Token Research

apxUSD

APXUSDRank #132

$0.971363USD

-0.14% 24h+0.22% 7d+2.69% 30d
Stale· data 4d 22h oldOfficial site

The information on this page is market data and educational analysis, not financial advice. Past on-chain activity does not guarantee future results. Always do your own research.

Live chart

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Source: Binance USDT market (≈USD) · 15m candles · UTC · awaiting first tick. Market prices from one venue — not a consolidated tape. Educational information only, not financial advice.

Price history

$0.968$0.97$0.972$0.9742026-09-032026-09-062026-09-082026-09-10$0.971363
2026-09-032026-09-10 UTC · $0.969212$0.971363 (+0.22%)Source: CoinGecko · cached up to 60 min

Structural risk profile

Observed characteristics of APXUSD market data — volatility, liquidity depth, drawdowns, size and supply.

38/100

Moderate observed risk

High confidence· 100%
  • Price volatility · weight 25%31/100

    Annualized volatility of 51% over the observed window.

  • Liquidity depth · weight 25%70/100

    24h traded volume of $1,573,645 (0.49% of market cap).

  • Market size · weight 15%50/100

    Market capitalization of $318,409,159.

  • Observed drawdown · weight 15%31/100

    Worst peak-to-trough decline of 28.0% in the observed window.

  • Distance from all-time high · weight 10%4/100

    Trading 4.0% below its all-time high.

  • Supply not yet circulating · weight 10%0/100

    0.0% of total supply is not yet circulating.

24h traded volume of $1,573,645 (0.49% of market cap).

Annualized volatility of 51% over the observed window.

Market capitalization of $318,409,159.

Worst peak-to-trough decline of 28.0% in the observed window.

These are observed structural characteristics of past and current market data — not a prediction, not a recommendation.

Higher score = more observed structural risk. Computed from CoinGecko market data; the number is calculated, never generated by AI. A low score does not mean an asset is safe.

Smart Money Intelligence

Observed positioning of scored wallets over 30 days — computed from real whale events, rule-based, never a prediction.

10/100

distribution

50 baseline − 40 flow imbalance (net distribution 100% of $2.4M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $0K

  • smart-money accumulation $0K
  • whale accumulation $0K
  • exchange outflows $0K
  • buy swaps $0K

Distribution side · $2.4M

  • whale distribution $2.4M
  • exchange inflows $0K
  • sell swaps $0K

Smart money consensus (7d · 0 scored wallets)

Insufficient scored-wallet data — no scored wallet was active on this asset in the last 7 days, so no consensus can be claimed.

Scenario weights — derived from current observed signals, not forecasts

Accumulation continues · 10%

  • market regime currently risk-on

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 45%

  • whale distribution observed ($2.4M/30d)
Professional lenses (5) — rule-based analysis from the data above
  • Institutional Fund confidence low

    What would a hedge fund analyst likely examine here?

    A fund analyst would typically flag the net distribution and examine venue inflows as potential supply overhang.

    Data: observed 30d flows: $0K accumulation-side vs $2.4M distribution-side · 0 scored wallets active in 7d

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Whale Investor confidence low

    What would a large holder likely watch?

    A large holder would typically watch the exchange inflows as a sign that peers are staging liquidity venue-side.

    Data: exchange outflows $0K vs inflows $0K (30d)

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Swing Trader confidence low

    What would a technical trader likely track?

    A swing trader would typically track whether the current distribution side persists across sessions, using the flow imbalance as context rather than a signal by itself.

    Data: observed 30d flows: $0K accumulation-side vs $2.4M distribution-side

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Risk Manager confidence low

    How would a professional frame the risk?

    A risk manager would typically size any exposure against the observed concentration: flows driven by few wallets reverse faster than broad-based moves, and venue-side supply adds liquidity risk.

    Data: 0 scored wallets in the 7d sample · venue-side supply $0K (30d inflows)

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Long-Term Investor confidence low

    What would a long-horizon allocator likely note?

    A long-horizon allocator would typically treat current flows as noise at their horizon and focus on fundamentals this dashboard does not measure.

    Data: Insufficient scored-wallet data — no scored wallet was active on this asset in the last 7 days, so no consensus can be claimed.

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

Educational description of observed on-chain positioning (5 events · 1 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.

Price (USD)

$0.971363

Market cap

$318.4M

24h volume

$1.6M

Circulating supply

327,797,839

All-time high

$1.01

From ATH

-3.99%

On-chain intelligence

Contract addresses

  • ethereum0x98a878b1cd98131b271883b390f68d2c90674665
  • base0xd993935e13851dd7517af10687ec7e5022127228
  • binance smart chain0x6b3788fd6604bbf03c5378d24e57bb334baad4af
  • solanaHAYQtfJEQ9DbDbaHEhxfGsWbSZ3ywthdsVB3PuB72DYe

Market data by CoinGecko, refreshed every 5 minutes. Educational information only — not financial advice.