Tag Archives: fave

My fave but important Machine Language resources

Last week, I made a video explaining my fave machine learning resources. I have found one Youtube channel that is really helping me figure out the quickest path to learn what is taking over algorithmic trading.

 

Click this button below to watch this 20 minute video with the associated links and references

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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!

Here are my fave but important Machine Language resources

 

Here are my fave but important Machine Language resources:

Tensor Flow  is my choice as hinted belo in the videos. It can handle high level of use for production use since it is backed by C++ at the core level.  Keras can be used fpr low level while Torch can be used for research only.

Note the Android posting as well for most convenient way to get all this onto a mobile device.

Guide to Running Tensorflow Machine Learning Models on Android

How to Deploy a Tensorflow Machine Learning Model to Live Production

Best stock chart libraries for Google 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!

Meetup: Fave books on Quant Finance/Trading

Meetup: Fave books on Quant Finance/Trading

(Video playback and booklist below)

Wednesday, September 7, 2016

8:00 PM

Sholom will be present this topic
I will be reviewing my favorite books on Quant Finance/Trading

Contents:

1) Quant Finance vs Quant Trading
2) How to evaluate a book
3) Review of Quant Finance Books
4) Review of Quant Trading Books
5) Books on other subjects that help with trading: Money Management, Statistics, Robotics, Machine learning, Data Science.

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Favorite books on Quant Finance/Trading

Wednesday, Sep 7, 2016, 8:00 PM

GotoMeeting Webinar online
GotoMeeting Webinar online Toronto, ON

12 Researching Traders Went

Favorite books on Quant Finance/TradingSholom will be present this topic I will be reviewing my favorite books on Quant Finance/TradingContents:1) Quant Finance vs Quant Trading 2) How to evaluate a book 3) Review of Quant Finance Books 4) Review of Quant Trading Books 5) Books on other subjects that help with trading: Money Management, Statist…

Check out this Meetup →

Favorite books on Quant Finance/Trading

Wednesday, Sep 7, 2016, 8:00 PM

Location details are available to members only.

17 Members Went

Favorite books on Quant Finance/TradingSholom will be present this topic I will be reviewing my favorite books on Quant Finance/TradingContents:1) Quant Finance vs Quant Trading 2) How to evaluate a book 3) Review of Quant Finance Books 4) Review of Quant Trading Books 5) Books on other subjects that help with trading: Money Management, Statist…

Check out this Meetup →

The AK Quant Book List:
1) Frequently Asked Questions in Quantitative Finance by Paul Wilmott
2) The Complete Guide to Option Pricing Formulas by Espen Gaarder Haug
3) A Guide to Quantitative Finance by Marcello Minenna
4) Algorithmic and High-Frequency Trading by Álvaro Cartea,Sebastian Jaimungal,José Penalva
5) Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization
6) Financial Markets Tick By Tick by Pierre Lequeux
7) Option Valuation under Stochastic Volatility II by Alan L Lewis
6) Bayesian Reasoning and Machine Learning by David Barber
7) Control Systems Engineering 4th edition by Norman S. Nise
😎 The Mathematics of Money Management: Risk Analysis Techniques for Traders by Ralph Vince
9) Professional Automated Trading: Theory and Practice by Eugene A. Durenard
10) Developing Analytic Talent: Becoming a Data Scientist by Vincent Granville

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!

NYC Contact sent us his fave StratFor events of 2014

NYC Contact sent us his fave StratFor events of 2014

Ah the conservative think tank events of last year

http://www.stratfor.com/weekly/top-five-events-2014#axzz3NJ1tsbwB

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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!

As suggested by the London Quant, this is supposed to be his fave book for learning math to be applied to quant finance

As suggested by the London Quant, this is supposed to be his fave book for learning math to be applied to quant finance

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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!

Which are my fave GARCH R packages for financial forecasting and future a trading models for lucractive strategy

Which RDMS or NOSQL database do you use for R? MySQL, Cassandra,  HBase, MongoDB, Oracle, PostgreSQL, CouchDB, SQLite?

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This R survey is kind of important. It will show a few things:

  1. Which R most users use regardless if they are commercial vs open source vs NOSQL .
  2. This will help us figure out which database is best for R using the scalability and speed depending on the requirements. This includes multiple writes for market tick data from C++ or a Java application and access by various R algorithms for analytics purposes.

Go here for the poll.

Here are some reasonable options with reasons:

MYSQL

I would assume this to be the number one choice since it is open source (or at least they say). It also contains sharding and other scalability needs with clustering. Is this something that people are using for their trading platform requirements? This includes using MYSQL as a tick data repository.

PostgreSQL

Is anyone actually using this open source database for their R needs?

Oracle

This is easily the most popular commercial RDMS for both Linux/Unix and Windows. As Oracle has open R into with a connector into their ecosystem, I wondered if people are actually using this.

SQL Server/DB2/Sybase

I am unsure if there are any R package connectors to any of these databases. I was just curious as I am really not interested in these as a real option.

Cassandra

There seems to be no R package support for this. I once posted something on R-Bloggers.com and it lit up the site, it made me wonder if this is actually more popular than people think. It seems to meet the needs of both quick write and read access.

Redis

Now the doRedis R package looked really hot. It even showcased how to use with a potential financial analytics system. I even saw Java sharding examples which left me excited on the capabilities of this database.

MongoDB

This seems to be strangely the most popular of all. I also found various R packages which seems to support it as well.

HBase which is part of Hadoop

Eh. No support even according to Revolutionary Analytics which their lacking install R package guides. I gave up pretty quickly on these R packages.

All others database options seem fine but the ones listed above seem the most viable for any R user as repository for scaling and clustering.

Go here for the poll.

http://quantlabs.net/surveys/2012/06/19/what-rdms-or-nosql-database-should-a-r-user-focus-on/

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!

Ever get that intuitive stock market pick? My fave industry trading strategy thanks to Morningstar Apple IOS and Android apps

Ever get that intuitive stock market pick? My fave industry trading strategy thanks to Morningstar Apple IOS and Android apps

You ever sit there a typical high stake poker game and get that feeling this could be a big winner? I do sometimes when I read stuff. I base it on my gut instinct but sometimes proves to be true. The primary source comes my daily digest of the Morningstar app on my Apple iPad. This is something I recommend to people who follow trading. I  like this a source for many things including general market insight and some insider trading tragedy I have never seen elsewhere. I am intending to post these Ina new section in the QuantLabs.net Premium members. I already posted some stuff already on volatile and high frequency data tips. Pure awesomeness if you ask me. Also, note that these postings are not written by me at all so again, the source of these are only from the Morningstar app.

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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!