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    • Trading

    필터링 기준

    "trading"에 대한 442개의 결과

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      Interactive Brokers

      Practical Guide to Trading

      획득할 기술: Finance, Investment Management, Accounting, Business Analysis, Data Analysis, Financial Analysis, Probability & Statistics, Financial Accounting, Financial Management, Leadership and Management, Taxes, General Accounting, Marketing, Regulations and Compliance

      4.4

      (366개의 검토)

      Beginner · Specialization · 3-6 Months

    • 무료

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      Yale University

      Financial Markets

      획득할 기술: Finance, Banking, Investment Management, Risk Management, Securities Trading, Financial Management, Regulations and Compliance, Securities Sales, Underwriting, Business Psychology, Behavioral Economics, Accounting, Adaptability, Budget Management, Innovation, Media Strategy & Planning, Resilience, Taxes, Business Analysis, Business Process Management, Corporate Accouting, Data Analysis, Entrepreneurship, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Probability & Statistics, Statistical Tests, Strategy and Operations

      4.8

      (24.2k개의 검토)

      Beginner · Course · 1-3 Months

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      Indian School of Business

      Trading Strategies in Emerging Markets

      획득할 기술: Finance, Investment Management, Accounting, Financial Analysis, Business Analysis, Data Analysis, Entrepreneurship, Market Analysis, Market Research, Marketing, Research and Design, Probability & Statistics, Basic Descriptive Statistics, Risk Management, Securities Trading, Banking, Cash Management, Financial Accounting, Financial Management, Forecasting, General Accounting, Generally Accepted Accounting Principles (GAAP), Accounts Payable and Receivable, Algorithms, Audit, Brand Management, Business Psychology, Change Management, Communication, Corporate Accouting, Design and Product, General Statistics, Human Resources, Journalism, Leadership and Management, Operations Research, Planning, Project Management, Sales, Strategy, Strategy and Operations, Supply Chain and Logistics, Theoretical Computer Science, Training, Visual Design, Writing

      4.2

      (2.5k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of London

      Use C++ to build a crypto trading platform I: user input

      획득할 기술: C++ Programming

      Intermediate · Course · 1-4 Weeks

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      Google Cloud

      Machine Learning for Trading

      획득할 기술: Machine Learning, Finance, Leadership and Management, Cloud Computing, Cloud Platforms, Risk Management, Strategy, Applied Machine Learning, Artificial Neural Networks, Entrepreneurship, Investment Management, Marketing, Probability & Statistics, Sales, Securities Trading, Strategy and Operations, Business Psychology, Computer Programming, General Statistics, Mathematics, Python Programming, Reinforcement Learning, Statistical Programming

      3.9

      (1k개의 검토)

      Intermediate · Specialization · 1-3 Months

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      University of Geneva

      Investment Management

      획득할 기술: Finance, Investment Management, Risk Management, Financial Management, Regulations and Compliance, Securities Trading, Banking, Behavioral Economics, Business Psychology, Correlation And Dependence, Data Visualization, Financial Analysis, Market Analysis, Marketing, Plot (Graphics), Probability & Statistics, Accounting, Business Analysis, Data Analysis, Decision Making, Entrepreneurship, Leadership and Management, Performance Management, Strategy and Operations

      4.7

      (7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Indian School of Business

      Trading Basics

      획득할 기술: Finance, Accounting, Securities Trading, Banking, Cash Management, Financial Analysis, Financial Management, General Accounting, Generally Accepted Accounting Principles (GAAP), Investment Management, Accounts Payable and Receivable, Audit, Business Analysis, Data Analysis, Design and Product, Financial Accounting, Leadership and Management, Risk Management

      3.9

      (1.7k개의 검토)

      Beginner · Course · 1-4 Weeks

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      무료

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      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      획득할 기술: Business Analysis, Computer Programming, Data Analysis, Financial Analysis, Python Programming, Statistical Programming, Finance, Investment Management, Probability & Statistics, Probability Distribution, Statistical Analysis, Basic Descriptive Statistics, Correlation And Dependence, General Statistics, Regression, Risk Management, Securities Trading, Statistical Tests, Accounting, Estimation

      4.4

      (3.6k개의 검토)

      Intermediate · Course · 1-4 Weeks

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      Columbia University

      Financial Engineering and Risk Management

      획득할 기술: Finance, Probability & Statistics, Risk Management, Mathematics, General Statistics, Probability Distribution, Investment Management, Accounting, Mathematical Theory & Analysis, Securities Sales, Securities Trading, Audit, Algebra, Calculus, Correlation And Dependence, Linear Algebra, Applied Mathematics, BlockChain, Communication, Computer Programming, Entrepreneurship, FinTech, Leadership and Management, Machine Learning, Markov Model, Product Marketing, Sales, Strategy

      4.5

      (123개의 검토)

      Intermediate · Specialization · 3-6 Months

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      무료

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      Princeton University

      Bitcoin and Cryptocurrency Technologies

      획득할 기술: BlockChain, Computer Programming, Finance, Java Programming

      4.6

      (2.9k개의 검토)

