Statistical Arbitrage Automated Trading Strategy

Statistical Arbitrage Automated Trading Strategy

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Experimented with statistical arbitrage
  • Built an object-oriented time series database management system on SQL and Pandas.
  • System analyzes incoming stock data with a correlative analysis algorithm to generate lists of correlated stock pairs.
  • Implemented a statistical arbitrage trading strategy that executes through TD Ameritrade and Robinhood APIs.
  • Autonomous algorithm can effectively predict volatility at a 90% confidence level and whether the opportunity is a buy or sell at a 75% confidence level.