{"id":7409,"date":"2026-04-24T21:25:10","date_gmt":"2026-04-24T13:25:10","guid":{"rendered":"https:\/\/witology.com.tw\/?p=7409"},"modified":"2026-05-11T11:05:40","modified_gmt":"2026-05-11T03:05:40","slug":"ai-copy-trading-crypto-market","status":"publish","type":"post","link":"https:\/\/witology.com.tw\/en\/post\/7409\/","title":{"rendered":"\u56db\u6708_AI \u8ddf\u55ae\u4ea4\u6613\u5982\u4f55\u91cd\u5851\u52a0\u5bc6\u5e02\u5834"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/witology.com.tw\/en\/post\/7409\/#%E6%A9%9F%E6%A7%8B%E5%81%9A%E5%BA%95%EF%BC%8C%E6%95%A3%E6%88%B6%E6%90%B6%E6%B5%AA%EF%BC%8C%E5%8A%A0%E5%AF%86%E5%B8%82%E5%A0%B4%E7%AC%AC%E4%B8%80%E6%AC%A1%E5%87%BA%E7%8F%BE%E3%80%8C%E4%B8%8A%E4%B8%8B%E5%88%86%E5%B7%A5%E3%80%8D\" >Institutions are the bottom of the barrel, retailers are the top of the wave, and for the first time, there is a \"top-down\" division of labor in the crypto market.<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/witology.com.tw\/en\/post\/7409\/#%E8%B7%9F%E5%96%AE%E4%BA%A4%E6%98%93%E7%9A%84%E7%88%86%E7%99%BC%EF%BC%9A%E5%BE%9E%E3%80%8C%E8%B7%9F%E4%BA%BA%E3%80%8D%E8%B5%B0%E5%88%B0%E3%80%8C%E8%B7%9F%E7%AD%96%E7%95%A5%E3%80%8D\" >The Explosion of Follower Trading: From \"Follower\" to \"Follower\" Strategy<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/witology.com.tw\/en\/post\/7409\/#%E7%95%B6%E4%BD%A0%E8%B7%9F%E7%9A%84%E4%B8%8D%E5%86%8D%E6%98%AF%E4%BA%BA%EF%BC%8C%E8%80%8C%E6%98%AF%E4%B8%80%E5%80%8B%E6%9C%83%E8%AE%80%E6%96%B0%E8%81%9E%E3%80%81%E6%9C%83%E4%B8%8B%E5%96%AE%E3%80%81%E6%9C%83%E8%87%AA%E5%B7%B1%E9%80%B2%E5%8C%96%E7%9A%84_Agent\" >When you are no longer following a human being, but an Agent who reads the news, places orders, and evolves on his own.<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/witology.com.tw\/en\/post\/7409\/#%E7%9C%8B%E4%BC%BC%E7%B9%81%E6%A6%AE%E4%B8%8B%E7%9A%84%E4%B8%89%E5%80%8B%E8%AD%A6%E8%A8%8A\" >Three Warning Signs of Seeming Prosperity<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/witology.com.tw\/en\/post\/7409\/#%E7%95%B6%E4%B8%96%E7%95%8C%E8%BD%89%E5%90%91AI%E8%B7%9F%E5%96%AE%EF%BC%8C%E6%9C%AC%E5%9C%9F%E4%BA%A4%E6%98%93%E6%89%80%E8%8B%A5%E4%B8%8D%E8%B7%9F%E4%B8%8A%EF%BC%8C%E4%B8%80%E8%88%AC%E4%BA%A4%E6%98%93%E8%80%85%E6%9C%83%E8%BD%89%E5%90%91%E4%BD%95%E6%96%B9\" >As the world turns to AI followers, where will the average trader turn if the local exchanges don't keep up?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/witology.com.tw\/en\/post\/7409\/#%E5%BB%B6%E4%BC%B8%E9%96%B1%E8%AE%80\" >Extended Reading<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n<p>Ji-Pu Industrial Trend Research Institute\uff1aYu Shi Bo<\/p>\n<p>As mentioned earlier, Bitcoin has taken up the safe-haven flag in the US-Iraq war, and organizations such as BlackRock and Fidelity have taken the plunge through ETFs, quietly repositioning the role of cryptocurrencies from speculative commodities to \"digital asset reserves\". However, this is just the tip of the iceberg. While institutional funds at the bottom are steadily making inroads at a rate of tens of billions of dollars per quarter, another revolution closer to the retail investor is quietly taking shape at the other end of the exchange spectrum - AI-powered copy trading, which is redefining who is eligible to make money in crypto at an alarming rate.<\/p>\n<p>According to the latest data, the global crypto trading market will reach $47.4 billion in 2025, and the Bitget platform alone has accumulated 190,000 professional order takers, 800,000 followers, more than 100 million followers, and generated followers' profits exceeding $530 million. What's more, AI Large Language Model (LLM) is changing from an observer to the main character of the game; the trader you are trading with is upgraded from a trader to a 24-hour AI agent that never sleeps, reads the news, and parses the data on the chain. it's not a coincidence that the structural change at the retail level is occurring at the same time as the hedge money at the institutional level, but it's a double-track signal that crypto is maturing. This is not a coincidence, but a double-track signal that the crypto market is maturing.