We are trying to let NetLogo take the real time data, but we didn’t found any threads helpful online that tells how.
We used historical stock price data to train our agents in the first stage. After the end of the training phase, we would like to use real time data to test the strategies generated by agents. In order to do this, we will need NetLogo to take the real time data online. Is there a way to let NetLogo to read stock prices online, eg. Yahoo Finance, and run automatically?
Could you please give us some hints on how to implement this in NetLogo? If NetLogo is incapable of doing this. Can anyone suggest other agent-based modeling tools that can do this?
Thankssssss.
You can use the NetLogo web extension to get real time information from any stock price API.
Looks like Yahoo has a pretty simple API.
To use their API to, for example, get Google's latest stock price, you'd do something like:
web:make-request "http://download.finance.yahoo.com/d/quotes.csv" "GET" [["s" "GOOG"] ["f" "l1"] ["e" ".csv"]]
Currently this gives me:
observer> show web:make-request "http://download.finance.yahoo.com/d/quotes.csv" "GET" [["s" "GOOG"] ["f" "l1"] ["e" ".csv"]]
observer: ["556.65" "HTTP/1.1 200 OK"]
That result is a list where the first element is the actual contents of the response (in this case, the price as a string) and the second is the whether or not the request was successful. 200 means it worked.
Related
I've got 3 different product types of agent, which each go it's individual path within the fabric. How can i measure the average time the product type spends in the system?
My logic looks like this , and i wanted to implement the measurement in the first service, like this:, it will be completed in the last service like this :
Now I get some really high numbers, which are absolutely wrong. The process itself works fine, if you run the measurement with the code "//agent.enteredSystemP1 = time()", you will get a mean of 24 minutes, per product. But how can i get the mean per product type?
Just use the same if-elseif-else distinction in the 2nd service block as well.
Currently, any agent leaving the system adds time to any systemTimeDistribution
I hope you can help me.
What I have is some metric data I am collecting. I want to send out an alert, when I reach a specific error-rate on these metrics.
To make clear, my data looks something like this:
Timestamp
value (the runtime of a query)
state (error, success)
api-endpoint called
I have a grafana-Board doing some calculations, drops out something linke this:
error-rate
api-endpoint
number of calls made to the api endpoint
Fine for now - as I can read out on my grafana, I am able to send some error-messages/warnings, if the error-rate is too high. Works like a charm. But now comes the point:
If the first two (e.g.) calls to a specific api fail, I will instantly receive an alarm send by my grafana. I do not wan't that!
Is it possible - and if: how? - to alert me ONLY if this specific request was executed at least 5 times? It is no problem if this is a generic alert like "hey, something is wrong!" - but I need to figure out if the request triggering the alarm with 50-100% error-Rate was at least executed a specific amount of time before alarming.
It has to be done based on tags/fields, I do not want to add a single query for all of my 35+ APIs (number growing).
Any Idea anybody?
Using Grafana 8.0
Using InfluxDb 1.8 (with Flux enabled)
Just to make clear, if everyone ever want's to do the same: FluxQL is king - you can use filter functionality in there and only base data on datasets where value count is greater than X.
Yes: FluxQL is damn hot. I love it since a few month.
I have a stock agent which is created in the end of my production line. My products are characterized by their model. I'm trying to create a logic to take out the products from this stock agent when they are to be delivered to the client. This delivery is controlled by an excel sheet and I'm taking the information through a SQL code. However, I was not able to find the right code to take out the products which are to be delivered. My agent population is called ProdutoStock and it's located in my main screen.
I have tried: Main.remove_ProdutoStock() but i couldn't figure out the arguments that i need for this function, since i have to take out of the agent a specific number of agents and also of a specific model.
So, I decided to create a wait block and use the free function to free the specific agents i wanted main.waiting_delivery.free() but i also can't figure out the necessary arguments for this function.
Would someone have any idea how I can take out of my agent/line the products that I need to deliver for my client (considering quality and also model)? This code is not being typed into my main screen.
the argument of the free method is the agent itself.
