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Hello everyone,
Today when i was using optuma for seasonality research, i wonders if we can put seasonality chart and watchlist together , in this way it is more easy to identify favorate sectors on monthly basis.
What’s your guys idea?
Have a good day
Yan
Hi Yan,
You can already have a Watchlist setup alongside a Seasonality chart, and have the chart update as you click on a code, is that what you were after?
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Hi Yan,
You can already have a Watchlist setup alongside a Seasonality chart, and have the chart update as you click on a code, is that what you were after?
Hi Matthew, i can use the solution, but this is not what i am looking for.
In fact, rather than using Optuma as a tool to make financial gains in the market, i use it to do research on sector rotation stuffs or seasonality studies even cycle fluctations, sometimes some reaches in the real world rather than digital numbers.
So a solution like this would be rather helpful. It gives us a overall look on how the market works directly.
I know it’s a lot to ask…So i just want to ask, if there is any possibility to start such a project in the future. That would be a lot help for investing rather than trading chart.
Thanks
Yan
Hi,
When you open a Seasonality chart, there is an option on the left side Actions panel which allows you to Copy the raw values to Clipboard, which can then be pasted into Excel in a similar format to your example…
This is on a per code basis, it can’t be done for a large list of codes at once.
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Hi,
When you open a Seasonality chart, there is an option on the left side Actions panel which allows you to Copy the raw values to Clipboard, which can then be pasted into Excel in a similar format to your example…
This is on a per code basis, it can’t be done for a large list of codes at once.
Hi Matthew,
Yes, i do use this manually from time to time. But it is not a permenant solution IMO. Since i have over 150+ index and sometimes i do some research not only on sector basis, it becomes a enormal amout of work to me.
So i just proposed that using watchlist as a solution. It’s a little wired but there is a value in it in the long term.
Just my opinion, waiting for your guys verdict. ~~
Yan
Hi Yan,
The quick answer is no, that can’t be done.
The longer answer is that a rewrite of the seasonality engine is on my to do list. Part of my ideas are to create scripts for seasonality.
At this point I am way behind schedule on a number of projects, so I have no idea when I will get to this.All the best
Mathew
Hi Mathew,
Just wanted to add something here in regards to seasonality..
Since so much of the industry references quarters (q1, q2, etc) I feel it would be a useful addition to have in the seasonality module the option to display “quarters” in addition to weeks, months, etc. I currently have found ways to use the signal tester to produce similar results to gather data for specific quarters but it would handy to have the quick ability to do this in the seasonality module. Further, a “QuarterNum”() type function (1,2,3,4) would also be useful and save some time for scripts as well.
Jeff
Hi Jeff,
I’ll log those suggestions for the devs to have a look at when we are next in those areas.
All the best
Mathew
Hi Yan,
The quick answer is no, that can’t be done.
The longer answer is that a rewrite of the seasonality engine is on my to do list. Part of my ideas are to create scripts for seasonality.
At this point I am way behind schedule on a number of projects, so I have no idea when I will get to this.All the best
Mathew
Hi Mathew,
Take your time. I am not seeking immediate solution. Generally i just bring up a question and looking for an solution in the next 2-5 years.
If you say that you will take it under consideration then it’s good enough for me. We can return to the question later when you and your team have more time to discuss the project.
I know that you guys are busy focusing on the 2.0 version. We will talk about this later.
Best wishes.
Yan
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Hi Mathew,
One more request for seasonality:
Can we add more statistics in the info box?
Specifically showing 1) # of UP occurances 2) # of DOWN occurances 3) %’s would be helpful too to compliment the first two, (ex: Down 50 of 72 samples, 69.4% of time), 4) and perhaps any other stats like the median, etc..Jeff
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I’ll add it to the list!
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