{"id":4746,"date":"2023-08-03T22:31:32","date_gmt":"2023-08-03T22:31:32","guid":{"rendered":"https:\/\/i-wapp.es\/imarkt\/admin\/?p=4746"},"modified":"2024-10-31T16:15:19","modified_gmt":"2024-10-31T16:15:19","slug":"algorithmic-trading-meaning-strategy-examples-how","status":"publish","type":"post","link":"https:\/\/i-wapp.es\/imarkt\/admin\/algorithmic-trading-meaning-strategy-examples-how\/","title":{"rendered":"Algorithmic Trading Meaning, Strategy, Examples, How it Works?"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">Volume-weighted Average Price (VWAP)<\/a><\/li>\n<li><a href=\"#toc-1\">Examples of Simple Trading Algorithms<\/a><\/li>\n<li><a href=\"#toc-2\">Does anyone actually make money with algorithmic trading?<\/a><\/li>\n<li><a href=\"#toc-3\">Implementing Row-Level Security in Power BI: Ensuring Data Privacy and Access Control<\/a><\/li>\n<\/ul>\n<\/div>\n<p>They determine appropriate price, time, and quantity of shares (size) to enter the market. Often, these algorithms make decisions independent of any human interaction. Money management funds\u2014mutual and index funds, pension plans, quantitative funds, and even hedge funds\u2014use algorithms to implement investment decisions. When it comes to the markets, algorithmic traders should target those where institutional traders are capacity-constrained and data is plentiful. This allows traders to capitalise on opportunities that may be unavailable to large institutional investors as well as take advantage of the <a href=\"https:\/\/www.xcritical.com\/blog\/algorithmic-trading-what-is-algo-trading-examples\/\">trading algorithms examples<\/a> wealth of data that can provide insights into market movements. Algo trading strategies offer a unique opportunity for traders to reap the benefits of big data and automation.<\/p>\n<h2 id=\"toc-0\">Volume-weighted Average Price (VWAP)<\/h2>\n<p>Live testing is the final stage of development and requires the developer to compare actual live trades with both the backtested and forward tested models. Metrics <a href=\"https:\/\/www.xcritical.com\/\">https:\/\/www.xcritical.com\/<\/a> compared include percent profitable, profit factor, maximum drawdown and average gain per trade. Forward testing the algorithm is the next stage and involves running the algorithm through an out of sample data set to ensure the algorithm performs within backtested expectations.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"308px\" alt=\"what is algorithmic trading example\"\/><\/p>\n<h2 id=\"toc-1\">Examples of Simple Trading Algorithms<\/h2>\n<p>It provides a wide range of features that help you generate trading ideas and consistently develop new strategies with the tool\u2019s powerful scanning software. Traders who use this approach buy when they believe an asset\u2019s price is in an uptrend or sell when it\u2019s in a downtrend with a goal to ride the trend for as long as it persists and exit when signs of a reversal appear. If not kept in check, this leads to traders shelving otherwise profitable strategies or manually changing trades.<\/p>\n<h2 id=\"toc-2\">Does anyone actually make money with algorithmic trading?<\/h2>\n<p>Finding the right forex broker before starting your trading journey is the first crucial decision you will have to make. For those wanting to trade markets using computer-power by coders and developers. IBKR ForecastTrader lets you use exchange-listed Forecast Contracts1 to trade your opinion on Yes or No questions on political,2 economic, and climate indicators.<\/p>\n<h2 id=\"toc-3\">Implementing Row-Level Security in Power BI: Ensuring Data Privacy and Access Control<\/h2>\n<ul>\n<li>If you do it once a month, there is a risk of selling promising shares during a local correction and buying additional overvalued securities.<\/li>\n<li>There\u2019s no coding necessary as TrendSpider\u00a0automates\u00a0code generation for you, all you have to do is set up a webhook so the tool can communicate with your trading platform and you can start trading.<\/li>\n<li>Now with Algorithmic trading coming into existence, the entire process of gathering market data till placement of the order for execution of trade has become automated.<\/li>\n<li>These algorithms provide a systematic structure and unique approach to identifying market trends, managing risks, and executing trades with the highest possible accuracy.<\/li>\n<li>The upper band is the sum of twice the standard deviation of the price to the moving average.<\/li>\n<\/ul>\n<p>Statistical arbitrage can work with a hundred or more stocks in its portfolio which are classified according to a number of factors and can be fully automated from both analysis &amp; execution perspectives. By addressing these aspects, traders and firms can better manage the risks inherent in algorithmic options trading and improve their chances of success in this highly competitive field. As we are aware, an investor\u2019s portfolio can include different securities such as stocks, bonds, gold and currencies.<\/p>\n<p>This is the first article in our series on Algorithmic Options Trading, helping you dive in and navigate the intricacies of Algorithmic Options Trading. Algo trading systems are susceptible to technical issues, like software bugs, connectivity problems, and hardware failures. Algorithms operate based on predefined rules and are not influenced by emotions, such as FOMO or greed. This can reduce the risk of impulsive decisions that can negatively impact trading outcomes. Algorithmic trading accounts for over 90% of all Forex trading, making it a hugely popular approach among retail and institutional traders. However, implementing mean reversion strategies can be challenging due to the extensive market analysis and monitoring required, as well as the need for a large amount of historical data for backtesting.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"309px\" alt=\"what is algorithmic trading example\"\/><\/p>\n<p>Once satisfied, implement it via a brokerage that supports algorithmic trading. There are also open-source platforms where traders and programmers share software and have discussions and advice for novices. Suppose you&#8217;ve programmed an algorithm to buy 100 shares of a particular stock of Company XYZ whenever the 75-day moving average goes above the 200-day moving average.<\/p>\n<p>It involves identifying the trading range for a stock and calculating its average price using analytical techniques. When the current market price lags behind the average price, the stock is considered attractive, hoping that the price will increase. However, it\u2019s important to keep in mind the risks of algorithmic trading\u2014namely, coding errors, black swan events, and overfitting your strategies to historical data. With advancements in technology, algorithmic trading has become more accessible to retail traders, unlocking a host of opportunities to profit in the market. As an algo trader, you\u2019ll spend most of your time developing and testing trading strategies using historical market data. The platform allows you to trade a host of markets from stocks to crypto as well as offering decades of historical market data for backtesting and a range of analysis tools.