Tag Archives: Easiest

Is Coinbase easiest for crypto currency funding with new exchange Coinbase Pro API

Is Coinbase easiest for crypto currency funding with new exchange Coinbase Pro API

Screw Coinbase. I think the requirement to fund Coinbase with photo ID is something I am not comfortable.

https://support.coinbase.com/customer/en/portal/articles/2106149-payment-methods-for-canadian-customers-

As a result, I am going the anonymous route using LocalCoin. It seems a little safer without the need to sending out unnecessary documents to an exchange like Coinbase.

How To Buy Bitcoin

It is little more expensive to go anonymously but for now, I  feel more comfortable with this route.

I have an iPhone which means the future of crypto currency exchanges will be measured on their native mobile app support on something like Apple IOS. It seems at the time of this writing, there are only 2 exchanges worthy of noting who are on this. This includes both Coinbase and Huobi in Asia. Since Coinbase is trustworthy since they are regulated out of USA, they might be the ones to watch for newbies wanting to fund an account safely. It will get interesting to see the future how the new exchange Coinbase Pro will do as it appears to be renamed from the old GDAX. As a result, I may focus on Coinbase for small funding of an account. I also want to test their functionality for both orders and data. As you know, I have focused both on Binance and Bitmex but it makes sense to use a more trustworthy exchange like Coinbase. This is especially true when you are starting out with live money. Always remember to fund an exchange with a tiny amount you can risk to lose. For me, it will be tiny amounts like $20 Canadian. As it stands, I just want to focus only connectivity testing and basic low risk automated strategy that I have built over the last few months. This Coinbase Pro might not be the smartest choice for now, but it should be the simplest to test with live money,

As for the support with the CCXT Python package, I have found some sources that seem to make life easier when switching over to Coinbase Pro. It is confirmed to work with old GDAX as hinted in these links:

New Exchange: Coinbase #466

https://github.com/ccxt/ccxt/issues/466

New Exchange: Coinbase Pro #3210

https://github.com/ccxt/ccxt/issues/3210

https://github.com/ccxt/ccxt/pull/3214

GDAX Migration to Coinbase Pro 

https://github.com/ccxt/ccxt/issues/3216

The volume for Coinbase Pro is tiny as compared to larger exchanges like Binance. It seems this will raise a concern for volume, slippage. Liquidity and so on. This is why you need to fund with a tiny amount you are willing to lose on.

https://coinmarketcap.com/exchanges/volume/24-hour/

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Is this tool one of the easiest to get int machine learning big data and predictive analytics for quant trading and HFT

Is this tool one of the easiest to get int machine learning big data and predictive analytics for quant trading and HFT

A comment from the link below, interesting topics covered:

Yea, I’m gonna prob switch to Redis. Thanks again.

Syncfusion – Checking it out now.. looks cool. How would you rate your ML implementation knowledge? on a 1-10? 1 = just starting no systems in production and 10 = Ml/Neural master w/ systems in production and profitable?

I only ask, because ML algos are pretty much the same regardless of platform. Yes, there may be more options/wizards and what not w/ some high end systems. But if you’re looking to do feed-foward regression neural nets (SVM’s are worth looking into – but never had any success with NEAT and RBF ml methods) and you rank yourself < 5 (I’m a 4) then use Encog. Why pay 2 grand for a pretty UI? But again, I’m a 4 so my knowledge is quite limited.

Personally – I’ve have yet to write a time series numerical ML forecasting system that’s worth anything. UNTIL, I stopped thinking about price prediction (more later). The stat Arima models (that I use) are way more accurate for numerical forecasting than any ML i’ve built (I’m also getting some interesting forecasting using ARIMA and GARCH together ARIMA(p,q,x)-GARCH(r,s) which is simply mean – variance(as you know) …

Go here to learn more here where this is more comments

https://quantlabs.net/blog/2014/12/would-you-build-your-automated-trading-system-just-like-this-including-a-machine-learning-idea/

Join my FREE newsletter to learn more about machine learning as hinted above

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Do you think this the easiest way to calculate Implied Volatility with Excel with FREE Yahoo Finance data?

A couple of things list to summarize where I am at. I posted this recently:

Is this the easiest way to calculate Implied Volatility with Excel?See more 

Simple yes, but hard to implement as there are few examples of this actually programmed. It is due to less faith in IV for forecasting I believe. I think it is fine for long term horizon vs intraday trading. I posed this for my members:

Forward looking implied volatility with Excel add in and Matlab script for Yahoo Finance option chain data See more

 

It includes a full 30 minute walkthrough video with my most up to date Excel spreadsheet with an implied volatility calculation.

