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Top Platforms for Automated Crypto Trading with AI Integration – ASCN.ai Side Event in Dubai

Nathaniel “Nathan” Sinclair by Nathaniel “Nathan” Sinclair
November 10, 2025
in Press Release
Top Platforms for Automated Crypto Trading with AI Integration - ASCN.ai Side Event in Dubai

Compare leading AI-integrated trading platforms offering smart automation, risk management, and real-time crypto market insights at the ASCN.ai Side Event in Dubai 2025

On 30 October, Dubai will once again become the epicentre of the crypto world. After the major Blockchain Life conference, a private side event will bring together traders, analysts and founders to discuss how crypto AI chatbots, AI crypto agents and on-chain intelligence tools are changing the game in Web3. This isn’t just a networking party: real case studies will show how powerful AI solutions for crypto trading analytics are helping users generate profit and uncover market insiders.

The organisers promise elite networking and a charged atmosphere among major investors, crypto-fund bosses and tech developers behind top AI platforms. One of the main topics will be ASCN.ai — a top AI platform for automated crypto trading with AI integration and real-time data. The event will be held at a secret Dubai location, only revealed to ticket holders. Attendees will enjoy an evening of live discussions, real user case breakdowns and direct product demos by the ASCN team.

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The core aim of the gathering is to demonstrate how AI platforms for cryptocurrency analysis now replace manual research and accelerate decision-making. The focus isn’t on theory but on real profitable strategies, where users of AI tools for managing crypto investments are already making money. For traders, this is a rare opportunity to glimpse tech that was once limited to hedge funds.

ASCN.ai – Top crypto AI chatbots

ASCN.ai is the best crypto AI chatbot platform according to independent reviews and online ratings. It’s the first and only AI trained exclusively on Web3 data: it accesses blockchain nodes and identifies wallet owners—whether retail, traders or funds. With this edge, it provides forecasts with 81% accuracy, compared to just 18% for standard LLM models lacking Web3 access.

Here’s a case study: a client made +$30,000 profit in 3 days with ASCN AI assistant. A trader used ASCN v1.2 to find the optimal entry point for Mantle (MNT). The AI analyzed more than 50 metrics, from on-chain data and whale activity to market sentiment and technical signals. ASCN provided precise entry and exit signals, the user opened a trade, resulting in $29,479 profit and 124% ROI in just three days. You can study the case in more detail here.

ASCN v1.2 combines technical, fundamental, and on-chain analysis, helping traders see what is hidden from regular charts and make decisions ahead of the market.

The Best Crypto Analysis Strategies with AI Agents

Imagine you want to analyse a specific token quickly. Instead of sifting through links and charts manually, you ask a crypto AI chatbot to “analyse BONK right now.” ASCN.ai instantly shows you a chart, breaks down the situation in plain language and saves you hours of work. By contrast, a generic AI model like ChatGPT might give a vague answer—and you’d still spend time parsing a chart yourself.

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BONK chart analysis with ASCN.ai
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BONK chart analysis with ChatGPT

The ASCN.ai ecosystem features five key tools, each aimed at a specific task:

• No-code AI Bot Builder — create custom bots and AI agents for trading, analytics or business, without programming.

• AI Automation Suite — assign your assistant to build portfolio reports, wallet-activity summaries or set token-movement alerts—all in minutes.

• Top AI Crypto Agents — smart assistants tailored for token analysis, entry-point detection, funding-rate monitoring and price-movement prediction.

• Blockchain & On-Chain API — deep access to processed blockchain-node data; integrate into apps, analytics platforms or internal tooling.

In unison, this platform gives users AI tools for real-time crypto market analysis and an edge previously reserved for institutional teams.

Also you have access to the API and a constructor that allows you to create your own unique AI assistant. You can teach your token analysis strategy and share the results with the community. A white-label is available for $9,999, which allows you to implement Ascn on your website on a turnkey basis. Implementation takes place within a week, and you subsequently receive 100% of each sale.

For $29/month, you get a full AI assistant capable of deep analysis, risk-alerts, decision-support and hundreds of saved hours. Many users call this the best AI service for crypto trading on the market. We recommend testing its functions – at the moment it is the best AI tool for market analysis. Try the platform now—with promo code ASCN50 for +50% extra queries.

Conclusion

The crypto market is moving faster than ever—and winners are those who can analyse deeper, act quicker and see patterns others miss. ASCN.ai transforms data into decisions, and decisions into profits. If you want to lead the trend rather than follow it, you should be in Dubai on 28 October. Register for the event, meet the ASCN team, and get access to the future of crypto analytics https://ascn.ai/crypto-event-dubai

Disclaimer: The text above is an advertorial article that is not part of theccpress.com editorial content.
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Trump-Backed WLFI Token Drops Amid Profit-Taking

Nathaniel “Nathan” Sinclair

Nathaniel “Nathan” Sinclair

Nathan Sinclair is a crypto journalist and researcher with more than 8 years of experience reporting on blockchain technology, decentralized finance, and market adoption. At Theccpress.com, he brings a human-centered lens to crypto storytelling — blending market data with narratives about how blockchain impacts people, businesses, and economies. Nathan began his career in financial reporting before shifting toward fintech and Web3 coverage, giving him a strong foundation in both traditional markets and crypto-native ecosystems. He has contributed to global publications, covered international summits, and interviewed founders, regulators, and developers. His work is trusted for accuracy, context, and clarity — qualities that build both credibility and authority in the rapidly evolving Web3 space.

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