okx-cex-smartmoneySmart Money analytics on OKX: leaderboard traders, position tracking, trade records, closed-position history, aggregated consensus signals, and signal history. Use this skill when the user asks about 聪明钱, smart money, 牛人榜, leaderboard, top traders, 交易员排行, trader ranking, trader positions, trader PnL
Install via ClawdBot CLI:
clawdbot install numpy0001/okx-cex-smartmoneyGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.okx.comAudited Apr 27, 2026 · audit v1.0
Generated May 12, 2026
Users can browse the OKX leaderboard to find top-performing traders, view their full profile including positions, PnL, and trade history, and potentially emulate their strategies. This helps retail traders gain insights from successful professionals.
Investors can check aggregated consensus signals for specific cryptocurrencies to gauge market sentiment. By understanding where smart money is flowing (long/short ratio, capital flow), they can make more informed entry or exit decisions.
Using trader detail and signal history commands, users can monitor a particular trader's historical performance and signal trends. This is valuable for due diligence before following a trader or evaluating their consistency.
The overview command provides a snapshot of smart money activity across multiple currencies. This can be used to identify which assets are attracting significant capital flow or conviction from top traders, aiding portfolio allocation.
Signal history for a given instrument allows users to see how smart money consensus has evolved over time. This helps in backtesting strategies or spotting shifts in sentiment before they become obvious in price action.
Offer tiered access to smart money signals, trader performance data, and historical analysis. Free tier includes basic overview; premium provides detailed trader profiles and real-time signal updates.
License the aggregated consensus and trader data to institutional investors, hedge funds, or other trading platforms. They integrate the data into their own dashboards or algorithms.
Charge top traders a fee to be featured prominently in the leaderboard or to gain additional analytics. Traders get increased visibility, which can lead to more followers/social trading.
💬 Integration Tip
Ensure all commands use the --json flag for machine parsing. Prefer --ts over --dataVersion for live data to avoid stale snapshots.
Scored May 12, 2026
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