CoinW Launches Zero Profit-Share 'Smart Money' Copy Trading, Empowering Users to Replicate On-Chain Whale Strategies

Cryptocurrency exchange CoinW has launched its 'Smart Money' copy trading feature, enabling users to replicate on-chain whale strategies with a novel 'zero profit-share' model. The feature supports spot and futures trading and offers robust risk management tools, enhancing CoinW's trading product ecosystem.

Cryptocurrency exchange CoinW has recently launched an innovative copy trading feature called 'Smart Money'. This tool allows users to observe and automatically replicate the trading activities of specific on-chain addresses and traders, often referred to in the market as holders of 'smart money'.

CoinW Launches Zero Profit-Share 'Smart Money' Copy Trading, Empowering Users to Replicate On-Chain Whale Strategies插图

The feature showcases numerous experienced traders, presented through two main leaderboards. Each listed trader is accompanied by tags to help users quickly find options that align with their risk tolerance and preferences. Their profile pages provide key information, including Profit and Loss (PnL), trading frequency, maximum drawdown, and asset holdings for user reference.

Unlike traditional copy trading products, CoinW's 'Smart Money' feature introduces a 'zero profit-share' mechanism. This means users do not need to share any trading profits with the copied traders when replicating their strategies. This mechanism enables users to efficiently copy selected strategies without incurring additional profit-sharing costs.

The tool fully supports both spot and futures trading. In addition to customizing trade sizes, users can set take-profit and stop-loss levels, manually close positions, and add margin to manage trading risks.

The launch of the 'Smart Money' feature further enriches CoinW's existing lineup of copy trading products, which already includes spot, futures, bot, and signal models. By adding verified on-chain addresses as copy targets, CoinW further solidifies its advantage in the copy trading ecosystem.

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