This is basic stuff but man, this new system will really change my view on profitable LONG TERM trading but I am working on this system with this new attitude. I am not saying it will guarantee profit, but it will have highly advanced ways to setting parameters to keep you profitable or at least reduce your risk of the downside with open positions.  I don’t think you will get this kind of system anywhere else.

Anyhow, I will detail this further in tomorrow’s email especially my view on this IV thing.

As result, if you are interested in seeing my postings on this in the backend as I my members do, consider joining by going here. I cannot implore the many benefits listed which of course you get source code!

Lastly, this video you may not have seen which reflects my view of this new attitude I got towards trading. Watch this video here:
So what i use for technical analysis with Excel and free Yahoo Finance dataSee more

I hope this really gets you excited as I am to develop it.

Bryan

 

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Are These the easiest instructions to get a full integrated Python development for data science and quant trading research?

Are These the easiest instructions to get a full integrated Python development for data science and quant trading research?
Geez. After my recent horror of R, I decided to (YET AGAIN) give Python a chanceso here we go so far so good. Follow these instructions which help with minimal efforts:

I got the best development Python environment with Anaconda with Ipython. I followed these instructions for Window 8.1

https://www.python.org/downloads/

Download Anaconda which includes all dependencies you need at:

http://continuum.io/downloads

This includes a launcher for Spyder 2 which is the best IDE for data science which seems to include numpy and pandas which are popular Python modules for data science. I was able to confirm all modules included by running with my Spyder Ipython console at:

http://stackoverflow.com/questions/739993/how-can-i-get-a-list-of-locally-installed-python-modules

Run:

import pip
installed_packages = pip.get_installed_distributions()
installed_packages_list = sorted(["%s==%s" % (i.key, i.version)
     for i in installed_packages])
print(installed_packages_list)

From there wanted to intall modules for Quandl and my MYSQL so

Join my FREE to see how I do with this Python

 

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Youtube video on Why Deltix Timebase makes this the fastest easiest trading platform in the world for potential HFT

Youtube video on Why Deltix Timebase makes this the fastest easiest trading platform in the world for potential HFT

Learn more about the power for Deltix through my FREE newsletter

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trading desk

Multicharts review of easiest and quickest way to get up and trading! Most trusted as well!!

Multicharts review of easiest and quickest way to get up and trading! Most trusted as well!!

$397 very functional rich. Supports C# and Microsoft .NET. Powerful charting capabilities but all technical analysis. Market scanning capabilities is powerful. Can build a trading strategy from this. Has genetic optimization and walk forward testing capabilities. Full Interactive Brokers support. Amazing GUI support! This is an amazing piece for all aspects of trading to get started. You of course can advance into Matlab and C++ as your strategies prove themselves. ALso, this is the best software I have seen to get you up and running so quickly. This is also multi threaded.

Find out if I use this software as part of my trading solution

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Easiest way to build Boost C++ library on Ubuntu Linux

Easiest way to build Boost C++ library on Ubuntu Linux

None of the following work. To install everything easily, just do:

apt-get install libboost-all-dev

I have some time just from that command above!

http://www.blog.highub.com/linux/install-c-boost-on-ubuntu/

How to build Boost?

this works:

mkdir -pv /tmp/boostinst
cd /tmp/boostinst/
wget -c ‘http://sourceforge.net/projects/boost/files/boost/1.46.1/boost_1_46_1.tar.bz2/download
tar xf download
cd boost_1_46_1/
./bootstrap.sh –help
./bootstrap.sh –show-libraries
./bootstrap.sh

From http://stackoverflow.com/questions/5759434/boost-installation

See what I will do with Boost in my new HFT trading platform

 

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R programming is the easiest and never hangs the System?

R programming is the easiest and never hangs the System?

i’m afraid that this question not that easy to put:
(1) “the easiest” in which terms? that you, e.g., see you errors immediately and don’t have to wait for a compiler to print them (as in C, C++, …) or that you can, at any time, see what’s going on (workspace, tracing, browsing), or …?
(2) “never hangs the system” also depends. if you’re using R “base functionality” and packages based on them, i would agree, but if you have some badly implemented compiled code (or interfacing without proper checks), R easily crashes.

