Coursera
  • OnlineabschlussBachelor- und Master-Abschlüsse erkunden
  • MasterTrack™Verdienen Sie sich Credit-Punkte für einen Master-Abschluss
  • UniversitätszertifikateTreiben Sie Ihre Karriere mit Kursen auf Hochschulniveau voran
Finden Sie JobsFür UnternehmenFür Universitäten
  • Blättern
  • Beliebte Kurse
  • Anmelden
  • Kostenlose Teilnahme
    Coursera
    • Blättern
    • Algorithmic Trading

    Filtern nach

    33 Ergebnisse für „algorithmic trading“

    • Placeholder
      EDHEC Business School

      Investment Management with Python and Machine Learning

      Kompetenzen, die Sie erwerben: Accounting, Applied Machine Learning, Business Analysis, Computer Programming, Data Analysis, Data Mining, Finance, Financial Analysis, Investment, Investment Management, Leadership and Management, Machine Learning, Machine Learning Algorithms, Markov Model, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Risk, Risk Management, Statistical Analysis, Statistical Programming

      4.6

      (1.5k Bewertungen)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Indian School of Business

      Trading Strategies in Emerging Markets

      Kompetenzen, die Sie erwerben: Accounting, Accounts Payable and Receivable, Algorithms, Analysis, Audit, Business Analysis, Data Analysis, Design and Product, Entrepreneurship, Finance, Financial Accounting, Financial Analysis, Investment Management, Leadership and Management, Market (Economics), Market Analysis, Market Research, Marketing, Planning, Research and Design, Risk, Risk Management, Sales, Securities Trading, Stock, Strategy, Strategy and Operations, Supply Chain and Logistics, Theoretical Computer Science, Trading

      4.2

      (2.4k Bewertungen)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      New York University

      Machine Learning and Reinforcement Learning in Finance

      Kompetenzen, die Sie erwerben: Accounting, Algorithms, Applied Machine Learning, Applied Mathematics, Artificial Neural Networks, Business Analysis, Calculus, Computer Programming, Data Analysis, Deep Learning, Entrepreneurship, Finance, Financial Analysis, General Statistics, Investment Management, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Python Programming, Reinforcement Learning, Tensorflow, Theoretical Computer Science

      3.7

      (747 Bewertungen)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      New York Institute of Finance

      Machine Learning for Trading

      Kompetenzen, die Sie erwerben: Artificial Neural Networks, Business Psychology, Cloud Computing, Cloud Platforms, Computer Programming, Entrepreneurship, Finance, General Statistics, Investment Management, Leadership and Management, Machine Learning, Marketing, Mathematics, Modeling, Probability & Statistics, Python Programming, Reinforcement Learning, Risk Management, Sales, Statistical Programming, Strategy, Strategy and Operations, Trading

      3.9

      (948 Bewertungen)

      Intermediate · Specialization · 1-3 Months

    • Placeholder
      IIT Roorkee

      Post Graduate Certificate in Machine Learning for Finance

      University Certificate · 6-12 Months

    • Placeholder
      Indian School of Business

      Trading Algorithms

      Kompetenzen, die Sie erwerben: Business Analysis, Marketing, Strategy and Operations, Data Analysis, Trading, Investment Management, Market Analysis, Strategy, Finance, Entrepreneurship, Accounting, Financial Analysis, Sales, Leadership and Management

      4.6

      (1k Bewertungen)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Placeholder
      New York University

      Fundamentals of Machine Learning in Finance

      3.8

      (309 Bewertungen)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Placeholder
      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Kompetenzen, die Sie erwerben: Entrepreneurship, Mathematics, Probability & Statistics, Calculus, Investment Management, Finance, General Statistics, Applied Mathematics

      3.8

      (76 Bewertungen)

      Advanced · Course · 1-4 Weeks

    • Placeholder

      Kostenlos

      Placeholder
      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Kompetenzen, die Sie erwerben: Accounting, Financial Data Analysis, Statistical Analysis, Statistical Programming, General Statistics, Probability & Statistics, Business Analysis, Data Analysis, Financial Analysis, Finance, Python Programming, Computer Programming, Statistical Tests, Analysis, Probability Distribution

