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By June, TechFlow As soon as Musk's compensation plan was announced, traders' fingers were already flying on the keyboard. But they are not looking to buy Tesla stock, but to search for relevant questions in the prediction market. In their opinion, this news can extend a variety of prediction themes: Who will be the world's first trillionaire? When will Musk break through a trillion net worth? What is the direction of Tesla's market capitalization this quarter? In which city will Robotaxi be the first to land? This is the current daily routine for prediction market traders: behind a piece of news, there are often multiple themes and opportunities hidden on multiple prediction platforms. However, the reality is that traders need to look for relevant markets on multiple platforms such as Polymarket, Kalshi, Limitless, etc., to compare odds and monitor price movements. From this incident alone, it can be seen that there is a shortage of the market. If the relevant prediction market can be automatically matched according to the news content, the trading efficiency will be greatly improved; In turn, if you can quickly grasp the key points and place precise bets after the news is released, the winning rate will increase significantly. This multi-platform coexistence poses unprecedented challenges for traders: finding the best odds requires switching between multiple platforms, capturing arbitrage opportunities while monitoring price differences across different platforms, and keeping track of the latest market news for comprehensive information. This fragmented information not only consumes time and effort but also hinders traders from making optimal decisions. Trading volume catches up with memes, but the information is noisier Remember the meme coin explosion a few years ago? In 2024, the Pumpfun launch platform has risen rapidly. At that time, new coins were emerging one after another, and the speed of issuance was dizzying. With such a large and rapidly growing market, traders are quickly overwhelmed, and it becomes extremely impractical to manually track each new project. In the midst of this chaos, trading robots and aggregation platforms emerged. They help users sift through information, identify opportunities, and streamline complex trading processes. Now this scene is predicting a repeat in the market. On September 8, the prediction market had a single-day trading volume of $270 million, with Kalshi dominating 80%, equivalent to 38% of Solana's overall meme coin trading volume. The prediction market is gaining momentum and is starting to attack the meme coin market. As more prediction market platforms emerge, traders are once again facing information overload. When supply exceeds human processing capacity, aggregation and automation tools become a necessity. This is a process that all fast-growing crypto ecosystems go through. At this moment, the prediction market is standing at this turning point. The giants compete for hegemony, and the heroes compete for deer The popularity of the prediction market can actually be seen from a few months ago. In May, the U.S. Commodity Futures Trading Commission (CFTC) withdrew its appeal against Kalshi. In the same month, Kalshi began supporting cryptocurrency deposits, including various assets such as USDC, RLUSD, SOL, BTC, WLD, and XRP, providing users with funding options beyond traditional methods. In June, Kalshi officially became a unicorn when it received a $185 million funding round led by Paradigm in Series C, valuing it at $2 billion. At the same time, Polymarket also reported that it is about to raise about $200 million at a valuation of more than $1 billion, and both giants have ushered in the favor of capital. However, Polymarket's journey to the United States has been quite winding. During 2022, the platform was fined $1.4 million by the CFTC for operating an unregistered binary options marketplace and was forced to restrict access to U.S. users. Just as he was famous for accurately predicting the results of the 2024 U.S. presidential election, the FBI suddenly came to his door eight days later and searched the computer and mobile phone of founder Coplan. The plot took a turn during the Trump administration. The judicial investigation came to an abrupt end, and Polymarket officially gave the green light to the CFTC on September 4 by acquiring QCEX, a "return ticket". With the dual blessing of the loosening of the regulatory environment and capital boost, it has created an excellent soil for the outbreak of the prediction market track. At this moment, the competitive landscape is also quietly changing. Kalshi performed well after recruiting John Wang, a well-known KOL in the crypto industry, as the Head of Crypto. Since August 25, its weekly trading volume has begun to surpass Polymarket, and the competition between the two giants has become more and more intense. At a time when the giants are vying for supremacy, new contenders are already on the move: MyriadMarkets (founded by Farokh, founder of Rug Radio and Decrypt Media), Truemarkets, HedgehogMarket, DriftProtocol, and Limitless, among others. Prediction markets are rapidly reshaping, and these platforms are undoubtedly looking for a piece of this booming market. Just as the "group meme swandance" was spawned back then, from the early Bananabot to the GMGN platform to tools like Axiom, the prediction market war is creating huge market demand for aggregators. The prototype of the aggregator is emerging The pain points mentioned at the beginning have given rise to a number of innovative solutions. While most of them are still in beta, they have shown great potential. Developed by @rileyxcook, monitorthesituation.lol enables real-time order book display across platforms and automatically matches similar markets on Kalshi, Limitless, and Polymarket, allowing traders to spot price differences at a glance. Verso Trading has built a smarter news engine that consolidates duplicate news headlines into a single event and provides impact and relevance scores. This allows users to see which news is truly impacting Kalshi's contract price, and the platform is also about to launch a low-latency real-time alert feature that notifies users as soon as news or tweets may impact the market. At just 16 years old, engineer @agpkeleta created Aerospace. This is a prediction market trading terminal equipped with real-time news feeds that accurately match alpha information to relevant markets. This allows traders to quickly snipe market opportunities based on confirmed outcomes before the market resolves to "yes." So far, the website only supports Polymarket, and Kalshi will be available soon. These tools all solve the same core problem, which is to integrate news information with relevant prediction markets into a unified platform to facilitate complex trading. While still in its early stages, these beta versions have proven the aggregator's value proposition. Looking ahead: Greater opportunities When there is a gap in the market, opportunities come. The rise of prediction market aggregators is not accidental but a corollary of the thriving ecosystem. A thriving ecosystem needs diversified infrastructure support, and we have already seen this pattern during the Meme coin explosion a few years ago. When the core asset classes mature, tools, analytics platforms, and automation solutions have sprung up around them, eventually forming a complete ecological closed loop. It is possible that today's prediction markets are at the same tipping point. With the emergence of more platforms and the expansion of the user base, the demand for specialized tools will only become stronger. Aggregators may just be the beginning. We are likely to see more innovations, such as cross-platform arbitrage robots, AI-powered market analysis tools, institutional-grade risk management systems, and more. Prediction markets are no longer just "bets" but are evolving into a complex trading ecosystem that requires specialized tools and in-depth analysis. And those projects that can provide the core infrastructure during this transition period are likely to become the most important components of this emerging ecosystem. Easter egg: Since it's a prediction market, why not let AI also predict what the future will hold. The author asked AI to boldly look forward to the future of this track, and here is its answer. In the short term (6-12 months): The aggregator war is about to begin Polymarket vs Kalshi Upgrade: The two companies will launch more similar marketplaces and compete directly against each other, and users will see fierce price battles on different platforms for the same event The new platform will "copy homework": frantically copying popular markets, resulting in serious homogenization Medium term (1-2 years): API integration becomes standard: Successful aggregators force platforms to open better APIs or lose traffic Institutional players enter: Hedge funds and quantitative teams will start using prediction market arbitrage on a large scale, reducing the advantage of retail investors Vertical segmentation emerges: prediction markets specializing in sports, politics, and crypto will rise, and general platforms will begin to differentiate Long term (3-5 years): Platform reshuffle: There will only be 2-3 mainstream platforms left, and the others will either be acquired or die Aggregators become "super entry-on-rams": The most successful aggregators may launch their own marketplaces, becoming both channels and platforms AI-driven predictions have become mainstream: AI analyzes news, social media data to automatically place bets, and manual predictions become a niche hobby The boldest predictions: Prediction market aggregators of the future will not only show prices, but also provide financial instruments such as leverage, options, portfolios, etc., just like today's brokers. At that point, prediction markets really became a full-fledged financial category. Which prediction do you think is most likely to come true?