<\/p>\n<p>That would involve a lot of time and effort and hence, not make much of returns since not much of trading could take place. Now, there is a particular level of speed at which trading (buying and selling of stocks) takes place. Securities and Exchange Commission (SEC) had approved electronic exchanges, paving the way for computerised High-Frequency Trading (HFT). Since HFT can execute trades up to 1,000 times faster than humans, it quickly became widespread. Since now you know what trading was like before automation took over, next you will get to know when exactly manual trading started, and when algorithmic trading came into the picture. Options trading is not suitable for all investors due to its inherent high risk, which can potentially result in significant losses.<\/p>\n<p>By following these initial steps, traders can embark on their journey towards a more systematic and efficient approach to the forex market. Algorithmic trading faces scrutiny from regulators due to concerns about fairness and market stability. Traders must stay updated on regulations and ensure their algorithms operate ethically.<\/p>\n<p>Information leakage is minimized since the broker does not receive any information about the order or trading intentions of the investor. As well as being a trader, Milan writes daily analysis for the Axi community, using his extensive knowledge of financial markets to provide unique insights and commentary. There are also concerns that algorithms and HFT trading contribute to the rising occurrence of flash crashes.<\/p>\n<p>Finally, having a risk management and money management plan in place is essential for success in trading with algorithms. The algorithm is designed to continuously adapt its rate of execution, enabling the trader to have greater flexibility in executing trades at an agreeable speed and volume percentage. As you continue to learn, there are great online resources such as tutorials, courses and forums that can help you stay up-to-date on the latest developments in algorithmic trading.<\/p>\n<p>A special class of these algorithms attempts to detect algorithmic or iceberg orders on the other side (i.e. if you are trying to buy, the algorithm will try to detect orders for the sell side). In finance, delta-neutral describes a portfolio of related financial securities, in which the portfolio value remains unchanged due to small changes in the value of the underlying security. Investing in securities involves risks, including the risk of loss, including principal. Composer Securities LLC is a broker-dealer registered with the SEC and member of FINRA \/ SIPC. A trading algorithm may miss out on trades because the latter doesn\u2019t exhibit any of the signs the algorithm\u2019s been programmed to look for.<\/p>\n<p>Algorithmic trading, or algotrading, has gained popularity for several reasons. First, the high-level programming language Python allows users to easily program algorithms, democratizing access to advanced trading technologies. Secondly, data availability through REST APIs and WebSockets is accessible through various data providers, enabling real-time decision making and increased market responsiveness. Thirdly, numerous brokers provide APIs that enable communication with their systems for sending orders, monitoring open and closed positions, checking account balances, and accessing other functionalities. This integration facilitates a more streamlined and efficient trading process.<\/p>\n<p>Mean reversion strategies can be utilized to take advantage of short-term price fluctuations and detect potential trading opportunities. Furthermore, they can decrease risk by restricting exposure to volatile markets. The regulatory authorities later placed circuit breakers to prevent a flash crash in the financial markets. They also prevented algo-trades from having direct access to the exchanges. Suppose a trader follows a trading criterion that always purchases 100 shares whenever the stock price moves beyond and above the double exponential moving average.<\/p>\n<p>Exotic forex pairs can provide you with an opportunity to diversify your trading. Exotic currencies have a higher level of volatility, which increases the risk of trading them but also offers the chance of finding trading opportunities. As with any form of trading, you need to first determine your objectives and strategy then figure out which tools are the best to help you achieve them.<\/p>\n<p>Algorithmic trading strategies are diverse, ranging from simple techniques to complex models that incorporate machine learning or deep learning. This article will focus on a strategy known as \u00abbouncing from moving average curves,\u00bb where trades are executed based on the price interactions with these curves. Before diving into the specifics of this strategy, let me first introduce some basic concepts for readers who may be unfamiliar with trading. Proficiency in programming languages such as MQL4 or Python is essential for constructing and customizing trading algorithms.<\/p>\n<p>If you&#8217;re not a programmer, consider enrolling in online courses or hiring a developer to assist with your algorithmic strategies. Time-weighted average price strategy breaks up a large order and releases dynamically determined smaller chunks of the order to the market using evenly divided time slots between a start and end time. The aim is to execute the order close to the average price between the start and end times thereby minimizing market impact.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content Volume-weighted Average Price (VWAP) Examples of Simple Trading Algorithms Does anyone actually make money with algorithmic trading? Implementing Row-Level Security in Power BI: Ensuring Data Privacy and Access Control They determine appropriate price, time, and quantity of shares (size) to enter the market. Often, these algorithms make decisions independent of any human interaction. Money [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[160],"tags":[],"_links":{"self":[{"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/posts\/4746"}],"collection":[{"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/comments?post=4746"}],"version-history":[{"count":1,"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/posts\/4746\/revisions"}],"predecessor-version":[{"id":4747,"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/posts\/4746\/revisions\/4747"}],"wp:attachment":[{"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/media?parent=4746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/categories?post=4746"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/i-wapp.es\/imarkt\/admin\/wp-json\/wp\/v2\/tags?post=4746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}