Numerical Price Prediction Challenge
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Why don't to try several brokers via master account to compare execution and choose best. I think a lot of things depends on execution but many prefer to not care about that.
I'm afraid I don't know the meaning of "via master account." Also, since my success rate is normally north of 80%, execution is not a big issue for me, and this is probably going to me the case even more so now that I am experimenting with position trading, where I am likely to hold on to a given asset for several days.
Tuesday, January 28, 2020
The best times to trade are from 5:00 AM to 10:00 AM and 10 PM to 2 AM Pacific Standard Time. Also, 4 PM - 7 PM is sometimes okay, but the Tokyo/Sydney sessions often fail to provide a lot of activity.
If all I know is the direction of the day-to-day trend, then I need about a 35-pip stop loss to avoid being stopped out by the shenanigans of the market makers. But with knowledge of typical day-to-day and intraday price ranges, I should be able to drop that down to a 10- to 15-pip stop loss.
The best times to trade are from 5:00 AM to 10:00 AM and 10 PM to 2 AM Pacific Standard Time. Also, 4 PM - 7 PM is sometimes okay, but the Tokyo/Sydney sessions often fail to provide a lot of activity.
Change Step Four to...
The fourth step is to translate all of the above to a lower time frame with the addition of embodied fractals to provide greater detail and more precise accuracy for entering and exiting positions with optimum efficiency, effectiveness, and profitability.
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Tuesday / January 28, 2020 / 11:45 PM PST
My trade decisions are, at this point, all under the dictate of the numbers. It is all about being patient until and unless rates arrive at key, statistically derived, predesignated levels where the market makers seek to drive price against the prevailing trend so they are able to reverse direction and exit these select regions with liquidity. In theory, I should almost never experience a losing trade when operating according to the system represented by the above chart configuration, except on those occasions when the market makers reverse the predominant trend. Even then, there should often be times when I can escape such losing positions at break even, and if not, my losses should be very limited stemming from where I place or move my stops (see below).
My trade decisions are, at this point, all under the dictate of the numbers. It is all about being patient until and unless rates arrive at key, statistically derived, predesignated levels where the market makers seek to drive price against the prevailing trend so they are able to reverse direction and exit these select regions with liquidity. In theory, I should almost never experience a losing trade when operating according to the system represented by the above chart configuration, except on those occasions when the market makers reverse the predominant trend. Even then, there should often be times when I can escape such losing positions at break even, and if not, my losses should be very limited stemming from where I place or move my stops (see below).
Sunday / May 10, 2020 (Mother's Day) / 9:35 PM PST
Glory to God, in its final iteration, I would describe Numerical Price Prediction (NPP) as being based on the biblical principles of testing everything and holding fast to that which can be verified as true, recognizing the signs of the times, and finding wisdom in a multitude of counselors.
The first principle led to the rejection of all indicators except moving averages and (adaptive) moving average envelopes. The second guided the use of these two tools as graphic representations of statistical variance (i.e., price deviation/range) and rate of change (i.e., slope/trend). The third and final principle suggested applying the collection of data generated from the use of these measures within multiple time frames to pinpoint optimal levels for executing trades—meaning the entering and exiting of positions.
This end version of this waves/envelopes/cycles approach to trading Forex was used successfully on Friday, and after evaluating the methodology over the weekend, it is hoped that the resulting final protocol coming out of this last bit of analysis will almost totally eliminate losing trades going forward, sustain a bigger average profit trade vs. average loss trade, and lead to more profitable returns per trade than was typical most times in the past—more along the lines of the last two trades that were made so far today...
As hinted at from the above description, the approach also incorporates Edgar Peters’ fractal market hypothesis, which views financial markets as fractal in the sense that they follow a cyclical and replicable pattern, and also cycle theory, which holds that cyclical forces, both long and short, drive price movements, and can be used to anticipate turning points.
Glory to God, in its final iteration, I would describe Numerical Price Prediction (NPP) as being based on the biblical principles of testing everything and holding fast to that which can be verified as true, recognizing the signs of the times, and finding wisdom in a multitude of counselors.
The first principle led to the rejection of all indicators except moving averages and (adaptive) moving average envelopes. The second guided the use of these two tools as graphic representations of statistical variance (i.e., price deviation/range) and rate of change (i.e., slope/trend). The third and final principle suggested applying the collection of data generated from the use of these measures within multiple time frames to pinpoint optimal levels for executing trades—meaning the entering and exiting of positions.
This end version of this waves/envelopes/cycles approach to trading Forex was used successfully on Friday, and after evaluating the methodology over the weekend, it is hoped that the resulting final protocol coming out of this last bit of analysis will almost totally eliminate losing trades going forward, sustain a bigger average profit trade vs. average loss trade, and lead to more profitable returns per trade than was typical most times in the past—more along the lines of the last two trades that were made so far today...
As hinted at from the above description, the approach also incorporates Edgar Peters’ fractal market hypothesis, which views financial markets as fractal in the sense that they follow a cyclical and replicable pattern, and also cycle theory, which holds that cyclical forces, both long and short, drive price movements, and can be used to anticipate turning points.
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Alas, my hopes have been dashed upon the rocks.
Tuesday / May 12, 2020 / 12:15 PM GMT
According to this one of my forecast models I should not have been expecting to see AUDJPY reverse direction until right about now at the earliest, and possibly not until reaching 70.64!
Oh well...live and learn.
I suppose I will find the same thing when it comes to AUDUSD and CADJPY.
According to this one of my forecast models I should not have been expecting to see AUDJPY reverse direction until right about now at the earliest, and possibly not until reaching 70.64!
Oh well...live and learn.
I suppose I will find the same thing when it comes to AUDUSD and CADJPY.