Tag Archives: code

Example URL links of long term mean reverting strategy code with Ernie Chan

Notes

Notes on Ernie Chan lomg term vs short term coding

cointegration diverges between pairs over long term while co-relation comove in same direction
cointegration is long term and about price
correlation is short term and about returns
basic mean reversion strategy bollinger bands -> enter into position only when price deviates by more than a std deviation and exit when price reverts
consider commission fees to stay profitable

fibonacci levels webinar as gambler cracked the horse racing code

NOTE the webinar for tomorrow has been cancelled (Monday May 13)

Someone sent me this article a few days ago found on Bloomberg. It made references to the popular Ed Thorp Beat the Dealer of the 1960. See details of the Fibonacci levels webinar below.

https://www.bloomberg.com/news/features/2018-05-03/the-gambler-who-cracked-the-horse-racing-code

So this person asked:

Do such things exist for the stock market ? I am new into this algorithm, machine learning & Artificial Intelligence theories.

What do you think? Can this type of gambling be applied to the world stock market or any other asset class?

Fibonacci levels webinar

As promised here is the details on the Fibonacci levels webinar

Let’s do some assessment using this tool for the hot crypto currency asset market.

Hi there,

You are invited to a Zoom webinar.

When: May 13, 2019 12:00 PM Eastern Time (US and Canada)

Topic: Fibonacci levels

Please click the link below to join the webinar:

https://zoom.us/j/370153846

Or iPhone one-tap :

US: +16465588656,,370153846# or +16699006833,,370153846#

Or Telephone:

Dial(for higher quality, dial a number based on your current location):

US: +1 646 558 8656 or +1 669 900 6833

Webinar ID: 370 153 846

International numbers available: https://zoom.us/u/ac8lNIa1ua

Thanks Bryan

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!

GUI with local Python Django on Visual Studio Code or Pycharm vs C++ Qt or WxWidgets

This was a mess to get a real time chart using Chart Director. To get a graphical user interface, I must this was turning into a real hassle with C++. Qt version 5 is still too restrictive on the run time licensing end. Also, I find their IDE Qt Creator is just a beast where I really don’t want to use it. I even tried local Python with some moderate success.

I then tried using the open source edition of the CodeLite IDE with wxWidgets, I have had moderate success with this combo. It seem to get running on a Mac is not worth pursuing as it is way too old.

I then thought of trying the latest PyCharm Pro edition with ChartDirector and Django. Oh man, this is thing is a beast , They assume my package manager with my Python interpreter version 3 was using pip. I am actually using pip3 but to change that was not possible. You would think this was easy by justing adding the local Python interpreter. Pycharm did not recognize my local Python 3.6 but only found 3.1. When i navigated to the Python 3.6 to choose within the creator of the project, it would finally rconginze all the local Python packages. It took forever to load. Complete crap and not easy to play. Plus they want me to pay for this thing as it for the Pro edition. Forget it!

I then had some moderate success with Visual Studio Code. It is these URL that make it much more possible:

https://code.visualstudio.com/docs/python/tutorial-django

OMG! Half the tutorial actually worked. I can also say I have much better understanding and appreciation for this IDE. I see why people like it since I got it to work.

Then we can talk about Django. No no no. Working with this framework made we want to stop. This thing is really old. There must be an easier way to build a real time charting with Chart Director. There has to be.

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!

Python in Visual Studio Code with new debugger

To be honest, I ain’t no fan of Microsoft product even if it was free like Windows 10 or Skype. I must this product Visual Studio Code is not bad since it runs on all major operating system. This now includes an updated debugging engine ptsvd 4. This article says:

In this release we are updating all users to the ptvsd 4.1.1 version of our Python debugger, providing a significant improvement to debugging performance and stability over the previous ptvsd 3.0 version. We originally announced an opt-in preview of ptvsd 4 in the February release of the Python extension, and have been continuing to improve on it based on user feedback. The new debug engine is built on top of the open source pydevd, which has allowed us to take advantage of its superior performance and support for third party libraries.

https://blogs.msdn.microsoft.com/pythonengineering/2018/09/05/python-in-visual-studio-code-august-2018-release/

6 percent up in down crypto currency day

Decent wild day but made 6% intraday which is pretty good considering the performance of other major asset classes today. I also include the earlier set of charts which include many technical indicators to verify the forecasting can be valid!

