Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
genuine image
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading.
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
Numéro d'article: 44731486

Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading

87% des répondants recommanderaient ceci à un ami

Numéro d'article: 44731486

XOF 96182

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

*Tous les articles seront importés depuis États-Unis

En stock
États-Unis Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Samedi, Septembre 12
Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading.
Garantie U-Care :
Aucun
Sélectionnez un forfait
fast shipping

Livraison
rapide

free return

Retour
gratuit*

Emballage sécurisé

Emballage sécurisé

Produits 100 % originaux

Produits 100 % originaux

pci-dss

Conformité PCI DSS

iso certified

Certifié ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.

Ce qui se démarque

Data Science Integration
Merges data science techniques with finance, providing robust methodologies to detect regime changes efficiently, thereby enhancing decision-making in volatile markets.
Machine Learning Application
Utilizes advanced machine learning algorithms to analyze complex datasets, offering predictive insights that outperform traditional analytical methods in trading strategies.
Algorithmic Trading Focus
Focuses on algorithmic trading solutions that adapt in real-time to market fluctuations, ensuring traders can capitalize on emerging trends quickly and effectively.

Détails du produit

Explore cutting-edge techniques in computational finance. Learn about regime change detection & algorithmic trading. Buy now at Ubuy Burkina Faso!
  • Presents a new data-driven approach to financial data analysis called Directional Change
  • Applies machine learning to financial market monitoring and algorithmic trading
  • Utilizes Directional Change to summarize price changes in the market in a unique way
  • Explores topics such as data science, machine learning for regime change detection, regime characterisation, market monitoring, and algorithmic trading
  • Of interest to researchers in computational finance, machine learning, and data science
  • Authors include Jun Chen, who received a PhD in computational finance, and Edward P K Tsang, an Emeritus Professor and co-founder of the Centre for Computational Finance and Economic Agents
Publisher Chapman and Hall/CRC
Publication date September 15, 2020
Edition 1st
Language English
Print length 164 pages
ISBN-10 0367536285
ISBN-13 978-0367536282
Item Weight 1 pounds (450 grams)
Dimensions 6.31 x 0.64 x 9.38 inches (16 x 1.6 x 23.8 cm)

À qui est-ce destiné ?

Suitable For
  • Data Scientists

    Ideal for professionals looking to apply machine learning techniques within financial datasets for regime change detection.

  • Traders

    Beneficial for traders seeking to enhance their algorithmic trading strategies using insights from regime change analytics.

  • Finance Researchers

    Great for researchers focused on academic studies related to computational finance and quantitative analysis methodologies.

Not Suitable For
  • Beginners in Finance

    Not suitable for novices without foundational knowledge of finance, data science, or computational techniques.

DESCRIPTION DU PRODUIT

Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is the primary focus of 'Detecting Regime Change in Computational Finance'?

    répondre: The book primarily focuses on the methodologies used to detect changes in financial markets' regimes through data science, machine learning, and algorithmic trading techniques. It delves into how these tools can identify patterns, trends, and anomalies in vast datasets, allowing traders and financial analysts to make informed decisions. For instance, understanding regime changes can help in adjusting trading strategies to optimize performance based on market behavior.
  • question: Who is the target audience for this book?

    répondre: The book is targeted at financial analysts, data scientists, academicians, and traders seeking to deepen their understanding of market dynamics influenced by regime changes. Whether you're a professional in the finance industry or a student of economics, this resource offers valuable insights. Practitioners can apply the techniques described in real-world trading scenarios, enhancing their decision-making skills and market analysis capabilities.
  • question: What techniques are covered in this book for regime change detection?

    répondre: The book covers a range of techniques, including statistical methods, machine learning algorithms, and algorithmic trading strategies that focus on regime change detection. Readers will learn to implement these techniques using real financial data sets and understand how to interpret results effectively. For example, you might use machine learning classifiers to predict shifts in market behavior, helping to mitigate risks and enhance trading performance.
  • question: Can beginners in data science and finance benefit from this book?

    répondre: Yes, beginners can certainly benefit from this book, as it explains complex concepts in an accessible manner. It introduces foundational ideas before moving on to more advanced techniques, making it a good starting point for those new to the fields of data science and computational finance. A novice may find practical use in applying these concepts to their studies or entry-level trading roles.
  • question: Does the book provide practical examples of algorithmic trading?

