After a month or so of quietly dancing around the URL and making hints on this blog, I’m officially announcing the opening of my forums!
I created these forum to serve as knowledge base (an idea lab) for financial experiments using Rapidminer, and solely for my readers.
Registration is open and feel free to post your questions!
March was my biggest month for web traffic ever! This probably has nothing to do with my sense of wit or writing style, but rather due to my Rapidminer 5.0 Video Tutorials and a faster template. The change in my blog template to a simplified version helped immensely with the load and response time. I noticed an immediate bump in keeping first time visitors on my site the very next day!
March was my worst month for web income because I cut out all advertisements on this blog (for now). With the exception of text link ads, which netted me about $36 for the last month, I had no other income.
On an interesting side note, I was able to max out my free Dropbox space from 2GB to almost 10 GB through the generosity of my readers. All they did was signup for their own Dropbox account using my referral link and I ended getting nearly 8GB's of additional space. Now I can move my large data around with ease.Thanks!
For the month of March 2010 I had the following blog statistics:
I have a feeling that these numbers will drop after I post my last Rapidminer video and go on break.
In this video we start building a financial time series model, using S&P500 daily OHLCV data, and the windowing, sliding validation, and forecasting performance operator. This Part 1
This video can be viewed in HQ by clicking this link here. Please make sure you have Quicktime or another MP4 capable reader installed in your browser.
If you like this video, sign up for Dropbox using this referral link. I get an additional 250 megs of space for FREE if you do. I really appreciate it!
PS: Check out my forums!
Thanks to all who signed up for their very own Dropbox account using my referral link! I went from 2 gigs of space to just over 5 gigs! I can now move large files easier between computers (without using memory sticks), and be able to collaborate on Rapidminer projects with people.
In this video we review data discovery techniques for Financial Time Series data by calculating a Simple Moving Average (SMA), creating a non-linear trend line using a Neural Net operator, and creating a time series prediction line using a Neural Net operator.
This video can be viewed in HQ by clicking this link here. Please make sure you have Quicktime or another MP4 capable reader installed in your browser.
These videos and their corresponding data files, will be made available using Dropbox within the next week or so (so he hopes). Please consider installing Dropbox by using the referral link here. If you signup using the referral link, I get more free space! Believe me, I sorely need more Dropbox space. Thanks!
Good Morning! I've been using Dropbox as a way to share Rapidminer Experiments and Data with readers. It's vastly better at sharing large data files than my forums and I might completely abandon my forums (for now) in favor of consulting with Dropbox.
If you haven't used Dropbox before, I suggest you get it. Trader W0NK0 was the guy that clued me into it last year and since then we've been sharing market data, python files, and silly stuff. Make sure to signup using my referral link so I can get more free space with every signup.
I'll be recording the first of three Time Series Rapidminer Video Tutorials next week and its probably a good idea to subscribe to my RSS feed now. This way you'll be alerted when the video is posted.
I just wanted to let my readers know that you can view my video tutorials in high quality (HQ) right here on Neural Market Trends. Just click on the "Video download link (HQ)" link below the You Tube video player and a clear, high quality video, will load in. Believe me, it doesn't look anything like that You Tube video compression crap.
My Time Series and Forecasting video tutorials (#8 through #10) will be presented only on Neural Market Trends, not on You Tube.
In this tutorial, we highlight Rapidminer's weighting operator using an evolutionary approach. We use financial data to preweight inputs before we feed them into a neural network model to try to better classify a gold trend.
Video download link (HQ): Rapidminer 5.0 Video Tutorial #7
I felt like a kid in a candy store tonight when I picked up the daily mail. I got my first shipment of old German money notes in the today, the ones I won on Ebay for about $1.75. Below is a photograph of an almost 100 year old 1000 Reichsbanknote. It will be 100 years old on April 21st of this year. Its in really good condition and beautifully decorated. Even if its fake, you can't go wrong for $1.75!
(Front – note the date below the 1000)
(Reverse)
Its hard to believe but the German people, just a mere 100 years ago, probably never fathomed that their Reichsnotes would never lose value and be sold on Ebay for a fraction of its original value.
Calling all marketers! In this video we discuss how we can use Rapidminer to create a decision tree to help us find "sweet spots" in a particular market segment. This video tutorial uses the Rapidminer direct mail marketing data generator and a split validation operator to build the decision tree.
Video download link (HQ): Rapidminer 5.0 Video Tutorial #6
