Decentralized trading is evolving rapidly, and platforms are racing to balance speed, transparency, and usability. TRUE, a Solana-based AI-powered derivatives exchange, is positioning itself as a next-generation solution by combining CEX-level performance with on-chain trust.  In this interview, Benjamin Bilski discusses how TRUE stands out from the competition and its long-term vision. He also explores […]Decentralized trading is evolving rapidly, and platforms are racing to balance speed, transparency, and usability. TRUE, a Solana-based AI-powered derivatives exchange, is positioning itself as a next-generation solution by combining CEX-level performance with on-chain trust.  In this interview, Benjamin Bilski discusses how TRUE stands out from the competition and its long-term vision. He also explores […]

Exclusive: How $TRUE aims to power the next generation of AI-guided trading

6 min read

Decentralized trading is evolving rapidly, and platforms are racing to balance speed, transparency, and usability. TRUE, a Solana-based AI-powered derivatives exchange, is positioning itself as a next-generation solution by combining CEX-level performance with on-chain trust. 

In this interview, Benjamin Bilski discusses how TRUE stands out from the competition and its long-term vision. He also explores its approach to solving liquidity fragmentation and the AI safeguards needed in the industry.

How does TRUE stand out?

Q: “Just as search evolved into ChatGPT, trading is evolving into AI-guided experiences.” How is TRUE leveraging artificial intelligence?

A: At TRUE, AI is set up to act like your assistant: it provides information and helps you understand risks and leverage, but the final decision is always on you. That’s the only right way to use AI in a business like that. We’re not just using AI for its hype.

Q: How does TRUE differentiate itself from competitors like dYdX or Hyperliquid — what is the moat that others cannot easily replicate?

A: TRUE’s unique standpoint is that it combines CEX-level speed on Solana and pairs it with AI guidance. That makes trading easier for newcomers and adds on-chain copy trading, where execution is fully verifiable. 

Additionally, our tokenomics commits 75% of fees to buybacks, directly linking growth to value. Others might have similar features, but the full package that includes speed, AI, copy trading, and token-aligned economics makes TRUE hard to replicate.

Q: With AI increasingly integrated into trading, what systemic risks do you see if most platforms adopt similar AI-driven execution models?

A: The real risk with AI in trading is that everyone starts following the same signals and patterns. If everyone does the same thing, that might bring unprecedented consequences for the markets. Another risk is people blindly trusting a machine, not relying on their preferences, experiences, and instincts, all of which play a crucial role in trading. 

That’s why at TRUE, we’ve built our AI to work more like a co-pilot than an autopilot. It explains what it’s doing and guides you, but at the end of the day, you’re making the call. The most important safeguard is transparency — traders should always understand how the AI interacts with risk and execution, instead of just hoping it gets things right.

The $TRUE token

Q: TRUE will be launching the $TRUE token on September 10. Could you please tell us about the token launch and its utility?

A: The $TRUE token sale takes place on September 10, and its first stage will be held in the Dutch Auction format. This way, we can ensure fair price discovery and allow early participants to join at a much more affordable price range than in the final round.

The true value of $TRUE is that it’s a functional part of the ecosystem, not a speculative asset. Its utility is built directly into the platform. Holders of $TRUE will get discounted trading fees, access to our AI assistant that helps traders in real time, additional benefits, including premium access to top traders.

Up to 75% of the platform fees will be reinvested in the TRUE Ecosystem Fund to provide liquidity support, community incentives, marketing, and partnerships.

$TRUE is not a meme token or a passive instrument. It’s designed as the economic engine for the entire platform, ensuring that community growth directly drives the growth of the exchange itself.

Q: What revenue share does the project plan to generate outside of trading fees — for example, through AI services, subscriptions, or infrastructure products?

A: Trading fees will remain the core business model, but we don’t want to rely on just one revenue stream. TRUE is adding revenue from AI services, copy-trading features, and even licensing parts of our tech to partners. It’s a layered model that strengthens the project and gives the token more utility.

Solutions to scaling DeFi 

Q: Given the industry’s recurring issues with transparency and trust, how do you see copy-trading and social trading models evolving in DeFi?

