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  • Book Overview & Buying Mastering Python for Finance
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Mastering Python for Finance

Mastering Python for Finance

3.3 (7)
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Mastering Python for Finance

Mastering Python for Finance

3.3 (7)

Overview of this book

If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Table of Contents (12 chapters)
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11
Index

Introduction to algorithmic trading


In the 1990s, exchanges had already begun to use electronic trading systems. By 1997, 44 exchanges worldwide used automated systems for trading futures and options with more exchanges in the process of developing automated technology. Exchanges such as the Chicago Board of Trade (CBOT) and the London International Financial Futures and Options Exchange (LIFFE) used their electronic trading systems as an after-hours complement to traditional open outcry trading in pits, giving traders 24-hour access to the exchange's risk management tools. With improvements in technology, technology-based trading became less expensive, fueling the growth of trading platforms that are faster and powerful. Higher reliability of order execution and lower rates of message transmission error deepened the reliance of technology by financial institutions. The majority of asset managers, proprietary traders, and market makers have since moved from the trading pits to electronic...

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Mastering Python for Finance
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