points can occur. Smoothed TFlow differs from the normal aggregation in that it... more