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You're reading from  Mastering Python for Finance. - Second Edition

Product typeBook
Published inApr 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789346466
Edition2nd Edition
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Author (1)
James Ma Weiming
James Ma Weiming
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James Ma Weiming

James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.
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Summary

A backtest is a simulation of a model-driven investment strategy's response to historical data. The purpose of performing experiments with backtests is to make discoveries about a process or system and to compute various factors related to either risk or return. The factors are typically used together to find a combination that is predictive of the return.

While working on designing and developing a backtest, it would be helpful to think in terms of the concept of creating video games. In a virtual trading environment, components are needed for the simulation of price feeds, the order-matching engine, the order book management, as well as functions for account and position updates. To achieve these functionalities, we can explore the concept of an event-driven backtesting system.

In this chapter, we designed and implemented a backtesting system that interacts with...

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Mastering Python for Finance. - Second Edition
Published in: Apr 2019Publisher: PacktISBN-13: 9781789346466

Author (1)

author image
James Ma Weiming

James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.
Read more about James Ma Weiming