When AI begins to play a deep role in trading decisions, does the trading system itself have the structural capacity to withstand this change?

Article author and source: 1024EX

According to ME News, the 1024EX Testnet Alpha officially launched on December 31st (UTC+8). The first batch of whitelisted users are now able to use the entire 1024 ecosystem, including core functionalities such as 1024EX, 1024 Square, the 1024 Quantitative Module, and prediction markets. The whitelist application channel remains open, and subsequent users will be added in batches. https://www.1024ex.com

Over the past few years, the core problem that decentralized exchanges (DEXs) have addressed is "how to move transactions on-chain".

Today, the market has entered the next stage— who can become the default entry point for the next generation of traders in the AI ​​era?

In today's highly information-driven world of social media, research platforms, and trading terminals, more and more trading decisions are being generated or significantly influenced by AI . From market analysis and strategy backtesting to risk assessment, AI is becoming the primary reference source for the vast majority of traders. 1024EX emerged against this backdrop.

It does not attempt to define itself as "a high-end terminal for use by a small number of professional institutions," but rather is built around a larger proposition:

When AI begins to play a deep role in trading decisions, does the trading system itself have the structural capacity to withstand this change?

I. AI has entered the trading decision-making process, and trading systems are becoming a new bottleneck.

The question today is no longer "whether AI exists," but whether the judgments generated by AI can be effectively executed.

Many retail investors and professional traders are already using AI to accomplish the following tasks:

• Quick summary of market trends and macroeconomic information
• Trading strategies and directional judgment
• Strategy Logic and Conditional Trigger Design

However, on most trading platforms, AI's role often remains at the "advice level." When it actually enters the market, users still need to deal with fragmented product structures, limited order processing capabilities, and execution environments that cannot be automated.

1024EX's design assumption is that as trading decisions are increasingly generated by AI, the trading platform itself must be a "system that can be used by AI," rather than just an interface for humans to click on.

II. AI and quantitative trading are no longer the exclusive domain of a select few: a single platform serves both retail and professional traders.

1024EX's "AI & Quant-Native" does not treat models and strategies as additional features, but rather makes assumptions at the system level:

Automation, conditional logic, and structured risk management will become the norm in trading .

Therefore, 1024EX does not focus on superficial features as its selling point, but rather is designed around the more fundamental trading experience.

Low-latency feedback, stable system behavior, and consistent performance under high volatility and high load conditions.

This leads to an important result:

• For advanced users and quantitative teams, AI-generated strategies and rules can be more naturally mapped to on-chain execution;
• For ordinary retail investors, even without directly writing strategies, they are already indirectly using trading structures influenced or driven by AI, without needing to understand their underlying complexity.

In other words, 1024EX is not about getting everyone to "do quantitative trading," but rather about making the trading behavior of more and more people naturally possess quantitative characteristics .

III. Why this AI-driven trading method is only now becoming valid: The causal relationship of 1024Chain's infrastructure

1024EX is not built on a general-purpose public blockchain, but runs on 1024Chain , which is designed specifically for high-frequency financial scenarios.

The key performance indicators currently disclosed include:

• Average block time: approximately 0.07 seconds
• Peak throughput: 2,000,000+ TPS
• Under comparable conditions, its overall performance is approximately 10 times that of Solana.

The significance of these metrics lies not in being "faster," but in a more fundamental change: for the first time, on-chain transaction systems possess the response density and concurrency stability required to support AI-generated decisions.

When AI outputs conditional and structured decision logic, if the trading system cannot promptly respond to state changes or stably handle concurrent instructions, it will become a bottleneck in the entire chain. The performance characteristics of 1024Chain enable the AI ​​→ Strategy → Execution closed loop to be established on-chain for the first time.

IV. Unified Market Architecture: Ensuring AI's Judgments Are No Longer Fragmented by Product Differences

In most platforms, spot, perpetual, options, and prediction markets are separate modules. Even if AI generates cross-market judgments, they often cannot be fully expressed within a single system.

1024EX's approach is to unify spot, perpetual, options, and prediction markets within the same on-chain architecture .

In this system:

• Spot trading is used for real-time price discovery.
• Perpetual contracts express the expected leverage and cost of capital over a continuous period of time.
• Options express nonlinear risk and volatility structure
• Prediction markets directly incorporate the probability of event outcomes into their trading logic.

This unified structure allows multi-dimensional judgments generated by AI or strategies to be executed directly in the same market, eliminating the need for cross-platform disassembly and reassembly.

V. Multi-Asset PERP: A "One-Stop Global Financial Gateway" in the AI ​​Era

As AI becomes a primary source of information and judgment for traders, the boundaries between asset classes are blurring. Macroeconomic events, interest rate changes, geopolitics, and technology cycles often affect the stock, commodity, and crypto markets simultaneously.

1024EX's multi-asset perp strategy is based on this reality:

• Crypto Asset Spot and Perpetual
• Stock indices and technology stocks
• Precious metals, energy and commodities
• Foreign exchange and interest rate related products

By unifying margin and execution systems, 1024EX allows traders to express AI-generated cross-asset views on the same platform, freeing them from the constraints of traditional account systems and geographical limitations.

VI. From simple order placement to institutional-level execution: Providing complete expressive capabilities for AI-generated decisions

1024EX's trading tools are designed according to one principle: to ensure that judgments generated by AI or strategies can be fully and accurately expressed as trading instructions, rather than being forced to "downgrade" during the execution phase .

