No. I do not have any stop limits on charts. I have circles which are the bottoms and troughs or a vertex on the top. The rest is just a path. If I see choppy volatility then I use channels and no perfect direction.
Usually when the jaws is DEEPER, there is more pressure, but takes longer..more pain.. When the jaws is “mini”, its faster to respond..Less friction against supply zone.
New subscribers can keep 50% cash & take high probability lazy trades with 20% upside projected. Spread risk by distribution over 5 MTFs preferably of different sectors.
I do not. However, other followers such as @Andyontwitt3r do.
I am giving you what I view to be the bargains by date and the risk (tops) by date. It is up to you to play your strategy. You are receiving a risk and reward swing trade objective.
Both time and level (pattern). I always wait for timing elements to confirm what my chart says it should do. The specific timing elements are a weak time segmented volume, toppy money flow, balance of power is toppy and beginning to weaken or has gone negative while price is at highs. During the critical time that I am expecting a drop or a rise. I refresh my MTF as a confirmation that everything still looks as prognosticated or if it has shifted/morphed at all.
I wait for volume action and compare multiple charts at the same time to see if they agree on timing. Volume always leads and tells the story before the move. If I am seeing heavy coiled price action and strong TSV, it leads to price.
When I approach these frequencies, I am more concerned that the directions speak the same language for probability sake.
I do not believe it is worth chasing anything, especially when there are other stocks giving MTF bargains.
That line is just FREQUENCY SUPPORT or FREQUENCY RESISTANCE. Always trade with a big picture in mind.
The circle is where the price should head by the date according to the MTF. Understand that the lines are based on larger timeframes, and show me a general macro frequency…so we are targeting up now, towards the circle. Do understand that the lines are based on larger timeframes and show me a general macro frequency.
I diversify portfolio of major accounts with them, yes.. With the posted public trades, I try to be picky.
It just means that I see it as a set up that goes down. I do not view it as a buy more as it may sell off there.
It refers to the timeframe of the chart. You can find tutorial on chart timeframes on youtube.
The colored boxes are the assessment days, not signals. It is when I believe there will be a bottom or top and assess.
I do not correlate any chart even if they are closely related. However, if related charts do correlate then it adds CONFIDENT MTF frequency trading.
Therefore, when related animals all say the same thing, It builds confidence in the call. Both date wise and trend wise.
When I see extremely short history, there is no way for me to extend the MTF beyond a short degree of confidence in the X dimension (time).
I update it in real time. However, I do not post every trade. I do not want people who do not know how to properly manage money make mistakes. I try to protect their interests by not getting into too many swings where they may run out of cash.
Charts with corners/circle offer the best risk / reward. For example:
Be sure to verify if you are you in an area that offers HIGH ENOUGH reward to take a stab at it. Always play the house side. Always play for the best reward in the least risky area. Never play in no mans land. That is the key to winning more consistently.
Obey just means its following the overall MTF path that was projected.
I always like to do MTF updates when we get near important forecasted TURNS. They always work better to refresh for new morphs.
Yes. MTFs follow volume and create a geometrical shape. My algorithm matches against its history. Once the match is made, the human responses are generically the same. It is descriptive geometry.
There is a widespread disease that actually creates the MTF algo. It’s called CHASING and Human Emotions will never change.
MTF stands for Mandelbrot Trend Forecasting. Prior to explaining how to utilize Mandelbrot patterns to
forecast market trends, one needs to understand what the Mandelbrot set is and why it’s so
fundamental to the patterns observed throughout nature.
The Mandelbrot set is a geometrical pattern created by plotting iterations of points from a simple
mathematical equation z = z 2+ C. The output is known as a fractal, producing very similar forms at
different levels of magnification. From this simple equation, complex structures emerge. Living
systems display these fractal patterns: plants, corals, and biological systems such as our blood vessels
and lungs all display branching fractal patterns similar to the Mandelbrot set.