I will be ramping up the Analytics in coming days

Quant Analytics

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!

Microsoft Visual Studio Code enhanced for better Python programming

COUNTING DOWN TO THE LAST FEW DAYS!

I am winding down the LIMITED number of slots I will allow to get the current rate of my Python Algo Infrastructure Trading.

It is currently listed at $247 but may double going into EARLY next week.
Some have asked me about the content I will be adding to this:

Crypto currency additions learned lately including funding wallets and exchanges

Confirming your automated market or limit order

Confirming your Oanda connection for both Forex and CFD
trading (will work USA residents!)

JOIN Now

<<First Name>>,

This is how serious Microsoft is taking Python now to mebed it into Visual Studio.

https://www.theregister.co.uk/AMP/2018/07/20/microsoft_visual_studio_code_python/

I hardly see any languages from supporting Microsoft or any of their technology like .NET or SQL Server anymore on social media! I do think they are slowly becoming irrelevant compared to open source and their cloud competitors like Amazon AWS. Also, I have not even dare to mention any of their weird lockdown, backdoor potential with Windows 10, or any other bad corporate practices.

In order to enhance your future, you might want to look at Python as well especially if you are interested in topics like machine learning or algo/systematic trading.

Have I got a solution for you. We are entering into the last few days of this offer I explain above. My inteventory is getting low for this deal before I double the price!

We are coming down to the Wire over the LAST days

Promo Code

No expiration date

Shop Now

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!

Is this Python code of linear regression really machine learning

Is this Python code of linear regression really machine learning? Seriously, why do less knowledgable people just rely on the result of some popular machine learning framework like TensorFlow. Don’t you think it is wise to understand the underlying math? I have used this stuff with MATLAB well before the terms big data and machine learning became popular. I am no expert here but I would like to have some experts add their opinion on it.

Looking for input

Comment away in my video where I am wrong. I like to learn what you think. All I ask is be respectful about it

Robert Pardo book for forward walking

https://onlinelibrary.wiley.com/doi/book/10.1002/9781119196969

https://en.wikipedia.org/wiki/Linear_function

TensorFlow and Nutonian machine learning for algo trading tips

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!

dot net framework array to r program code through the R CSharp package

Note: I really no longer support dot net framework array to r anymore. This means that I don’t support .NET nor Microsoft nor Windows anymore due to back door security concerns I have with their product. I would strongly Python and other open source technologies over Microsoft product Also, this R posting is here as a courtesy due to R is still popular. Also remember this link recommended from my Academy section is from 2012 so it might no longer work.

Very Nice! My C# program calls R Code through the R.NET package.

How to get R connect to NOSQL scalable database Redis with doRedis R package for parallelization

Whoa! I finally got this working with R.NET. I can get my C# appliction call directly R code which is very nice. There is a nasty bug on the search path of R so note at the beginning of the code as well. Get more info about R.Net package from http://rdotnet.codeplex.com/. Here is the C# code but don’t foret to add the.NET.DLL DLL reference in your Visual Studio:

Enjoy this C Sharp code

using System;
using System.Linq;
using RDotNet;

class Program
{
    static void Main(string[] args)
    {
        //code solution from http://stackoverflow.com/questions/7960738/importing-mgcv-fails-because-rlapack-dll-cannot-be-found
        string rhome = System.Environment.GetEnvironmentVariable(“R_HOME”);
        if (string.IsNullOrEmpty(rhome))
            rhome = @”C:Program FilesRR-2.15.0″;

System.Environment.SetEnvironmentVariable(“R_HOME”, rhome);
System.Environment.SetEnvironmentVariable(“PATH”, System.Environment.GetEnvironmentVariable(“PATH”) + “;” + rhome + @”bini386″);

