Tag Archives: beta

MotiveWave 6 beta 1 trading platform announced #announced #beta #MotiveWave #platform #trading This is send from MotiveWave. I must say this version looks like one of the strong retail trading platforms out there. I am expecting to use this for analysis with Oanda only for now. Here is the message: We’re excited to announce that we’ve freshened up our look with a new logo (we like it, what do you think?) and we’ll be updating our website with new content very soon. We are also happy to announce that MotiveWave Version 6 beta 1 has been released. As usual, there are quite a few new features and enhancements including: Major enhancements to the DOM Cloud Workspaces Auto Backup Continuous Contracts Custom Columns Watch List Flags & Filtering Gauges Support & Resistance Zone components a Profit/Loss Calculator and more… You can see highlights of the new features in the What’s New in Version 6 Beta 1 video on our YouTube Channel or on the MotiveWave home page. You can see the What’s New in Version 6 Beta 1 Guide PDF or you can access the guide on our Download page on our website. https://www.youtube.com/watch?v=jxKVdeReqJc&feature=youtu.be Link: https://quantlabs.net/blog/2019/02/motivewave-6-beta-1-trading-platform-announced/

MotiveWave 6 beta 1 trading platform announced This is send from MotiveWave. I must say this version looks like one of the strong retail trading platforms out there. I am expecting to use this for analysis with Oanda only for now. Here is the message: We're excited to announce that we've freshened up our look with a new logo (we like it, what do you think?) and we'll be updating our website with new content very soon. We are also happy to announce that MotiveWave Version 6 beta 1 has been released. As usual, there are quite a few new features and enhancements including: Major enhancements to the DOM Cloud Workspaces Auto Backup Continuous Contracts Custom Columns Watch List Flags & Filtering Gauges Support & Resistance Zone components a Profit/Loss Calculator and more... You can see highlights of the new features in the What's New in Version 6 Beta 1 video on our YouTube Channel or on the MotiveWave home page. You can see the What's New in Version 6 Beta 1 Guide PDF or you can access the guide on our Download page on our website. https://www.youtube.com/watch?v=jxKVdeReqJc&feature=youtu.be Link: https://quantlabs.net/blog/2019/02/motivewave-6-beta-1-trading-platform-announced/

[igp-video src=”” poster=”https://scontent.cdninstagram.com/vp/093b163f2b2e6c60791413094840b6dd/5D15BDAD/t51.2885-15/sh0.08/e35/s640x640/52952786_1168770979965185_938371711947088734_n.jpg?_nc_ht=scontent.cdninstagram.com” size=”large”]
MotiveWave 6 beta 1 trading platform announced #announced #beta #MotiveWave #platform #trading This is send from MotiveWave. I must say this version looks like one of the strong retail trading platforms out there. I am expecting to use this for analysis with Oanda only for now. Here is the message: We're excited to announce that we've freshened up our look with a new logo (we like it, what do you think?) and we'll be updating our website with new content very soon. We are also happy to announce that MotiveWave Version 6 beta 1 has been released. As usual, there are quite a few new features and enhancements including: Major enhancements to the DOM Cloud Workspaces Auto Backup Continuous Contracts Custom Columns Watch List Flags & Filtering Gauges Support & Resistance Zone components a Profit/Loss Calculator and more... You can see highlights of the new features in the What's New in Version 6 Beta 1 video on our YouTube Channel or on the MotiveWave home page. You can see the What's New in Version 6 Beta 1 Guide PDF or you can access the guide on our Download page on our website. https://www.youtube.com/watch?v=jxKVdeReqJc&feature=youtu.be Link: https://quantlabs.net/blog/2019/02/motivewave-6-beta-1-trading-platform-announced/

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MotiveWave 6 beta 1 trading platform announced

This is send from MotiveWave. I must say this version looks like one of the strong retail trading platforms out there. I am expecting to use this for analysis with Oanda only for now.

Here is the message:

We’re excited to announce that we’ve freshened up our look with a new logo (we like it, what do you think?) and we’ll be updating our website with new content very soon.

 

We are also happy to announce that MotiveWave Version 6 beta 1 has been released. As

usual, there are quite a few new features and enhancements including:

  • Major enhancements to the DOM
  • Cloud Workspaces
  • Auto Backup
  • Continuous Contracts
  • Custom Columns
  • Watch List Flags & Filtering
  • Gauges
  • Support & Resistance Zone components
  • a Profit/Loss Calculator
  • and more…

You can see highlights of the new features in the What’s New in Version 6 Beta 1 video on

our YouTube Channel or on the MotiveWave home page.