 

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Easiest and best XML parser in C++ or C tutorial with source code

Easiest and best XML parser in C++ or C tutorial with source code

Under Windows, when I have to debug a software that is using the XMLParser Library, it’s usually a nightmare because the library is sooOOOoooo slow in debug mode. To solve this problem, during all the debugging session, I use a very fast DLL version of the XMLParser Library (the DLL is compiled in release mode). Using the DLL version of the XMLParser Library allows me to have lightening XML parsing speed, even in debug mode! Other than that, the DLL version is useless: In the release version of my tool, I always use the normal, “.cpp”-based, XMLParser Library.
• V2.21: Mars 1, 2007: 1 minor change, 1 bug fix
• V2.22: Mars 6, 2007: 1 bug fix
• V2.23: Mars 13, 2007: 1 bug fix
• V2.24: April 24, 2007: 1 bug fix, 1 addition
• V2.25: May 18, 2007: 1 bug fix
• V2.26: May 22, 2007: 1 bug fix
• V2.27: May 28, 2007: 2 additions, 1 minor change, 2 bug fixes
• V2.28: June 27, 2007: 2 additions, 2 minor changes
• v2.29: July 3,2007: 1 bug fix
• v2.30: July 31,2007: 2 bug fixes, 1 addition
• v2.31: August 29,2007: 1 fix
• v2.32: October 4,2007: 1 addition
• v2.33: October 11, 2007: 1 addition
• v2.34: January 25, 2008, 2 additions
• v2.35: February 2, 2008: 1 minor change
• v2.36: March 9, 2008: 2 bug fixes, 2 additions, 4 minor changes
• v2.37: March 24, 2008: 1 bux fix
• v2.38: June 2, 2008: 3 additions
• v2.39: August 9, 2008: 4 additions, 2 bug fixes
• v2.40: December 19, 2008: 1 minor change
• v2.41: June 25, 2009: 1 minor change
o modified the functions ToXMLStringTool::toXML() and XMLParserBase64Tool::decode() to accept null string as input
A small tutorial
Let’s assume that you want to parse the XML file “PMMLModel.xml” that contains:

Hello World!
















Let’s analyse line by line the following small example program:
#include // to get “printf” function
#include // to get “free” function
#include “xmlParser.h”

int main(int argc, char **argv)
{
// this open and parse the XML file:
XMLNode xMainNode=XMLNode::openFileHelper(“PMMLModel.xml”,”PMML”);

// this prints ““:
XMLNode xNode=xMainNode.getChildNode(“Header”);
printf(“Application Name is: ‘%s’\n”, xNode.getChildNode(“Application”).getAttribute(“name”));

// this prints “Hello world!”:
printf(“Text inside Header tag is :’%s’\n”, xNode.getText());

// this gets the number of “NumericPredictor” tags:
xNode=xMainNode.getChildNode(“RegressionModel”).getChildNode(“RegressionTable”);
int n=xNode.nChildNode(“NumericPredictor”);

// this prints the “coefficient” value for all the “NumericPredictor” tags:
for (int i=0; i” (note that the “<” character entity has been replaced by “<"): printf("Application Name is: '%S'\n", xNode.getChildNode("Application").getAttribute("name")); The following command prints on the screen "Hello World!": printf("Text inside Header tag is :'%s'\n", xNode.getText()); Let's assume you want to "go to" the tag named "RegressionTable": xNode=xMainNode.getChildNode("RegressionModel").getChildNode("RegressionTable"); Note that the previous value of the object named xNode has been "garbage collected" so that no memory leak occurs. If you want to know how many tags named "NumericPredictor" are contained inside the tag named "RegressionTable": int n=xNode.nChildNode("NumericPredictor"); The variable n now contains the value 3. If you want to print the value of the coefficient attribute for all the NumericPredictor tags: for (int i=0; i


You can use:
char *t=xMainNode.getChildNode(“Extension”).createXMLString(true);
printf(“%s\n”,t);
free(t);
Note that you must free the memory yourself (using the “free(t);” function) : only the XMLNode objects
and their contents are “garbage collected”. The parameter true to the function createXMLString means that we want formatted output.

The XML Parser library contains many more other small usefull methods that are not described here (The zip file contains some additional examples to explain other functionalities). These methods allows you to:
• navigate easily inside the structure of the XML document
• create, update & save your own XML structure of XMLNode’s.
That’s all folks! With this basic knowledge, you should be able to retreive easily any data from any XML file!

http://www.applied-mathematics.net/tools/xmlParser.html

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