        // Set the folder in which R.dll locates.
        //REngine.SetDllDirectory(@”C:Program FilesRR-2.12.0bini386″);
        REngine.SetDllDirectory(@”C:Program FilesRR-2.15.0bini386″);
        using (REngine engine = REngine.CreateInstance(“RDotNet”, new[] { “-q” })) // quiet mode
        {
            foreach (string path in engine.EagerEvaluate(“.libPaths()”).AsCharacter())
            {
               Console.WriteLine(path);
            }
            //engine.EagerEvaluate(“.libPaths(“C:/Program Files/R/R-2.15.0/library”);

            // .NET Framework array to R vector.
            NumericVector group1 = engine.CreateNumericVector(new double[] { 30.02, 29.99, 30.11, 29.97, 30.01, 29.99 });
            engine.SetSymbol(“group1”, group1);
            // Direct parsing from R script.
            NumericVector group2 = engine.EagerEvaluate(“group2 <- c(29.89, 29.93, 29.72, 29.98, 30.02, 29.98)”).AsNumeric();

            // Test difference of mean and get the P-value.
            GenericVector testResult = engine.EagerEvaluate(“t.test(group1, group2)”).AsList();
            double p = testResult[“p.value”].AsNumeric().First();

            Console.WriteLine(“Group1: [{0}]”, string.Join(“, “, group1));
            Console.WriteLine(“Group2: [{0}]”, string.Join(“, “, group2));
            Console.WriteLine(“P-value = {0:0.000}”, p);
        }
    }
}

Here is an C# example:

using System;
using System.Linq;
using RDotNet;

        // Set the folder in which R.dll locates.
        //REngine.SetDllDirectory(@”C:Program FilesRR-2.12.0bini386″);
        REngine.SetDllDirectory(@”C:Program FilesRR-2.15.0bini386″);
        using (REngine engine = REngine.CreateInstance(“RDotNet”, new[] { “-q” })) // quiet mode
        {
            foreach (string path in engine.EagerEvaluate(“.libPaths()”).AsCharacter())
            {
               Console.WriteLine(path);
            }
            engine.EagerEvaluate(“.libPaths(“C:/Program Files/R/R-2.15.0/library”);

            // .NET Framework array to R vector.
            //NumericVector group1 = engine.CreateNumericVector(new double[] { 30.02, 29.99, 30.11, 29.97, 30.01, 29.99 });
            //engine.SetSymbol(“group1”, group1);
            //// Direct parsing from R script.
            //NumericVector group2 = engine.EagerEvaluate(“group2 <- c(29.89, 29.93, 29.72, 29.98, 30.02, 29.98)”).AsNumeric();

            //// Test difference of mean and get the P-value.
            //GenericVector testResult = engine.EagerEvaluate(“t.test(group1, group2)”).AsList();
            //double p = testResult[“p.value”].AsNumeric().First();

            //Console.WriteLine(“Group1: [{0}]”, string.Join(“, “, group1));
            //Console.WriteLine(“Group2: [{0}]”, string.Join(“, “, group2));
            //Console.WriteLine(“P-value = {0:0.000}”, p);

            //example to call complete R script from http://rdotnet.codeplex.com/discussions/262426
            //REngine R = REngine.GetInstanceFromID(“RDotNet”);
            //R.EagerEvaluate(“source(“MyRscript.r”)”);
            engine.EagerEvaluate(“source(“test.r”)”);
            Console.ReadLine();
        }
    }
}

Here is R script test.r which resides in the same Release directory as the C# program.

G<-c(1,2,3)
G
cat(‘hello from r’, G)

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!

Linked list for interviews in a Python job. Or try R code walkthrough?

ome will always say how interviewer will test your coding capabilities. This is one popular question for any job in this field. Anyone have any other popular questions for their potential job? How about a an R code walkthrough?

https://codereview.stackexchange.com/questions/117668/linked-list-for-interviews

I just posted this old legacy R course if you are interested. This include R code walkthrough. I have many posted on this language here

Purchase here if interested

http://quantlabs.net/academy/buy-all-of-our-r-courses/

To be quite honest, I am quite surprised on how popular this seems to be among my site visitors.

Note that this is older version of R using version 2.15!

Here are the details with a video at this location

R Course with Technical Analysis

Module 1

Technical Analysis in R

Unit 1

30 day moving average function

Unit 2

2 sided moving average for mean rolling window

Unit 3

R Code Walkthrough Improved Moving Average using intra day for Forex data

Unit 4

The improved moving average

Unit 5

R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter

Unit 6

Love level Improved Moving Average functions with testing code

Unit 7

R source code for trading script with update portfolio, position size, MA, cross over, SMA, optimize parameters pt 2

Unit 8

R source code for trading script including MACD, Omega performance, RSI, and Bollinger Band measuring strategy and portfolio performance with plots Pt 3

R Course with Quant including GARCH

Module 1

Quant trading in R

Unit 1

Walthrough Parallel R Model Prediction Building and Analytics

Unit 2

Intro to GARCH forecasting with various R packages

Unit 3

How to use GARCH for predict market movements

Unit 4

How to use GARCH to predict distributions

Unit 5

GARCH trading R script walkthrough with a rolling window

R Course with Quant

Module 1

Intro

Unit 2

An ARMA model R code walkthrough

Unit 3

Checklist of forecasting with ARIMA: is time series stationary, differentiate, ARIMA(p,d,q), and which AMRA model to use?

Unit 4

R code walkthrough: Detrend to use Auto ARIMA modelling and forecast with statistical data and Ljung BoxTest

Unit 5

My first version of ARIMA R script with Forex data and Equity 1 and 5 min frequency

Unit 6

Bayesian analysis to Compare algorithms with Gibbs

Unit 7

Markov Chain R source code walkthrough

Unit 8

Monte Carlo R Walkthrough Demo

Unit 9

An alternative to running a Monte Carlo simulation

Unit 10

R code walkthrough Mean Absolute Deviation with Efficiency Frontiers Demo

R Course with Mean Reversion and Pair Trading

Module 1

Mean Reversion in R

Unit 1

Backtesting a Strategy with Mean Reversion

Unit 2

Mean Reversion Euler with Ornstein Uhlenbeck process

Unit 3

Pairs trading R source code walkthrough with mean reverting logic, spread and beta calculation

Module 2

Pair Trading in R

Unit 1

Poor mans Pair Trading with Cointegration R Walkthrough

Unit 2

Pair trading with S&P 500 companies

Unit 3

Pairs trading with testing cointegration

Unit 4

Seasonal pair trading

Unit 5

Unit 6

Pairs Trading R Code Walkthrough

Unit 7

Pairs trading with a Hedge Ratio Demo

Unit 8

R Code Walkthrough Back testing with trading pair with CAPM

Unit 9

Gold versus Fear in Cointegration test

R Course with Arbitrage and Volatility

Arbitrage and Volatility

Module 1

Arbitrage in R

Unit 1

Beating a random walk with arbitrage

Unit 2

Beating a random walk with arbitrage

Unit 3

Time Based Arbitrage Opportunities in Tick Data: Why low latency is needed in HFT?

Unit 4

Building a currency graph with arbitrage

Unit 5

Arbitrage: Modelling returns with CAPM APT aka Abritrage Pricing Theory

Unit 6

Indian equity market index NIFTY anaysis with CAPM vs APT aribitrage pricing theory using PCA and moment analysis

Module 2

Volatility in R

Unit 1

R Code Walkthrough Adding a volatility filter with VIX

Unit 2

R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter

Unit 3

Mean Reverting with Volatility Spike

Unit 4

Trading with GARCH volatility R script walkthrough demo

Unit 5

Jeff Augen volatility spike code

Reminder from yesterday. This closes out TONIGHT as well:

This is the your chance to learn about behind the scenes of these trading patterns I presented on Monday night. I have made this replay video now private which means it is only available to my Quant Elite Members. This is a very limited and exclusive offering to access it! I even revealed the source of how the Python code was created to generate them, This will never be seen again after this Friday! It is way too valuable that I don’t need the world to know how these work.

This posting will be removed this Friday night Eastern Standard Time (same as NYC)!

