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    • Trading
    Related topics:股票市场股票交易金融交易算法交易金融市场分析

    筛选依据

    ''trading'的 135 个结果

    • Practical Guide to Trading by Interactive Brokers

      Practical Guide to Trading

      Interactive Brokers
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.3(满分 5 星)。238 条评论
      4.3(238)
      23k 名学生
      Beginner Level
      Beginner
    • Trading Strategies in Emerging Markets by Indian School of Business

      Trading Strategies in Emerging Markets

      Indian School of Business
      专项课程
      Filled StarFilled StarFilled StarFilled StarStar
      评分为 4.2(满分 5 星)。2399 条评论
      4.2(2,399)
      140k 名学生
      Beginner Level
      Beginner
    • Financial Markets by Yale University

      Financial Markets

      Yale University
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。21682 条评论
      4.8(21,682)
      1.2 分钟 名学生
      Beginner Level
      Beginner
    • Machine Learning for Trading by New York Institute of Finance, Google Cloud, New York Institute of Finance, Google Cloud

      Machine Learning for Trading

      New York Institute of Finance
      专项课程
      Filled StarFilled StarFilled StarFilled StarStar
      评分为 3.9(满分 5 星)。928 条评论
      3.9(928)
      42k 名学生
      Intermediate Level
      Intermediate
    • Investment Management by University of Geneva

      Investment Management

      University of Geneva
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.7(满分 5 星)。6730 条评论
      4.7(6,730)
      170k 名学生
      Beginner Level
      Beginner
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      Trading Basics

      Indian School of Business
      课程
      Filled StarFilled StarFilled StarFilled StarStar
      评分为 4(满分 5 星)。1610 条评论
      4(1,610)
      110k 名学生
      Beginner Level
      Beginner
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      Investment Management with Python and Machine Learning

      EDHEC Business School
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。1442 条评论
      4.6(1,442)
      54k 名学生
      Beginner Level
      Beginner
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      Bitcoin and Cryptocurrency Technologies

      Princeton University
      课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。2780 条评论
      4.6(2,780)
      660k 名学生
      Mixed Level
      Mixed
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      Investment and Portfolio Management

      Rice University
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.5(满分 5 星)。2209 条评论
      4.5(2,209)
      100k 名学生
      Beginner Level
      Beginner
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      Machine Learning and Reinforcement Learning in Finance

      New York University
      专项课程
      Filled StarFilled StarFilled StarHalf Filled StarStar
      评分为 3.7(满分 5 星)。741 条评论
      3.7(741)
      42k 名学生
      Intermediate Level
      Intermediate
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      Economics of Money and Banking

      Columbia University
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.9(满分 5 星)。1337 条评论
      4.9(1,337)
      130k 名学生
      Mixed Level
      Mixed
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      Post Graduate Certificate in Machine Learning for Finance

      IIT Roorkee
      大学证书
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      Building Candlestick Charts with Google Sheets

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.3(满分 5 星)。227 条评论
      4.3(227)
      8.6k 名学生
      Beginner Level
      Beginner
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      Measuring Stock Liquidity

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.3(满分 5 星)。58 条评论
      4.3(58)
      4.1k 名学生
      Intermediate Level
      Intermediate
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      Investment Risk Management

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.5(满分 5 星)。513 条评论
      4.5(513)
      21k 名学生
      Intermediate Level
      Intermediate
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      Trading Algorithms

      Indian School of Business
      课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。1021 条评论
      4.6(1,021)
      44k 名学生
      Intermediate Level
      Intermediate
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      Analyzing Company Performance using Ratios

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarStar
      评分为 4.2(满分 5 星)。555 条评论
      4.2(555)
      26k 名学生
      Intermediate Level
      Intermediate
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      Stock Valuation with Comparable Companies Analysis

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.3(满分 5 星)。449 条评论
      4.3(449)
      24k 名学生
      Intermediate Level
      Intermediate
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      Understanding Financial Markets

      University of Geneva
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。5225 条评论
      4.8(5,225)
      140k 名学生
      Beginner Level
      Beginner
    • Placeholder

      Construct Stock Market Indices

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。113 条评论
      4.6(113)
      6.3k 名学生
      Advanced Level
      Advanced

    与 trading 相关的搜索

    trading basics
    trading strategy
    trading algorithms
    trading strategies in emerging markets
    algorithmic trading
    stock trading
    options trading
    cryptocurrency trading
    1234…7

    总之,这是我们最受欢迎的 trading 门课程中的 10 门

    • Practical Guide to Trading: Interactive Brokers
    • Trading Strategies in Emerging Markets: Indian School of Business
    • Financial Markets: Yale University
    • Machine Learning for Trading: New York Institute of Finance
    • Investment Management: University of Geneva
    • Trading Basics: Indian School of Business
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Bitcoin and Cryptocurrency Technologies: Princeton University
    • Investment and Portfolio Management: Rice University
    • Machine Learning and Reinforcement Learning in Finance: New York University

    您可以在 Finance 中学到的技能

    投资 (23)
    市场(经济学) (20)
    股票 (18)
    财务报表 (14)
    财务会计 (13)
    建模 (13)
    公司金融学 (11)
    金融分析 (11)
    Evaluation (10)
    金融市场 (10)
    价格 (10)

    关于 贸易 的常见问题

    • 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.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
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