      4.4

      (3.3k Bewertungen)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Placeholder
      University of California, Irvine

      Blockchain

      Kompetenzen, die Sie erwerben: Algorithms, BlockChain, Computational Logic, Computer Architecture, Computer Networking, Cryptography, Distributed Computing Architecture, FinTech, Finance, Hardware Design, Mathematical Theory & Analysis, Mathematics, Network Security, Operating Systems, Security Engineering, Software Security, System Security, Theoretical Computer Science

      4.1

      (162 Bewertungen)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      Columbia University

      Financial Engineering and Risk Management

      Kompetenzen, die Sie erwerben: Accounting, Algebra, Applied Mathematics, Audit, BlockChain, Calculus, Communication, Euler'S Totient Function, FinTech, Finance, General Statistics, Investment Management, Linear Algebra, Machine Learning, Markov Model, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Probability Distribution, Risk, Risk Management

      4.4

      (82 Bewertungen)

      Intermediate · Specialization · 3-6 Months

    • Placeholder

      Kostenlos

      Placeholder
      Stanford University

      Game Theory

      Kompetenzen, die Sie erwerben: Sales, Entrepreneurship, Strategy and Operations, Bayesian, Marketing, Mathematics, Strategy, Research and Design, Probability & Statistics, Game Theory, Leadership and Management

      4.6

      (4.1k Bewertungen)

      Beginner · Course · 1-3 Months

    Suchanfragen mit Bezug zu algorithmic trading

    trading algorithms
    advanced trading algorithms
    123

    Zusammenfassend sind hier 10 unserer beliebtesten algorithmic trading Kurse

    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Trading Strategies in Emerging Markets: Indian School of Business
    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Machine Learning for Trading: New York Institute of Finance
    • Post Graduate Certificate in Machine Learning for Finance: IIT Roorkee
    • Trading Algorithms: Indian School of Business
    • Fundamentals of Machine Learning in Finance: New York University
    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Blockchain: University of California, Irvine

    Fähigkeiten, die Sie bei Design And Product erlernen können

    User Interface (18)
    Benutzererlebnis (16)
    Software-Tests (13)
    Spieldesign (11)
    Agile Software-Entwicklung (10)
    Grafiken (10)
    Virtual Reality (9)
    Design Thinking (8)
    Web (8)
    Videospielentwicklung (7)
    Webdesign (7)
    Adobe Photoshop (6)

    Häufig gestellte Fragen zum Thema Algorithmic Trading

    • Algorithmic trading, also known as automated trading or “algo trading,” is the use of computers and high-speed internet connections to execute large volumes of trading in financial markets much faster than would be possible for human traders. “Algos” leverage machine learning algorithms, typically created using reinforcement learning techniques in Python, to build high-frequency trading strategies that can make orders based on electronically-received information on variables like time, share price, and volume.

      Understanding algorithmic trading is critically important to understanding financial markets today. It is estimated that algorithms are responsible for 80% of trading on U.S. stock markets, and it is widely used by investment banks, hedge funds, and other institutional investors. There are debates over the impacts of this rapid change in the market; some argue that it has benefitted traders by increasing liquidity, while others fear the speed of trading has created more volatility.

      However, there is no question that algo trading is here to stay, and day traders as well as finance professionals need to understand how they work at a minimum - and, ideally, be able to make use of these powerful tools themselves.‎

    • Because of their ubiquity in today’s financial markets, a baseline familiarity with algorithmic trading is increasingly essential for careers as a trader, analyst, portfolio manager, or other finance jobs. These highly-paid professionals may work at institutions such as banks, asset management firms, and hedge funds, and they are increasingly adding courses in algorithms, machine learning, and other related areas to their education in order to understand this critical topic.