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E6%A9%9F%E6%A7%8B%E5%81%9A%E5%BA%95%EF%BC%8C%E6%95%A3%E6%88%B6%E6%90%B6%E6%B5%AA%EF%BC%8C%E5%8A%A0%E5%AF%86%E5%B8%82%E5%A0%B4%E7%AC%AC%E4%B8%80%E6%AC%A1%E5%87%BA%E7%8F%BE%E3%80%8C%E4%B8%8A%E4%B8%8B%E5%88%86%E5%B7%A5%E3%80%8D\"><\/span><strong>Institutions are the bottom of the barrel, retailers are the top of the wave, and for the first time, there is a \"top-down\" division of labor in the crypto market.<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Over the past few years, price fluctuations in the crypto market have been driven almost exclusively by retail investor sentiment. A Musk tweet, an exchange rumor, or a FSC press conference can send Bitcoin up and down in a matter of hours. This \"all-surfing\" market structure is the reason why cryptocurrencies have long been regarded as a \"casino\" by traditional finance.<\/p>\n<p>However, since the approval of the spot Bitcoin ETF in early 2024, the structure has begun to change qualitatively. According to the latest data, the asset under management (AUM) of BlackRock's IBIT has exceeded $70 billion, and the 30-day median bid-ask spread has compressed to a mere 0.02%, which is almost on par with old ETFs such as SPY, etc. For the whole year of 2025, the net inflow into the Bitcoin ETF was $47.2 billion; and in the first quarter of 2026, the ETF still attracted $12.4 billion in a single quarter. In the first quarter of 2026, ETFs drew $12.4 billion even in the face of the US-Iraq war and the oil price hitting $120. Unlike the speculative quick money of the past, most of this money comes from retirement funds, family offices, and insurance funds, and is characterized by long-term holdings after purchase, with few entries and exits.<\/p>\n<p>When this group of \"immobile\" long term capital moved in, a phenomenon that had never occurred in the past began to emerge: for the first time, high volatility and deep liquidity existed in the market at the same time. Compared to the trading conditions of virtual currencies in the past, three phenomena emerged in the new landscape: \"bid-ask spreads have become smaller\", \"depth has become thicker\", and \"slippage has decreased\". As a result, algorithmic strategies that were previously ineffective in trading pools now have room to maneuver.<\/p>\n<p>As a result, the crypto market has grown into a two-tier order: at the bottom, institutions use ETFs to slowly absorb and stack long-term positions; at the surface, retail traders use follow-the-sun trading and AI tools to repeatedly rush in and out of the highly volatile waves. The former earns \"dividends from market growth\" while the latter earns \"spreads from volatility\". The two are not in competition, but in symbiosis; long-term institutional buying provides liquidity and stability, while high-frequency retail trading contributes to the market noise that really allows AI strategies to work.<\/p>\n<p>This is the underlying logic behind the $47.4 billion annual crypto-following trading market that has surged over the past year and a half. With a stable enough floor and deep enough liquidity, AI trading tools are starting to turn from toys into trading weapons.