Super chart. Thanks for adding the data as you did. The clues I used were to look at the raw data and just see what degrees of freedom would emerge from running the raw data through a process to obtain a signalling device. I attached a picture of what the general solution box looks like for each model of a degree of freedom. My mental trademark so to speak. I will follow with other posts. To explain each one that can be built for making money.
Here's where the real fun and questions can come in with trendlines: Watching multiple timeframes. This GBP JPY 60m chart looked good for a nice upside break. Actually as of this post it is still running up higher. However, if you would have looked at the daily chart (attached) it came into a major downtrend line resistance. What would you have done as it came into this area? (it happens to be slightly above it at the moment)
Hi tradersaavy, I think that in your example this is two very diffrent time frames, i.e. in the daily chart the price is meeting a trendline, but in the lower chart this is a breakout. Nevertheless we watch out for all the bareers to the price, so it should not be traded.
Local problems yesterday so I lost two follow up posts. By taking a first look at the chart information, 6 to 8 items pop up for use. This means raw data can be fed to a column of boxes, and they in turn can be intrconnected for various uses and then signals result. From this beginning, several additional utilities will come up and more columns can be added. At this point some rows can be added to enhance the five of six columns. The inputs to these rows will come from other places in the Forex realm. By applying this beginning to the six most common pairs, the relationships of the pairs may be understood. They are located around the world. This, fortunately makes for a good beginning for a global data net where you will have a lot of outputs that can be used to coordinate trading in a lot of exchanges (other than just forex) all over the world. I am going to call it the EZZY Global Net. To be able to trade the chart you posted I attached rough out of the beginning concerns. Pace, tapping and high risk popped out. So An arrangement has to be worked out for pace (upper left). Pace drives everything And you need to know what the pace is all the time. Next, because Pace gives to the normal distribution of bar volatility and bar overlap, you get that data from the raw data. By knowing the expectation (anticipation) for price, you can work through the key signal for trading which I labeled "certainty". What is nice about "certainty" is that before it occurs on each bar, there is nothing to do in terms of trading. It may not occur. So now you recognize that "certainty" is a "gating" function which prescribes the frequency of having a possibility of action being required. This is an explanation of for how the single data element "freakout" trade is taken off the table. And it is also the opposite of "freeze" which we saw happen at the end of a journal when ,recently, losses reached 25% of capital in a day or so (contracts magnitudes reched 3 to 400% of specified). By looking at this inital layout it can be seen that a few sheets of paper with data tables suffices for a manual operation. Let's say that volume is not available. By using the boxes that deal with price volatility and overlap, then it is possible to generate a cyber Pace that is not based on volume. The pace output can then be fed to the boxes pace is fed to now. The left, middle and right columns, respectively handle: raw data to give market profiles (context); establish what is going on (the circumstances); and timing for making money. As usual in most markets it comes down to sidelining when at high risk, intrabar trading when volatility premits and slow paced traverse trading in the trading fractal at other times.
If you wanted to script the boxes, then you could have a display of Price, Volume and indicators. I show on the Attachment the ellipses for each of these script collections. Some script functions are Matricies (yellow boxes) that are updated as indicated (use a rolling average type add/delete function to glide through seasons). The p> .05 is easy to achieve with a month's bars on alost any fractal. Using a three fractal overlay is a good beginnning point. Other scripts are used to meet conditions and these can be put in as background colors in the proper part of the display. I use three pace colors and they have a one to one correspondence to the condition boxes as well as the timimg boxes. Thin decisions are in grey on the price portion of the display. Some decisions last through and entire pace and the pace associated with the traverse trading shows odd numbers of trades within the duration of that pace. Onbviously the next set of boxes takes the design up a few notches. The two most significant collections of boxes would deal with trade direction, and going to a couple levels of increased sensitivity on timing.
The black box shows how a trade works. You are going into a trade after the trade occurred (see red box) On that light brown line you drew I put in the pennant by adding another light brown line. See how the pennant BO was the signal for the short???? The volume lines I noted BEFORE the two boxes are major clues. Some minor points: Trade in stocks to make 10% every three or four days. Use 3 Beta stocks with combo of EPS and RS that are tops. Change your MACD so it works. Change your Stoch so it works.
Here is an example of doing the last paragraph above. It is basically a look inside the Trend/reversion box. You can see at this point that getting to a binary vector is not complicated.