
apM Fashion Price Today & AI Analysis
Price
$0.006484
+224.48% 24h
Contract
Live0x72a22faa6a522c81a8f5d508381e18af3da0921eMore tokens on BNB Chain
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Movement since report
report from Sep 17, 2026, 02:15 PM UTC
Market Cap
24h Volume
Liquidity
FDV
Holders
24h
Loading trading activity…AI Executive Summary
Risk
Sentiment
apM Fashion (APM) is a 9-day-old BNB Chain token trading at $0.006401 with a $64.0M market cap and $744,549 in liquidity on PancakeSwap Infinity. The token's entire observable price history (a 2-day window) shows a swing from a low of $0.001998 to a high of $0.009968, with virtually all reported 24-hour trading activity concentrated in the most recent 4-hour window based on matching 4h/24h transaction counts and price changes. With only 383 holders, the top 10 wallets controlling 99.8% of supply, and no contract-security, smart-money, or holder-growth data available, APM is a highly speculative, data-opaque asset.
Figures cited above are from the market snapshot taken when this analysis ran — Sep 17, 2026, 02:15 PM UTC. Live values may differ; the key facts at the top of the page are current.
Key points
- Extremely young token (9 days old) with only 2 days of usable OHLC price history
- Top-10 wallets hold 99.8% of total supply among just 383 holders
- 24h trading volume ($8.17M combined) is roughly 11x total liquidity ($744,549), an unusually high turnover ratio for the liquidity available
apM Fashion AI Price Analysis
Low Confidence
Short-Term · 24h-7d
BullishBuy volume ($4,222,590) modestly outpaced sell volume ($3,943,358) over the past 24h, and unique buyers (1,353) exceeded unique sellers (933) by roughly 45%, pointing to net accumulation despite heavy churn. The token has risen ~220% from its 2-day low of $0.001998 but is now 35.8% below its high of $0.009968, so the near-term path is likely to remain volatile with an upward bias as long as buy-side dominance persists.
Medium-Term · 30d-90d
NeutralThe token is only 9 days old with just two daily closes of usable price history and no 30d or 90d trend data, making any medium-term directional call speculative rather than data-driven. Its full observable history spans a 5x range ($0.001998 to $0.009968), reflecting early-stage price discovery rather than an established trend that can be reliably extrapolated.
Bullish Factors
- 24h buy volume ($4,222,590) exceeded sell volume ($3,943,358), a 51.7%/48.3% split favoring buyers
- Unique buyers (1,353) outnumbered unique sellers (933) by about 45% over the same 24h window
- Price is up roughly 220% from the 2-day low of $0.001998 to the current $0.006401
Bearish Factors
- Current price ($0.006401) sits 35.8% below the 2-day high of $0.009968, suggesting the initial rally has already faded
- Sell transaction count (20,565) exceeded buy transaction count (14,948) by roughly 38%, showing broader distribution among more, smaller sellers
- Liquidity of $744,549 against a $64.0M market cap is thin, leaving price highly exposed to sizable trades
Disclaimer: This AI-generated prediction is for informational purposes only and does not constitute financial advice. Cryptocurrency investments are highly volatile. Always conduct your own research.
APM call history
Calls are recorded the moment the analysis is generated and scored automatically against the market price 24h, 7d and 30d later — hits and misses alike, never edited.
Token Info
- Chain
- BNB Chain
- Contract
- 0x72a2...921e
- Total Supply
- —
- Decimals
- —
Key Risks
- Top 10 wallets hold 99.8% of supply with no ability to verify whether these are individuals, exchanges, or contracts, creating potential for sudden large sell pressure
- Only 9 days of existence and 2 days of OHLC history make trend analysis and price levels highly unreliable
- Liquidity of $744,549 is thin relative to a $64.0M market cap, increasing slippage and price-impact risk for sizable trades
- No contract security audit, smart-money, or launch-forensics data is available to rule out insider allocation or contract risk
Trading Insight
Buy-side volume and unique buyer counts both modestly exceed their sell-side counterparts, indicating net inflow, though the higher raw count of sell transactions (20,565 vs 14,948 buys) shows distribution is happening across many smaller trades. The overall picture is one of intense, high-frequency trading activity rather than a clean one-directional trend.
AI-generated insight. Not financial advice.
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