<\/p>\n<p><img class=\"lazyload\" decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271800%27%20height%3D%271120%27%20viewBox%3D%270%200%201800%201120%27%3E%3Crect%20width%3D%271800%27%20height%3D%271120%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-orig-src=\"https:\/\/witology.com.tw\/wp-content\/uploads\/2026\/04\/tech_AI-img-1.png\" \/><\/p>\n<p><em>Chart 1\uff5cThe Two-Level Order of Crypto Markets: The Symbiotic Relationship Between Institutional Chassis and Retail Battlegrounds<\/em><\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E8%B7%9F%E5%96%AE%E4%BA%A4%E6%98%93%E7%9A%84%E7%88%86%E7%99%BC%EF%BC%9A%E5%BE%9E%E3%80%8C%E8%B7%9F%E4%BA%BA%E3%80%8D%E8%B5%B0%E5%88%B0%E3%80%8C%E8%B7%9F%E7%AD%96%E7%95%A5%E3%80%8D\"><\/span><strong>The Explosion of Follower Trading: From \"Follower\" to \"Follower\" Strategy<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The concept of copy trading is not new. As early as 2010 or so, the social investment platform eToro has already launched \"one-click follow orders\" in the stock and foreign exchange markets. But in the crypto market, this mechanism was not introduced until 2020 by Bitget, and has really hit its stride in the past two years.<\/p>\n<p>Bitget is currently the leader in crypto followers trading (Binance and OKX have followers systems, but there is no relevant public data) with 190,000 professional order takers and 800,000 followers, who have executed more than 100 million followers' trades, creating cumulative profits of more than $530 million for followers, and Bybit has launched three different followers modes of varying complexity, including Classic, Pro, and MT5, based on a user base of 15 million. Classic, Pro and MT5 followers of different complexity, of which the commission of Pro Master can reach up to 30%, attracting a group of traders who used to work in hedge funds and want to set up their own accounts. Binance takes another path: targeting the mass market, it pushes down the minimum threshold of followers' trades to 10USDT, and combines the largest traffic pool and the most complete performance pool with the most advanced trading platforms. Combining the world's largest traffic pool with the most complete performance transparency dashboard, Binance makes following orders as easy as subscribing.<\/p>\n<p>Behind this wave is a change in the mindset of traders. In the past, when retail traders entered the market to buy coins, they thought, \"I want to learn a trading strategy\"; now they think, \"I want to find out who has the best strategy\". This shows that when the flow of information in the market is so fast that the human brain cannot process it, our inertia naturally favors the simpler and more winnable experts rather than active management. The essence of order-following trading is to institutionalize, platformize, and quantify this entrusted relationship.<\/p>\n<p>The key turning point is that the positioning of the role of the lead trader is changing. In the early days when Bitget first launched the followers, most of the followers were casual netizens who relied on Telegram, Discord and other communities to accumulate fame; nowadays, the major platforms have introduced complete quantitative dimensions such as the Sharpe index, maximum retracement, win rate, and AUM capacity, so that the followers have been \"productized\" in essence, which in turn allows the followers to no longer focus on their personal stories and IPs, but rather on performance, records, and risk avoidance. The focus of the followers is no longer on personal narrative and IP, but on performance, record keeping, and risk avoidance. This change is precisely the entry point for AI tools to intervene.<\/p>\n<p><img class=\"lazyload\" decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271800%27%20height%3D%271040%27%20viewBox%3D%270%200%201800%201040%27%3E%3Crect%20width%3D%271800%27%20height%3D%271040%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-orig-src=\"https:\/\/witology.com.tw\/wp-content\/uploads\/2026\/04\/tech_AI-img-2.png\" \/><\/p>\n<p><em>Chart 2: Comparison of the three major exchanges' follow-the-sun trading situation: different threshold strategies and product positioning<\/em><\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E7%95%B6%E4%BD%A0%E8%B7%9F%E7%9A%84%E4%B8%8D%E5%86%8D%E6%98%AF%E4%BA%BA%EF%BC%8C%E8%80%8C%E6%98%AF%E4%B8%80%E5%80%8B%E6%9C%83%E8%AE%80%E6%96%B0%E8%81%9E%E3%80%81%E6%9C%83%E4%B8%8B%E5%96%AE%E3%80%81%E6%9C%83%E8%87%AA%E5%B7%B1%E9%80%B2%E5%8C%96%E7%9A%84_Agent\"><\/span><strong>When you are no longer following a human being, but an Agent who reads the news, places orders, and evolves on his own.