Building Trading Bots Using Java
English, Shekhar Varshney, 2016More than 10 pieces in stock at supplier
Product details
Build an automated currency trading bot from scratch with Java. In this book, you will learn about the nitty-gritty of automated trading and have a closer look at Java, the Spring Framework, event-driven programming, and other open source APIs, notably Google's Guava API. Development will be test-driven with unit testing coverage. The central theme of building trading bots using Java is to create a framework that can facilitate automated trading on most brokerage platforms, with minimum changes. At the end of the journey, you will have a working trading bot, with a sample implementation using the OANDA REST API, which is free to use.
What you'll learn:
- Find out about trading bots
- Discover the details of tradeable instruments and apply bots to them
- Track and use market data events
- Place orders and trades
- Work with trade/order and account events
Who this book is for.
Language | English |
Author | Shekhar Varshney |
Year | 2016 |
Number of pages | 281 |
Book cover | Paperback |
Item number | 7404037 |
Publisher | Springer |
Category | Reference books |
Release date | 20.1.2018 |
Language | English |
Author | Shekhar Varshney |
Year | 2016 |
Number of pages | 281 |
Book cover | Paperback |
CO₂ emissions | 0.5 kg |
Climate contribution | CHF 0.11 |
Compare products
Goes with
Reviews & Ratings
Warranty score
How often does a product of this brand in the «Reference books» category have a defect within the first 24 months?
Source: Digitec Galaxus- 1.Rheinwerk0 %
- 1.S.Fischer0 %
- 1.Springer0 %
- 1.Stämpfli0 %
- 1.Ullstein0 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- SpringerNot enough data
- An der RuhrNot enough data
- AnacondaNot enough data
- AristonNot enough data
- Avery Publishing GroupNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Reference books» category returned?
Source: Digitec Galaxus- 58.Penguin Random House1.1 %
- 58.Piper1.1 %
- 58.Springer1.1 %
- 61.An der Ruhr1.2 %
- 61.Don Bosco1.2 %