{"id":2924,"date":"2026-02-05T16:59:26","date_gmt":"2026-02-05T16:59:26","guid":{"rendered":"https:\/\/mengossdit.com\/muhuma\/?p=2924"},"modified":"2026-02-05T20:00:12","modified_gmt":"2026-02-05T20:00:12","slug":"automated-trading-system-wikipedia-2","status":"publish","type":"post","link":"https:\/\/mengossdit.com\/muhuma\/2026\/02\/05\/automated-trading-system-wikipedia-2\/","title":{"rendered":"Automated Trading System Wikipedia"},"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\">Are Ai Trading Bots Legal?<\/a><\/li>\n<li><a href=\"#toc-1\">Key Trends Shaping Ai Trading Bots<\/a><\/li>\n<li><a href=\"#toc-2\">Social Trading Platform<\/a><\/li>\n<li><a href=\"#toc-6\">The Human-ai Collaboration Model<\/a><\/li>\n<\/ul>\n<\/div>\n<p>What\u2019s more, as AI technology continues to advance, its role in trading will only become more significant. You also need to regularly review and update features, algorithms, and security measures to ensure that the platform remains effective. Yet, building an AI trading system is an ongoing process. We offer AI development services and have extensive experience in the trading industry. This complexity leads to limited interpretability, as many AI models, such as neural networks, are seen as black boxes.<\/p>\n<div itemScope itemProp=\"mainEntity\" itemType=\"https:\/\/schema.org\/Question\"><\/div>\n<div itemProp=\"name\">\n<h2>What is the best AI trading app for beginners?<\/h2>\n<\/div>\n<div itemScope itemProp=\"acceptedAnswer\" itemType=\"https:\/\/schema.org\/Answer\"><\/div>\n<div itemProp=\"text\">\n<ol>\n<li>RockFlow. Features of RockFlow.<\/li>\n<li>Tickeron. Tickeron is perfect for making trading easier for beginners.<\/li>\n<li>Streetbeat. Streetbeat is a great app for new investors.<\/li>\n<li>Trade Ideas.<\/li>\n<li>Kavout.<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"toc-0\">Are Ai Trading Bots Legal?<\/h2>\n<p><img decoding=\"async\" class=\"aligncenter\" style=\"display: block;margin-left:auto;margin-right:auto;\" 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\" width=\"302px\" alt=\"AI automated trading systems\"\/><\/p>\n<p>It can also surface patterns across equities, options, futures, forex and crypto, allowing individuals to distribute their strategies across others assets through a dedicated marketplace. On average, Holly enters between five and 25 trades per day based on various strategies. Each night the AI assistant platform will select the strategies with the highest statistical chance to deliver profitable trades for the upcoming trading day.<\/p>\n<div itemScope itemProp=\"mainEntity\" itemType=\"https:\/\/schema.org\/Question\"><\/div>\n<div itemProp=\"name\">\n<h2>Is AI trading really profitable?<\/h2>\n<\/div>\n<div itemScope itemProp=\"acceptedAnswer\" itemType=\"https:\/\/schema.org\/Answer\"><\/div>\n<div itemProp=\"text\">\n<p>While AI trading cannot generate reliable profits, experienced traders are using the technology to great effect! For example, it is possible to: Data preparation. Monitoring of key figures.<\/p>\n<\/div>\n<h3 id=\"toc-1\">Key Trends Shaping Ai Trading Bots<\/h3>\n<p>Please consult legal and financial professionals for personalized advice based on your specific circumstances. It is essential to review and understand our Terms of Service and Risk Disclosure Policy before using our software or engaging in any trading activities. By using Cryptohopper&#8217;s services, you acknowledge and accept the inherent risks involved in cryptocurrency trading and agree to hold Cryptohopper harmless from any liabilities or losses incurred. Only engage in bot trading if you possess sufficient knowledge or seek guidance from a qualified financial advisor. Cryptocurrency bot trading involves substantial risks, and past performance is not indicative of future results.