The volatility on the large scale
is the container of the volatility on the smaller scale
100pt x 1 reversal chart
this is very important chart atm
1 box reversal charts continually generate areas of congestion
horizontal counts quantify this congestion
( trends last as long as counts are generated, activated and fulfilled
In the marketplace, this characteristic scale is the investment horizon of the participants. As long as there is no characteristic scale, as long as everybody has a different investment horizon, the market is fractal and is resilient to unexpected information.
Wave: Intraday, Minor, Intermediate, Long term, Fluctuations that build-up & build-down and form trends. Actually every upward or downward swing in the market whether it amounts to many points, or only a few points, or fractions of a point consists of numerous buying & selling waves.
These have a certain duration, they run just so long as they can attract a following. When this following is exhausted
for the time being that wave comes to an end and a contrary wave sets in. These waves represent the shifting relationship of Supply to Demand.
RDW
in regard to point &figure charts richkid try hubb financial. does most exchanges including asx. I know it does p&f for the likes of bhp but dont know about the smaller end. Good for end of day mohtly yearly etc for candles. its free.
Intrinsic time and heterogeneous markets
As explained in the book, Introduction to High Frequency Finance, the treatment of time in financial models is important for the success of the models. Over the past few years, the Olsen team has explored different ways for defining intrinsic time. We propose to investigate in more detail a concept of intrinsic time that is based on turning points of price moves. The thresholds of these turning points are a free parameter.
We propose to introduce a novel approach to defining volatility based on (this) intrinsic time ( P&F). The standard definition of volatility has the serious drawback that the return measurements are defined by clock time. For financial time series which exhibit clustering of volatility at different time scales, the measurement in clock time generates spurious results. The approach of defining volatility in reference to two intrinsic time scales offers new insights and a potential break through in volatility modeling.
----
In financial markets, the flow of time is discontinuous: over weekends trading comes
to a standstill or, inversely, at news announcements there are spurts of market activity.
The confinement of analysing returns as observed in physical time is overly
restrictive. (This?what about 100 year+ figure charting) is a first attempt at establishing a new paradigm by looking beyond
such constraints within financial data, constituting an event-driven approach, where patterns emerge for successions of events at different magnitudes.
This alternative approach defines an activity-based time-scale called intrinsic time.
Extending this event-driven paradigm further enables us to observe new, stable patterns
of scaling and reduces the level of complexity of real-world time series.
In detail, the fixed event thresholds of different sizes define focal points, blurring out irrelevant details of the price evolution.
The price curve is dissected into so-called directional change
and overshoot sections. ( He proposes a number of relationship laws ; of DC to OS )
Richard Olsen
An event in time is a collection of many smaller moments coalesced into a measure. It is composed of factors, facts, contexts, scope, details and duration. An event begins, an event ends, but its true measure is not that simple, nor should it be; time is not to be caught and cleaned on a hook like a fish, nor is an event in time just a sequence of moments with a beginning and end.
Jeremy Hight
composed of factors, facts, contexts, scope, details and duration. An event begins, an event ends, but its true measure is not that simple, nor should it be
fixed event thresholds of different sizes defining focal points and blurring out irrelevant details of the price evolution.
The initial market reaction to an event is followed by a series of secondary reactions in which participants react to each other's reactions. "These after-effects are like the ripples on a lake after a stone has been thrown into the water," comments CEO Richard Olsen.... It is possible to predict how the ripples will pass through the lake and cause secondary reactions."
which when resolved , When the time is ripea series of iterations of a making of repetitions..
an ongoing dialectic
Again is this chart Random ?
motorway
ps some consider this market the one to watch for early indications
China, Not So Risky After All?
This post is from Michael Yoshikami, President and Chief Investment Strategist of YCMNET Advisors, a wealth management firm:
In times like these, safety takes on a whole new meaning and risk is redefined on a daily basis. China, that emerging economy with so much promise, has often been criticized as a bubble waiting to burst. Well, it turns out that the United States, Europe, Australia and the entire global economy was in the same bubble bath.
Hear that? It's the sound of the plug being pulled from the tub, bubbles bursting and whatever that remains, going down the drain. Suddenly, China doesn't seem so scary anymore.
Hey what’s a 50 or 70 percent drop among friends? We're not just experiencing a bear market, we're at the start of a global recession. Perhaps it's time to give China a second look. After all, the first asset to deflate is often the first asset to recover.
China's Shanghai Composite Index is down over 60 percent year-to-date --a bitter loss for investors that bought in at the high. But now, considering the difficult circumstances facing the rest of the world, China presents some very compelling investment opportunities.
Valuations haven't been this low in ages. China appears to be one of the most discounted markets in the world. Sure, China will have slower growth. And no doubt, there'll be less consumption from countries that import Chinese goods.
Still, the fear might just be overdone. The downturn we are seeing is cyclical, not structural. I mean really, if your growth rate goes from 9 percent to 5.5 percent, it's a matter of deciding if the glass is half full or half empty. 5.5 percent isn't too sluggish on a real world basis. Just ask any industrialized economy whether they would like a growth rate of 5.5 percent?!
The government has committed 7 percent of gross domestic product to be invested into the economy to help stimulate growth. Many of these projects are core infrastructure build-outs that will benefit China in the long term.