      Mixed · Course · 1-3 Months

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      EDHEC Business School

      Investment Management with Python and Machine Learning

      획득할 기술: Finance, Computer Programming, Investment Management, Python Programming, Statistical Programming, Data Analysis, Machine Learning, Probability & Statistics, Data Analysis Software, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Data Mining, Natural Language Processing, Risk Management, Applied Machine Learning, Regression, Mathematics, Network Analysis, Leadership and Management, Accounting, Business Analysis, Computer Science, Financial Analysis, Statistical Analysis

      4.6

      (1.6k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Building Candlestick Charts with Google Sheets

      획득할 기술: Business Analysis, Corporate Accouting, Finance

      4.3

      (243개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

    trading과(와) 관련된 검색

    trading strategies in emerging markets
    trading basics
    trading strategy
    trading algorithms
    algorithmic trading
    forex trading
    stock trading
    options trading
    1234…37

    요약하자면, 여기에 가장 인기 있는 trading 강좌 10개가 있습니다.

    • Practical Guide to Trading: Interactive Brokers
    • Financial Markets: Yale University
    • Trading Strategies in Emerging Markets: Indian School of Business
    • Use C++ to build a crypto trading platform I: user input: University of London
    • Machine Learning for Trading: Google Cloud
    • Investment Management: University of Geneva
    • Trading Basics: Indian School of Business
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Financial Engineering and Risk Management: Columbia University
    • Bitcoin and Cryptocurrency Technologies: Princeton University

    Finance에서 학습할 수 있는 스킬

    투자 (23)
    시장(경제학) (20)
    주식 (18)
    재무제표 (14)
    재무 회계 (13)
    모델링 (13)
    기업 금융 (11)
    재무 분석 (11)
    평가 (10)
    금융 시장 (10)
    가격 (10)

    거래에 대한 자주 묻는 질문

    • Trading is the process of buying and selling securities in the stock market with the intention of making a short-term profit. Some traders, known as day traders, only hold stocks until the close of the market at the end of each day; others, known as active traders, may hold stocks for weeks. In either case, trading is distinct from investing, which also involves the buying and selling of stocks and bonds but with the intention of making long-term gains over years or decades.

      Trading plays an important function in improving the efficiency of markets, as traders seek out arbitrage opportunities to profit when pricing of a security strays too far from its fair market value. Today, with high-volume, high-speed algorithmic trading by computers making up a majority of activity on the market, some critics have questioned whether so much short-term trading is exacerbating volatility.

      While debate continues, it is clear that this type of financial engineering approach to trading is here to stay, and will continue to push the evolution of this field as it progresses beyond its roots on the floor of the stock exchange.‎

    • Analysts at financial institutions of all kinds must have a strong understanding of trading and financial markets to guide their investment strategies. It’s particularly important for the quantitative analysts, or “quants” responsible for programming financial engineering tools.

      Trading is also an essential part of the work of brokers, who are agents that sell securities and commodities directly to individuals. According to the Bureau of Labor Statistics, brokers make a median pay of $62,270 per year as of 2019. Though they often start with only a bachelor’s degree, many have masters in business administration (MBA) degrees, and they may need to attain additional licenses and certifications depending on the products they represent.‎

    • Yes! Coursera has a wide variety of online courses and Specializations on many trading topics including financial engineering, machine learning, and trading algorithms. These courses are offered by top-ranked schools from around the world such as Yale University, the University of Michigan, and the Indian School of Business.

      In addition to being able to access an exceptional education remotely from anywhere in the world, learning online through Coursera offers many other advantages. You will be able to virtually attend lectures and complete coursework on a flexible schedule that fits your work or home life, and the lower cost of online courses compared to on-campus alternatives means that this valuable education can be remarkably affordable.‎

    • The skills and experience that you need to already have before starting to learn trading might include a high degree of computer literacy, deep analytical ability, a calm demeanor, and knowledge of business fundamentals that make trading stocks an enjoyable pursuit. When we talk about trading, we use the term for the activity of buying and selling shares in equities. There is the famous line "buy low, sell high." If the value of the shares rises, money is made from the profit between the buying price and the higher price at which it eventually sells. To learn trading, you might also already have experience with economics, finance, and statistics, as much of trading’s fundamentals rely on understanding why stock prices rise and fall. Having work experience on a futures trading platform or a stock trading floor could also be beneficial when you begin to learn about trading.‎

    • The kind of people best suited for roles in trading are generally those with an ambition to earn a lot of money and do it by being smarter than others when it comes to picking undervalued stocks to make a profit from. These people might have a background in financial management or stock trading. They may (or may not) have a business degree in business administration. Generally, those who work in stock trading may gain experience in a brokerage firm or a bank with a trading department. Trading involves a lot of financial modeling, so knowledge of financial software and platforms is essential for these people working in the trading industry.‎

    • To learn if trading is right for you, it may make sense for you to open a trading account with an online broker and start to research companies and stock movements. You may see information related to a company that others are missing. If you can dig deep to find information that may impact a stock price, you might be able to make a favorable trade. If you like to read online discussion forums about trading and trade tips with others who are passionate about trading to make money, then a career in stock trading may be the right move for you.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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