Online retail in China and North America do well
New calendar for quant trading online events
I just got an email notification from Meetup so see below. As you can imagine, this blows big time. As a way to comply, I have built a new Calendar for all my online events (webinars).
As you can imagine, there will be no push notifications anymore because of this notice. I would recommend everyone to join my Facebook Quant Programming group at https://www.facebook.com/groups/quantlabsnet/.
Just so you know,, I have tested various deliveries for these Webinars. I will be using Facebook LIVE to on Mondays at 6 PM EDT with my private Quant Elite/Analytics at 8PM EDT on Mondays aswell. Once again, the public webinars will take place at the above Facebook group.
NOTE; You will need to be pre approved into the Facebook group before any of these events.
Lastly, I will be maintaining the Meetup groups for face to face as required by Meetup.com
Your Meetup, Quant Finance, was brought to our attention by members of the community. After reviewing these reports, your Meetup, and your account, we’re writing to make sure that you are fully aware of our Community Guidelines in order to comply with them.
Please make any necessary changes to align your Meetup with our policies. We really want to help you find success on Meetup. However, failure to align with our policies may result in the closure of your Meetup group and account.
We see that you are offering events that are not in-person. Meetups are intended to be face-to-face, local events.
While we understand your intentions are good, it’s important that all Meetups are facilitated in person by a local organizer rather than used as a scheduling platform for online meetings, conference calls, or webinars with no face-to-face or real-life interaction.
If you are unable to organize local, in-person Meetups please do one of the following: nominate a local co-organizer, step down as organizer, or use another platform to host your group.
You’ll find more information about our Community Guidelines here: http://www.meetup.com/guidelines
Please let us know if you have any questions or concerns.
Online CSTA preview talk on benefits of automated trading
2 hr video on
Video links thread on Online Meetup LIVE Event: NOSQL vs SQL database smackdown, which one for what?
There are so many databases usedbut what for what reason. I really want to investigate this with others online. If you are interested in our poll on this on popularity, please, visit:
This should also cover the experience with pros and cons of operating systems as well including Windows, Linux, or Mac OSX.
When? Dec 15 at 7 PM EST
This will be delivered online via Goto Meeting. Also note as will there will no playback other than for Quant Elite members after this LIVE event.
Ernie Chan online presentation of Pitfalls of Backtesting during Trading Meetup
Join Ram Venkat tonite at 7PM Eastern Standard Time to learn about how he uses Hadoop and R for his parallel processing with Python. This is on tonite via my GotoMeeting online virtual meeting. Login details:
1. Please join my meeting, Monday, October 15, 2012 at 7:00 PM Eastern Daylight Time.
2. Use your microphone and speakers (VoIP) – a headset is recommended. Or, call in using your telephone.
Dial +1 (647) 497-9373
Access Code: 275-963-877
Audio PIN: Shown after joining the meeting
Meeting ID: 275-963-877
Also, another Meetup is slated for North York Ont Monday 10/22 at 7pm EST.
Lastly, another Premium Membership Meetup is slated for Tues 10/23 on a complete walkthrough of my ARIMA modelling R script. It includes fast data capture as well as a function for automatic best fit.
–> Join now go get access to this Oct/23 event! <–
Got a question,? Let me know.
Online Meetup for Hadoop and R for Parallel Processing
Hadoop has been so popular as a parallel processing infrastructure, it is synonymous with ‘big data’ today. This presentation introduces Hadoop as well as executing R routines with Hadoop.”
Ram Venkat is an anlytics consultant in Toronto Area with focus on R, Python, Hadoop and MongoDB technologies. His interest in statistical areas include Customer Analytics with emphasis on Opinions, Trends, Associations and Clustering.