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In the wave of the cryptocurrency market, quantitative trading has long been seen as a privilege for professional players. It requires a comprehensive mastery of trading logic, technical indicators, programming skills, and risk control, and consumes a lot of time on tedious steps like data backtesting, parameter optimization, and exchange integration. For most traders, conceptualizing a strategy is easy, but truly implementing it feels like crossing an insurmountable chasm.
But the problem is — opportunity windows never wait for anyone. In today's rapidly changing market, what traders need is a way to quickly validate and execute strategies, rather than getting stuck in the quagmire of development cycles and tool switching. Is it possible to make quantitative trading as simple as ordering a ride, allowing every trading inspiration to land with the shortest path?

In the eyes of most traders, a strategy is a kind of logic, a model that iterates on historical data, a craft of 'gambling on others' expectations' during speculative cycles. However, from AIW3's systematic perspective, a strategy is not just a thinking model, but an 'asset unit' that is about to enter the main stage of trading — just like liquidity, order books, and PnL, it becomes an underlying module that can be run, verified, used, and profited.
The problem is: For a strategy to become a true asset, it is far from enough to rely solely on encapsulated logic; it must also be able to 'execute', be 'run in real markets', be 'placed on high-quality liquidity', and leave a verifiable performance track. Only then can a strategy meet the conditions for transformation from content to product, from model to asset.

In the impression of most people, trading is a behavior completed within a certain price range of 'buy and sell'; but deep in the real market, trading is actually a language — it records everyone's choices, judgments, hesitations, and executions, forming a dynamic game between countless individuals and the market.
However, these actions are often fleeting. Most people click 'market buy' or 'take profit close' and then throw it all away. They fall like water droplets into the ocean, merging into a larger market but leaving no 'works' of your own.

The crypto market in 2025 is no longer that speculative feast where you can get rich by closing your eyes and buying, nor is it the carnival where KOLs' shouts can trigger FOMO. In this new cycle, the thresholds of information, barriers of strategies, speed of execution, and gaps in cognition are gradually widening the distance between retail investors and the market core; trading is increasingly resembling a form of 'capital permission.'
In today's world of high-frequency trading, black-box models, on-chain arbitrage, and emotional signals, the rules of the market game have long been restructured. For the vast majority of ordinary investors, they are faced not with 'which coin to buy,' but with a more fundamental dilemma — where do strategies come from?

In today's era of explosive growth for traders and the increasing democratization of strategy tools, the fate of retail investors is quietly diverging: some have already achieved stable profits with AI strategies, while others are still repeating liquidation in emotional trading. AIW3Crypto was born in such a historical context.
AIW3, the first strategy creator community platform in Crypto — connecting strategy authors, traders, and AI in a multi-dimensional trading platform. Its mission is clear: to help every trader trade smarter and to help every strategy author unleash creativity and influence. AIW3 is not just a strategy tool, but a complete asset operation system for strategy trading, opening the door to the era of systematic trading for users.

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.

In the wave of collision between blockchain and artificial intelligence technology, a disruptive intelligent revolution has quietly erupted. AIW3—this pioneering project driven by innovative technology—is reconstructing the rules of the Web3 ecosystem with its unique 'decentralized AI agent' architecture, becoming the focal point of attention for developers, investors, and users. What is its magic? The answer lies in these three core advantages:

1. DASH Framework: Modular 'Smart Brain', making development as simple as building blocks.

The technical core of AIW3 is the DASH (Decentralized Autonomous Service Hub) framework. This framework perfectly integrates the decentralized characteristics of Web3 with the automated decision-making capabilities of AI, serving as the 'smart brain' of the entire ecosystem. Its four key features directly address industry pain points:

In the wave of 2025, the 'Year of the Agent,' the evolution of AI technology faces two core challenges: efficient collaboration among agents and seamless interaction between AI and blockchain data. The AIW3 system provides answers through the revolutionary A2A protocol (Agent-to-Agent Protocol) and MCP protocol (Multi-Chain Protocol), not only redefining the technical standards for agent collaboration but also building a 'super temporal and spatial tunnel' connecting AI and blockchain.