<\/p>\n<div style=\"text-align:center\"><iframe width=\"566\" height=\"314\" src=\"https:\/\/www.youtube.com\/embed\/wYbf5XwdcPI\" frameborder=\"0\" alt=\"AI automated trading systems\" allowfullscreen><\/iframe><\/div>\n<h3 id=\"toc-2\">Social Trading Platform<\/h3>\n<div style=\"display: flex;justify-content: center;\"><iframe width=\"600\" height=\"453\" src=\"https:\/\/maps.google.com\/maps?q=&#038;t=&#038;z=15&#038;ie=UTF8&#038;iwloc=&#038;output=embed\"><\/iframe><\/div>\n<p>Compared to professional signal services ($50-150\/mo) or premium trading platforms, AI-powered trading bots offer significant value for individual traders. The solution is using AI for signal generation and analysis while maintaining human oversight for final trading decisions. Unlike simple charting software, AI bots like those on Jenova combine frontier model capabilities with technical expertise\u2014the Technical Stock Analyst for price action analysis, pattern recognition, and signal generation. &quot;As machine learning algorithms evolve, they become increasingly hard to audit, and their behavior is more difficult to predict.&quot; &quot;Can a machine learning algorithm trained in specific market conditions trade effectively under conditions it has not yet learned to navigate?&quot; This diminishes their capacity for generalization when encountering novel datasets and consequently leads to suboptimal trading decisions.<\/p>\n<div style=\"text-align:center\"><iframe width=\"562\" height=\"317\" src=\"https:\/\/www.youtube.com\/embed\/um1dWHFCdoA\" frameborder=\"0\" alt=\"AI automated trading systems\" allowfullscreen><\/iframe><\/div>\n<p>These raise concern about firms&#8217; ability to develop, implement, and effectively supervise their automated systems. In recent years, there have been a number of algorithmic trading malfunctions that caused substantial market disruptions. A strategy would be illegitimate or even illegal if it causes deliberate disruption in the market or tries to manipulate it. Although many HFT strategies are legitimate, some are not and may be used for manipulative trading. Automated trading, or high-frequency trading, causes regulatory concerns as a contributor to market fragility.<\/p>\n<div style=\"border: black dashed 1px;padding: 14px;\">\n<h3>AI Trading Bots Are Booming\u2014But Can You Trust Them With Your Money? &#8211; Yahoo Finance<\/h3>\n<p>AI Trading Bots Are Booming\u2014But Can You Trust Them With Your Money?.<\/p>\n<p>Posted: Sun, 03 Aug 2025 07:00:00 GMT <a href=\"https:\/\/news.google.com\/rss\/articles\/CBMigAFBVV95cUxNcl9tZmNUQVJ5cDZCV3NlYkd1ZWtKeDdkdXp1c1BMRmtIMVprOWE3d3BoSmJRcTRXQ3BRdkdFY2NfMkFpODRiMkZsN05UOWdEVzhQVnpVMGdoVWdWMzh5dnZnUUREejJ6M3JmakFyYUhMMWFuelJMdW5tMnJXSExraA?oc=5\" rel=\"nofollow\">source<\/a><\/p>\n<\/div>\n<p>While many investors have enjoyed the upsides of AI trading, there are some downsides to be aware of before applying AI trading tools. There may be costs to implement and maintain AI, but over time firms and investors can spend less money on overhead expenses. Traditional investment firms might have hundreds of brokers, analysts and advisors working under them, but AI trading technology can replicate some of the repetitive tasks people have to do. Investors can then compile insights to weigh the likelihood of various outcomes, assess their current investment strategies and make changes as needed. One survey found that traders who used algorithmic trading increased productivity by\u00a010 percent. Investors can then contextualize their financial standing and decide whether they need to improve their strategy.<\/p>\n<ul>\n<li>The automated trading system determines whether an order should be submitted based on, for example, the current market price of an option and theoretical buy and sell prices.<\/li>\n<li>At Intellias, we bring years of experience in capital markets consulting.<\/li>\n<li>If you\u2019re into technical analysis, the time savings alone make it worthwhile.<\/li>\n<li>It also uses AI to backtest strategies against historical data to optimize portfolio allocation and rebalance in real time.<\/li>\n<li>Are Galileo FX staff licensed investment advisors or brokers?<\/li>\n<li>For active traders, this means limited time for actual execution\u2014the activity that generates returns.