Fractals have infinite representation in the world in inorganic matter as well. Snowflakes, dissimilar to
each other, display fractal pattern internally. In fact, Mandelbrot pattern usage is so universal that it
acquired the name, “Thumbprint of God”. Because the output of one operation becomes the input of
the other, complex numbers flow in both directions, creating feedback loops that run to infinity and
infinitesimally small numbers. As we magnify the pattern, more and more details emerge; you see mini
Mandelbrots, almost an identical replica of the original set with perhaps subtle differences. It is hard to
imagine, but it is infinitely complex.
Likewise, Mandelbrot analysis fits well with stock market forecasting as market movement is inherently
fractal in nature. Similar to Mandelbrot pattern generation, market prices are a set of feedback loops
that result in complex patterns. The only difference is that the concept of structural encapsulation and
similarities that we observe in Mandelbrot sets are transformed to similarities that happen in time.
Mandelbrot sets have a repeatable and yet ever-evolving nature, therefore the resulting pattern can’t
be fully predicted. However, events and human emotions reflected in stock market fluctuations have
produced similar ripples throughout history. By paying attention to these fluctuations in the past an
astute observer can find clones of today’s pattern with striking similarity. Thus, if we encounter the
beginning of such a pattern today, what makes you think history won’t repeat itself? Yet, in
Mandelbrot forecasts, this is only the initial premise.
What often prevents a reliable forecast of price is when the pattern is governed by the Heisenberg
Uncertainty Principle , literally unpredictable like the position of electrons before measurement in the
famous double slit experiment.
However, we can be informed by the fractal nature of price; as we alter the time scale of the
observation, a signal can emerge amongst the noise. For example, the curve that seems obscured by
noise on a monthly scale could be producing a signal on the weekly scale. Similarly, what looks like
signal on the hourly scale might look like noise of daily, in basically a process that in a process that is
transferring information in both directions.
On magnification, the circular pattern A, B and C (below) are almost structurally identical; however, the
waveforms A, B, and C operate at different time scales. Assuming that they represent scales of ‘A’
weekly, ‘B’ daily and ‘C’ hourly, we can see that the wavelength of A is much longer than the
wavelength of B which is longer than the wavelength of C. Therefore, the contribution of waves B and C
could be perceived as Heisenberg’s noise on the weekly scale and yet, at the smaller time scale, drive
the overall pattern.
The price curve is a superimposition of an infinite number of fractal frequencies starting from
extremely long ones and ending with infinitesimally short ones. Monitoring all these frequencies could,
with perfect knowledge, predict a price curve at any moment in time. However, on one hand, all such
knowledge is not available (as available data history is limited) and we can only rely on some subset of
possible affecting frequencies. Secondly, the further we go into the forecasted model projection, the
less accurate the model will be (due to lack of historical data). This is because a larger mandelbrot
frequency can warp and overtake/overpower our projected price model. Therefore we believe it is
safer to forecast a price model projection with a smaller percentage into the future and refresh this
model continuously. The constant monitoring and upgrading of the projection pattern drastically
improves its reliability. Similar patterns across several time frames have a striking ability to define a
trend, its approximate beginning and end date, and highs and lows.
For more information, see http://zapme2it.com/MTF/Mandelbrot_set_JB.pdf
Yes. It has taken me over 4,000 mind hours to come up with the math behind MTFs and will not show this. However, I will never charge my Twitter followers for access to the posted charts.
My goal is to sell this software to a bank. Once I sell my software at the asking price or higher, I will request my followers send me their past 2-3 years of tax returns. My CPA will divide $5M among the followers who need this the most.
I have absolutely no understanding about fundamentals of any of the posted charts. These are 100% frequency detections based on mathematical calculations.
I do not consider other analysis. I do not even think or make conjectures. I’m a dumb parrot repeating words of his master…(the MTF)..period, end of story
I’m the worst person to help you with scalps, I have never been successful scalping. I personally just consider it #heisenberguncertainty principle noise. The best results come when I take a step back (2hr/4hr/daily) and using those MTFs to find momentum and “energy” of next bigger move.