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You're reading from  Learn Algorithmic Trading

Product typeBook
Published inNov 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789348347
Edition1st Edition
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Authors (2):
Sebastien Donadio
Sebastien Donadio
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Sebastien Donadio

Sebastien Donadio is the Chief Technology Officer at Tradair, responsible for leading the technology. He has a wide variety of professional experience, including being head of software engineering at HC Technologies, partner and technical director of a high-frequency FX firm, a quantitative trading strategy software developer at Sun Trading, working as project lead for the Department of Defense. He also has research experience with Bull SAS, and an IT Credit Risk Manager with Socit Gnrale while in France. He has taught various computer science courses for the past ten years in the University of Chicago, NYU and Columbia University. His main passion is technology but he is also a scuba diving instructor and an experienced rock-climber.
Read more about Sebastien Donadio

Sourav Ghosh
Sourav Ghosh
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Sourav Ghosh

Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master's in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing.
Read more about Sourav Ghosh

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Creating a trading strategy that works for markets with reversion behavior

After the momentum strategy, we will now look at another very popular type of strategy, the mean reversion strategy. The underlying precept is that prices revert toward the mean. Extreme events are followed by more normal events. We will find a time where a value such as the price or the return is very different from the past values. Once established, we will place an order by forecasting that this value will come back to the mean.

Reversion strategy uses the belief that the trend of quantity will eventually reverse. This is the opposite of the previous strategy. If a stock return increases too fast, it will eventually return to its average. Reversion strategies assume that any trend will go back to the average value, either an upward or downward trend (divergence or trend trading).

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Learn Algorithmic Trading
Published in: Nov 2019Publisher: PacktISBN-13: 9781789348347

Authors (2)

author image
Sebastien Donadio

Sebastien Donadio is the Chief Technology Officer at Tradair, responsible for leading the technology. He has a wide variety of professional experience, including being head of software engineering at HC Technologies, partner and technical director of a high-frequency FX firm, a quantitative trading strategy software developer at Sun Trading, working as project lead for the Department of Defense. He also has research experience with Bull SAS, and an IT Credit Risk Manager with Socit Gnrale while in France. He has taught various computer science courses for the past ten years in the University of Chicago, NYU and Columbia University. His main passion is technology but he is also a scuba diving instructor and an experienced rock-climber.
Read more about Sebastien Donadio

author image
Sourav Ghosh

Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master's in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing.
Read more about Sourav Ghosh