<\/li>\n<\/ul>\n<p>An algorithm in this context is a set of instructions that tells the trading program when to buy and sell. Borealis AI researches, designs, and builds advanced AI products and technology that transform the future of finance in measurable and explainable ways. Aiden emerged through a collaborative effort with Borealis AI, an industry-leading artificial intelligence research institute created by RBC in 2016. \u201cAiden proved able to perform well during some of the more volatile market periods during the begining of the Covid-19 pandemic \u2013 conditions that are particularly tough for the predictive AIs. How can we ensure artificial intelligence is bringing real value to clients?<\/p>\n<ul>\n<li>Yes, passive investing is possible with AI trading bots, as these bots make automated trading decisions without requiring constant intervention.<\/li>\n<li>This means that the era of relying solely on personal analysis and gut feelings for investment decisions is coming to an end.<\/li>\n<li>An automated trading system (ATS), a subset of algorithmic trading, uses a computer program to create buy and sell orders and automatically submits the orders to a market center or exchange.<\/li>\n<li>While using historical data to anticipate future stock market behavior has proven to be an accurate method, it isn\u2019t foolproof.<\/li>\n<\/ul>\n<h2 id=\"toc-3\">What Features Should I Look For In Ai Trading Software?<\/h2>\n<p>Fintech companies are racing to build these autonomous systems. These autonomous agents will monitor watchlists, interpret market insights, and manage trade alerts independently. However, modern trading platforms are lowering this barrier  with intuitive interfaces for managing watchlists and trade alerts.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" style=\"display: block;margin-left:auto;margin-right:auto;\" 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\" width=\"307px\" alt=\"AI automated trading systems\"\/><\/p>\n<h3 id=\"toc-4\">Empowering Millions Of Traders Since 2017<\/h3>\n<ul>\n<li>It also can recognize complex patterns and execute trades with precision, which can help enhance your portfolio&#8217;s performance.<\/li>\n<li>By expanding the range of data inputs and creating realistic test environments, generative AI complements machine learning stems, helping investors build more innovative trading approaches.<\/li>\n<li>Languages like Python, R, and Java are commonly used for building AI trade systems because they offer robust data analysis libraries and frameworks.<\/li>\n<li>The bots use algorithms to analyse market data and respond to market movements in real time.<\/li>\n<\/ul>\n<p>Their software will analyze data via hundreds of metrics, using millions of data points. It relies upon its Kai machine learning program,\u00a0which it claims can outperform the index with lower risk in simulations. Instead of just telling you what to buy, it explains why certain stocks score highly on its K Score system (1-9 scale based on over 200 factors). The platform runs multiple neural networks that power different automated trading rooms. If you\u2019re into technical analysis, the time savings alone make it worthwhile.<\/p>\n<div style=\"text-align:center\"><iframe width=\"563\" height=\"310\" src=\"https:\/\/www.youtube.com\/embed\/IVvn7x7iNOg\" frameborder=\"0\" alt=\"AI automated trading systems\" allowfullscreen><\/iframe><\/div>\n<p>As they evolve, AI-powered systems deliver more accurate <a href=\"https:\/\/www.daytrading.com\/iqcent\">https:\/\/www.daytrading.com\/iqcent<\/a> predictions, react faster to market shifts, and gain deeper insights into underlying trends. The essential benefit of artificial intelligence in trading is its ability to learn and improve over time. To manage risks and lock in profits, AI-driven trading platforms contain predefined stop-loss and take-profit levels. To assess the effectiveness and reliability of trained models, they are backtested on historical data. Through this training, the models learn to predict future price movements and spot profitable trading opportunities. Alternative data refers to information collected from non-traditional sources, such as social media sentiment and web traffic indicators.<\/p>\n<div itemScope itemProp=\"mainEntity\" itemType=\"https:\/\/schema.org\/Question\"><\/div>\n<div itemProp=\"name\">\n<h2>What are the risks of AI trading?