Easy setup and loads neat charts in a browser. The interesting part would be the deploying the server edition on a remote web hosting server to a browser client. From there, you could deploy this onto a mobile device like an iPad. Neat!
Is this the first time you have heard of this? This is common with HFT shops.
CME Group Inc. fined a trader, James Groth, $55,000 and suspended him for 10 days for spoofing, a form of market manipulation that’s received a flood of recent attention because of allegations it helped spur the 2010 flash crash.
To read the entire article, go to http://bloom.bg/1TMUcVq
I am now entering a new phase of focusing on nothing but market trading model and strategy development. I have been knee deep in the weeds with many forecasting models including ARIMA, ARMA, and GARCH. In fact, I am hosting my own online event to introduce an ARIMA forecasting model in R.
This will be an online event happening this Tues Oct 23 at 7pm!
This is pretty well our first compete end to end R script strategy that includes real world market data capture, parallelizing processes with a complete model with plotting. As ARIMA is one of the most popular forecasting model types out there, I look at the various types of parameters used in auto-regression with p (AR)and q (moving average) parameters. I also show a custom function that can be used to auto fit this including parallelizing. It is important when to test for a stationary time series and when to differentiate it. I also show which R package to use to run an ARIMA processed simulation with proper prediction. End result plots are also generated.
This will be only for Premium Members so join now to get the instant access nowto be registered and get the login details! –> SIGN UP HERE <–
Got questions or feedback on this, let me know
First Google Android mobile app details: Learn quantitative analysis & trading with free lessons from Quantlabs.net
Quant Trading Tutorials & News
Learn next generation quant analysis and quant trading involving all practical, real-world aspects of automated, systematic and algorithmic-based systems including high frequency trading (HFT) for stocks, futures, options and forex.
Quantlabs.net’s regular tutorials feature the R open source statistical programming language, the proprietary Matlab statistical package, quant trading indicators (including GARCH, ARIMA and ARMA) and demonstrations of truly useful software and programming tips and tricks.
Quantlabs.net teaches all this and more with regular updates — never miss a single lesson with this handy app that pulls tutorials straight from the Quantlabs.net blog feed.
3. Promo text
Learn quantitative analysis & trading with free lessons from Quantlabs.net