Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python - Image 1

£39.19

O'Reilly Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python

Name: Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Brand: O'Reilly
Price: 39.19 GBP
Availability: InStock

Futures

This is the most expensive it has ever been. Walk away.

£39 today · previous high £39 · all-time low £39

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 39 days • 39 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 39 days • 1 price levels

Days at Price

Price Analysis

Most common price: £39 (39 days, 100.0%)

Price range: £39 - £39

Price levels: 1 different prices over 39 days

Description

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential

Key Features

New Store Stock

Product Specifications

Brand: O'Reilly
Format: Paperback
ASIN: 1098148398
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Investments & Securities > Futures
Domain: Amazon UK
Release Date: 31 January 2024
Listed Since: 05 October 2023

Barcode

No barcode data available

O'Reilly Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Artificial Intelligence in Finance: A Python-Based Guide

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

Machine Learning in Finance: From Theory to Practice

Machine Learning in Finance: From Theory to Practice

Reinforcement Learning for Finance: A Python-Based Introduction

Introduction To Machine Learning In Quantitative Finance, An: 0 (Advanced Textbooks In Mathematics)

Cambridge Deep Learning in Quantitative Trading Book

Day Trade With AI: Theoretical foundations for discretionary, algorithmic, and diversified trading with AI

Python for Algorithmic Trading: From Idea to Cloud Deployment

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

Machine Learning for Algorithmic Trading - Second Edition: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices

Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Foundations of Reinforcement Learning with Applications in Finance (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)

Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python

The Backtesting Masterclass: Build, Validate, and Optimize with Python: Ideas are cheap. Verified performance is priceless.

Machine Learning and Big Data with kdb+/q (Wiley Finance)

Deep Learning Tools for Predicting Stock Market Movements

Data Analytics for Finance Using Python (Advances in Digital Technologies for Smart Applications)

Quant_Py: Python for Quantitative Finance

Machine Learning in the Analysis and Forecasting of Financial Time Series

Proceedings of the First International Forum on Financial Mathematics and Financial Technology