# Probability & Statistics for Data Science Series with crypto currency pairs

If you know me, I have spent quite a bit of time with Khan Academy. I found it the best resource to learn about any form of math. As the behind the scenes of math is important for any data science, machine learning, and artificial intelligence. I am dumbfounded some think it is ok it be a data analyst with out understand the math behind the routines they use. I call that the blind leading the blind. One can apply this logic to  crypto currency pairs as I do in my current analysis.

This article will introduce you to a high level math requirements you will need:

https://blog.goodaudience.com/probability-statistics-for-data-science-series-83b94353ca48

Also, I still find this guy one of the of the best online resources to learn general Machine Learning when it comes to Python programming.

I just doubled the price of the Python 3 Infrastructure Algo Trading course, This includes fast moving crypto currency. If you did take advantage of this, you will note that I managed to discover high 12% intraday  moves across 3 crypto currency pairs. This was in a severe down day with only 2 profitable crypto currency pairs out of 100+. There were others with 800+% but there for tiny coins coming off an ICO.  Always remember initial coin offering can be highly manipulated but I may focus on those down in the next few weeks. It reminds of how Timothy Sykes does his penny stock teaching

If you are concerned about pricing, I just posted the the more affordable but older Python 2 Infrastructure course without the Crypto currency.

New course!! Building Python algo trading system with Bitcoin an crypto currency focus

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# How to analyze stat distribution for market asset like stock

How to analyze stat distribution for market asset like stock

Here are the detailed analysis links but note you need to be a Quant Analytics by joining below

Stats Data Analysis AMZN 29/11/2017

Stats Data Analysis HPE 29/11/2017

Order Analytics

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# Python interface for the creation of graphs and the calculation of statistics for financial time series

Python interface for the creation of graphs and the calculation of statistics for financial time series

Someone from my Telegram made me aware of this project, From the guy behind http://mechanicalforex.com

Project description

The qq-pat library provides you with an easy interface for the creation of graphs and the calculation of statistics for financial time series. The library uses time series stored within pandas dataframes to make its calculations. You can have either one or several columns within your dataframe and qq-pat will always calculate statistics for all of them and return the results as either a list (if you are calculating something like the Sharpe ratio) or an actual pandas dataframe with the same number of columns.

To use qq-pat is very easy. First make sure you create a pandas series or dataframe that contains either the daily returns or the daily price/balance for the assets or strategies you want to evaluate. After this simply initialize the qq-pat analyzer:

https://github.com/QuriQuant/qq-pat

https://github.com/danielfppps

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# Is statistics the missing link between technical analysis and algo trading?

2 videos from the same guy

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# I am now online to discuss this Portfolio Performance statistics

I am now online to discuss this Portfolio Performance statistics at https://global.gotomeeting.com/join/277666909

Or share these steps:
1. Go to JoinGoToMeeting.com
2. Enter meeting ID: 277-666-909
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# To do: Statistics on portfolio performance

So there is one last big item to do on this. The last step that everyone seems to forget about is portfolio performance statistics. This obviously is probably the most critical component to showcase if you are on your way for lifestyle of hoes and cocaine. This will be a pretty quick Python script to develop but I may report more details via video of course.

You can get further thoughts here

As you know, my last live broadcast via Facebook went decently. I can report that the outcome was very positive as I hoped for. Many high net worth investors came to me looking for ideas. This is the exact market my new analytic service will target. Gone will be the days of me educating technical people who want to learn how to build algo trading systems. As a result, I will be hosting this Monday on Facebook a live question and answer round table for those that might ask why I am closing my Quant Elite membership.

Go here for details

The hard closing date has not been scheduled but it will be within three months. There will be no extensions whatsoever given under any circumstances to anybody. All source code and video play demos will be permanently removed forever. If you want to talk about it, go to this live Facebook event by going here.

It happens this Monday at 6PM EDT live via my Facebook group

If you are interested in any of these topics discussed, now is the time to join my Quant Elite membership.

You can do that here

Also there will be limited time which you’ll be able to get access for free to my upcoming live Interactive Brokers API workshop. Details are below

Bryan

P.S. Once in a while I like to drop hints. So here is one:

This Interactive Brokers workshop will become a very expensive standalone product which will be recorded with two live sessions.

As you know, I have been running a survey asking for times and pricing you’re willing to pay. Thankfully I’ve come to the conclusion that there are three possible times. I will be posting another detailed Survey to see who would like to attend either of these times.

PPS. Another Hint:

All Quant Elite paying members will be able to attend this LIVE Interactive Brokers workshop

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# To do: Statistics on portfolio performance

Statistics on portfolio performance to do

Happy days are here finally! I can report I only have 1 last Python script that will measure Portfolio Performance statistics. I may even do a video on it but may not even. Who knows? This is one of the most important overall scripts that a pro would use.

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# Conditional Frequency Statistics for trading

This is something new from Sholom Benzev

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# Required Books on Stats & Math for Data Science

Required Books on Stats & Math for Data Science

These need to do on my many to do list

Free Must Read Books on Statistics & Mathematics for Data Science

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# Statistics.com the place to learn…uh.statistics

Statistics.com the place to learn…uh.statistics

Just stating the obvious here

(What would you do without me?)

http://www.statistics.com/