There are a few symbols that don’t exist. Remove .DJI and CICS

I’ve updated the code to support the new API’s from https://iextrading.com/developer/docs/#stocks. Which BTW, doesn’t even require registration.

I’ve found a web service which provides free intraday stock quotes. You will only need to register to get an API key.

https://www.alphavantage.co/support/#api-key

The code in the module will need to be modified though to parse a different payload result. I will try to update it today or tomorrow.

You will need to communicate via the API’s that these services provide. For example flickr has this:

https://www.flickr.com/services/api/upload.api.html

@trividar I don’t see anything related to the motiondetector in your logs. It seems the error coming from the mmm-systemperature/node_helper.js

@trividar My apologies. This should be fixed. Just pull the latest.

Hi All,

I’ve revamped the motiondetector module to use a more optimised code to detect the motion from the web camera. The old one was performing very poorly. The new code works many times better. Just pull the latest from

https://github.com/alexyak/motiondetector

• Alex

@ZTA0796 The object that you get int the stocks.js is the deserialized javascript object. In your case it’s going to be a single row object. You could just access the properties list this:

this.result.symbol, this.result.price, etc…

-Alex

@ZTA0796 Could you show your code?

@ZTA0796 The original code does a hardcoded substring on the result:

var result = JSON.parse(body.substring(3, body.length));

You probably don’t need to do that.

This is all nice and dandy but configuring and installing all of these dependencies and then making this run is really fragile process. On a top of that it seems like RPI hardware is not really capable of running this. So a few days ago I’ve got Amazon’t Alexa device - Dot and spend sometime connecting it to the MM on RPI and it works very well. (Voice recognition, passing commands, parameters, etc…)
So essentially we are bypassing all of this goo that these guys put together such as Speech AI, Voice Reco, TTS and connecting the result to MM.

@wjdw87 of course it wouldn’t run Raspbian because it’s built specifically for RPI. I’d stay with Windows.

@wjdw87 The links are on the Youtube page

Here’s how the module based on WebGL looks like on my dev box:

https://www.youtube.com/watch?v=1L9yofDD-Ic&feature=youtu.be

It displays twitter stream of the tweets that have location. Red lines signify the negative sentiment and green positive. White is neutral.

Small correction about WebGL on RPI - the chromium/hardware will not even run. You will an error message that it’s not supported.

@bibi Macbook Pro

@bhepler it is an overkill. Atom based quad SoC with 4GB RAM should be enough.

Here’s the alternative that you can use:

https://www.amazon.com/MINIX-Fanless-Windows-Dual-Band-Ethernet/dp/B01M1LA8MB/ref=sr_1_15?ie=UTF8&qid=1479087997&sr=8-15&keywords=Minix

@bibi this code utilizes WebGL which brings RPI to its knees. You can run the MM on a different more powerful hardware, though. As for the module, I have got a POC working on my dev box with a sample data.

There’re 3 major ways you can develop apps for mobile devices:

• Native
  iOS - XCode IDE with Objective-C or Swift languages (You will need Mac for this)
  Android - Andoid Studio (Java language) - PC or Mac

• Hybrid
  Combination of a native host with Webbrowser control + HTML\JS. There’re a lot of frameworks out there. The most popular one is Cordova/Phonegap

• Xamarin
  .NET based developer tools and runtime that work for iOS and Android. It was recently acquired by Microsoft and have free versions.