Al Brooks synthesis and application...
Al Brooks published Trading Price Action in 2011, two years after publishing Reading Price Charts Bar by Bar in 2009. But the manuscript was so long that the publisher decided to divide the text into three separate books.
Brooks writes that “every chart has an incredible amount of information that can be used to make profitable trades, but much of it can be used effectively only if traders spend time to carefully understand what each bar on the chart is telling them about what institutional money is doing.”
However, from my perspective, if I have to try to decipher what a bar on some chart is telling me, then I need to switch to a chart with a lower time frame so I can actually see what’s going on. Brooks goes on to write that “you should always be trading in the direction of the majority of institutional dollars because they control where the market is heading,” and that is exactly what I believe trading via charts with a lower time frame empowers me to do.
I conceptualize price action as consisting of (1) waves, (2) currents, and (3) tides; and it is by going with the flow of the currents that I seek to accomplish the above. Though this is also hypothetically (or theoretically) possible to do by trading the tides, as a retail trader, this would require my experiencing draw-downs, losses, and success rates at levels I would find unacceptable.
Brooks describes a couple of examples of mistakes “weak traders” make due to the fact that sometimes, when the market is working higher, a bar will trade below the low of the prior bar, yet the trend will continue higher. In such situations, institutional players will often buy exactly where some so-called weak traders let themselves get stopped out with a loss, or where other weak traders short, believing the market is selling off.
Al’s answer to this is “don’t think too hard about it.” He advises traders to follow the behavior of the institutions and not use too much logic to deny what is happening right in front of them—but my question is, exactly how does one go about doing this? Numerical Price Prediction (the system I use) arrives at an answer from a slightly different angle.
NPP aims to apply as much logic and reason as humanly possible by turning to mathematical data and statistical probability to identify central tendency, thereby conveying the “true” intent of the big institutions without permitting variability of data sets (dispersion) to trick retail traders into making fallacious decisions.
Al Brooks published Trading Price Action in 2011, two years after publishing Reading Price Charts Bar by Bar in 2009. But the manuscript was so long that the publisher decided to divide the text into three separate books.
Brooks writes that “every chart has an incredible amount of information that can be used to make profitable trades, but much of it can be used effectively only if traders spend time to carefully understand what each bar on the chart is telling them about what institutional money is doing.”
However, from my perspective, if I have to try to decipher what a bar on some chart is telling me, then I need to switch to a chart with a lower time frame so I can actually see what’s going on. Brooks goes on to write that “you should always be trading in the direction of the majority of institutional dollars because they control where the market is heading,” and that is exactly what I believe trading via charts with a lower time frame empowers me to do.
I conceptualize price action as consisting of (1) waves, (2) currents, and (3) tides; and it is by going with the flow of the currents that I seek to accomplish the above. Though this is also hypothetically (or theoretically) possible to do by trading the tides, as a retail trader, this would require my experiencing draw-downs, losses, and success rates at levels I would find unacceptable.
Brooks describes a couple of examples of mistakes “weak traders” make due to the fact that sometimes, when the market is working higher, a bar will trade below the low of the prior bar, yet the trend will continue higher. In such situations, institutional players will often buy exactly where some so-called weak traders let themselves get stopped out with a loss, or where other weak traders short, believing the market is selling off.
Al’s answer to this is “don’t think too hard about it.” He advises traders to follow the behavior of the institutions and not use too much logic to deny what is happening right in front of them—but my question is, exactly how does one go about doing this? Numerical Price Prediction (the system I use) arrives at an answer from a slightly different angle.
NPP aims to apply as much logic and reason as humanly possible by turning to mathematical data and statistical probability to identify central tendency, thereby conveying the “true” intent of the big institutions without permitting variability of data sets (dispersion) to trick retail traders into making fallacious decisions.
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