Do you multiple investment factors to be fed into machine learning data feature selection set. I explain all this video. I show some examples with Blackrock and Invesco.
Get Your Walking tour features of Quant Elite membership with #python 3 infrastructure course
HI there
We are now live with this new 3 month ELITE subscription. I have created an 11 minute tour to walk through the entire service. The video is below but it highlights a number of features which include:
1. The latest course of Python 3 Infrastructure Course for a Primitive Algo/Automated Trading System
2. Advanced programming overview of examples how to use a Message Queue with popular languages to interface with Interactive Broker Trading Workstation (TWS).
3. Brief overview of using futures and options techniques with coding examples
4. Access to the complete analytical charts and data provided through the Quant Analytics service for 3 months.
NEAR TERM Future additions in coming weeks:
1. Live Q&A workshop bootcamp for the Python 3 Infrastructure Course for a Primitive Algo/Automtated Trading System
2. Packaged up course of using Dukascopy JForex API for automated forex and CFD trading.
3. Daily charting within the Quant Analytics service. See the last recent Meetup webinar video example listed below.
I am temporarily adding 1 free month for your 3 months. That is a $233 in value as an extra bonus! This extended offer will be removed very quickly as our Facebook marketing efforts show effectiveness. Also, take advantage of this LIVE Q&A workshop that will be those learning from the recent Python 3 Infrastructure Course for a Primitive Algo/Automtated Trading System course.
The link is now live to start your 3 month subscription by going here
Video examples
Walking tour features of Quant Elite Membership (including 3 month)
We are now live with this new 3 month ELITE subscription. I have created an 11 minute tour to walk through the entire service.This does include my recent python 3 infrastructure course.
The video is below but it highlights a number of features which include:
1. The latest course of Python 3 Infrastructure Course for a Primitive Algo/Automated Trading System
2. Advanced programming overview of examples how to use a Message Queue with popular languages to interface with Interactive Broker Trading Workstation (TWS).
3. Brief overview of using futures and options techniques with coding examples
4. Access to the complete analytical charts and data provided through the Quant Analytics service for 3 months.
NEAR TERM Future additions in coming weeks:
1. Live Q&A workshop bootcamp for the Python 3 Infrastructure Course for a Primitive Algo/Automtated Trading System
2. Packaged up course of using Dukascopy JForex API for automated forex and CFD trading.
3. Daily charting within the Quant Analytics service. See the last recent Meetup webinar video example listed below.
I am temporarily adding 1 free month for your 3 months.That is a $233 in value as an extra bonus!This extended offer will be removed very quickly as our Facebook marketing efforts show effectiveness. Also, take advantage of this LIVE Q&A workshop that will be those learning from the recent Python 3 Infrastructure Course for a Primitive Algo/Automtated Trading System course.
The link is now live to start your 3 month subscription by going here
Market Analysis for April 9. This is for all major asset classes including forex, indices, and commodity (with Bitcoin). We can talk about best possible planning for the week. Join me live if you are interested.
Market Analysis for April 9. I will do a full analysis on all markets using both Technical and Fundamental. This is for all major asset classes including forex, indices, and commodity (with Bitcoin). We can talk about best possible planning for the week. Join me live if you are interested. https://eb360-f7c04e.pages.infusionsoft.net
In this video below, I offer my opinion on new features that may be useful for algorithm for systematic traders with the new MATLAB 2016 B. As you know, I have worked with all the major prototyping research languages out there including Python and R. Again in this video I offered my comparison of where I would use each one having its own unique advantages.
Check out this video here
Just so everybody knows, I am going through a major product and service reset over the next few weeks. I will be able to determine what products and services will continue well into next year. Some will most likely be dropped in coming months including all my Microsoft Windows and .Net related programming items which is part of my Quant Elite Membership.
So if you’re interested in any of that, I would strongly recommend you to check it all out by joining or asking questions. All these programming demos are definitely on a timeline as of today.
If you are interested in this, get more details of this membership here.
From this article, I learn the major still use Python 2.x while the cool updates happen in 3.x. How can this still be combined into one language for compatibility as the language splinters? Now you know why I make Python lower on my dev language stack.
Does NOSQL Redis have these clustering MongoDB features?
I am hoping someone in the Redis community that can confirm if MongoDB has these same features
MongoDB is built for the cloud
If your Web app plans include making good on the pennies-per-CPU promise of the cloud, the MEAN stack offers a compelling database layer in MongoDB. This modern database comes equipped with automatic sharding and full cluster support, right out of the box. Plug in MongoDB and it spreads across your cluster of servers to offer failover support and automatic replication. Given the ease with which apps can be developed, tested, and hosted in the cloud, there’s little reason not to consider MongoDB for your next project.
Oracle 12c successfully install for my requirements for high speeding trading with message queuing in memory and more features
Sepcial NOTE: on installation: The Server install seems to be work ok but the Workstation some wierd permissioning problems for the database when installed.
Successfully and easily installed on my Windows 2012 Server. It is a strange world we live in now that it sort of works. After digging through, Oracle 12c could meet all my requirements.
Why Oracle?
When you read about Liquidnet being used, it got me wanting to try it out.
One terabyte may not sound like a lot, but because TimesTen also provides columnar compression, it’s equivalent to about five terabytes of addressable storage. Because it’s in main memory, the entire data store can be scanned within five seconds, according to Oracle. Additional Exalytics boxes can be added to increase total system capacity.
BTW, I once wrote a time series database which outperformed both TimesTen and Kdb. It supported a SQL-92 syntax. The key to the performance was binding the schema to C++ template based classes, and using memory mapped files. Allowing for on-the-run schema changes is quite expensive, and defining the schema at compile time, data lookups could be retrieved in just a few assembly instructions.http://stackoverflow.com/questions/1593987/alternative-to-the-timesten-in-memory-database
NOTE that this is all experimental but so far, I can report it seems pretty decent. As compared to SQL Server 2014 default, it seems not much of a memory hog as compared to SQL Server.
