Author: Frank, PANews

As the narrative cycle of the crypto market continues to shorten and the frequency of hot topics accelerates, ordinary traders are facing increasing challenges in judgment. Relying solely on traditional technical indicators or fundamental information makes it difficult to form stable judgments in a high-volatility, high-noise market. However, on the other side of the market, a large amount of "smart money" or "whales" are creating astonishing returns based on exclusive information sources and technical signals. This has led many to realize that following others' trades might be a stress-free yet efficient method.

Thus, copy trading has become one of the most common trading models today. Various trading platforms have begun to introduce the concept of smart money into the copy trading scene. However, amidst the excitement, a more realistic problem still exists: when users are faced with hundreds of high-profit addresses and traders, whom should they follow? After following, what else can users learn aside from profit and loss figures?

As one of the first platforms to introduce on-chain smart money capabilities into the exchange copy trading scene, CoinW officially launched "On-Chain Smart Money" copy trading in 2026 and quickly completed a 2.0 upgrade. From the multi-list system of the "Smart Money Radar" to the visual interactive representation of "Overall Long-Short Position Ratio," and the "0% Profit Sharing" mechanism, CoinW aims not to answer "how to let users copy trades faster," but rather "how to help users understand why they are copying trades."

Farewell to Emotional Games: Laying the First Step of the "Cognitive Ladder" for Ordinary Traders

The crypto market is never short of opportunities, but for newcomers, the more opportunities there are, the more noise there is.

The most common dilemma ordinary users face is: chasing after price increases, fearing price retreats, and placing orders upon seeing profit screenshots, turning trading into a mixture of emotions and luck.

We can envision a typical Web3 newcomer’s real trading path without effective tools: seeing a KOL loudly promoting a potential altcoin on social media, succumbing to FOMO emotions and quickly entering at market price. However, this results in buying at the peak, and the price then rapidly retreats by 20%. At this point, the user faces extreme anxiety: is this a normal shakeout or the strong selling? Should they cut losses or hold on until the end? The essence of this anxiety is the "decision-making black box" caused by information asymmetry. They don't know where the buying pressure comes from or when the selling pressure will end.

Traditional copy trading products have partially solved the issue of "not knowing how to trade." Users can copy the opening and closing of traders, reducing the pressure of independent decision-making. However, it has not fully resolved another more significant question: why follow this person? If users only see return rates, follower counts, and rankings but cannot see the trader's capital scale, drawdown levels, holding periods, trading frequency, and risk preferences, copy trading can easily become another form of blind guessing.

The value of on-chain smart money is reflected here. If this novice in the earlier scenario had the perspective of on-chain smart money, the first step they would take would no longer be to observe the emotional signals in the group, but rather to check whether the "smart money" addresses with high winning rates, consistently profitable across the bull and bear markets, were actually accumulating positions and what the average price of their positions was. On-chain addresses don't tell stories or craft personas, but they leave behind real capital footprints. What an address has bought, when it was bought, how much it bought, for how long it held, and when it exited---these actions interconnected form a closer evidence chain to trading ability than mere return rates.

However, understanding contract interactions, identifying address behaviors, and judging capital intentions is itself a set of high-threshold skills. The core logic of CoinW's "On-Chain Smart Money" copy trading is to productize this professional observational ability. Users do not need to master all on-chain analysis techniques from the outset, but can first engage with more authentic trading behaviors through the product, gradually building their judgment framework. Traditional copy trading resembles directly copying answers, while CoinW's "On-Chain Smart Money" copy trading is akin to laying out the problem-solving process of experts for users to see.

Deconstructing the Granularity of CoinW's "On-Chain Smart Money": Redefining Copy Trading with Restraint and Transparency

Most copy trading products seek to shorten the path as much as possible. Users see traders, return rates, and buttons, and the next step is to follow. The most apparent difference of CoinW's "On-Chain Smart Money" copy trading is not simply stacking more addresses in front of users, but rather readjusting the order between information and execution.

In terms of product design, CoinW's "On-Chain Smart Money" copy trading proposes a differentiated concept of "80% Information Reference + 20% Copy Execution." It intentionally "stretches" the trading chain, placing transparent and publicly available information references ahead of the copy trading action, closely aligning with the product logic of "understand first, then follow." CoinW does not want to rush users with exaggerated numbers to click the follow button, but rather to guide them to first examine the underlying data logic.

This means that what users see is not just a profit leaderboard, but the on-chain trading data of traders and a more complete behavioral portrait. Of course, return rates are important, but they are also the most misleading indicators for users. Short-term high returns may come from high leverage or a single extreme market situation. A historically profitable address may not necessarily be suitable for all users to replicate. Only by placing returns back in the context of trading behavior can users determine whether it reflects stable ability or merely lucky rewards.

