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PlanX launched with a 24-hour trading volume exceeding $12.9M: AI-driven on-chain execution begins to reshape trading paradigms, with the next day's trading volume surpassing $75M

Core Viewpoint
Summary: PlanX launched with a 24-hour trading volume exceeding $12.9M, AI-driven reconstruction of on-chain execution paradigms, and a limited-time zero-fee trading experience starting in April.
Industry Express
2026-04-01 17:00:01
Collection
PlanX launched with a 24-hour trading volume exceeding $12.9M, AI-driven reconstruction of on-chain execution paradigms, and a limited-time zero-fee trading experience starting in April.

On March 30, 2026, at 17:00 (UTC+8), the AI-driven on-chain execution protocol PlanX officially launched public trading. Shortly after going live, the platform's trading activity rapidly increased:

• The first day's 24-hour trading volume exceeded $12.9M

• The second day's 24-hour trading volume further surged to $75M

In the current competitive on-chain derivatives space, PlanX's execution-centric architecture has achieved preliminary validation in a real market environment, demonstrating strong user attraction and trading capacity.

Behind $12.9M: Execution Efficiency as the Core Variable

Unlike traditional on-chain trading systems, PlanX places "execution" at the core from the underlying architecture. During its first day of operation, its execution layer exhibited the following key features:

  • Off-chain computation + On-chain settlement collaborative mechanism

    Significantly enhances execution efficiency while ensuring verifiability, resulting in a smoother trading experience.

  • Strict price constraints and execution fairness design

    All transactions are based on on-chain verifiable rules, avoiding abnormal price deviations and ensuring transparent and consistent execution results.

  • Non-custodial architecture ensures fund security

    User assets are always controlled by smart contracts, and the platform does not touch the funds, thereby reducing systemic risk from a structural perspective.

In a high-frequency volatile environment, PlanX achieves execution smoothness close to centralized platforms while retaining on-chain transparency and security features.

From "Trading" to "Execution": Structural Differences of PlanX

PlanX does not position itself as a traditional trading platform but instead builds a layer of execution infrastructure aimed at on-chain finance:

  • User behavior is completed through structured execution paths rather than single order interactions

  • Execution logic is driven by rules and models rather than human decisions

  • Liquidity is continuously managed by intelligent mechanisms rather than static orders

Within this framework, trading is no longer the core; execution capability becomes the key variable determining efficiency and outcomes.

0 Fee Phase About to Begin: Further Lowering Participation Barriers

To promote user participation and ecosystem expansion, PlanX will launch a phased incentive from:

📅 April 1, 2026 --- May 1, 2026

  • Opening positions with 0 fees

  • Closing positions at a loss with 0 fees

  • Dynamic fees on profits (linked to execution results)

This mechanism aims to deeply bind platform incentives with user earnings, making the cost structure more reasonable and transparent.

AI Execution: The Next Growth Engine

PlanX's core direction goes beyond execution optimization, further introducing AI:

  • AI Strategy Builder will participate in real market execution

  • Agent Builder supports natural language strategy construction

  • Smart Staking Pool (Vault) dynamically governs liquidity and risk through vertical models

As AI models gradually take over execution paths, on-chain trading will shift from "human-driven" to "model-driven."

Conclusion

The first day's 24-hour trading volume of $12.9M is a market response regarding execution efficiency and architectural choices.

As on-chain finance enters the automation and high-frequency phase, execution capability is becoming the new competitive core.

What PlanX is attempting to build is a layer of execution infrastructure that "transforms intent into results."

Execution Beyond Human

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