Picture 1 of 2


Gallery
Picture 1 of 2


Machine Learning for Algorithmic Trading: Predictive models... by Jansen, Stefan
8M+ feedback. Millions of books, dvds & more in stock!
Β£34.99
RRP Β£37.99
Save Β£3.00 (8% OFF)
Condition:
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the sellerβs listing for full details and description of any imperfections.
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Postage:
Doesn't post to United States.
Located in: GB, United Kingdom
Delivery:
Varies
Returns:
30 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.
Payments:
Get more time to pay. See payment informationfor PayPal Credit - opens in a new window or tab
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:144448075991
Item specifics
- Condition
- Title
- Machine Learning for Algorithmic Trading: Predictive models to...
- Book Title
- Machine Learning for Algorithmic Trading: Predictive models to...
- ISBN
- 1839217715
- EAN
- 9781839217715
- Binding
- Paperback / softback
- Date of Publication
- 2020-07-31
- Release Title
- Machine Learning for Algorithmic Trading: Predictive models to...
- Artist
- Stefan
- Brand
- N/A
- Colour
- N/A
- Publication Year
- 2020
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
- Item Height
- 93 mm
- Publisher
- Packt Publishing
- Subject
- Computer Science
- Item Width
- 75 mm
- Number of Pages
- 820 Pages
About this product
Product Information
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Key Features Design, train, and evaluate machine learning algorithms that underpin automated trading strategies Create a research and strategy development process to apply predictive modeling to trading decisions Leverage NLP and deep learning to extract tradeable signals from market and alternative data Book DescriptionThe explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learn Leverage market, fundamental, and alternative text and image data Research and evaluate alpha factors using statistics, Alphalens, and SHAP values Implement machine learning techniques to solve investment and trading problems Backtest and evaluate trading strategies based on machine learning using Zipline and Backtrader Optimize portfolio risk and performance analysis using pandas, NumPy, and pyfolio Create a pairs trading strategy based on cointegration for US equities and ETFs Train a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes data Who this book is forIf you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
Product Identifiers
Publisher
Packt Publishing
ISBN-13
9781839217715
eBay Product ID (ePID)
27046540245
Product Key Features
Publication Year
2020
Subject
Computer Science
Number of Pages
820 Pages
Language
English
Publication Name
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
Type
Textbook
Format
Paperback
Dimensions
Item Height
93 mm
Item Width
75 mm
Additional Product Features
Country/Region of Manufacture
United Kingdom
Item description from the seller
Seller business information
VAT number: DE 281042328, EL 996857788, ES N8267548I, FR 27823676960, GB 922696893, IT 00185819992
CRN: 06437594
About this seller
World of Books Ltd
98.4% positive Feedbackβ’38.2M items sold
Registered as a business seller
Seller Feedback (13,716,203)
- h***i (37)- Feedback left by buyer.Past 6 monthsVerified purchaseThe seller kindly got in touch to say the book I ordered did not meet the quality advertised due to being found to be in a poor condition at the packing stage. Unfortuntely no replacement was available and would I like to pick a book of equivalent value from the marketplace - which I did. That book arrived safely and was in the condition advertised. I have used this seller many times before and I am grateful for their quality control decission, rather than send me a damaged book. Will use again.
- n***o (607)- Feedback left by buyer.Past 6 monthsVerified purchaseI recently purchased this item on eBay and am extremely happy with it! The quality and condition exceeded my expectations and arrived exactly as described in the listing. The book was good value The shipping was fast, and the packaging ensured that it arrived in perfect condition. The seller was communicative and provided excellent service throughout the process. Overall, a fantastic buying experience, and I highly recommend both the item and the seller to anyone looking for a reliable purchase!
- e***- (402)- Feedback left by buyer.Past monthVerified purchaseIt's been a very positive experience buying from this seller who I have bought from many times before and will do again. The DVD is exactly as described and is in very good condition. It was very reasonably priced and was securely packaged and delivered super fast. I really recommend this seller. Communication is excellent if needed, very prompt, helpful and friendly. A top notch seller who always gives their best. 5π all round π
More to explore:
- Stefan Zweig Antiquarian & Collectable Books,
- Look and Learn Magazines,
- Look and Learn Weekly Magazines,
- Look and Learn August Magazines,
- April Look and Learn Magazines,
- Look and Learn Magazines in English,
- May Look and Learn Magazines,
- Adult Learning & University Books,
- English Adult Learning and University Book,
- Adult Learning and University Technology Book