 

You can see the What’s New in Version 6 Beta 1 Guide PDF or you can access the guide on

our Download page on our website.

 

 

Testing MotiveWave 6 Beta with CFD watchlist

New MotiveWave 6 beta 1 testing best forex pairs now

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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

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How to calculate beta ATR implied volatility with IQFeed in Python

How to calculate beta ATR implied volatility with IQFeed in Python

Because of this literal showstopper, I have decided to find a few workarounds on a non Windows environment

I AM OFFICIALLY DUMPING MICROSOFT WINDOWS 10

Here are some links and Python code to help you out

#https://pypi.python.org/pypi/stockstats
import stockstats
import pandas as pd

#better to use IQFEED to create CSV
#create csv from http://stackoverflow.com/questions/22991567/pandas-yahoo-finance-datareader
#use Gaspare Bonventre answer
stock = stockstats.StockDataFrame.retype(pd.read_csv('stocks.csv'))
print stock.get('atr')

#calculate beta (R Squared) from http://gouthamanbalaraman.com/blog/calculating-stock-beta.html
#implied volatility with option pricing
#http://stackoverflow.com/questions/35391850/implied-volatility-calculation-in-python

 

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Smart beta crucial to measure trading risk

Smart beta crucial to measure trading risk

This is an import risk metric I use to assess when choosing a long vs short in my upcoming Abritrage Phase of upcoming trading course. See video below to see detail of this next phase which should start early May

Thanks to Super Nuno who sent this via my Facebook group

http://www.ft.com/intl/cms/s/0/57e86722-d3cb-11e5-829b-8564e7528e54.html#axzz412t4u5UT

Python algo course series for your Indie Automated Trading Business

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Simple demo of implied volatility and beta in Python

Simple demo of implied volatility and beta in Python

1/10th the amount of code vs C++ but ok for simplified arbitrage trading

Beta defined:

http://www.investopedia.com/articles/financial-theory/09/calculating-beta.asp

Code:

http://docs.scipy.org/doc/scipy-0.16.1/reference/generated/scipy.stats.linregress.html

http://quant.stackexchange.com/questions/11397/estimate-implied-volatility-using-newton-raphson-in-python

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DLib best for beta calculation in Python and C++

DLib best for beta calculation in Python and C++

This library works with both languages for calculating something like Beta using this formula.

http://www.investopedia.com/articles/financial-theory/09/calculating-beta.asp

http://dlib.net/algorithms.html

Follow instructions in readme.txt

I got during cmake –build .

0: fatal error:
‘X11/Xlocale.h’ file not found
#include <X11/Xlocale.h>

You may need to install for Mac OSX:

brew install x11

brew update

This could help:

https://sourceforge.net/p/dclib/discussion/442518/thread/b479b400/?limit=25

NOTE I abandoned this as it I could not build

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Interactive Brokers: Beta Weighting in the IB Risk Navigator

Interactive Brokers: Beta Weighting in the IB Risk Navigator

This an impressive feature for beta weighting

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SQL Server 2016 beta out with R analytics

SQL Server 2016 beta out with R analytics

When you figure with the decision to stick with Windows despite all the bashing, it seems Microsoft still rules with SQL Server and Visual Studio. Check out some of the features:

…new technology that lets you dynamically stretch your warm and cold transactional data to Microsoft Azure, enhancements to our industry-leading in-memory technologies for real-time analytics on top of breakthrough transactional performance and new in-database analytics with R integration.

http://blogs.technet.com/b/dataplatforminsider/archive/2015/05/27/sql-server-2016-first-public-preview-now-available.aspx

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Custom risk management tools Beta Kelly Criterion Position weighting

Custom risk management tools Beta Kelly Criterion Position weighting

Very important set of custom source code I worked on in the past

This all available for my ELITE MEMBERS.

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My Meetup will focus on this in the next few days

My Risk Management Toolbox Arsenal

Monday, May 25, 2015, 7:00 PM

GotoMeeting Webinar online
GotoMeeting Webinar online Toronto, ON

9 Researching Traders Went

My Risk Management Toolbox Arsenal I will be talking about what I have as options for my risk management in this new automated trading system I am building. I will detail more as we get closer to the date. My demos will be done in Matlab.

Check out this Meetup →

My Risk Management Toolbox Arsenal

Monday, May 25, 2015, 7:00 PM

8 Members Went

Check out this Meetup →

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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!