<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If the first revolution transformed \"order takers\" from internet celebrities into productized financial commodities, then the key word of the second revolution is AI Agent; it seems that this revolution is now advancing in three different paths simultaneously.<\/p>\n<p>Path 1: The AI Bot itself becomes the object to be followed.<\/p>\n<p>In the past, only human beings were listed on the marketplace. Now, there are \"AI strategy robots\" directly listing orders on the Marketplace. The Algorithm Intelligence built into Cryptohopper, a well-established automated trading platform, automatically switches between multiple AI strategies based on market conditions (trend strength, volatility, volume); 3Commas integrates signal robots with SmartTrade in depth; WunderTrading even directly combines AI automated trading and order-following trading into one platform. WunderTrading even directly combines \"AI automated trading\" and \"order following trading\" into one hybrid product. The significance of this is that what you subscribe to is no longer someone's trading intuition, but a 24-hour uninterrupted, emotionless and offline algorithm.<\/p>\n<p>Path 2: AI as an evaluator of order takers<\/p>\n<p>When the number of order takers on the platform exceeds 100,000, the retail investors actually do not have the ability to screen by themselves. Therefore, AI has risen from the executive level to the decision-making level: the Aurora AI system launched by Bybit will automatically classify the order takers on the platform into groups with different risk attributes, such as \"high-yield pools\", \"stable pools\", and \"high-frequency pools\", etc.; OKX goes one step further by allowing retail traders to describe their own needs in natural language (e.g., \"I am looking for BTC order takers whose monthly fluctuation does not exceed 15% and whose annualized value exceeds 30%\"), and AI directly completes the matchmaking. OKX goes one step further by allowing retail investors to describe their needs in natural language (e.g. \"I'm looking for a BTC broker with monthly volatility of no more than 15% and annualized value of more than 30%\"), and the AI directly completes the matchmaking. This model is essentially an \"encrypted version of an AI consultant\".<\/p>\n<p>Path 3: LLM Agent directly takes over trading decisions<\/p>\n<p>This is one of the newest and most disruptive paths. In November 2025, Bitrue, a mid-sized exchange, took the lead in integrating GPT-5, Gemini, and Claude, three mainstream large-scale language models, directly into its platform trading engine, allowing AI to analyze the market, draw up its own strategies, and place its own orders for execution. The Data Science Laboratory of the University of Hong Kong (HKUDS) has open-sourced the AI-Trader project on GitHub, providing a complete Agent-Native trading framework that can be synchronized across platforms and supports one-click order following. At the lower level of infrastructure, Ethernet's EIP-7702 upgrade proposal was passed, which is designed for \"AI agent restricted authorization transactions\", allowing agents to place orders autonomously within predefined risk parameters, without the need for a human to re-sign every transaction.<\/p>\n<p>Together, these three paths paint a clear picture of the future of cryptocurrency. The future of retail trading is a set of AI agents powered by LLM that can read news, parse chained data, and dynamically adjust strategies, and the role of the order taker is being diluted.<\/p>\n<p><img class=\"lazyload\" decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271800%27%20height%3D%271120%27%20viewBox%3D%270%200%201800%201120%27%3E%3Crect%20width%3D%271800%27%20height%3D%271120%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-orig-src=\"https:\/\/witology.com.tw\/wp-content\/uploads\/2026\/04\/tech_AI-img-3.png\" \/><\/p>\n<p><em>Figure 3\uff5cThree trends in the convergence of AI \u00d7 order trading: from strategy shelving and matching to agent autonomy.