From "can run" to "can earn": strategy execution is becoming the final battlefield of quantitative trading.

In an era where the number of traders and tools is experiencing explosive growth, what truly determines the gap in returns has never been the complexity of strategy models, but rather — whether you can execute strategies stably and efficiently, and continuously evolve them.

AIW3 was born against this backdrop:

AIW3 is not just a strategy generation tool, but is redefining the "production and distribution logic of strategy trading," creating a truly user and creator-owned strategy economy system.

1. Alpha is no longer scarce; execution has become the bottleneck.

In the current era of "highly commoditized strategies", obtaining an effective trading logic has never been easier.

Public datasets, open-source code repositories, discussions of factors on Twitter, and AI-driven factor mining tools allow countless individuals to quickly generate "seemingly good" strategies.

But the problem is: having a strategy ≠ being able to monetize.

In fact, we have long entered an era of strategy homogenization: factors, models, and parameters can all be publicly accessed; AI generating strategy logic is no longer a barrier. But why do many strategies perform brilliantly in backtesting, yet fail to achieve expected returns in live trading?

The problem is not in the strategy, but in the "execution system."

High multi-chain deployment delay, missing the market window. API/code integration is complex, and non-technical users have no way to get started. Lack of unified platform support, relying entirely on manpower from generation to launch. The strategy lacks a real user feedback loop, making it difficult to iterate continuously.

The strategy can run, but it cannot make money; the problem lies in the lack of platform infrastructure to support it.

After engaging with over 100 active quant teams in the DeFi and contract markets, more than 80% of the teams reported that their "strategy backtesting performance is excellent, but long-term P&L cannot be maintained in live trading." The reason is not due to insufficient model accuracy, but rather: the strategy deployment and execution infrastructure is too lagging, making it difficult to match the current market pace.

The core value of AIW3 lies in: transforming strategies from "research samples" into "profitable assets", establishing a genuine connection between strategy creators and users, and making strategy trading no longer exclusive to professional teams.

2. The model is just the starting point, the system is the endgame.

When the market enters the stage of "competing for efficiency", the win rate of strategies becomes a secondary factor. System capabilities such as execution efficiency, deployment speed, optimization feedback loops, and community feedback are the core variables that determine long-term returns.

We are seeing more and more teams starting to realize: creating models is not difficult, running systems is; building systems is not difficult, controlling deployments is.

The existence of AIW3 is to connect all key links in this chain, forming a closed-loop infrastructure from "strategy generation" to "real-time trading."

3. AIW3: A trading system that converts strategies from models into assets.

We are not creating an IDE; we are creating the "operating system" for strategic assets.

AIW3 breaks down the strategy development chain into four key modules, introducing AI and systematic optimization at each stage:

1. AI-assisted strategy generation:

AI+ rule constraint model, users only need to input strategy goals, AI automatically generates strategy drafts, risk control templates, trading logic automatically identifies logical flaws and conflicts, generating verifiable structured strategy code (compatible with Python / Pine Script structure) Users can quickly modify strategy parameters using natural language, for example: "Change the stop-loss threshold from 5% to 3%, add an RSI filter."

2. High concurrency backtesting and automatic indicator evaluation:

Simultaneously backtest multiple underlying assets and output a multi-dimensional indicator report. Support simulated trading to compare the fitting degree of strategy performance with real market data.

3. One-click deployment and implementation of strategies:

Strategy automatically mounted to mainstream CEX, completely fearless of liquidity. Real-time trade execution, low-latency order placement, multi-chain support, free switching between simulated and real trading environments.

4. Strategy leaderboard and community feedback loop:

The platform supports listing outstanding strategies publicly for users to follow/invest/review. Long-term tracking of strategy performance builds a signal credibility system for users, forming a community-driven optimization flywheel of "market-strategy-feedback-reuse."

AIW3 is not a code IDE, but rather the infrastructure for the entire strategy research/development/deployment/execution/feedback system.

IV. Capability Map of AIW3: Creating an Operating System for a Strategy Ecosystem

As the first strategy platform, AIW3 has built a complete closed-loop system around two core roles: "strategy creators" and "strategy traders:"

🔧 For strategy creators: Four steps to create your exclusive strategy assets.

Create strategies assisted by AI, publish and establish private domain influence. The platform supports natural language description to generate strategy frameworks, with AI automatically constructing strategy logic modules (entry/exit/protection). One-click backtesting and deployment online, connecting to the real market, attracting users to follow and use each strategy creator has an independent homepage, building their own strategy asset private domain.