With AI deeply involved in trading decisions, a long-overlooked problem is emerging: the vast majority of trading suggestions provided by AI essentially assume that exchanges have mature institutional-level order placement and execution capabilities.

This assumption holds true in traditional financial markets. Whether in CME, NASDAQ, or professional brokerage systems like IBKR, trading systems naturally support a wide range of order types and order placement algorithms, allowing strategy decisions to be executed precisely, rather than being limited by the platform's capabilities.

In contrast, the crypto market has long suffered from a significant disconnect:

• Most CEXs and DEXs only support a very limited number of basic orders.
• Common TradFi execution tools and algorithms are almost unusable in the crypto.
• The more professional the trading judgment, the greater the "expression loss" during the execution phase.

This brings to light a real problem: as trading decisions increasingly rely on AI, while execution tools remain at a rudimentary stage, this inherently constitutes unfairness to crypto traders.

1024EX is attempting to bridge this structural gap. The platform supports tiered unlocking from basic orders to institutional-level execution tools, including:

• Stop / Take-Profit (Market & Limit)
• Trailing Stop
• OCO and Bracket Orders
• Iceberg,Scale,Pegged Orders
• TWAP, VWAP, POV and other execution algorithms
• Combinable conditions and logic triggering orders

These capabilities are not for “more complexity”, but to enable AI-generated judgments—whether directional, conditional, or combinatorial— to be fully executed in a manner similar to that of traditional professional markets .

What they have in common is that they transform risk control, trading discipline, and execution logic from relying on personal experience into a trading structure that can be stably reproduced by the system.

VII. 1024EX as a developer platform: Enabling AI and Web3 strategies to truly "go on-chain and monetize"

In addition to being geared towards traders, 1024EX is also designed as a developer-friendly strategy and AI agent platform .

With the gradual integration of AI and Web3, more and more trading logic no longer originates from a single account, but from strategies, models, and agents. The fundamental question is no longer "can strategies be written?", but rather: does the strategy have a native closed loop of development, deployment, distribution, and profit ?

1024EX provides a one-stop solution through the 1024 Quant system:

• The exchange interface natively supports quantitative and AI capabilities , allowing for direct function calls, chart analysis, and strategy interaction on candlestick charts.
• Strategy Store : Developers can list their own strategies or AI agents for other users to use directly.
• Coding Agent & Online IDE : Complete development, debugging, and iteration within the platform's web interface.
• Open source projects and developer SDKs : Support broader community collaboration and strategy reuse

In this system, development, trading, distribution, revenue generation, and data accumulation are no longer scattered across different platforms, but form a complete closed loop. This makes AI strategies not just "showcasing ideas," but truly financial tools that can run on the blockchain, be used, and continuously optimized.

8. Psychological Changes of Retail Investors: In the AI ​​Era, the choice of which platform to use is itself a reflection of judgment.

In an era where AI is deeply involved in trading decisions, trading platforms are no longer just execution tools, but are beginning to become part of the quality assessment process.

A growing reality is that more and more retail traders are beginning to communicate with AI using natural language at the trading level —asking for direction, building strategies, and setting risk conditions. However, in most exchanges, once these judgments enter the execution phase, they are often reduced to extremely limited order placement methods.

One of the core goals of 1024EX is to break through this gap :

It allows users to use natural language to invoke professional trading capabilities and execution tools that originally only existed in institutional systems.

On 1024EX, complex institutional-level operations—whether conditional triggers, combined risk control, or execution algorithms—no longer require users to have a professional trading background in the traditional sense. Instead, they can be completed through more intuitive interactions that are closer to human expression.

This essentially achieves something that has been neglected for a long time: financial equality .

• This allows retail investors to have their first experience using institutional-grade trading tools.
• Transforming quantification and systematization capabilities, which were originally reserved for a select few, into infrastructure that can be used by the general public.
• This will ensure that the gap in trading capabilities is no longer solely determined by background, resources, or institutional affiliation.

If quantitative trading has long been the most dazzling yet most distant jewel on the summit of Wall Street, then what 1024EX is trying to do is just like Prometheus— bring this jewel down from its height and into the hands of more ordinary traders .

The result is a very important and ongoing psychological shift: users of 1024EX will naturally feel that they are no longer just "participating in the market," but rather using trading capabilities that were originally reserved for institutions.

This feeling is often more effective than short-term incentives in driving user self-propagation and long-term retention.

Conclusion: The Trading Gateway in the AI ​​Era

When AI becomes the primary source of trading decisions, the real dividing line is no longer "who can provide a better opinion," but rather:

Does the exchange itself have the capability to fully execute these judgments?

In traditional financial markets, this problem has long been solved. Whether it's exchanges like CME and NASDAQ, or professional brokerage systems like IBKR, institutional-grade order types, order placement algorithms, and execution tools have long been part of the infrastructure. Strategies can be precisely expressed, risks can be structured and managed, and judgments are not forced to be reduced or downgraded during execution.

In the crypto market, this capability has long been lacking. Many centralized exchanges (CEXs) and decentralized exchanges (DEXs) are still based on extremely limited order and execution models, which means that the closer a trading system is to a professional level and the more it relies on AI for trading decisions, the greater the losses will be when they are implemented .

1024EX is an attempt to build upon this gap: to introduce the mature trading structures, execution tools and systematic capabilities of traditional financial markets into the on-chain environment, so that AI-generated decisions can be fully expressed, rather than being weakened by the platform's capabilities.

In the AI ​​era, what traders truly need is not just smarter sources of judgment, but a trading platform that matches and keeps pace with those judgments . 1024EX aspires to be just such a platform.