Token Research

POL (ex-MATIC)

POLRank #71

$0.096153USD

-0.17% 24h-0.86% 7d+27.19% 30d
Stale· data 1d 13h 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

$0.08$0.09$0.1$0.11$0.122026-08-152026-08-252026-09-042026-09-14$0.096677
2026-08-152026-09-14 UTC · $0.075601$0.096677 (+27.88%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

41/100

Moderate observed risk

High confidence· 100%
  • Price volatility · weight 25%51/100

    Annualized volatility of 71% over the observed window.

  • Liquidity depth · weight 25%33/100

    24h traded volume of $48,486,057 (4.71% of market cap).

  • Market size · weight 15%33/100

    Market capitalization of $1,030,102,917.

  • Observed drawdown · weight 15%34/100

    Worst peak-to-trough decline of 30.4% in the observed window.

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

    Trading 92.5% below its all-time high.

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

    0.0% of total supply is not yet circulating.

Annualized volatility of 71% over the observed window.

Trading 92.5% below its all-time high.

24h traded volume of $48,486,057 (4.71% of market cap).

Worst peak-to-trough decline of 30.4% 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.

50/100

neutral

50 baseline + 0 flow imbalance (net accumulation 0% of $81.5M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $40.9M

  • smart-money accumulation $0K
  • whale accumulation $7.8M
  • exchange outflows $33.1M
  • buy swaps $0K

Distribution side · $40.6M

  • whale distribution $29.9M
  • exchange inflows $10.7M
  • 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 · 35%

  • net exchange outflows (supply leaving venues)
  • market regime currently risk-on

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 20%

  • whale distribution observed ($29.9M/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 read balanced flows as absence of a positioning edge and wait for a dominant side.

    Data: observed 30d flows: $40.9M accumulation-side vs $40.6M 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 net exchange outflows — supply moving to self-custody historically accompanies holding behavior.

    Data: exchange outflows $33.1M vs inflows $10.7M (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 accumulation side persists across sessions, using the flow imbalance as context rather than a signal by itself.

    Data: observed 30d flows: $40.9M accumulation-side vs $40.6M 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 $10.7M (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 (12 events · 1 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.

Price (USD)

$0.096153

Market cap

$1.03B

24h volume

$48.5M

Circulating supply

10,714,103,973

All-time high

$1.29

From ATH

-92.53%

On-chain intelligence

Contract addresses

  • ethereum0x455e53cbb86018ac2b8092fdcd39d8444affc3f6
  • polygon pos0x0000000000000000000000000000000000001010

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