A: DeFi can fix the transparency problem in copy trading. On-chain records mean you can verify a track record in real time. TRUE is pioneering this with on-chain copy execution, so followers get trades at the same price and time as leading traders, removing the trust gap.

Q: Many DeFi trading platforms face liquidity fragmentation across chains. What structural changes are needed to address this industry-wide challenge?

A: Liquidity fragmentation is one of the biggest issues DeFi needs to address immediately. The industry needs to move in two directions simultaneously: first, building aggregation layers that can actually pull liquidity across chains in real time, and second, agreeing on unified settlement standards so that liquidity can “speak the same language” no matter where it originates.

That’s exactly why we chose Solana as the foundation for TRUE — its speed and composability allow us to experiment with real-time aggregation while still planning for interoperability. Liquidity shouldn’t feel like dozens of disconnected pools in the long term. It should feel like one global order book where traders can access depth seamlessly, no matter their chain.

Q:  As perpetual contracts dominate crypto derivatives, but risk blowups remain common, what safeguards should the industry adopt at a protocol level?

A: Perpetuals are a popular tool, for sure, but without proper risk management, they can blow up fast. At TRUE, we’ve taken this seriously, building a framework that constantly adapts to asset risk and liquidity so traders and the system stay protected.

Q: As retail access to perpetual futures is often criticized, should these instruments be democratized or limited to professional traders?

A: They should be democratized, but with oversight. If you ban retail access, they’ll end up on risky, unregulated platforms. The smarter option is to make trading safer with a clearer user experience, built-in risk checks, and full transparency.

That’s why we built TRUE’s AI assistant as a guide that can help people understand leverage and risks before they hit the trade button.

Q: While ZK-rollups and Verkle commitments are gaining traction, do you think these technologies will become industry standards or remain niche solutions?

A: ZK-rollups are already proving themselves with Ethereum scaling, and I believe they’ll gain even more momentum. Verkle commitments might take longer, but they’re key for compressing state and boosting transparency. For us at TRUE, these aren’t just buzzwords — if a technology makes trading faster or more transparent, it will naturally become our standard. We are also proud to be one of the first to implement these into a real product on Solana. 

Q: You’ve outlined a three-year roadmap. Which key milestones must be achieved to keep the project attractive for investors over the next 12 months?

A: In the next 12 months, our focus will be on users and the product. We plan to launch a closed beta, copy trading and AI guidance features, top-tier Solana DEX integrations, and airdrop campaigns to reward early adopters. Hitting these milestones is how we build credibility, strengthen the community, and prepare for broader adoption.

Market Opportunity
null Logo
null Price(null)
--
----
USD
null (null) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Top NYC Book Publishing Companies

Top NYC Book Publishing Companies

New York City has been the epicenter of American publishing for generations, but “NYC publishing” isn’t just one lane. Today’s landscape includes two very different
Share
Techbullion2026/02/06 14:02
Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

