Connor Dunnigan 6 jaren geleden
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+# Crowd Sourced Comp Sci Course
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+### asdf
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+While studying computer science at school I found that I was learning best from online courseware and youtube tutorials rather than the slides from my professor. I was surprised at how much open source material was online as well as the number of cheap courses that I would purchase from sites such as Udemy and Coursera. While I found that most of these courses were helpful, it was really only a few lessons that made concepts click for me. 
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+	For my passion project, I wanted to see how far I could get with developing a crowd sourced computer science course.  My program/site would allow users to create a hierarchy of concepts from beginner to advanced and propose the best material related to each concept. Users can submit a video, link, text or image to be affiliated with a certain lesson and other users can “vote” on it to determine it’s relevance when others search for that concept. Similar to stack overflow, contributors can build their reputation by contributing material that a high quantity of others “vote” for. This will allow them more power in their own votes as well as their initial proposals. This also ensures that bad or incorrect content falls to the bottom or gets deleted. 
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+**Probably getting way ahead of myself…
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+	I have been deeply interested in the implications of blockchain technology and was looking to find a way to dip my feet into the development of decentralized apps (Dapps).  Although this may be far out of my reach I thought it would be neat to create an incentivization mechanism in which users could earn tokens native to my platform that could be used in place of or along side the vote function. I have done a couple tutorials using solidity and would like to see if I could learn how define the token structure using a smart contract. 
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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:
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+Developer Index
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+	*Analyze GitHub commits, forks, pull requests and contributors since GitHub development precedes major development in underlying tech.
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+ICO Database
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+	*Determine actionable trends in successful ICO’s.
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+Sentimental Analysis
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+	*Twitter especially has its own crypto-community. Maybe attempt to use their API to identify popularity of tags or sentiment of popular ”crypto” accounts.
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+	*Query crypto related searches on google (using trends.google.com)
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+Network hash rates(probably too difficult)
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+	*Extract forward price movements from miner power allocation
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+#Evaluation:
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+*Choose different durations
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+*Just test bull market
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+*Just test bear market
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+*Just test flat market
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+(Possibly learn how to use quantopian to backtest)

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-# Your Project Name
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-### a cool tagline...
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-Less than 300 words which describe your project. Etc,....
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-* Your Name Here