I Want To Learn Trading Patterns Now

Get your access to this via my 3 month Quant Elite Membership if interested!

Please find the upcoming new items I will be adding the next few months for this membership:

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. (this is partially done now with access for this membership)

3. Daily charting within the Quant Analytics service.

Here are the details with benefits of this trial membership

http://quantlabs.net/academy/introduction-quant-elite-membership/

REMEMBER: My patterns talk will be removed forever as of Friday!!!

Always remember I just created the online store for all other product and services.

I Want to Learn Trading Patterns Now

Please find the upcoming new items I will be adding the next few months for this membership:

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. (this is partially done now with access for this membership)

3. Daily charting within the Quant Analytics service.

Here are the details with benefits of this trial membership

http://quantlabs.net/academy/introduction-quant-elite-membership/

RMEMEBER: My patterns talk will be removed forever as of Friday!!!

Always remember I just created the online store for all other product and services.

P.S. Let me know if you are interested in an annual term as well.

Buy all of our R courses with R code walkthrough

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!

Applied Economic Analysis With R code walkthrough

It seems there are set of R exercises found on R-Bloggers (for R course walkthrough) if you are interested in studying econometric data. I can find this very useful if you want to focus on forward looking data for proper forecast. I do this as part of my Quant Analytic service you can find below.

https://towardsdatascience.com/bayesian-linear-regression-in-python-using-machine-learning-to-predict-student-grades-part-2-b72059a8ac7e

I just posted this old legacy R course if you are interested. This include R code walkthrough. I have many posted on this language here

Purchase here if interested

http://quantlabs.net/academy/buy-all-of-our-r-courses/

To be quite honest, I am quite surprised on how popular this seems to be among my site visitors.

Note that this is older version of R using version 2.15!

Here are the details with a video at this location

R Course with Technical Analysis

Module 1

Technical Analysis in R

Unit 1

30 day moving average function

Unit 2

2 sided moving average for mean rolling window

Unit 3

R Code Walkthrough Improved Moving Average using intra day for Forex data

Unit 4

The improved moving average

Unit 5

R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter

Unit 6

Love level Improved Moving Average functions with testing code

Unit 7

R source code for trading script with update portfolio, position size, MA, cross over, SMA, optimize parameters pt 2

Unit 8

R source code for trading script including MACD, Omega performance, RSI, and Bollinger Band measuring strategy and portfolio performance with plots Pt 3

R Course with Quant including GARCH

Module 1

Quant trading in R

Unit 1

Walthrough Parallel R Model Prediction Building and Analytics

Unit 2

Intro to GARCH forecasting with various R packages

Unit 3

How to use GARCH for predict market movements

Unit 4

How to use GARCH to predict distributions

Unit 5

GARCH trading R script walkthrough with a rolling window

R Course with Quant

Module 1

Intro

Unit 2

An ARMA model R code walkthrough

Unit 3

Checklist of forecasting with ARIMA: is time series stationary, differentiate, ARIMA(p,d,q), and which AMRA model to use?

Unit 4

R code walkthrough: Detrend to use Auto ARIMA modelling and forecast with statistical data and Ljung BoxTest

Unit 5

My first version of ARIMA R script with Forex data and Equity 1 and 5 min frequency

Unit 6

Bayesian analysis to Compare algorithms with Gibbs

Unit 7

Markov Chain R source code walkthrough

Unit 8

Monte Carlo R Walkthrough Demo

Unit 9

An alternative to running a Monte Carlo simulation

Unit 10

R code walkthrough Mean Absolute Deviation with Efficiency Frontiers Demo

R Course with Mean Reversion and Pair Trading

Module 1

Mean Reversion in R

Unit 1

Backtesting a Strategy with Mean Reversion

Unit 2

Mean Reversion Euler with Ornstein Uhlenbeck process

Unit 3

Pairs trading R source code walkthrough with mean reverting logic, spread and beta calculation

