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Project that listens on a news source and makes a prediction on the sentiment. Based on the sentiment, allows one to make a decision. Once decision is made, the project allows one to go out to a historical ticker source to see if the action yielded any profits. Project consists of three packages : 1. Twitter api and related parsing Goes out to twitter and listens on interesting news from Reuters via the Twitter streaming API Also filters on the information that we are interested in and the time of the day. The news is captured and written to output. 2. Sentiment The sentiment analysis takes the input from package 1 and looks up the sentiment using a sentiment analysis API Based on the score back from the API, we will make a decision to execute or not 3. Stock analyser After a gap of 5 mins ( Assuming this is the time it takes for information to flow to the general market), we will query a finance API just after executing the query and 5 mins after. If we decided to previously buy the stock ( based on a positive sentiment) and there is an increase in the stock price, we are in profit and vice-versa.
amp-ads-testing
This projects tests the amp-ad builtin from the amphtml project.CrossfitScraper
A Python parser that iteratively scrapes the WODs on Crossfit.com since 2002 and saves them to a tab separated file. Uses BeautifulSoup and Pandas.CrossfitAnalyser
An IPython Notebook that describes this blog post @ Websitecrossparser
A parser that scrapes the crossfit.com website for workouts. The eventual goal is to extract intelligent analytics and perform trend analysisRails-Bootstrap
dash
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