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tastypotinc's Projects

pepredictor icon pepredictor

The project parsed through a data file containing 70 fundamental / momentum attributes (Returns, Volatility, RSI etc) for ~2200 US Equity Tickers and use KNN algorithm to find the nearest neighbor for a given stock and determines its Predicted fundamental ratios (P/E, P/B and P/S). Also generated a 95% confidence range for price using yearly volatility of the equity. Later improvements, as a part of the Data Science capstone project @ General Assembly, took advantage of the Pandas and Gradient Boosted Regression Techniques from Scikit learn.

stcrawler icon stcrawler

爬取牛人的股票持仓信息,并发邮件到指定邮箱

stock-analysis-using-map-reduce-and-hadoop icon stock-analysis-using-map-reduce-and-hadoop

Used Mapreduce on a Hadoop environment at CCR(University at Buffalo) to compute the monthly volatility of about 3000 stocks with each having data of about three years .There were a total of 40000 files.

stock-analysis-using-pig-and-hive icon stock-analysis-using-pig-and-hive

Used Pig and hive on a Hadoop environment at CCR(University at Buffalo) to compute the monthly volatility of about 3000 stocks with each having data of about three years .There were a total of 40000 files. The Performance was compared with Map-Reduce.

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