<\/em><\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E7%9C%8B%E4%BC%BC%E7%B9%81%E6%A6%AE%E4%B8%8B%E7%9A%84%E4%B8%89%E5%80%8B%E8%AD%A6%E8%A8%8A\"><\/span><strong>Three Warning Signs of Seeming Prosperity<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Behind any wave of rapid-explosion financial innovation, there are underestimated risks, and AI order following is no exception. Here are at least three concerns to be aware of in advance.<\/p>\n<p>Warning One: The Herd Effect is Institutionalized and Amplified<\/p>\n<p>Academic skepticism about \"follow-the-leader\" trading has long been studied and warned about, and a study published in the journal Applied Economics in 2024, using data from the Korean Stock Exchange, confirmed that when a principal trader engages in a \"pump-and-dump\" operation, follow-on buying by other investors significantly magnifies the trader's profits, and that this behavior is even more pronounced in emerging markets. This behavior is even more pronounced in emerging markets. The design of follow-the-sun trading is essentially to systematize this \"retail follow-the-sun\" from self-development. When an AI trader has tens of thousands of followers at the same time, every order it places is tantamount to triggering a small capital shock. This is a boom in a bull market, but a disaster in a bear market.<\/p>\n<p>Warning #2: AI homogenization creates a new type of flash crash risk<\/p>\n<p>When most of the AI trading agents in the market are reading the same news feeds (CoinDesk, Cointelegraph), the same chained data (Nansen, Arkham), and using similar large-scale linguistic models (GPT-5, Claude, Gemini) to make decisions, their signals will inevitably be highly correlated. Once the market turns, all the AI agents may stop their losses \"at the same time\", or even short \"at the same time\", resulting in an algorithmic flash crash that has already occurred in traditional financial markets; only this time, it is happening in the crypto market at a much faster pace and on a much larger scale, which is one of the most worrying issues for the regulators at the moment.<\/p>\n<p>Warning #3: The Inherent Distortion in the Incentive Structure of Order Takers<\/p>\n<p>In most of the platforms, the income of the lead follower comes from the \"commission of the follower's profit\". Only when the follower makes money will the lead get paid. This design hides the incentive of \"profit and loss mismatch\", which leads to the trader's motivation to \"increase the short-term winning rate and delay recognizing the loss\", because the short-term winning rate determines how many new followers he can attract, and before the loss is really realized, he may have already earned enough commission and switched to a new platform. This in the traditional foreign exchange margin trading follow orders market has appeared countless times the script, and even more will lead to a systematic Ponzi scheme.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E7%95%B6%E4%B8%96%E7%95%8C%E8%BD%89%E5%90%91AI%E8%B7%9F%E5%96%AE%EF%BC%8C%E6%9C%AC%E5%9C%9F%E4%BA%A4%E6%98%93%E6%89%80%E8%8B%A5%E4%B8%8D%E8%B7%9F%E4%B8%8A%EF%BC%8C%E4%B8%80%E8%88%AC%E4%BA%A4%E6%98%93%E8%80%85%E6%9C%83%E8%BD%89%E5%90%91%E4%BD%95%E6%96%B9\"><\/span><strong>As the world turns to AI followers, where will the average trader turn if the local exchanges don't keep up?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Looking back at the Taiwan market, local exchanges (MAX, ACE, and Currency Trust) have mainly focused on the basic functions of fiat currency deposit\/withdrawal and spot trading in the past, and have not yet laid out much in the way of follow-on trading and AI tools. In the future, when local traders realize the value of order trading, they will bypass local platforms and flock directly to international exchanges such as Bybit, Binance, and Bitget, which have complete product lines. Therefore, if local exchanges don't complete the productization of order trading within two years, their market share will be further eroded in the future.