Python for Finance Cookbook – Second Edition: Over 80 powerful recipes for effective financial data analysis , Second Edition

Eryk Lewinson

Can$63.99

4.9 (37 Ratings)

Paperback Dec 2022 740 pages 2nd Edition

eBook

Can$12.99 ~~Can$50.99~~

Eryk Lewinson

Can$63.99

4.9 (37 Ratings)

Paperback Dec 2022 740 pages 2nd Edition

eBook

Can$12.99 ~~Can$50.99~~

Can$12.99 ~~Can$50.99~~

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

View table of contents

Preview Book

Python for Finance Cookbook – Second Edition

Getting data from CoinGecko

The last data source we cover is dedicated purely to cryptocurrencies. CoinGecko is a popular data vendor and crypto tracking website, on which you can find real-time exchange rates, historical data, information about exchanges, upcoming events, trading volumes, and much more.

We can list a few of the advantages of CoinGecko:

completely free, no need to register for an API key
aside from prices, they also provide updates and news about crypto
it covers many coins, not only the most popular ones

In this recipe, we download Bitcoin's OHLC from the last 14 days.

How to do it…

Execute the following steps to download data from CoinGecko.

Import the libraries:

from pycoingecko import CoinGeckoAPI
from datetime import datetime

Instantiate the CoinGecko API:

cg = CoinGeckoAPI()

Get Bitcoin's OHLC prices from the last 14 days:

ohlc = cg.get_coin_ohlc_by_id(id="bitcoin", vs_currency="usd", days="14")
ohlc_df...

Converting currencies

Another quite common preprocessing step you might encounter while working on financial tasks is converting currencies. Imagine you have a portfolio of multiple assets, priced in different currencies and you would like to arrive at a total portfolio’s worth. The simplest example might be American and European stocks.

In this recipe, we show how to easily convert stock prices from USD to EUR. However, the very same steps can be used to convert any pair of currencies.

How to do it…

Execute the following steps to convert stock prices from USD to EUR:

Import the libraries:

import pandas as pd
import yfinance as yf
from forex_python.converter import CurrencyRates

Download Apple’s OHLC prices from January 2020:

df = yf.download("AAPL",
                 start="2020-01-01",
                 end="2020-01-31",
                 progress=False)
df = df.drop(columns=[&quot...

Download Code

Key benefits

Explore unique recipes for financial data processing and analysis with Python
Apply classical and machine learning approaches to financial time series analysis
Calculate various technical analysis indicators and backtest trading strategies

Description

Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions. You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses. Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.

Who is this book for?

This book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You’ll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems. Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.

What you will learn

Preprocess, analyze, and visualize financial data
Explore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models
Uncover advanced time series forecasting algorithms such as Meta's Prophet
Use Monte Carlo simulations for derivatives valuation and risk assessment
Explore volatility modeling using univariate and multivariate GARCH models
Investigate various approaches to asset allocation
Learn how to approach ML-projects using an example of default prediction
Explore modern deep learning models such as Google's TabNet, Amazon's DeepAR and NeuralProphet

Estimated delivery fee Deliver to Canada

Economy delivery 10 - 13 business days

Can$24.95

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Machine Learning for Algorithmic Trading

Can$73.99

Can$63.99

Modern Time Series Forecasting with Python

Can$66.99

Total Can$ 204.97

FAQs

What is the delivery time and cost of print book?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy?

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged?

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
Visa Credit
MasterCard
PayPal

What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

Filter reviews by

All

Packt verified reviews

Feefo verified reviews

Amazon verified reviews

bin Sep 11, 2023

This book is very comprehensive, with useful knowledge points. It is really a highly recommended book!

Subscriber review

Rubens C. Machado Jun 07, 2024

Feefo Verified review

David Zhang May 01, 2023

Die 2. Version ist nochmal viel kompakter als die erste von vor 3 Jahren. Grundlegende als auch tiefgreifende Prozesse der Statistik und Programmierung werden gut erklärt dargestellt. Die fast 800 Seiten des Buches decken theoretisch mehr als nur einen ganzen Semester ab.

Amazon Verified review

Ram Seshadri Feb 08, 2023

I was recently given the Python for Finance cookbook to review by Packt based on my experience with Finance and ML. I have to say that this is one hell of a book!! It is one of the most comprehensive and sweeping write-ups of Python in Finance I have read. Just for starters: it’s 720 pages long.Second, it has over 15 chapters covering everything from downloading and processing Time series data to EDA to modeling and finally explaining and evaluating results.The book provides over 80 recipes for everything from ARIMA to Garch to ML to Monte Carlo. The subjects range from derivatives evaluation to asset management and Bitcoin forecasting.The book has tons and tons of code. Every page is filled with step by step instructions with code and charts and graphs. I can go and on. If there is only one book that you plan to buy for learning to apply Python to financial problems, this is probably the book to buy. Highly recommended!

Asha Jan 19, 2023

Having just started as a Junior Data Scientist this book was really helpful for time series analysis and forecasting. It's not for beginners you need to have some basic understanding of Python and data analysis to get the most out of this book. I don't work in the Finance industry but it was nice to learn more about financial data.

Python for Finance Cookbook – Second Edition: Over 80 powerful recipes for effective financial data analysis , Second Edition

What do you get with Print?

Python for Finance Cookbook – Second Edition

Getting data from CoinGecko

How to do it…

Summary

Adjusting the returns for inflation

How to do it…

Changing the frequency of time series data

Different ways of imputing missing data

Converting currencies

How to do it…

Different ways of aggregating trade data

Summary

Page 1 of 8

Key benefits

Description

Who is this book for?

What you will learn

Product Details

What do you get with Print?

Product Details

Frequently bought together

Table of Contents

Recommendations for you

Customer reviews

Filter reviews by

People who bought this also bought

About the author

FAQs

Python for Finance Cookbook – Second Edition: Over 80 powerful recipes for effective financial data analysis , Second Edition

What do you get with Print?

Contact Details

Shipping Address

Billing Address

Key benefits

Description

Who is this book for?

What you will learn

Product Details

What do you get with Print?

Contact Details

Shipping Address

Billing Address

Product Details

Packt Subscriptions

Frequently bought together

Table of Contents

Recommendations for you

Customer reviews

Filter reviews by

People who bought this also bought

About the author

FAQs