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

AIW3 was born in this context:

AIW3 is not just a strategy generation tool, but is redefining the 'production and distribution logic of strategy trading', building a truly user- and creator-centric strategy economic system.

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


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


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


But the problem is: having a strategy does not equal monetization.


In fact, we have already entered an era of strategy homogenization: factors, models, and parameters can all be publicly obtained; AI can generate strategy logic for you, which is no longer a barrier. But why do many strategies perform well in backtesting but fail to meet expected returns in live trading?


The problem lies not with the strategy, but with the 'execution system'.

  • Multi-chain deployment has high latency, missing market windows

  • API/code integration is complicated, non-technical users have no starting point

  • Lack of unified platform support, relying entirely on manpower for generation to launch

  • Strategies lack real user feedback loops, making continuous iteration difficult

Strategies can run, but cannot make money; the problem lies in the lack of platform-based infrastructure to support them.


In the market, we have interacted with over 100 quantitative teams active in DeFi and contract markets, and over 80% of teams reported that their 'strategy backtesting performed excellently, but long-term P&L in live trading could not be maintained'. The reason is not a lack of model accuracy, but that 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', creating real connections between strategy creators and users, making strategy trading no longer exclusive to professional teams.


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


As the market enters a phase of 'competing for efficiency', the win rate of strategies becomes a secondary factor; execution efficiency, deployment speed, optimization loops, community feedback, and other systemic capabilities are the core variables determining long-term returns.


We see more and more teams beginning to realize: models are not difficult to create, systems are difficult to run; systems are not difficult to build, but deployment is hard to control.


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


3. AIW3: Transforming strategies from models into assets trading system


We are not creating an IDE; we are creating an 'operating system' for strategy assets.


AIW3 breaks down the strategy R&D chain into four key modules and introduces AI and systematic optimization in each link:


1. AI-assisted strategy generation:

  • AI + rule-constrained model, users only need to input strategy goals, and AI will automatically generate strategy drafts, risk control templates, and trading logic

  • Automatically identify logical flaws and conflicts, generating verifiable structured strategy code (compatible with Python / Pine Script structure)

  • Users can quickly modify strategy parameters through 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 backtesting across multiple assets, outputting multi-dimensional indicator reports

  • Supports simulated trading, comparing strategy performance with real market data fitting

3. One-click strategy deployment and execution:

  • Strategies are automatically mounted to mainstream CEX, completely fearless of liquidity

  • Real-time trading execution, low-latency order placement, multi-chain support, freely switch between simulated/live environments

4. Strategy rankings and community feedback loop:

  • The platform supports listing outstanding strategies publicly for users to follow, reuse, and rate

  • Long-term tracking of strategy performance, building a signal credibility system for users

  • Forming a community-driven optimization flywheel of 'market-strategy-feedback-reuse'


AIW3 is not a code IDE, but the infrastructure for the entire strategy R&D/deployment/execution/feedback system.

4. The capability map of AIW3: Creating an operating system for a strategy ecosystem


As the first strategy platform, AIW3 builds a complete closed-loop system around the two core roles of 'strategy creator' and 'strategy trader':


🔧 For strategy creators: Four steps to create your exclusive strategy asset

  1. Using AI to assist in creating strategies, publishing and establishing private domain influence

    The platform supports generating strategy frameworks through natural language descriptions, with AI automatically constructing strategy logic modules (entry/take profit/risk control)

    One-click backtesting and deployment, connecting to live trading, attracting users to follow and use

    Each strategy creator has an independent homepage, building their own strategy asset private domain

  2. Obtain exclusive NFT identity markers

    Each strategy creator will receive a unique and verifiable on-chain identity NFT, serving as certification of professionalism and influence

    Identity NFT can be used for platform governance, unlocking advanced permissions, exclusive events, etc.

  3. Tokenization of strategy assets

    Each quality strategy can issue a dedicated Token, which will be linked to strategy usage and performance, forming real economic rights

    Tokens can be staked, circulated, and bound to profit-sharing rights on the platform, endowing strategies with longer-term value-bearing capabilities

  4. Building portfolio asset management capabilities

    Strategy Tokens can be packaged into combinations, allowing users to subscribe to and invest in portfolio-style strategy assets


    Supporting strategy Token swaps and cross-strategy portfolio rebalancing, forming a higher-level 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 longer relying on guessing price movements, every operation is supported by a strategy model

  • No longer relying on KOL 'signals', directly following strategies with data performance

  • No need to monitor the market, the platform automatically executes live logic, utilizing funds more efficiently

For strategy authors:

  • No longer just 'writing code', but operating a complete strategy economic system


  • No longer relying on technology alone, but building a multi-layered value model of 'content + community + assets'

6. Case Perspective: How do real strategies outperform the market?


Case 1 | Trend Strategy Team: From 'engineering dependency' to 'self-evolution system'

This is a contract trading team primarily focused on manual development and live operations, previously relying 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-cycle trends.

Typical problems:

  • The strategy conception cycle is long, and the coupling between technical implementation and deployment is high

  • Lack of integrated backtesting + deployment + execution tools, making rapid trial and error impossible

  • Strategies lack user feedback loops upon going live, and version updates are slow

After using AIW3:

  • Utilizing AI to automatically generate strategy logic, fine-tune manually, and complete backtesting deployment, compressing the strategy from conception to launch within one day

  • Strategies can be deployed to mainstream CEX with one-click live trading, without needing to connect to underlying APIs

  • Immediately recommended by the platform leaderboard after going live, 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 improving market response capabilities

  • Longer strategy lifecycle, more stable profit curves

  • The number of users following strategies increased by 5 times, forming a closed-loop evolution system from strategy → user → profit → feedback

Case 2 | Independent Trader: From 'signal dependency' to 'strategy sovereignty'


This is an independent trader who originally relied on following KOL operations, with dispersed capital management, frequent trading behaviors lacking systematization, and long-term experiencing significant fluctuations in profit and loss.


Core dilemma:

  • Lacking one’s own trading logic, only able to ‘see what others say’

  • Often following the wrong signals, with delayed stop-losses, leading to significant psychological burden

  • Unable to review past trades, unaware of where the issues lie


After connecting to AIW3:

  • Using the AI-assisted module of AIW3, generate your own 'oscillation range + Bollinger Bands pullback' strategy model

  • The platform provides a simulated trading environment, where strategies performed 60% better than manual trading in the past 90 days

  • Can be automatically executed after going live, no need to monitor the market, supports setting take profit, stop loss, and position management

  • Stable returns in live trading, reduced account volatility, and significantly enhanced trading confidence and stability


Key changes:

  • From 'following the crowd' to 'autonomous decision-making'

  • Evolving from emotional trading to systematic trading

  • From passively enduring volatility to actively managing risk

Conclusion: AIW3 is not 'the next platform', but the first strategy creator community platform


AIW3, the first strategy creator community platform in Crypto — connecting strategy authors, traders, and AI in a multi-dimensional trading platform, is not creating another strategy tool, but building an operating system about 'strategy economy'.


Here, strategies are no longer just models, but products; here, trading is no longer just execution, but intelligent collaboration; here, creators are no longer just developers, but designers and issuers of strategy assets.


We believe that every trader deserves to trade smarter; we also believe that every strategy creator should have ownership of their strategy assets.


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, a new order in strategy trading.


🔗 Platform entry


Official website: aiw3.ai


Official Twitter: @aiw3_ai

Development documentation: https://aiw3.ai/docs

Notion documentation package: https://www.notion.so/AIW3-EN-1f49174991d58037a626f47b9dcf776e