<\/h2>\n<\/div>\n<div itemScope itemProp=\"acceptedAnswer\" itemType=\"https:\/\/schema.org\/Answer\"><\/div>\n<div itemProp=\"text\">\n<p>Risks of AI trading<\/p>\n<p> However, these models are only reliable to a certain extent, as unpredictable market fluctuations or discrepancies in data accuracy could lead to inaccurate predictions. There are also risks associated with ethics, data use, volatility and regulation, among others.<\/p>\n<\/div>\n<h2 id=\"toc-5\">Can Ai Trade Systems Operate Independently Without Human Intervention?<\/h2>\n<p><img decoding=\"async\" class=\"aligncenter\" style=\"display: block;margin-left:auto;margin-right:auto;\" 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width=\"302px\" alt=\"AI automated trading systems\"\/><\/p>\n<p>Thanks to natural language processing (NLP), sophisticated AI-based financial software can understand and interpret human language. These algorithms process and analyze massive amounts of data to identify patterns and trends. There are a lot of machine learning applications in finance, and using ML algorithms for AI trading is one of them. <a href=\"https:\/\/www.yell.com\/biz\/iqcent-london-11010560\/\">https:\/\/www.yell.com\/biz\/iqcent-london-11010560\/<\/a> The systems can also execute trades automatically based on these signals, often within milliseconds, capitalizing on the slightest price movements. These algorithms are then trained on historical data to identify patterns and relationships.<\/p>\n<ul>\n<li>This complexity leads to limited interpretability, as many AI models, such as neural networks, are seen as black boxes.<\/li>\n<li>Whether you are a quant building complex trading systems or a retail investor using a stock analysis app, ai-powered tools are essential for navigating modern markets.<\/li>\n<li>Instead, it identifies a trend early in the day and then trades automatically according to a predefined strategy, regardless of directional shifts.<\/li>\n<li>Although AI can initiate and complete trades on its own, it also contributes to other parts of the investing process.<\/li>\n<\/ul>\n<h3 id=\"toc-6\">The Human-ai Collaboration Model<\/h3>\n<p>Built In strives to maintain <a href=\"https:\/\/www.yell.com\/biz\/iqcent-london-11010560\/\">iqcent reviews<\/a> accuracy in all its editorial coverage, but it is not intended to be a substitute for financial or legal advice. With the help of AI, the company recommends daily top stocks using pattern recognition technology and a price forecasting engine. The platform works with a variety of brokers and receives over 280 million orders from investors per day, according to its website. The company collects written content and data from sources like Goldman Sachs, J.P. Morgan and Morgan Stanley and makes it easy to sift through with its search function. A line of inaccurate code can spell massive trouble for a firm when that error is multiplied on the scale of hundreds of thousands of trades happening in a split second. It\u2019s impossible for humans to comprehend this task and understand how AI makes trading decisions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content Are Ai Trading Bots Legal? Key Trends Shaping Ai Trading Bots Social Trading Platform The Human-ai Collaboration Model What\u2019s more, as AI technology continues to advance, its role in trading will only become more significant. You also need to regularly review and update features, algorithms, and security measures to ensure that the platform remains [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":["post-2924","post","type-post","status-publish","format-standard","hentry","category-the-most-powerful-crypto-trading-bot-3"],"_links":{"self":[{"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/posts\/2924","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/comments?post=2924"}],"version-history":[{"count":1,"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/posts\/2924\/revisions"}],"predecessor-version":[{"id":2925,"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/posts\/2924\/revisions\/2925"}],"wp:attachment":[{"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/media?parent=2924"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/categories?post=2924"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mengossdit.com\/muhuma\/wp-json\/wp\/v2\/tags?post=2924"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}