Is it possible to access real time computed values of Indicators , inorder to set Alerts on them (eg. Stochastic D-K crossover)?
The available Tick types (link) provided in Tws-api doesn't mention any way to access them.
Not unless you want to subscribe to market data and calculate the indicators yourself.
It is not possible to interact with indicators at all via the api.
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I need help I integrate firebase analytics in my flutter projects. Wrote some custom events and want to work with data from this events, that why i create metrics and dimensions but it doesn't work because I got data thresholds, and got this message:
Data in a report or exploration may be withheld when Google signals is enabled and you have a low user count in the specified date range.
So, my question is, how can I turn off this data threshold?
Because my app now, using only 5-10 people and I understand that it not enough for analytics but I read docs and found that possible turn off google signal and all should work. Can some one help me with it?
By default, Google Analytics uses a "User-ID" for tracking users across devices and sessions, that must be provided by the developer. If you are not tracking users by ID however, it appears (based on experience) that events will always have a warning triangle with "thresholding applied", even with a large event count over a long time, say 50k events over a year.
One solution is to switch to device-only reporting, as it is not subject to thresholding. Of course, if you do track users with a persistent ID, this will not apply to you, in which case you may want to check that the user ID is being set properly so that Google Analytics can determine that the thresholds for reporting are being met with enough users.
If device-only reporting is an option for you, you can change this setting like so:
Log in to Google Analytics
Go to Admin in the lower left corner with a gear icon (not the Configure menu!)
Select your "Property" in the top right area, meaning the project for which you want to make this change. You may only have one which is already selected.
Select Reporting Identity
Select Show all, if visible
Select Device-based
Save your change
Google also provides some instructions on how to do this here.
Finally, I have seen this setting change from device-based to something else as Google changes how data is collected, so you may need to revisit this setting and re-confirm device-based.
There is no way to change the thresholds that Google Analytics uses in its reports.
Your only option to get access to this data is to enable the integration between Analytics and BigQuery in your Firebase project, and then perform your own reporting on the BigQuery data.
I am trying to simulate a buy side client who could send order to an exchange, receive execution reports and further cancel / replace orders. QuickfixJ Banzai swing based UI seems like an ok fit given it’s free and our startup doesn’t want to spend a lot of money for this.
Currently the Benzai UI only has specific text boxes to send orders with fields for symbol, qty etc. I was wondering if someone has come across an extension to this swing UI example which takes messages in a freeform text area so that we are not limited by the number of economic fields exposed in the UI and could send any other fix messages in the text area.
Another tool that comes to my mind is http://fixpusher.sourceforge.net/
AFAICT it is not maintained anymore and probably is capable of more than what you want.
But if you have a little of Java coding experience, how hard can it be to add a text box to Banzai and call MessageUtils.parse() on its contents?
I was going to start developing programs in Google cloud Pubsub. Just wanted to confirm this once.
From the beam documentation the data loss can only occur if data was declared late by Pubsub. Is it safe to assume that the data will always be delivered without any message drops (Late data) when using a global window?
From the concepts of watermark and lateness I have come to a conclusion that these metrics are critical in conditions where custom windowing is applied over the data being received with event based triggers.
When you're working with streaming data, choosing a global window basically means that you are going to completely ignore event time. Instead, you will be taking snapshots of your data in processing time (that is, as they arrive) using triggers. Therefore, you can no longer define data as "late" (neither "early" or "on time" for that matter).
You should choose this approach if you are not interested in the time at which these events actually happened but, instead, you just want to group them according to the order in which they were observed. I would suggest that you go through this great article on streaming data processing, especially the part under When/Where: Processing-time windows which includes some nice visuals comparing different windowing strategies.
I need to emit the same events (Start/End/Rollback) from a message flow twice - as they need to be consumed by two different data services who require different data. So I need two monitoring profiles applied to the same flow.
Is this possible?
When actually consuming the data, I plan to use subscription filtering to differentiate the events emitted from the two profiles.
I don't think it is possible to have 2 monitoring profiles attached.
But you can always reprocess the monitoring event messages in an other flow. So the flow which you are monitoring could emit events with all the data needed in them while a second flow can transform these and create the different messages you need for the different consumers.
I have an iOS App where a sequence of three events spread across three Pages constitute a single Journey.
I can log each page view and single events via flurry.
But can I log the entire sequence as a single event ?
PS: I considered using timed events but didn't seem like the best fit.
Are you trying to track the conversion of this particular journey. If yes, then this is definitely possible by creating a funnel of these three specific events. For more information on funnels please refer: http://support.flurry.com/index.php?title=Analytics/Overview/Lexicon/FunnelAnalysis
However, if you are trying to log this particular journey as one single event, then that also can be done. You need to flag all the three events/pages and create an event, which gets triggered/logged when all three flags are true.
If you need further details please reach out to us in support#flurry.com.
Thanks