/Algorithmic_Trading

Algorithmic Trading Project

Primary LanguageJupyter Notebook

Algorithmic Trading

trading

Project Purpose:

Demonstrate the use of a trading algorithm with Python and various API's to in a paper trading environment as an example for real world algorithmic trading with a cloud-hosted script trading agaisnt an actual brokerage account.

Project Overview:

High frequency trading algorithm executed with Alpaca API and back tested with Backtrader. User discrection for selection of equity security to be traded during regular trading hours. Results are plotted to reflect preformance of trading strategy.

Built With:

Securities Tested:

  • Tesla (TSLA)
  • Facebook (FB)
  • Washington Prime Group Inc (WPG)
  • Amazon (AMZN)
  • General Electric (GE)

Strategies Demonstrated

  • GoldCross (modified)
  • SMA Crossover (modified)