      Career opportunities in this field are also attracting professionals with high-level computer science skills, who have gained nearly as high of a profile in the finance industry as algorithmic trading itself. Quantitative analysts, or “quants,” are highly prized for their ability to apply their programming skills to massive datasets, statistics, and other high-velocity market inputs to create the mathematical models required for algorithmic trading and other financial engineering techniques.

      In a sense, then, algorithmic trading is where finance and programming meet, giving professionals with the ability to span these worlds the opportunity to create enormous value for their firms.‎

    • Absolutely. Coursera offers a wealth of courses and Specializations about relevant topics in both finance and computer science, including opportunities to learn specifically about algorithmic trading. These courses are offered by top-ranked schools from around the world such as New York University and the Indian School of Business, as well as leading companies like Google Cloud.

      In addition to being able to access a high-quality education remotely from anywhere in the world, learning online through Coursera offers other advantages. The ability to virtually attend lectures and complete coursework on a flexible schedule makes online courses ideal for working professionals in finance or computer programming that want to add algorithmic trading to their skillset. And the lower cost of online courses compared to on-campus alternatives means that this high-value education can be surprisingly affordable.‎

    • The skills and experience that you might need to already have before starting to learn algorithmic trading are generally financial in nature, covering areas like programming skills, knowledge of trading and financial markets, and a solid understanding of financial modeling and quantitative analysis. These are deep subjects that would involve having a fundamental basis of mathematics concepts, data science, and programming capabilities. You might also learn more about algorithmic trading in other ways, from studying online webinars, taking online courses, reading informative blogs, or watching video content. Conversely, you might also attend college to gain a degree in mathematics, computer science, or statistical analysis. Having a good education would be a good benefit before starting to learn algorithmic trading.‎

    • The kind of people that are best suited for work that involves algorithmic trading are people who are comfortable working with numbers, data, computer algorithms, and financial concepts. People working in algorithmic trading are known as ‘quants’, short for quantitative analysts, or financial quantitative analysts. A person who works as a quant uses knowledge, skills, and experience to help financial organizations generate profits while reducing risk. These quants must be able to analyze data, develop statistical scenarios, and implement complex mathematical models for banks, hedge funds, and investment firms to make smart decisions about pricing structures, investments, and risk management opportunities.‎

    • You might know if learning algorithmic trading is right for you if you have a sharp mind that can scan and analyze numbers in math, data, and financial areas quickly and decisively. You would most likely love aspects of technology and finance, working with programming languages, scrutinizing data, crunching numbers, and having a good grasp of principles with ratios and percentages. If you want to learn if algorithmic trading is right for you, then you might want to take online courses in statistical modeling, quantitative analyses, financial trading, computer programming and related areas to gauge your interest and capability for this subject.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
    Andere wissenswerte Themen
    Placeholder
    Kunst und Geisteswissenschaften
    338 Kurse
    Placeholder
    Wirtschaft
    1095 Kurse
    Placeholder
    Informatik
    668 Kurse
    Placeholder
    Datenverarbeitung
    425 Kurse
    Placeholder
    Informationstechnologie
    145 Kurse
    Placeholder
    Gesundheit
    471 Kurse
    Placeholder
    Mathematik und Logik
    70 Kurse
    Placeholder
    Persönliche Entwicklung
    137 Kurse
    Placeholder
    Physik und Ingenieurwesen
    413 Kurse
    Placeholder
    Sozialwissenschaften
    401 Kurse
    Placeholder
    Sprachen lernen
    150 Kurse

    Coursera Footer

    Starten oder fördern Sie Ihre Karriere

    • Google Data Analyst
    • Google-Projektmanagement
    • Google-UX-Design
    • Google IT-Support
    • IBM Datenverarbeitung
    • IBM Data Analyst
    • IBM-Datenanalyse mit Excel und R
    • IBM Cybersecurity Analyst
    • IBM Data Engineering
    • IBM Full Stack-Cloudentwickler
    • Facebook Social Media Marketing
    • Facebook Marketinganalyse
    • Salesforce Sales Development Representative
    • Sales Operations in Salesforce
    • Buchhaltung mit Intuit
    • Vorbereitung auf die Google Cloud-Zertifizierung: Cloud Architect
    • Vorbereitung auf die Google Cloud-Zertifizierung: Cloud Data Engineer
    • Eine Karriere starten
    • Auf eine Zertifizierung vorbereiten
    • Bringen Sie Ihre Karriere voran

