I am going to show you a trade plan – a worksheet with all the important information that a trader use for making their trading decisions in the next trading day on the symbols he/she trades.
Quote formulas has a very special ability in extending itself under different context. For example, if you are using quote formula within quote window, you are able to use the column names as if they are predefined functions.
We are going to cover the most common context functions in this tutorial.
We have spent a lot of time on the syntax of the quote formula language. But we never spend any time to talk about the maintenance of the formulas we have written. Since we have covered enough ground on writing formulas, it is time to address this important concept.
To improve the readability of our formulas and help ourselves to maintain the formulas, comments are used to explain to ourselves the what and why our formulas are written in a particular way.
All the previous tutorials focus on a single statement formula at works. For some users, that limits what they wanted to do. In order to be able to utilize multiple formulas, say, within a single quote column, or, within one cell in the dynamic grid, the usage of assignment and multiple statements is necessary.
Due to the complex nature of the data series functions and indicators, from time to time, the basic access techniques we’ve learned in Tutorial 5 and Tutorial 6 are not enough to cover some special needs. We are going to discuss the more advanced syntax in the quote formulas that enable you to do more.
There are four (4) types of extended syntax in the quote formula that I will discuss in this tutorial, so expect this tutorial a bit longer than usual.
Indicators usually exist on charts only. That's because indicators require data series to operate on. By having data series available in quote formula, it is natural to bring indicator series into quote formulas as well.
By having indicators accessible in quote formulas, you can easily display any indicator related information in the quote window, in any combination you want.
All the tutorials so far concentrate on the utilization of quote fields. From this tutorial onward, the focus will shift to the display and analysis of data series. The ability to embed data series in quote formulas sets apart NeoTicker quote formula from the rest of the applications available today. By mastering the use of data series within quote formulas, you will be able to summarize more information than you can ever imagine.
There are times that we want to display values based on certain decision making process. For example, we may want to show the size of the gap if the market gap up, and zero if that is not the case. This is a job for the relational operators, boolean operators and decision functions.
Being able to do calculations based on quote fields is nice. The issue is that the possible combinations are pretty limited. What if we want to know the closest round number to the Last price? Or, we want to display the greater of the current day high and the 52-week high?
When we need to derive information from the basic quote fields, we use functions.
In this tutorial, we’ll focus on the parts that make up the formula language and how that works together.