MONTPELLIER, France–(BUSINESS WIRE)–Regulatory News: Sensorion (FR0012596468 – ALSEN) a pioneering clinical-stage biotechnology company which specializes in the
Share
AI Journal2026/02/06 14:45
AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI crypto trading is everywhere, and every YouTube guru claims their bot mints money while they sleep. Sounds dreamy, right? However, most don’t discuss the full story, the wild profits possible, and the lurking pitfalls. As someone obsessed with the intersection of artificial intelligence and digital assets, let me pull back the curtain on the realities of algorithmic trading in the crypto jungle. Here’s what nobody tells you: 87% of retail traders using automated systems lose money within their first year. The marketing materials show cherry-picked results. The testimonials come from paid affiliates. But here’s the twist. The remaining 13% who succeed aren’t just lucky. They understand something the majority misses entirely. The Reality Behind the Hype The crypto world loves success stories. You’ve probably seen them. “I made $50,000 in three months using this bot.” What they don’t mention? The $200,000 they lost by testing seventeen other systems first. Real talk: most trading algorithms fail because they’re built for perfect market conditions. Crypto markets are anything but perfect. Think about it like this. Would you trust a Formula 1 car to handle rush hour traffic? That’s essentially what most people do with their trading bots. Why Smart Money Uses Crypto AI Tools Differently Professional traders approach crypto AI tools with surgical precision. They don’t expect miracles. They expect consistent, measured results. The difference lies in understanding what these tools actually do well: • Risk management automation • Pattern recognition at scale • Emotional bias elimination • 24/7 market monitoring • Portfolio rebalancing Notice what’s missing from that list? Get-rich-quick schemes. The smartest crypto AI tools focus on protecting capital first. Profits come second. This mindset separates winners from losers. Here’s something interesting. 9-figure media companies track these patterns religiously. They know which crypto AI tools produce sustainable results versus flashy short-term gains. Professional traders using crypto AI tools typically target 15–25% annual returns. Not 500% monthly moonshots. The Startup Connection Most People Ignore AI for startups isn’t just about building the next ChatGPT. Many successful companies use AI to optimize their crypto treasury management. Smart startups integrate crypto AI tools into their financial operations early. They automate routine decisions. They reduce human error. They scale their trading operations without hiring armies of analysts. But here’s where it gets interesting. The best AI for startup applications in crypto aren’t the obvious ones. Consider automated tax reporting. Or real-time compliance monitoring. Or treasury optimization across multiple blockchains. These unsexy applications generate more consistent profits than flashy trading algorithms. AI for startups in the crypto space succeeds when it solves boring problems efficiently. Not when it promises unrealistic returns. The most successful AI for startups implementations focus on operational efficiency. They reduce costs. They minimize risks. They free up human resources for strategic decisions. Learning from Top AI Start-Ups Top AI start-ups in the crypto space share common characteristics. They prioritize transparency over marketing hype. Look at successful top AI start-ups like Chainalysis or Elliptic. They don’t promise easy money. They provide essential infrastructure. The best top AI start-ups focus on solving real problems: • Market data analysis • Security monitoring • Regulatory compliance • Portfolio analytics • Risk assessment These top AI start-ups understand something crucial. Sustainable businesses solve actual problems. They don’t just ride hype cycles. 9-figure media outlets consistently highlight these fundamental companies. They ignore the noise. They focus on substance. Many top AI start-ups actually discourage retail trading. They know the odds. They’ve seen the casualties. Instead, successful top AI start-ups build tools for institutions. Banks. Hedge funds. Companies with proper risk management systems. The Hidden Costs Nobody Discusses Using crypto AI tools costs more than subscription fees. Much more. First, there’s the learning curve. Most people spend months figuring out proper settings. During this time, they’re paying tuition to the market. Second, there’s infrastructure. Reliable crypto AI tools require stable internet, backup systems, and proper security measures. Third, there’s opportunity cost. Time spent tweaking algorithms could be spent learning fundamental analysis. The real cost? Most people using crypto AI tools trade more frequently. Increased trading usually means increased losses. Think about 9-figure media companies again. They understand that technology amplifies existing skills. It doesn’t replace them. Smart Implementation Strategies Successful crypto AI tools users follow specific patterns: • Start with paper trading • Use position sizing rules • Set strict stop losses • Monitor performance weekly • Adjust strategies quarterly They treat crypto AI tools like any other business tool. With respect. With caution. With realistic expectations, startup applications work similarly. They augment human decision-making. They don’t replace it. The most successful AI for startups implementations in crypto involve human oversight at every level. Algorithms suggest. Humans decide. What Actually Works Here’s what separates successful crypto AI tools users from everyone else: They focus on consistency over home runs. They understand that small, regular gains compound better than occasional big wins followed by devastating losses. They apply AI principles to their approach for startups. They iterate quickly. They fail fast. They learn constantly. They study top AI start-ups for inspiration. But they don’t try to replicate their exact strategies. Most importantly, they never risk money they can’t afford to lose. The crypto market will humble anyone. AI doesn’t change this fundamental truth. Your success with crypto AI tools depends more on your discipline than the sophistication of your algorithms. Remember: the house always has an edge. Your job is to find where that edge doesn’t apply. That’s the secret they won’t tell you. AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/09/18 23:20