Breaking the Islands: A2A Protocol Constructs the Infrastructure for Agent Society

In the traditional AI ecosystem, agents developed by different vendors are like 'digital islanders,' isolated from each other, leading to 70% of enterprise intelligent projects falling into the dilemma of 'local intelligence, global inefficiency.' AIW3 realizes efficient linkage of agents through the A2A protocol, with core technological innovations including:

In the dual waves of the digital economy and AI large models, a revolutionary protocol is quietly rewriting the fundamental rules of human-machine collaboration—Model Context Protocol (MCP), with its unique cross-dimensional connection capability, builds a "super-spatial tunnel" to the blockchain world for the AIW3 ecosystem.

Users no longer need to go to various trading platforms for information; all mainstream platform's latest market dynamics can be accessed from one platform. So what exactly is the MCP protocol? Understand the underlying logic of MCP in one article.

Breaking moment: When AI large models encounter blockchain data islands

In the wave of blockchain and artificial intelligence technology collision, a revolutionary smart revolution has quietly erupted. AIW3—this pioneering project driven by innovative technology—is reconstructing the Web3 ecological rules with its unique 'decentralized AI agent' architecture, becoming the focal point of attention for developers, investors, and users. What is its magic? The answer lies in these three core advantages:

1. DASH Framework: Modular 'smart brain' makes development as easy as building blocks

The technical core of AIW3 is the DASH (Decentralized Autonomous Service Hub) framework. This framework perfectly integrates the decentralized characteristics of Web3 with the automated decision-making capabilities of AI, serving as the 'smart brain' of the entire ecosystem. Its four key features directly address industry pain points:

AIW3 is a leading platform that deeply integrates AI technology with Web3 trading. Through our self-developed AI trading engine, we provide ordinary investors with quantitative trading capabilities previously available only to institutions. The platform combines the strategy generation capabilities of large language models, the automated execution advantages of intelligent agents, and the transparent characteristics of blockchain technology, creating a safe, intelligent, and efficient next-generation digital asset trading ecosystem.

AIW3, as a new generation smart quantitative trading platform, officially launches limited invite testing! We cordially invite you to become one of the first experience officers to explore the future of AI decentralized finance together.

In the waves of the cryptocurrency market, countless trading strategies are born every day on the secondary market of exchanges, but most are hidden in black boxes by quantitative teams. These 'brainchilds' condensed with market insights often only realize limited value in the form of 'paid subscriptions' or 'copy trading revenue sharing'—until a brand new model quietly starts to reconstruct the rules of the game: What happens when trading strategies are no longer just simple code or indicator combinations, but can autonomously 'incubate' into decentralized projects?

👊 From 'strategy authors' to 'on-chain developers': the underestimated on-chain entrepreneurial potential

‘Ultimate Memecoin Discovery’ event: Come vote and receive an airdrop

In the Web3 field, the spirit of decentralization not only means technological innovation but also represents a brand new model of community autonomy. Against this backdrop, PDAO is committed to building a more fair, transparent, and decentralized ecosystem, empowering every user, and ensuring that true value creators receive their rightful rewards. To further incentivize community participation and discover the most promising Memecoins, PDAO has launched the 'Ultimate Memecoin Discovery' square voting reward event!

Users holding $PDAO tokens will gain voting rights and have the opportunity to help potential Memecoins enter the recommendation list through voting, while winning generous rewards provided by the PDAO ecosystem. This is not just a game, but an important step in exploring new economic models in the Web3 world.

The crypto market is turbulent, and memecoin traders constantly face challenges such as information lag, emotional trading, and low success rates. In an environment of severe market fluctuations, missing key information or making wrong judgments can lead to significant losses.

