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You're reading from  Practical Machine Learning Cookbook

Product typeBook
Published inApr 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781785280511
Edition1st Edition
Languages
Python
Tools
Apache Spark
Concepts
Machine Learning
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Author (1)
Atul Tripathi
Atul Tripathi
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Atul Tripathi

Atul Tripathi has spent more than 11 years in the fields of machine learning and quantitative finance. He has a total of 14 years of experience in software development and research. He has worked on advanced machine learning techniques, such as neural networks and Markov models. While working on these techniques, he has solved problems related to image processing, telecommunications, human speech recognition, and natural language processing. He has also developed tools for text mining using neural networks. In the field of quantitative finance, he has developed models for Value at Risk, Extreme Value Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation techniques.
Read more about Atul Tripathi

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Random forest - currency trading strategy

The goal of forecasting future price trends for forex markets can be scientifically achieved after carrying out technical analysis. Forex traders develop strategies based on multiple technical analyses such as market trend, volume, range, support and resistance levels, chart patterns and indicators, as well as conducting a multiple time frame analysis using different time-frame charts. Based on statistics of past market action, such as past prices and past volume, a technical analysis strategy is created for evaluating the assets. The main goal for analysis is not to measure an asset's underlying value but to calculate future performance of markets indicated by the historical performance.

Getting ready

In order to perform random forest, we will be using a dataset collected from the US Dollar and GB Pound dataset.

Step 1 - collecting and describing the data

The dataset titled PoundDollar.csv will be used. The dataset is in standard format. There are 5...

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Practical Machine Learning Cookbook
Published in: Apr 2017Publisher: PacktISBN-13: 9781785280511
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Atul Tripathi

Atul Tripathi has spent more than 11 years in the fields of machine learning and quantitative finance. He has a total of 14 years of experience in software development and research. He has worked on advanced machine learning techniques, such as neural networks and Markov models. While working on these techniques, he has solved problems related to image processing, telecommunications, human speech recognition, and natural language processing. He has also developed tools for text mining using neural networks. In the field of quantitative finance, he has developed models for Value at Risk, Extreme Value Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation techniques.
Read more about Atul Tripathi

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