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Description
- Demo app mapping neighborhood moods using Twitter and Kinesis.
Story
- At first, I was trying to learn about processing streams using Apache Spark. I then ran into a new product at the time, AWS Kinesis Analytics.

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- website
Description
- Web application helping day traders minimize risk by sticking to rules.
Story
- Creating this product was a 1.5 year effort by 3 people including myself. We were trying to create a useful tool for ourselves and others.

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- code
Description
- Backtests a simple trading algorithm using pyAlgoTrade.
- The algorithm
  - index = the 30 stocks in the DOW 30
  - portfolio = null
  - each day:
    - sell all stocks in portfolio
    - yesterdays_top_5 = yesterday's 5 gainers from index. A gain means a percent change and can be negative (if every stock in index lost for example)
    - buy yesterdays_top_5 into portfolio
- Hypothesis behind the algorithm
  - The weather today is like the weather tomorrow except for when it's not.
  - Applied to stocks instead of weather.
Story
- I have an interest in finance and wanted to see what open source backtesting libraries were available.

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- code
Description
- Enhances text. Replaces each word greater than 3 characters in the input with a fancy synonym. Fancy means long.
Technical Details
- Uses an Ajax call to prevent the page from refreshing.
- Backend logic done in PHP.
Story
- This was created at a Hackathon in 2012.

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- code
Description
- Mobile site simulating a fully loaded iPod.
- Input is a list of artists. Upon clicking an artist, an album list is retrieved. Upon clicking an album, a song list is retrieved. Upon clicking on a song, a video is retrieved from YouTube.
Technical Details
- Implemented entirely in client-side HTML5 and Javascript.
Story
- I created this app over a spring break in college to learn about AJAX, Javascript, and mobile-first design.