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    • Trading

    필터링 기준

    "trading"에 대한 151개의 결과

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      Rice University

      Global Financial Markets and Instruments

      획득할 기술: Leadership and Management, Market (Economics), Investment, Stock, Financial Markets, Securities Trading, Finance

      4.6

      (1.9k개의 검토)

      Mixed · Course · 1-4 Weeks

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      Coursera Project Network

      Investment Risk Management

      획득할 기술: Probability & Statistics, Investment, Leadership and Management, Investment Management, Risk Management, Risk, Finance

      4.5

      (540개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

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      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      획득할 기술: Leadership and Management, Strategy, Marketing, Modeling, Sales, Machine Learning, Entrepreneurship, Cloud Platforms, Finance, Trading, Cloud Computing, Strategy and Operations, Bigquery, Investment Management

      4.0

      (725개의 검토)

      Intermediate · Course · 1-4 Weeks

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      New York Institute of Finance

      Using Machine Learning in Trading and Finance

      획득할 기술: Machine Learning, Risk Management, Investment Management, Finance, Trading

      4.0

      (298개의 검토)

      Intermediate · Course · 1-3 Months

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      Indian School of Business

      Design your own trading strategy – Culminating Project

      획득할 기술: Strategy, Marketing, Entrepreneurship, Planning, Supply Chain and Logistics, Investment Management, Sales, Leadership and Management, Strategic Management, Trading, Strategy and Operations, Finance

      4.5

      (97개의 검토)

      Intermediate · Course · 1-3 Months

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      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

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

      3.7

      (192개의 검토)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Portfolio Diversification using Correlation Matrix

      획득할 기술: Probability & Statistics, Corporate Accouting, General Statistics, Matrices, Analysis, Finance, Correlation And Dependence, Data Analysis, Financial Analysis, Business Analysis, Trading

      4.5

      (231개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

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      Columbia University

      Economics of Money and Banking

      획득할 기술: Regulations and Compliance, Banking, Risk Management, Leadership and Management, Market (Economics), Economics, Finance, Economy

      4.9

      (1.4k개의 검토)

      Mixed · Course · 3-6 Months

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      Macquarie University

      Data Visualization in Excel

      획득할 기술: Microsoft Excel, Interactivity, Data Visualization, Data Analysis Software, Spreadsheet Software, Pivot Table, Business Analysis, Data Analysis, Chart, Interactive Data Visualization, Analysis

      4.9

      (497개의 검토)

      Intermediate · Course · 1-3 Months

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      University of California, Irvine

      Blockchain

      획득할 기술: 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

      (162개의 검토)

      Beginner · Specialization · 3-6 Months

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      CFA Institute

      Machine Learning for Investment Professionals

      획득할 기술: Corporate Accouting, Accounting, Modeling, Marketing, Data Clustering Algorithms, Ethics, Deep Learning, Machine Learning, Communication, Stock, Unsupervised Learning

      Beginner · Course · 1-3 Months

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      New York University

      Reinforcement Learning in Finance

      획득할 기술: Computer Programming, Tensorflow, Python Programming, Applied Machine Learning

      3.6

      (120개의 검토)

      Advanced · Course · 1-4 Weeks

    trading과(와) 관련된 검색

    trading basics
    trading strategy
    trading algorithms
    trading strategies in emerging markets
    stock trading
    algorithmic trading
    day trading
    forex trading
    1…456…13

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

    • Global Financial Markets and Instruments: Rice University
    • Investment Risk Management: Coursera Project Network
    • Introduction to Trading, Machine Learning & GCP: Google Cloud
    • Using Machine Learning in Trading and Finance: New York Institute of Finance
    • Design your own trading strategy – Culminating Project: Indian School of Business
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Portfolio Diversification using Correlation Matrix: Coursera Project Network
    • Economics of Money and Banking: Columbia University
    • Data Visualization in Excel: Macquarie University
    • Blockchain: University of California, Irvine

    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)
    거래 (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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