In our meeting today, we discussed autocorrelation testing. I had started redoing the Stata project using another built-in ACF test. Ironically, the autocorrelation test results were excessively conclusive about the evidence of autocorrelation in our data. Since this looks too good to be true, will spend this week figuring out exactly what I did wrong to get such impossibly good results.
Also, I was told that there's a prominent Amherst alum working at a well known asset management company that would be interested in talking to me about my thesis idea. I take this opportunity to welcome anyone reading this to contact me even if it is nothing more than just letting me know you are interested in reading about this topic. Or that your heart skips a beat every time you see me publish a new post. Feel free to leave comments or send me an e-mail. I'm tired of seeing 4-5 new spambot trackbacks on my blog everyday and not much else. There is nothing more valuable to me than hearing your opinions. Thank you.
Here's the latest draft of my thesis proposal. I will be presenting this to faculty in the coming week.

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I met with Prof. Woglom today and showed him the Excel file I worked on over this weekend. I will attach the file here when I get a chance.
Trading rules are as follows:
- If stock rises by x% or more, buy long position.
- If stock then falls by x% or more and price is still above the buy-in price, sell current position and furthermore sell short.
- If stock then rises by x% or more and price is still below the second sell-short price, cover short position and buy long position.
- If during a long position the stock falls by x% or more but price is below the buy-in price, then hold.
- If during a short position the stock rises by x% or more but price is above sell-short price, then hold.
- Likewise, if stock initially falls x%, then short position first.
- We apply this strategy to all historical data that we have.