In terms of specific implementation, CoinW's On-Chain Smart Money Copy Trading 2.0 introduces a "Selected Recommendations" mechanism, dynamically filtering trading experts with outstanding recent performance and more valuable trading behaviors through algorithms. For ordinary users, this effectively adds a preliminary filter above the complex smart money pool, allowing users to either explore actively according to leaderboards or quickly discover potential copy trading targets from platform recommendations.

The "Smart Money Radar" further solves the issue of "who to watch." CoinW breaks down the smart money selection into five categories: Celebrity List, Mainstream Experts, Consistent Winners, Steady Long-Term Profits, and Whale Safe Selection. The Celebrity List focuses on well-known traders who are active and highly profitable; Mainstream Experts emphasize performance returns; Consistent Winners focus on high win rates and long-term stability; Steady Long-Term Profits leans towards risk control capabilities; while Whale Safe Selection targets users with significant funds, choosing trading strategies more suitable for sizable allocations.

The key to this design is not simply adding a few more leaderboards, but recognizing that different users need different reference points. Taking a real trading scenario as an example, suppose you are a radical player holding 500 U with the desire to capture high-explosive opportunities in a volatile market; you can directly click on the "Celebrity List" or "Consistent Winners" to find short-term targets with high elasticity. But if you are a mature investor managing hundreds of thousands of USDT in funds, seeking stable appreciation with lower returns, then the whale addresses in "Whale Safe Selection," which can handle significant liquidity, have minimal historical drawdowns, and possess sufficiently deep strategy capacities, would be your true optimal solution.

Small fund users may care more about elasticity, while large fund users may prioritize liquidity and drawdown. Pushing everyone towards the same return leaderboard is inherently a coarse matching. CoinW's multi-leaderboard system provides a risk preference and trading style stratification for users, allowing "who earns the most" to give way to "who is more suitable for me."

Another distinguishable feature is the "Overall Long-Short Position Ratio." Long-short data is one of the most common yet dull indicators in the trading market. CoinW transforms it into a more visualized model, allowing users to not only see long-short ratio data but also investigate the specific trading styles, positions, and profits of these smart money factions. Understanding the logic of long-short compositions from a more detailed data perspective also supports users in easily jumping to traders' Twitter accounts for the latest updates, grasping the real long-short thinking logic of smart money.

The "0% Profit Sharing" is the most direct difference in interests. In mainstream copy trading products, when users follow traders to make a profit, they typically need to pay a certain percentage of profit sharing. The profit sharing percentage on some platforms usually falls within the range of 10% to 20%. If a user gains a profit of 1000 USDT through copy trading, they may need to pay up to 200 USDT as profit sharing, resulting in only 800 USDT to keep. CoinW's on-chain smart money copy trading "0% Profit Sharing" mechanism directly reduces the loss in profit retention.

Overall, the differentiation of CoinW's on-chain smart money copy trading can be summarized as a more cautious and transparent new mechanism.

Returning to the Essence of the Product in a Restless Market

The current crypto market is filled with short-term temptations. We see countless platforms eager to rapidly launch various MEME coins lacking practical applications or design dazzling trading mining activities to stack short-term "prosperity." This traffic methodology yields quick results but is also extremely fragile. In such an industry backdrop, CoinW stubbornly focuses on "on-chain data cleansing, address labeling, and behavior logic reconstruction." This "foundational infrastructure" work, which consumes enormous resources and funds and is challenging to generate explosive phenomena in the short term, seems incredibly "unintelligent" to many.

If one only looks at single-point features, on-chain smart money copy trading can easily be understood as chasing popular narratives. However, looking back at CoinW's product movements over the past year, it consistently grinds around contract trading, strategy tools, and user protections. Public information shows that CoinW launched a contract margin protection plan, investing 500,000 USDT monthly, with the highest subsidy to a single user being 500 USDT, aimed at helping users buffer some risks in extreme volatility. Over the past year, this plan has accumulated an investment of 6 million USDT. In addition, CoinW is also continuously expanding strategies such as contract martingale, contract platter, movable grid, and CTA strategies to improve this set of trading toolbox.

Returning to the initial question, why is CoinW still pursuing on-chain smart money copy trading? The answer may not be complicated: there are copy trading products in the market, but there is a lack of a sufficiently transparent decision-making framework; there is on-chain data in the market, but there is a lack of executable paths for ordinary users; there are numerous "smart money" stories in the market, yet there are fairly few methods that can genuinely help users understand the market.

The value of CoinW's on-chain smart money copy trading lies in enabling users to gradually establish their market judgment within a framework of more transparent information, more segmented leaderboards, and lower loss mechanisms.

In the crypto market, hot topics will always rotate, and narratives will ebb away. What is truly scarce is not the next concept, but rather the products that can translate the complex market into usable tools and continuously help users build judgment capabilities. Smart money is never the answer itself; learning how to understand smart money may be the more important answer.

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。