Module 2

Pair Trading in R

Unit 1

Poor mans Pair Trading with Cointegration R Walkthrough

Unit 2

Pair trading with S&P 500 companies

Unit 3

Pairs trading with testing cointegration

Unit 4

Seasonal pair trading

Unit 5

Unit 6

Pairs Trading R Code Walkthrough

Unit 7

Pairs trading with a Hedge Ratio Demo

Unit 8

R Code Walkthrough Back testing with trading pair with CAPM

Unit 9

Gold versus Fear in Cointegration test

R Course with Arbitrage and Volatility

Arbitrage and Volatility

Module 1

Arbitrage in R

Unit 1

Beating a random walk with arbitrage

Unit 2

Beating a random walk with arbitrage

Unit 3

Time Based Arbitrage Opportunities in Tick Data: Why low latency is needed in HFT?

Unit 4

Building a currency graph with arbitrage

Unit 5

Arbitrage: Modelling returns with CAPM APT aka Abritrage Pricing Theory

Unit 6

Indian equity market index NIFTY anaysis with CAPM vs APT aribitrage pricing theory using PCA and moment analysis

Module 2

Volatility in R

Unit 1

R Code Walkthrough Adding a volatility filter with VIX

Unit 2

R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter

Unit 3

Mean Reverting with Volatility Spike

Unit 4

Trading with GARCH volatility R script walkthrough demo

Unit 5

Jeff Augen volatility spike code

Reminder from yesterday. This closes out TONIGHT as well:

This posting will be removed this Friday night Eastern Standard Time (same as NYC)!

I Want To Learn Trading Patterns Now

Get your access to this via my 3 month Quant Elite Membership if interested!

Please find the upcoming new items I will be adding the next few months for this membership:

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. (this is partially done now with access for this membership)

3. Daily charting within the Quant Analytics service.

Here are the details with benefits of this trial membership

http://quantlabs.net/academy/introduction-quant-elite-membership/

REMEMBER: My patterns talk will be removed forever as of Friday!!!

Always remember I just created the online store for all other product and services.

I Want to Learn Trading Patterns Now

Please find the upcoming new items I will be adding the next few months for this membership:

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. (this is partially done now with access for this membership)

3. Daily charting within the Quant Analytics service.

Here are the details with benefits of this trial membership

http://quantlabs.net/academy/introduction-quant-elite-membership/

RMEMEBER: My patterns talk will be removed forever as of Friday!!!

Always remember I just created the online store for all other product and services.

P.S. Let me know if you are interested in an annual term as well.

Buy all of our R courses with R code walkthrough

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!

Bayesian Linear Regression in Python: Using Machine Learning. Is R code walkthrough better?

If you are into machine learning, this is one popular technique used for forecasting. Actually, using Bayesian appears to be standard. Many people have like this posting which is an entire tutorial on how to accomplish this task. Here is the article for you:

https://towardsdatascience.com/bayesian-linear-regression-in-python-using-machine-learning-to-predict-student-grades-part-2-b72059a8ac7e

Is R better

This particular totorial is completed in Python but R could be somewhat useful in other instances.

Lastly, I am quite surprised on how well my old legacy R course was quite popular. In case you missed it, here are the details:

I just posted this old legacy R course if you are interested. This include R code walkthrough. I have many posted on this language here

Purchase here if interested

http://quantlabs.net/academy/buy-all-of-our-r-courses/

To be quite honest, I am quite surprised on how popular this seems to be among my site visitors.

Note that this is older version of R using version 2.15!

Here are the details with a video at this location

R Course with Technical Analysis

Module 1

Technical Analysis in R

Unit 1

30 day moving average function

Unit 2

2 sided moving average for mean rolling window

Unit 3

R Code Walkthrough Improved Moving Average using intra day for Forex data

Unit 4

The improved moving average

Unit 5

R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter

Unit 6

Love level Improved Moving Average functions with testing code

Unit 7

R source code for trading script with update portfolio, position size, MA, cross over, SMA, optimize parameters pt 2

Unit 8

R source code for trading script including MACD, Omega performance, RSI, and Bollinger Band measuring strategy and portfolio performance with plots Pt 3

R Course with Quant including GARCH

Module 1

Quant trading in R

Unit 1

Walthrough Parallel R Model Prediction Building and Analytics

Unit 2

Intro to GARCH forecasting with various R packages

Unit 3

How to use GARCH for predict market movements

Unit 4

How to use GARCH to predict distributions

Unit 5

GARCH trading R script walkthrough with a rolling window

R Course with Quant

Module 1

Intro

Unit 2

An ARMA model R code walkthrough

Unit 3

Checklist of forecasting with ARIMA: is time series stationary, differentiate, ARIMA(p,d,q), and which AMRA model to use?