So you have to do main.waiting_delivery.free(yourAgent);
If you want to free the last agent that entered the wait block:
if(main.waiting_delivery.size()>0)
main.waiting_delivery.free(main.waiting_delivery.get(0));
If you want to free agents following a certain condition
List <YourAgent> theAgents=findAll(main.yourAgentPopulation,a->a.condition==true);
for(YourAgent a : theAgents){
main.waiting_delivery.free(a);
}
I have a JMeter project with multiple GET and POST requests and assertions for these. I use Aggregate results and View results tree listeners, but none of these can store results on hourly basis. I tried JMeterPlugins-Standard and JMeterPlugins-Extras packages and jp#gc - Graphs Generator listener, but all of them use aggregated data instead of hourly data. So I would like to get number of successful and failed requests/assertions per hour, maybe a bar chart would be most suitable for this purpose.
I'm going to suggest a non-conventional design-level solution: name your samplers dynamically with hour (or date and hour), so that each hour the name will change, and thus they will appear in different category, i.e.:
The code for such name is:
${__time(dd:hh,)} the rest of sampler name
Such sampler will appear in the following way in Aggregate Report (here I simulated it with minutes/seconds, but same will happen with days/hours, just on larger scale):
Pros and cons of such approach:
Simple, you can aggregate anything by hour, minute, or any other time slice while test is running, and not by analysis after execution.
Not listener-dependant, can be used with pretty much any listener or visualizer
If you want to also have overall stats, it will require to sum up every sub-category. So it alters data, but in the way that it can still can be added back to original relatively easy.
Calculating __time before every sampler will not be unnoticed completely from performance perspective, but I don't think it will add visible overhead to a script.
You could get the same data by properly aggregating JTL or CSV (whichever you use) after execution, so it doesn't provide you with anything that is not possible to achieve using standard methods
Script needs altering to make this happen. if you have 100s of samplers, it's going to take a while. And if you want to change back...
You might want to use Filter Results Tool which has --start-offset and --end-offset parameters, you can "cut" your results file into "interesting" pieces and plot them according to your requirements.
You can install Filter Results Tool using JMeter Plugins Manager
Also be aware that according to JMeter Best Practices you should
Use as few Listeners as possible; if using the -l flag as above they can all be deleted or disabled.
Don't use "View Results Tree" or "View Results in Table" listeners during the load test, use them only during scripting phase to debug your scripts.
You can get whatever information you need from the .jtl results file, you can specify test results location via -l command-line argument
To get summarized results per hour add to your test plan Generate Summary Results:
Generates a summary of the test run so far to the log file and/or standard output
Update interval in jmeter.properties to your needs ,1 hour, 3600 seconds:
summariser.interval=3600
You will get summary per hour of your requests.
You can try with Jmeter backend Listener. It has integration with graphite and Influxdb. After storing the results in these time series database you can display the result in Grafana dashboard. Grafana has its own filtering of showing the results in hourly, monthly, daily basis and so on.
Is there any way to get Profit and Loss(daily & total till date) on a particular trade made on IB TWS through its Java API?
You can, but not in the way you seem to be asking. All profit and loss in the API is calculated by you until the trade is closed and then you can use the commissionReport method of the wrapper. A commissionReport is sent after every execDetails. API doc
You can always check your statements for previous profits and losses.
The flow is like this.
place trade and get fill price from execDetails
get opening commission from commissionReport
on every tick calculate open position profit, use bid/ask for realism, but it's all forex has anyway
close trade and get price from execDetails
get commission from commissionReport again
calculate closed trade profit/loss
also note that commissionReport has a field m_realizedPNL you can use, but I've never tried it.
In the TWS v9.72+ API there is a reqPnl method on the EClient which can be used to subscribe to real-time PnL (unrealized and realized) updates for a full portfolio via the associated method on the EWrapper
https://interactivebrokers.github.io/tws-api/classIBApi_1_1EClient.html#a0351f22a77b5ba0c0243122baf72fa45
Additionally, for a single contractID, you can use: reqPnLSingle on the Client.
https://interactivebrokers.github.io/tws-api/interfaceIBApi_1_1EWrapper.html#aebeb008f2b763d7bed2969b66bbd1b33
you may presubmit the order, to see all calculations, like the commission and margin impact of the order.
to do that, set whatIf=True in the order definition.
you'll then receive openOrder events, with all the calculations made for you.