In the face of these challenges, AI smart trading tools are increasingly gaining attention. Relying on powerful data processing capabilities and deep learning algorithms, these tools can capture market dynamics in real time, integrate on-chain data and social media sentiment information, and provide traders with precise market trend analysis. They can not only quickly identify potential trading opportunities but also adjust strategies in a timely manner based on changes in market sentiment.

Since Trump, celebrity token launches seem to have become a new business model. On March 2, the famous retired football star Ronaldinho also announced the launch of his personal token $STAR10 on the BSC chain.

Author: Frank, PANews

Since Trump, celebrity token launches seem to have become a new business model. On March 2, the famous retired football star Ronaldinho also announced the launch of his personal token $STAR10 on the BSC chain. Despite the market downturn, although the circulating market value peaked at $32 million, it still fell far short of the expected buying frenzy. Instead, many conspiracy theories about this token have been exposed on social media, including rumors about a Shenzhen token issuance team, unsealed liquidity pools, unyielded minting rights, and insiders cashing out early, leading even Binance founder CZ, who retweeted the launch information, to face a barrage of attacks from users. Is this celebrity token craze really a one-way harvesting wealth code?

As the first decentralized AI event held in Hong Kong during ConsensusHK, it attracted industry elites, technology pioneers and innovative thinkers from around the world to gather together to discuss the latest achievements of the DeepBrain Chain ecosystem and the latest developments, challenges and future trends of decentralized AI.

Article author: 0x9999in1, MetaEra

On February 20, 2025, the DeepBrain Chain Decentralized AI Ecosystem Conference 2025 Hong Kong was successfully held at Cyber ​​Arena in Hong Kong Cyberport. The event was co-organized by DeepBrain Chain and MetaEra, and supported by DeepLink, DecentralGPT, Wanwudao, XAIAgent, SuperImage and DeepAgent.

The market has been caught in a tug-of-war recently, with BTC bulls and bears repeatedly trading between $100,000 and $96,000. In the past week, there was a sharp pullback, falling below the support level of $91,000. From the volatility, it can be seen that investors' anxiety about short-term trends is heating up.

Long-term holders’ movements and market signals

On February 9, well-known analyst Maartunn shared a set of on-chain data: 14,000 bitcoins with a history of 7 to 10 years were moved on the chain.

This re-entry of long-dormant Bitcoin into circulation is often seen as an important signal, and these actions may indicate a variety of motivations - long-term holders may be preparing for a potential uptick, institutions may be rebalancing their positions, or market participants may be concerned about the continued selling pressure. Regardless, the reactivation of such a large number of old Bitcoins usually indicates that violent price fluctuations are imminent. Although such actions are not uncommon during market consolidation, they add more uncertainty to the current market sentiment.

Methodology

This research includes two major focuses:

Analyze the internal structure of game sub-tracks;

Construct a panoramic view of current mainstream projects in the market.

To this end, we filtered the top projects with a market capitalization of over $50 million and included large games that have not yet issued tokens but have high visibility and attention in the community. If certain projects span multiple fields, they are classified into the most relevant vertical track.

Game Ecosystem Map

As of January 2025, the Web3 game ecosystem can be divided into three major verticals: Infrastructure, Games, and Ecosystems.

#Infrastructure

According to the statistics from crypto KOL AB Kuai.Dong, Binance significantly reduced its own BTC and ETH holdings in January and converted most of its assets into the stablecoin USDC. Among them, BTC holdings decreased from 46,896 to 2,747 (a reduction of 94.1%), ETH holdings decreased from 216,313 to 175 (a reduction of 99.9%), SOL holdings decreased by 99%, and USDT holdings were almost cleared (a reduction of 99.9%).

In contrast, the reduction ratio of BNB was relatively low, only 16.6%, decreasing from 5.839 million to 4.869 million, with a change in value of approximately $615 million. Meanwhile, Binance's USDC holdings increased by 57.5%, rising from 805 million to 1.268 billion, an increase in value of $463 million.