Unit 4

R code walkthrough: Detrend to use Auto ARIMA modelling and forecast with statistical data and Ljung BoxTest

Unit 5

My first version of ARIMA R script with Forex data and Equity 1 and 5 min frequency

Unit 6

Bayesian analysis to Compare algorithms with Gibbs

Unit 7

Markov Chain R source code walkthrough

Unit 8

Monte Carlo R Walkthrough Demo

Unit 9

An alternative to running a Monte Carlo simulation

Unit 10

R code walkthrough Mean Absolute Deviation with Efficiency Frontiers Demo

R Course with Mean Reversion and Pair Trading

Module 1

Mean Reversion in R

Unit 1

Backtesting a Strategy with Mean Reversion

Unit 2

Mean Reversion Euler with Ornstein Uhlenbeck process

Unit 3

Pairs trading R source code walkthrough with mean reverting logic, spread and beta calculation

Module 2

Pair Trading in R

Unit 1

Poor mans Pair Trading with Cointegration R Walkthrough

Unit 2

Pair trading with S&P 500 companies

Unit 3

Pairs trading with testing cointegration

Unit 4

Seasonal pair trading

Unit 5

Unit 6

Pairs Trading R Code Walkthrough

Unit 7

Pairs trading with a Hedge Ratio Demo

Unit 8

R Code Walkthrough Back testing with trading pair with CAPM

Unit 9

Gold versus Fear in Cointegration test

R Course with Arbitrage and Volatility

Arbitrage and Volatility

Module 1

Arbitrage in R

Unit 1

Beating a random walk with arbitrage

Unit 2

Beating a random walk with arbitrage

Unit 3

Time Based Arbitrage Opportunities in Tick Data: Why low latency is needed in HFT?

Unit 4

Building a currency graph with arbitrage

Unit 5

Arbitrage: Modelling returns with CAPM APT aka Abritrage Pricing Theory

Unit 6

Indian equity market index NIFTY anaysis with CAPM vs APT aribitrage pricing theory using PCA and moment analysis

Module 2

Volatility in R

Unit 1

R Code Walkthrough Adding a volatility filter with VIX

Unit 2

R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter

Unit 3

Mean Reverting with Volatility Spike

Unit 4

Trading with GARCH volatility R script walkthrough demo

Unit 5

Jeff Augen volatility spike code

Reminder from yesterday. This closes out TONIGHT as well:

This posting will be removed this Friday night Eastern Standard Time (same as NYC)!

I Want To Learn Trading Patterns Now

Get your access to this via my 3 month Quant Elite Membership if interested!

Please find the upcoming new items I will be adding the next few months for this membership:

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. (this is partially done now with access for this membership)

3. Daily charting within the Quant Analytics service.

Here are the details with benefits of this trial membership

http://quantlabs.net/academy/introduction-quant-elite-membership/

REMEMBER: My patterns talk will be removed forever as of Friday!!!

Always remember I just created the online store for all other product and services.

I Want to Learn Trading Patterns Now

Please find the upcoming new items I will be adding the next few months for this membership:

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. (this is partially done now with access for this membership)

3. Daily charting within the Quant Analytics service.

Here are the details with benefits of this trial membership

http://quantlabs.net/academy/introduction-quant-elite-membership/

RMEMEBER: My patterns talk will be removed forever as of Friday!!!

Always remember I just created the online store for all other product and services.

P.S. Let me know if you are interested in an annual term as well.

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!

QUANTLABS.NET

Quant Resources for Traders

Tag Archives: code

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