Tag Archives: Android?

Open source Android with NO Google tracking

I got this from someone today. I think it is important to realize these type of open source projects exist for mobile without the Google or other third party tracking. Cool Huh?

https://lineageos.org

https://en.wikipedia.org/wiki/LineageOS

Just FYI

https://forum.level1techs.com/t/google-caught-tracking-phones-with-location-services-turned-off/121526/7

Do I have to worry about Google knowing my location if I use LineageOS without google play services? from LineageOS

Fun fact, using privacy guard on lineage I disabled all permissions for “google play services” and my phone drained the battery in about an hour. The app had hundreds of thousands of denied requests to use sensors and network.

This was thanks to Apple screwing around in their customer so I am looking for an forward looking alternative with third party tracking

New XLQ for Bitcoin and Cyrptocurrency with Coinmarketcap access

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

New Python packages for GUI and Google Android deployment

As I am looking at my new options for Python package deployment for GUI, it seems Kivy is the answer which is now regularly updated in 2017

Note: I am not too worries about speed at this point since I am not interested in trading subsecond level. I think 5-10 second polling should be fine for now.

https://wiki.python.org/moin/GuiProgramming

https://kivy.org/#home

Video demos as well

I would have originally gone with WXPython but that appears to be abandoned since it does not support Python 3

Android

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Hoe to Running Tensorflow Machine Learning Models on Android

Guide to Running Tensorflow Machine Learning Models on Android

I was amazed by this Youtube channel source revealing this combo. It actually made me rethink on the future of mobile but Google is doing a decent job to convert machine learning models from desktop to cloud and even mobile. Even the author of this Youtube channel seems to mock the artificial intelligence application of Apple. As you know, I love Apple but these kind of videos make me rethink my ML development strategy.

Watch this Video

Now, if you have been watching my Instagram account, a chart went up that proved machine learning is NOT outperforming standard methodologies by pros to look at the markets. This does NOT mean ML is valid, it means you need to apply the right uses for it. This includes real time analysis against your portfolio or high speed bid/ask trading strategies. Can you analyze like this as human? I do not think so.

Have you seen my last high performing charts from Bitcoin, Emerging Markets, and agriculture. If you had traded these, you could have been well onto your way for retirement. Check out my 20 minute video I just posted.

What more can I say within this video? I would take advantage of my deal for my Quant Analytics service https://quantlabs.net/blog/2017/07/incredible-trading-performance-calls-from-my-analysis/

It is quite telling on my Analytics Service I launched a few months ago.

I also have listened to a number of you on how you don’t want a service that automatically renews each month. As a result, I am offering new subscription ‘levels’. If you did not take advantage of last weeks 3 month, well I have extended the term for 7 months for the price of 5. As you know, this will not be promoted forever.

Buy Now

(You will not find this deal anywhere on my site as you are the only ones who see it!)

Here are some benefits of this service here.

Thanks Bryan

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Best stock chart libraries for Google Android?

As hinted here,

Here are my fave but important Machine Language resources

I am starting to think of focusing on Android now since they have a mature charting community vs IOS. Here are the best libraries I could find with examples

https://stackoverflow.com/questions/26467376/android-charting-libraries

Popular and most appropriate http://www.achartengine.org/content/demo.html

https://www.numetriclabz.com/android-candlestick-chart-using-mpandroidchart-library-tutorial/

https://github.com/tasosno1/MPAndroidChart-StockChart

https://github.com/PhilJay/MPAndroidChart

https://www.numetriclabz.com/android-candlestick-chart-using-mpandroidchart-library-tutorial/

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Guide to Running Tensorflow Machine Learning Models on Android

This could change my view on IOS Mobile if I can easily tiesthese two technologies as provided by this video channel

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

SciChart Apple iOS Android v2 is now in BETA

Personally I am excited to try this out

I tried building them from Github but Xcode generated numerous errors so I abandoned this for now

iOS Chart Features

We are really excited to announce, the result of a year of hard work and effort by our mobile team, that SciChart iOS/Android v2 BETA has been released today!

We are choosing to release today as a ‘BETA’ and invite feedback from our user-base. A full release will be done shortly, once we have polished everything and done final testing and checks.

// SciChart Mobile: A Huge Step Forward

SciChart iOS/Android v2 is a huge step forward in our iOS & Android charts. While our first version of SciChart iOS/Android benchmarked as the fastest Android and fastest iOS charts in the world, they lacked a few critical features that were important to would-be customers and creators of rich mobile charting applications.

Thanks to some brave early adopters, and great feedback from our iOS/Android customers, we have done a lot of work to improve our iOS & Android charts, and bring you Xamarin support in our latest major release, as well as a host of new features and improvements that will make your apps really stand out.

Read: What’s New in SciChart iOS/Android v2

// Features, Examples, Tutorials

We’ve added loads of new features in the second version of our mobile charts. In brief, these include:

Unification of the Android and iOS APIs.
Xamarin.iOS and Xamarin.Android support
New Themes and Theme manager support, custom themes
Logarithmic Axis on both iOS+Android Platforms
Stacked Columns and Stacked Mountain Charts
100% Stacked Columns and 100% Stacked Mountain charts
Gradient Lines & Palette Provider API
Error Bars Chart
Bubble Charts
CustomAnnotation
Dashed Lines
Vertical/HorizontalLineAnnotation
Inertial Scroll on both platforms.
Enhancements and improvements for trading (stock charting) apps.
Up to 60 examples for each iOS/Android platform, as well as 20 for Xamarin platform.
Maven package manager support for Android, Cocoapods for iOS, NuGet for Xamarin.
Swift 3 support for iOS, and performance enhancements for Swift users.
A set of tutorials to get started on both platforms!

Examples have been updated, so that we now have 60 examples for each platform (iOS, Android) and a further 20 examples for Xamarin.iOS and Xamarin.Android.

Each platform also includes a showcase application with some realtime scientific and trading charts to get you started creating amazing apps quickly.

We have also created a number of tutorials for each platform to get you started quickly.

// Where to get it?

We are publishing at the moment to BETA channels. These include Github (for examples), Maven (Android libraries), Cocoapods (iOS) and NuGet (Xamarin).

Shortly we will be announcing a full release, as well as delivering a number of website updates to show what you can do with SciChart, as well as help you get started with our amazing mobile charts!

Find out how to Download the BETA

// Send us your Feedback!

Send us your feedback, good or bad. We would love to hear it! 🙂

Best Regards,

The SciChart Team

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!