<\/p>\n<p>On the other hand, the regulatory gap is also a more worrying issue. When an AI agent places an order on its own and causes a retail trader to lose money, does the responsibility belong to the order taker, the platform, the AI model developer, or the retail trader himself? There is no clear answer to this question in the U.S. SEC, the European Union's ESMA, or the Taiwan Financial Supervisory Commission (TFSC). In the window of \"unclear responsibility, no regulation yet, and products already exploding\", the gap between the industry and regulation will only widen.<\/p>\n<p>To summarize, the cryptocurrency market is moving from the \"era of artificial speculation\" to the \"era of AI system operation\". For traders, there are both opportunities and traps and hidden dangers ahead, and in this AI-induced world, technology and regulation may be the engine and brakes of cryptocurrency market on the way to maturity.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E5%BB%B6%E4%BC%B8%E9%96%B1%E8%AE%80\"><\/span>Extended Reading<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><a href=\"https:\/\/witology.com.tw\/tech\/\">More Technology Industry Trend Analysis<\/a><\/li>\n<li><a href=\"https:\/\/www.coingecko.com\/\" target=\"_blank\" rel=\"noopener\">CoinGecko: Cryptocurrency Market Real-Time Data<\/a><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>As the global crypto order-following market grows to over $47.4 billion by 2025, AI large-scale language models are moving from spectator to protagonist. Institutions are accumulating long term positions through Bitcoin ETFs, while retail traders are automatically following orders 24\/7 through AI agents. The symbiosis between the two is the first ever \"division of labor\" in the history of the crypto market, and it will redefine who can profit from the market.<\/p>","protected":false},"author":5,"featured_media":7408,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"rank_math_title":"AI\u8ddf\u55ae\u4ea4\u6613\u7206\u767c\uff01\u52a0\u5bc6\u5e02\u5834\u7d50\u69cb\u5927\u985b\u8986","rank_math_description":"AI\u8ddf\u55ae\u4ea4\u6613\u6b63\u91cd\u5851\u52a0\u5bc6\u5e02\u5834\u683c\u5c40\uff0c2025\u5e74\u5168\u7403\u5e02\u5834\u898f\u6a21\u5df2\u9054474\u5104\u7f8e\u5143\u3002\u6a5f\u69cb\u8cc7\u91d1\u900f\u904eETF\u7a69\u5b9a\u5e03\u5c40\uff0c\u6563\u6236\u85c9AI agent 24\u5c0f\u6642\u81ea\u52d5\u8ddf\u55ae\u6436\u6ce2\u52d5\u8ca1\uff0c\u96d9\u8ecc\u4e26\u884c\u9a45\u52d5\u5e02\u5834\u8d70\u5411\u6210\u719f\u3002\u60f3\u638c\u63e1\u9019\u6ce2\u8da8\u52e2\uff0c\u7acb\u5373\u6df1\u5165\u4e86\u89e3\uff01","rank_math_focus_keyword":"AI\u8ddf\u55ae\u4ea4\u6613","rank_math_robots":"","footnotes":""},"categories":[52],"tags":[299,313,314,315,316],"class_list":["post-7409","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech","tag-etf","tag-313","tag-ai","tag-315","tag-316"],"_links":{"self":[{"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/posts\/7409","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/comments?post=7409"}],"version-history":[{"count":6,"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/posts\/7409\/revisions"}],"predecessor-version":[{"id":7572,"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/posts\/7409\/revisions\/7572"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/media\/7408"}],"wp:attachment":[{"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/media?parent=7409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/categories?post=7409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/witology.com.tw\/en\/wp-json\/wp\/v2\/tags?post=7409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}