The stimulus package is three times greater than the United States' TARP plan. And with oil prices going from $140 a barrel to $50 a barrel, this is the perfect tailwind for an economy that imports massive amounts of energy. Similarly, the cost of other commodities have plummeted, all of which, provide China with increased profitability margins.
I was in Beijing three weeks ago and spent some time with a member of China’s monetary agency. He said that China was committed to taking aggressive action, not merely symbolic steps.
A week later, China announced the 7 percent stimulus package. With a huge amount of funds on reserve, the Chinese government has the ability to continue taking additional significant and dramatic action to bolster their economy.
Oh, to have that cash in the bank. China's got it.
China has definitely taken a major hit. But for courageous investors, this spells opportunity on a silver platter. Remember, the key to investing is to buy when significant corrections occur that overshoot reasonable valuations. Risk is defined by fluctuation.
Check out China. It might just be safer than you think.
...
They ignore the importance of the "herd instinct" (or the psychology of the marketplace) in market behaviour and the law of the situation (in which each period of the market has its own parameters, many of which are not formulaic).
When fractal analysis is being done, it always rests on some type of fractal dimension. There are many types of fractal dimension or DF, but all can be condensed into one category - they are measures of complexity.
In fractal analysis, complexity is a change in detail with change in scale.
In general, we deduce the scaling rule or fractal dimension, DF, from knowing how something scales. Formally, this idea is about the relationship between N, the number of pieces and ε, the scale used to get the new pieces.
You may know with great certainty that whenever you have changed the magnification at which you were viewing something, the number of pieces always stayed the same and that only the size changed. But ask yourself this - did the detail change? Detail is what we mean when we say the number of pieces.
A DF is, in essence, a scaling rule comparing how a pattern's detail changes with the scale at which it is considered - this is what we mean by complexity.
I'm a charting agnostic - I don't "Not believe" but I don't "believe" either. Charts have an underlying assumption of past data pointing the way to the future. They ignore the importance of the "herd instinct" (or the psychology of the marketplace) in market behaviour and the law of the situation (in which each period of the market has its own parameters, many of which are not formulaic).
When we look at charts and tables we are looking at a selection of past factors and past results which must always contain certain redundancies and which cannot be said to reflect all possible past, current and future information. If you want to change a chart simply change the time period in which you calculate the results or the returns.
Still charts present interesting directions that might possibly point to potential directions (but they do not reflect known future events or directions
---> That one must act first by buying or selling- in order to sell or buy or profit in some way later"Charts have an underlying assumption
Wave: Intraday, Minor, Intermediate, Long term, Fluctuations that build-up & build-down and form trends.
You may know with great certainty that whenever you have changed the magnification at which you were viewing something, the number of pieces always stayed the same and that only the size changed. But ask yourself this - did the detail change? Detail is what we mean when we say the number of pieces.
By studying the relationships between
these upward and downward waves, their duration, speed and extent,
and comparing them with each other, we are able to judge the
relative strength of the bulls and the bears as the price movement
progresses.
As a result of this ceaseless struggle between bulls and bears, the
market eventually reaches a position in its broader swings where
these professional operators will uncover vital weakness or
strength. When such a critical condition is reached, the crisis is
usually revealed by significant developments in a comparatively
short series (few days) of small buying and selling waves. Thus,
when a period of accumulation is about completed, a study of the
small waves of the market will usually disclose the growing scarcity
of offerings which precedes the active marking up stage. Or, when a
period of distribution is about ended, a study of the small buying
and selling waves will usually reveal the imminence of the active
marking down phase.
These charts will reveal
when the "waves" build down (RDW)
and we should follow the action down to 50pt 25pt 10pt
even 5pt charts
prices always(?) fall below the point of accumulation
prices always(?) rise above the point of distribution
quote from 1898
M/W I notice the massive amount of effort both horizontal and vertical in your XAO charts at the 4300 area.
Box counting is a way of sampling an image to find the rate of change in complexity with scale, as well as measures of heterogeneity or lacunarity.
The basic procedure is to systematically lay a series of grids of decreasing calibre (the boxes) and counting the number of Boxes for each successive calibre. Counting is how many of the boxes in each grid had any part of the detail in them. (The important detail here is the Xs, the "unimportant" the grey background).
Heterogeneity or "lacunarity" literally refers to a gap or pool ( The unfilled spaces in the patterns )
Market Heterogeneity means that the impact of an event does not play out immediately in the market, but slowly dissipates at different rates . The initial reaction to an event is followed by series of secondary reactions (aftershocks)
Market participants are different. To anticipate disconnects between buyers and sellers (discontinuities in liquidity and, therefore, pricing), the likely responses of these different players to price changes and other events must be analyzed discretely.
Every trade leaves a footprint; managing risk is about reading this path.
Pricing flows originate in momentary micro-bursts of volatility that kill liquidity and displace pricing.
The better you can gauge this displacement, the smarter your next positions.
Bear in mind that a decisive price movement cannot be expected to
occur until there is evidence that the forces of supply or demand
have been built up, and then become unbalanced, sufficiently to
generate a sustained swing.
Therefore, take care to analyze the
behavior of an average or a stock while it is forming these
congestion areas to make sure that such formations actually do
signify accumulation or distribution.
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