Get your exclusive NFT identity badge Every strategy creator will receive a unique and on-chain verifiable identity NFT as a certification of their expertise and influence. Identity NFTs can be used for platform governance, unlocking advanced permissions, exclusive events, and more. Strategy Asset Tokenization Each premium strategy can issue a dedicated Token, which will be linked to the usage and performance of the strategy, forming real economic rights. Tokens can be staked, circulated, and bound for profit-sharing rights within the platform, endowing strategies with a longer-term value-bearing capacity. Build portfolio asset management capability Strategy Tokens can be bundled together, allowing users to subscribe to and invest in portfolio-based strategy assets. Support strategy token swaps and cross-strategy portfolio rebalancing to form a higher-order new type of Crypto asset.

This entire path, from creation → assetization → monetization → community building, opens up unprecedented influence and monetization channels for strategy authors.

5. Why is AIW3 an indispensable system for both traders and strategy authors?

For traders:

No more relying on guessing the rise and fall; every operation is supported by a strategic model. No longer dependent on KOL "shouting orders"; directly follow investment strategies with data performance products without needing to watch the market. The platform automatically executes the real trading logic, making capital usage more efficient. For strategy authors:

No longer just "writing code," but operating a complete strategic economic system. No longer just relying on technology for sustenance, but building a multi-layered value model of "content + community + assets".

6. Case Perspective: How Real Strategies Outperform the Market?

Case 1 | Trend Strategy Team: From "Engineering Dependence" to "Self-Evolving System"

This is a contract trading team that mainly focuses on manual development and real-time operation. In the past, it relied on engineers to write strategy scripts and deploy execution logic, with an average strategy implementation cycle of 6 to 10 days, making it easy to miss short-term trends.

Typical issues:

The strategy conception cycle is long, and the coupling degree of technology implementation and deployment is high. Lack of integrated backtesting + deployment + execution tools, making it impossible to quickly iterate. The strategy launch lacks a user feedback loop, and version updates are slow. After using AIW3:

Utilize AI to automatically generate strategy logic, manually fine-tune it, and complete backtesting deployment, compressing the strategy from conception to launch within 1 day. Strategy deployment to mainstream CEX, one-click real trading, no need to connect to the underlying API. After going live, it is recommended by the platform leaderboard, gaining nearly a hundred real users within 7 days. The platform provides real-time performance feedback and user behavior data, supporting rapid version iteration.

Result comparison:

The strategy deployment cycle is shortened by 85%, significantly enhancing market response capabilities. The strategy lifecycle is longer, and the profit curve is more stable. The number of users following investments has increased fivefold, forming a closed-loop evolutionary system from strategy → users → profits → feedback.

Case 2 | Independent Traders: From "Order Calling Dependence" to "Strategy Sovereignty"

This is an independent trader who originally relied on following KOL operations, with decentralized capital management, frequent trading behavior but lacking systematization, and has been in a state of significant profit and loss fluctuations for a long time.

Core Dilemma:

Lacking one's own trading logic, one can only "see what others say". Often dealing with wrong orders and delayed stop losses, I carry a heavy psychological burden and cannot review past trades, not knowing where the problem lies.

After connecting to AIW3:

Using the AI-assisted module of AIW3, self-generate the strategy model platform of "oscillation range + Bollinger band pullback" which provides a simulation environment. The tested strategy has outperformed manual trading by 60% in the past 90 days and can be executed automatically after going live, requiring no monitoring. It supports setting take profit, stop loss, and position management, resulting in stable real trading returns, reduced account volatility, and significantly enhanced trading confidence and stability.

Key changes:

From "following the trend" to "independent decision-making", evolving from emotional trading to systematic trading, from passively enduring fluctuations to actively managing risks. Conclusion: AIW3 is not the "next platform", but the first strategy creator community platform.

AIW3, the first strategy creator community platform for Crypto - a multidimensional trading platform connecting strategy authors, traders, and AI, not just creating another strategy tool, but building an operating system for "strategy economy."

Here, strategy is no longer just a model, but a product; here, trading is no longer just execution, but intelligent collaboration; here, creators are no longer just developers, but designers and issuers of strategic assets.

We believe that every trader deserves to trade smarter; we also believe that every strategy creator should have their own strategy asset sovereignty.

AIW3, the first strategy creator community platform connecting AI, strategies, traders, and creators.

We are reconstructing the entire cognitive framework and economic structure of strategy trading.

AIW3, the new order of strategic trading.

🔗Platform Entrance

Official website: aiw3.ai

Official @aiw3_ai

Developer Documentation:

Notion Resource Package: