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TickSmith Releases a Python Tool for the New Generation of Financial Data Scientists

TickSmith, a leader in Big Data applications, released an open-source Python API feature to obtain data from its flagship TickVault big data platform.  Based on Hadoop technology, TickVault processes, stores, and analyzes massive amounts of capital market data. The addition of the Python API  toolkit to TickVault provides data scientists fine-grained access to historical exchange and marketplace data such as top of book, full market depth, derived content and market statistics.

More data scientists are using powerful open source tools such as Python and the extensive analytical libraries such as pandas”, said Tony Bussieres,  SVP Development at TickSmith. “The Python API toolkit combines agility with the capacity to run complex analytical queries with just a few lines of  code.”

A tutorial on how to use the TickVault Python API toolkit is available on TickSmith’s blog.

We have open sourced our Python client to facilitate access to data in our big data platform,” said Bogdan Istrate, TickSmith developer. “A platform user can easily find, for instance, a bid/ask spread over a certain time period, or a volatility measure over the same range. The data returned by the  TickVault Python API is ripe for processing with the high performance ‘pandas’ analysis library, as well as visualization with tools such as ‘matplotlib’. The ability to easily access and analyze specific data is helpful for backtesting algorithmic trading strategies, evaluating trends, and satisfying compliance requirements.”

 

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