Update 'Idea_2_Description.md'

Idea_2_Description.md

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-In 2013, my freshman year of college, I stumbled upon coinbase when a friend of mine was bragging about the return he made from holding bitcoin. The concept of cryptocurrencies let alone investing was foreign to me at the time, but I foolishly bought in not knowing what I was doing. When I started studying computer science a few years ago, I began trying to understand the underlying blockchain technology and why so many were considering it to be revolutionary. Aside from the theory behind it, I was curious how these cryptos were being traded and how to manage my own portfolio.  Knowing the space is still incredibly immature and susceptible	 to manipulation, I wanted to attempt to draw correlations between unconventional data and price movement.  From the traders that I follow on twitter, I gathered that many were using a combination of sentimental analysis along with technical analysis to devise their trading strategies.  I was very curious as to what “alternative data” I could use in a trading strategy.  For my project, I wanted to backtest a strategy using a combination of the following:
+In 2013, my freshman year of college, I stumbled upon coinbase when a friend of mine was bragging about the return he made from holding bitcoin. The concept of cryptocurrencies let alone investing was foreign to me at the time, but I foolishly bought in not knowing what I was doing. When I started studying computer science a few years ago, I began trying to understand the underlying blockchain technology and why so many were considering it to be revolutionary. Aside from the theory behind it, I was curious how these cryptos were being traded and how to manage my own portfolio.  Knowing the space is still incredibly immature and susceptible	 to manipulation, I wanted to attempt to draw correlations between unconventional data and price movement.  I was very curious as to what “alternative data” I could use in a trading strategy.  For my project, I wanted to backtest a strategy using a combination of the following:
 
 Developer Index
 * Analyze GitHub commits, forks, pull requests and contributors since GitHub development precedes major development in underlying tech.
@@ -10,8 +10,9 @@ Sentimental Analysis
 * Twitter especially has its own crypto-community. Maybe attempt to use their API to identify popularity of tags or sentiment of popular ”crypto” accounts.
 * Query crypto related searches on google (using trends.google.com)
 
-Network hash rates(probably too difficult)
-* Extract forward price movements from miner power allocation
+Technical Analysis
+* Although TA is a more traditional tool, I wanted to also try to identify patterns from with common indicators (eg. moving avg)
+
 
 Evaluation:
 * Choose different durations