    répondre: Absolutely, the book is replete with practical examples of algorithmic trading applications that utilize regime change detection methods. Each chapter typically includes case studies and real-world applications that facilitate understanding. For instance, a reader may learn how to develop an algorithm that adjusts trading positions based on identified regime shifts, leading to potentially improved trading outcomes.
  • question: How does machine learning enhance regime change detection in finance?

    répondre: Machine learning enhances regime change detection by utilizing algorithms that can process and analyze vast amounts of data far beyond human capability. This allows for more accurate identification of market patterns and quicker adjustments to trading strategies. A trader can employ machine learning models to forecast market shifts, gaining a competitive edge in a fast-paced financial environment.
  • question: What are the advantages of using data science in financial market analysis?

    répondre: Data science offers extensive analytical capabilities, enabling deeper insights into market behavior and better predictive models for future trends. It also allows for automated data processing and visualization techniques that facilitate real-time analysis. In practical terms, this means that traders can make more informed decisions based on comprehensive data analyses, potentially leading to increased profitability.
  • question: Is statistical knowledge necessary to understand the content of this book?

    répondre: While a basic understanding of statistics can enhance comprehension, the book strives to explain concepts in a clear and user-friendly manner, catering to diverse skill levels. Those without a strong statistical background can still grasp essential ideas and apply practical techniques. For instance, a trader with limited statistical knowledge can still implement the algorithms discussed and leverage them for making informed decisions in live trading scenarios.
  • question: What methodologies are essential for detecting market regime changes?

    répondre: Key methodologies for detecting market regime changes include time-series analysis, clustering techniques, and predictive modeling. These methods help analyze historical data to identify shifts in market conditions. For instance, utilizing clustering techniques, a trader might classify various market conditions and prepare strategies compatible with each regime, enhancing their trading adaptability.
  • question: Where can I buy 'Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading 1st Edition'?

    répondre: You can purchase 'Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading 1st Edition' from Ubuy in Burkina Faso. Ubuy offers a reliable platform to acquire this insightful resource, making it accessible to those keen to enhance their understanding of regime changes in financial markets.

Financial Engineering Editorial Review

The book under review is one-of-a-kind in terms of the subject matter it deals with – the use of hidden Markov models in algorithmic trading. The book is written in a very readable and friendly style, and it is a sure hand-holder for those who are not comfortable with maths. However, some reviewers have shared their disappointment with the lack of depth in the book concerning certain aspects of trading, and that some concepts could be replaced by simpler trend indicators. Nonetheless, the book's discussion around hidden Markov models in algorithmic trading is relatively unique, which alone can make it a worthwhile read. As with any book in this field, the inclusion of the source code is essential for replicating the experiments, and some reviewers have thus requested access to the R code used in the book.

Avis et évaluations clients

1 évaluations des clients
  • 5 étoile
    100%
  • 4 étoile
    0%
  • 3 étoile
    0%
  • 2 étoile
    0%
  • 1 étoile
    0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

Avantages

  • Unique topic not commonly covered in other trading books
  • Easy to read and understand for those not comfortable with maths

Les inconvénients

  • Lack of depth in some areas

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

trustpilot logo
4.2/5 9300 + commentaires
Lire les avis
JG
Jazz
Acheteur vérifié

“Easy to use and always helpful and sorts any issues I've had past and present”

1 September 2026 · via Trustpilot
EK
Emmanuel
Acheteur vérifié

“I always receive support when I engage customer service. Overall my experience with UBUY has been top notch. Keep up the good work.”

31 August 2026 · via Trustpilot
F
fnd
Acheteur vérifié

“The delivery was fast and the product came undamaged and authentic.”

29 August 2026 · via Trustpilot
LC
Leana
Acheteur vérifié

“Ubuy is extremely efficient and to order online is an easy process. The verity of products to buy is really unlimited! My order was urgent and I got it on time. The products are great! Thank you Ubuy!”

25 August 2026 · via Trustpilot
HL
Hengo
Acheteur vérifié

“Fast, convenient and cheap. Great store!”

27 August 2026 · via Trustpilot
Paiement sécurisé Global Delivery Retours faciles Genuine Products

Historique des prix du produit

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

XOF 96182

Commandez maintenant et recevez votre commande aux alentours du Samedi, Septembre 12

QTY:

Transaction sécuriséeTransaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Livraison transfrontalière la plus rapide

Caractéristiques et avantages

  • New data-driven approach to financial data analysis
  • Applies machine learning to financial market monitoring and algorithmic trading
  • Discovers historical regime changes with Hidden Markov Model
  • One can monitor the market to detect whether the market regime has changed
  • Regime tracking information can design trading algorithms

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.