Python Trading

The low learning curve Python programming language has grown in popularity over the past decade. Data Scientists, algorithmic developers, quantitative financial professionals, and market enthusiasts have helped this become a strong tool for algorithmic research, development, and trading. Python for the trading industry comes with tools including:

  • Jupyter notebooks
  • NumPy for High-Speed Numerical Processing
  • Pandas for Efficient Data Analysis and Time Series Analysis Techniques
  • Matplotlib for Data Visualization
  • TA-Lib for Technical Analysis
  • Tensor flow

Posts

Kershner Trading, parent of CloudQuant

Kershner Trading Announces the Formation of CloudQuant

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Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary that is the Trading Strategy Incubator.