Thoughts before the o-chem final
I am taking an exam in 6 hours that will play a big role in whether or not i go to med school. Its a scary feeling because I am old enough now to realize the impact of this outcome, not just on my future, but on my family. For the first time I feel like I am not doing this just as a individual, but as someone who carries the hopes and dreams of his parents. No, Im not doing this because they want me too, hell they supported me when I wanted to be an artist at the age of 21 —21 is old enough to scare people with that decision. They have not only invested time and money into my education, when I know thats the last thing they can afford, they have also invested their dreams. So while i havent shaved in weeks and my room was trashed (until my awesome girlfriend arrived and folded my stagnating laundry while I freaked out over E2 reactions), I am doing this not just for myself, but for them. And whatever happens, I will follow this dream to the end.
I am applying that computational neuroscience math to stocks. I was in the process of running a Fourier decomposition on Starbuck’s data for the past three years (in R) when I realized that my sampling frequency was lower than 1.157*10^-5 Hz (longer than 1 day). While this resolution gives me a good look at the low-pass trends, I am interested in day-trading. So, I decided to find higher resolution data to train and test my really simple feed-forward network on.
After an afternoon of searching through companies offering 10 years of historical stock data for anywhere between 5 euros a stock for 1 month of data to $85,000 for all stocks for 12 years, I finally found what I was looking for. $50 gets you a DVD with bihourly data for every useful US equity for the last year. When it arrives, I plan on cross-validating it with Google Finance to see how accurate it is.
http://www.equitymarketdata.com/historical
You can also get a free 14 day trial: https://www.equitymarketdata.com/login
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For President Obama’s 100th day in office, MIT SENSEable City Lab created visualizations of mobile phone call activity that characterize the inaugural crowd and answer the questions: Who was in Washington, D.C. for President Obama’s inauguration day? When did they arrive, where did they go, and how long did they stay?
http://www.gaffta.org/2010/05/26/senseable-cities-exploring-urban-futures/
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“I will hazard a prediction. When you are 80 years old, and in a quiet moment of reflection narrating for only yourself the most personal version of your life story, the telling that will be most compact and meaningful will be the series of choices you have made. In the end, we are our choices.” —
Jeff Bezos
Founder of Amazon.com
Princeton 2010 Graduation Speech
http://www.princeton.edu/main/news/archive/S27/52/51O99/index.xml
View the Universe from Quantum Foam to Galactic Superclusters -
Literally, zoom ALL THE WAY in and out