    Beliebte Themen durchsuchen

    • Kostenlose Kurse
    • Lernen Sie eine Sprache
    • Python
    • Java
    • Webdesign
    • SQL
    • Gratiskurse
    • Microsoft Excel
    • Projektmanagement
    • Cybersicherheit
    • Personalwesen
    • Kostenlose Kurse in Datenverarbeitung
    • Englisch sprechen
    • Inhalte verfassen
    • Full-Stack-Webentwicklung
    • Künstliche Intelligenz
    • C-Programmierung
    • Kommunikationsfähigkeiten
    • Blockchain
    • Alle Kurse anzeigen

    Beliebte Kurse und Artikel

    • Kompetenzen für Datenwissenschaftsteams
    • Datengestützte Entscheidungsfindung
    • Kompetenzen im Bereich Software Engineering
    • Soft Skills für Ingenieurteams
    • Management-Kompetenzen
    • Marketing-Kompetenzen
    • Kompetenzen für Vertriebsteams
    • Produktmanager-Kompetenzen
    • Kompetenzen im Bereich Finanzen
    • Beliebte Kurse in Datenverarbeitung im Vereinigten Königreich
    • Beliebte Technologiekurse in Deutschland
    • Beliebte Zertifizierungen für Cybersicherheit
    • Beliebte IT-Zertifizierungen
    • Beliebte SQL-Zertifizierungen
    • Karriereleitfaden für Marketing-Manager
    • Karriereleitfaden für Projektmanager
    • Python-Programmierkenntnisse
    • Karriereleitfaden für Webentwickler
    • Datenanalysefähigkeiten
    • Kompetenzen für UX-Designer

    Abschluss oder Zertifikat online erwerben

    • MasterTrack® Certificates
    • Zertifikate über berufliche Qualifikation
    • Universitätszertifikate
    • MBA- und Business-Abschlüsse
    • Abschlüsse in Data Science
    • Abschlüsse in Informatik
    • Abschlüsse in Datenanalyse
    • Abschlüsse im Gesundheitswesen
    • Abschlüsse in Sozialwissenschaften
    • Management-Abschlüsse
    • Abschlüsse von europäischen Spitzenuniversitäten
    • Masterabschlüsse
    • Bachelorabschlüsse
    • Studiengänge mit Performance Pathway
    • BSc-Kurse
    • Was ist ein Bachelorabschluss?
    • Wie lange dauert ein Masterstudium?
    • Lohnt sich ein Online-MBA?
    • 7 Finanzierungsmöglichkeiten für die Graduate School
    • Alle Zertifikate anzeigen

    Coursera

    • Info
    • Was wir anbieten
    • Leitung
    • Jobs
    • Katalog
    • Coursera Plus
    • Zertifikate über berufliche Qualifikation
    • MasterTrack® Certificates
    • Abschlüsse
    • Für Unternehmen
    • Für Regierungen
    • Für Campus
    • Werden Sie Partner
    • Reaktion auf das Coronavirus

    Community

    • Kursteilnehmer
    • Partner
    • Entwickler
    • Beta-Tester
    • Übersetzer
    • Blog
    • Tech-Blog
    • Lehrzentrum

    Mehr

    • Presse
    • Anleger
    • Nutzungsbedingungen/AGB
    • Datenschutz
    • Hilfe
    • Barrierefreiheit
    • Kontakt
    • Artikel
    • Verzeichnis
    • Partnerunternehmen
    • Stellungnahme zu moderner Sklaverei
    Überall lernen
    Aus dem App Store herunterladenErhältlich bei Google Play
    Placeholder
    © 2022 Coursera Inc. Alle Rechte vorbehalten.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder