I have a pine script written that I am able to back test. Now I just want to setup an autotrading bot to trade futures 24/5 in Tradovate. Is there a platform to link the 2? I already have the ability to manual execute trades on Tradovate in Trading view (so they are linked). I just need to automate my script.
Tradovate will not release their API to anyone other than their partners.
if they don't have an api you can access, then sounds like the answer is no
Related
In Google Apps Script when you use the property: DocumentApp.getUi(), it gets the UI of the person who is using it. If you used DocumentApp.getUi().alert(), then it would send an alert to the person who is using the script. I am wondering if there is maybe a way to alert another person's UI in Google Apps Script and not the person who is using the script. Here is a sample of my code:
DocumentApp.getActiveDocument()
.removeViewer(userName.getResponseText())
.removeEditor(userName.getResponseText());
DocumentApp.getUi()
.alert("Your access is being removed.")
Now it would be wonderful and imagine all the possibilities if that were possible! Someone please help!
It is not possible to access the UI of any browser except the one which invoked the function. This is also why time driven triggers cannot display UI modals (they are executing nonlocally).
Can aws-lex be used to build a conversation flow bot?
For example:
Thank you very much!
Reason for all this: So we have our own "dialogue builder" and "bot-service".
Our own "Dialogue Builder": is maybe similar to Amazon Connect dialogue builder, and our own "Bot-service" is similar to Microsoft bot framework. Before we were using microsoft-luis to get "intention" of a sentence while using our own dialogue builder and our own bot-service to build a conversation/dialogues flow like if a user says "yes" then go to another flow and if a user says "no" then go to different flow (can this be done in slots?) === Binary tree :)
So now we are switching from luis to aws-lex and trying to think if it is possible to just use aws-lex UI and not our (dialogue builder/bot-service) anymore. But what I am understanding is that to use aws-lex without some kind of dialogue builder we would need to write alot of if/case statements if it contains large data, right? what is your suggestion? One way would be to just use "Amazon Connect" to utilize their dialogue builder so we don't have to write alot of if statements but then if we are using dialogue builder we can just use our own (old one) dialogue builder? what do you think?
Questions:
1)Is there a way to do something like this in aws-lex or not? I tried using slots/prompts/lambda but I am not able to go to 2nd or 3rd level depth in diagram. can be done somehow?
2) Do I have to use lambda and use "switch/if conditions each time it has to change the flow (ex: if answer is yes then reply this, and if no then reply this)?
3) If #2 is true, then is it possible for it to be used by non-developer. Even if I write if/conditions ~1k - 2k if conditions, then if a person (non-developer) tries to edit a dialogue/or-something through UI won't able to do it, right? (So does this mean that we are't really using UI of aws-lex, we are just writing "if conditions" in programming + using aws-lex "intention" to get intention, right?
4) Would it be possible to give example and show how making a flow is possible? So far using slots replies/responses don't change based on user's input. It doesn't matter if users says "no" or says "yes" it is going to reply with same path/answer. Is there a way to change reply based on user's input.
5) If #3 is not possible (non-developer) can't use aws-lex UI to make something like this, should we use custom dialogue builder which does this?
Thank you very very much!
It sounds like you're switching from the Microsoft Bot Framework to find a simpler solution to structured flows without entity recognition.
You may want research Microsoft's QnAMaker multi-turn ability. It's supported in the QnA Maker online editor, but not in the bot framework SDK (yet). They do have an example bot that uses it through the Web API.
https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/multiturn-conversation
I realize this doesn't answer you Lex question, but might address your concern.
Dialog can do almost everything according to the bot framework documentation, but it will take a lot more time to investigate than FormFlow. I failed to find a place that have lots of samples of bot framework yet. At the moment, before I spend a lot of time to try dialog, anyone know if it's possible to chain commands using FormFlow.
The work I am trying to do is to code a chain of commands:
query records
select a record from the results
actions/operations on the record
etc...
Really appreciate if anyone familiar with Bot Framework can help me on this.
Use the IDialogStack.Call method in your FormFlow handlers to call another dialog and push it on the stack.
Then use the IDialogStack.Done method to pop it off the stack. Both described here.
I want download search volume trends from google adwords based on the target location and product category. Can Someone guide me to write a script that can automate the process.
If download is not possible, let it share to my google drive account with the specified name(category name)
Edit:
I am trying to automate the below process for an Adwords - Keyword planner.
Login to adwords
Select Target location
Input Category and click on Get Ideas
Downloading the keyword ideas as CSV and save it.
Something like a PHP bot
Since you're considering
to write a script that can automate the process
One way this can be done, is via PowerShell's WebClient. And it's .DownloadFile Method (String address, String fileName). The scripts (Cmdlets) actually are specialized .NET classes, which the PowerShell runtime instantiates and invokes when they are run. Cmdlets derive either from Cmdlet or from PSCmdlet, the latter being used when the cmdlet needs to interact with the PowerShell runtime. Also The implementation of these cmdlet classes can refer to any .NET API and may be in any .NET language.
I made a desktop music application in adobe air.
I want to update the status of some IM clients running EG: Yahoo messenger,Gtalk,AIM,MSN etc.
with the current playing song.
I am not desktop developer.This is first time i am making something for desktop.
SO is there any way in any Programming language that i can make something which will change the Data (Status message) of a running IM client.
Please Just guide me through this problem .
Edit: I dont want to ask for username/password of users IMs accounts , so via API is not a solution in this case .
It will be like Person X running mine music application and also logged to various third party IM clients (YIM,Gtalk etc).
SO if he is playing a song in the music application , then mine app will update presence status message on the IM clients to " Listening to bla bla song ".
So it is like high-jacking/Hacking the data of the running third party IM client.
Have a look at libpurple, it might have the functionality you require.
There is also telepathy, but I think it is related to the former somehow (one uses the other or they do the same thing).
EDIT: for the recent edit: it looks to me like you want something like MSN Messenger displaying the currently playing track in Windows Media Player. This requires a plugin for the messaging client, no way around that.
Perhaps an easier way to get this done would be to develop a plugin for one of the numerous multi-platform IM clients such as GAIM or Trillian. This would let you target stuff across the board without undue effort . . .
I think your only option is to write a plugin for each chat client you want to target, which could take some time.
So let me suggest an alternative: Add last.fm audioscrobbler support to your application. You would simply send the Now Playing info to last.fm via the API (http://www.last.fm/api/submissions), and it will appear on the user's profile page. Most music players already support this method because it's a pretty popular service, and a lot of people link to their last.fm profiles on their blog/facebook/etc.