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  • šŸ‘‹ Hi, Iā€™m @oscarm417
  • šŸ‘€ Looking to build large, impactfull applications.
  • šŸ“« How to reach me at [email protected]

Oscar Morales's Projects

arima-anomaly-detection icon arima-anomaly-detection

Using chunk based ARIMA model to quickly forecast Power grid PMU data in the hopes of detecting anomalies

breakout-scanner icon breakout-scanner

Scans the market for strong breakouts out of a range. Based on the book quantitative momentum, 52 breakouts yield a higher return than any other type of momentum strategy that looks at historical momentum. This script get scans for high volume breakouts, which usually indicate something fundamental has changed, hence why investors are buying in large quantities.

data-stats-visualizer---r-shiney icon data-stats-visualizer---r-shiney

Dashboard created in R shiny to view data statistics, and conduct basic linear regressions through a GUI. Originally made this for a job interview, but I made a general application that makes it useful to analyze any inputted data.

fuzzy-data-matching icon fuzzy-data-matching

This package helps identify and remove duplicate records from large data sets. Additionally, you can adjust the similarity of thresholds, to identify approximate matches. This was created for identifying duplicate submissions for class action lawsuits. Hope this helps you clean your data sets, identify duplicate records, or standardize data.

hurst-exponent-backtest icon hurst-exponent-backtest

The Hurst exponent tries to quantity momentum, random walk, and mean reversion. Not necessarily a backtest, but more of an analyses on how the Hurst exponent behaves. Based on preliminary tests, in order to match the S&P500 return using the hurst exponent one needs to leverage 3x in order to get the same return. However, the risk adjusted over long periods seem to compensate. This strategy could likely be replicated buying UPRO or other triple leveraged stocks.

imc icon imc

IMC Trading Competition Code

jpmc-task-1 icon jpmc-task-1

Starter repo for task 1 of the JPMC software engineering program

jpmc-task-2 icon jpmc-task-2

Starter repo for task 1 of the JPMC software engineering program

jpmc-task-3 icon jpmc-task-3

Starter repo for task 1 of the JPMC software engineering program

long-short-historical-return-backtest icon long-short-historical-return-backtest

Tests a long short portfolio, which tries to capitalize on the January effect, and the mean reversion properties of stocks. Shorting the best performing the past 5 years, and going long the worst performing in the last 5 years. Returns seems to be higher during January.

momentum-backtest-based-on-lookback-return icon momentum-backtest-based-on-lookback-return

This backtest tries to find the best look back and forward period to trade a stock in order to capitalize on the autoregressive nature of some stocks. Momentum seems to work best after the tax period, and before December. This likely is due to tax reasons.

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