GMGN Smart Money Tracker: Horseradish Surges 19,141% as MEME Speculation Heats Up

GMGN Smart Money Tracker: Horseradish Surges 19,141% as MEME Speculation Heats Up

N
News Editor
2026-07-01 07:31:21
According to GMGN data, the top five tokens by smart money net inflow in the past 24 hours are Horseradish (+19,141%), Frigoberto (-3.2%), KALEO (+498%), TROLL (+9.9%), and Goblin (-53.1%). Despite Horseradish's explosive gain, inflow amounts are only thousands of dollars, highlighting extreme volatility and low liquidity in MEME coins. This article analyzes the practical value of the smart money indicator and cautions against chasing pumps.

On-chain data aggregator GMGN reported the latest 24-hour smart money net inflow rankings, with all top five positions occupied by MEME tokens, highlighting a concentrated speculative trend. Leading the pack is Horseradish (GAef....ump), which saw approximately $4,000 in net smart money inflow yet surged 19,141.3% to $0.0005, exemplifying the typical explosion pattern of low-cap MEME coins.

Top 5 Smart Money Inflow Tokens

Beyond Horseradish, the remaining four tokens each attracted less than $2,000 in net inflow, with sharply diverging price performances:

  • Frigoberto (6QN2....ump): $2,000 net inflow, 24h change -3.2%, price $0.0001;
  • KALEO (684r....ump): $1,000 net inflow, 24h change +498.1%, price $0.0001;
  • TROLL (5UUH....gH2): $1,000 net inflow, 24h change +9.9%, price $0.0562;
  • Goblin (3KHM....ump): $920 net inflow, 24h change -53.1%, price $0.0009.

Risks and Limitations of Smart Money Data

GMGN’s “smart money” label typically tracks addresses with historically high win rates, offering some directional clues for short-term traders. However, in this list, most tokens have extremely thin liquidity — a few thousand dollars can trigger multi-fold or even hundred-fold price swings. While Horseradish’s short-term return is staggering, entry slippage and low actual participation depth pose significant risks. Meanwhile, Goblin dropped over 53% despite net positive inflow, suggesting that even smart money can fail when “buying the dip.” Investors should cross-reference on-chain holder concentration, trading pair depth, and project fundamentals before acting on such signals.

Moreover, on-chain analytics involve data latency, and the criteria for labeling “smart money” addresses are not foolproof — some actors may use wallet dispersion to manipulate metrics. Given the high volatility and low liquidity of MEME tokens, prudent position sizing remains essential.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
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