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Greetings --
I have long encouraged individual traders and small trading companies to improve their analytical skills, particularly in areas of mathematics, programming, modeling, and simulation. The link at the bottom of this posting is a presentation by Stephen Simmons at one of the professional conferences held in 2016 related to use of the Python language. Stephen is a developer working in the commodities trading area of J. P. Morgan in London.
His talk is about Pandas, a Python library developed by Wes McKinney, formerly with Cliff Asness' hedge fund, AQR Capital, about five years ago. Pandas is central to analysis of time series data, and is a popular topic at these conferences and seminars. If you are planning to learn to develop systems using Python, and perhaps machine learning, you will need to learn about Pandas -- but begin with basic Python first.
The first two minutes of the video are the part I recommend everyone hear. Stephen describes that there are several thousand developers working with Python in J. P. Morgan. Add Chase, Citi, ANZ, Goldman Sachs, Shaw, Renaissance, Simons, and hundreds more we seldom hear about.
As I write in my "Foundations" book, the days of chart reading, long term holding, and simple trading algorithms are over. The business of trading is changing with astonishing speed. It is now about applied mathematics, machine learning, Bayesian statistics. Traders without skills in math, programming, statistical analysis, and scientifically developed trading techniques are at a severe disadvantage. Stephen and his colleagues will "eat the lunch" of unprepared traders.
https://www.youtube.com/watch?v=CowlcrtSyME
Best regards, Howard
I have long encouraged individual traders and small trading companies to improve their analytical skills, particularly in areas of mathematics, programming, modeling, and simulation. The link at the bottom of this posting is a presentation by Stephen Simmons at one of the professional conferences held in 2016 related to use of the Python language. Stephen is a developer working in the commodities trading area of J. P. Morgan in London.
His talk is about Pandas, a Python library developed by Wes McKinney, formerly with Cliff Asness' hedge fund, AQR Capital, about five years ago. Pandas is central to analysis of time series data, and is a popular topic at these conferences and seminars. If you are planning to learn to develop systems using Python, and perhaps machine learning, you will need to learn about Pandas -- but begin with basic Python first.
The first two minutes of the video are the part I recommend everyone hear. Stephen describes that there are several thousand developers working with Python in J. P. Morgan. Add Chase, Citi, ANZ, Goldman Sachs, Shaw, Renaissance, Simons, and hundreds more we seldom hear about.
As I write in my "Foundations" book, the days of chart reading, long term holding, and simple trading algorithms are over. The business of trading is changing with astonishing speed. It is now about applied mathematics, machine learning, Bayesian statistics. Traders without skills in math, programming, statistical analysis, and scientifically developed trading techniques are at a severe disadvantage. Stephen and his colleagues will "eat the lunch" of unprepared traders.
https://www.youtube.com/watch?v=CowlcrtSyME
Best regards, Howard