Token Research

Lisk

LSKRank #292

$0.378654USD

-42.83% 24h+266.68% 7d+390.39% 30d
Stale· data 5h 0m 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

$0.2$0.4$0.6$0.8$12026-09-082026-09-102026-09-132026-09-15$0.404688
2026-09-082026-09-15 UTC · $0.102355$0.404688 (+295.38%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

69/100

Elevated observed risk

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

    Annualized volatility of 242% over the observed window.

  • Liquidity depth · weight 25%23/100

    24h traded volume of $122,641,054 (136.65% of market cap).

  • Market size · weight 15%68/100

    Market capitalization of $89,745,489.

  • Observed drawdown · weight 15%76/100

    Worst peak-to-trough decline of 68.0% in the observed window.

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

    Trading 98.9% below its all-time high.

  • Supply not yet circulating · weight 10%70/100

    41.7% of total supply is not yet circulating.

Annualized volatility of 242% over the observed window.

Worst peak-to-trough decline of 68.0% in the observed window.

Market capitalization of $89,745,489.

Trading 98.9% below its all-time high.

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.

45/100

neutral

50 baseline − 5 flow imbalance (net distribution 13% of $16.3M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $7.1M

  • smart-money accumulation $0K
  • whale accumulation $1.8M
  • exchange outflows $5.3M
  • buy swaps $0K

Distribution side · $9.2M

  • whale distribution $0K
  • exchange inflows $9.2M
  • 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 · 32%

  • market regime currently risk-on

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 23%

  • net exchange inflows (supply moving to venues)
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: $7.1M accumulation-side vs $9.2M 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 $5.3M vs inflows $9.2M (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: $7.1M accumulation-side vs $9.2M 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 $9.2M (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 (7 events · 2 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.

Price (USD)

$0.378654

Market cap

$89.7M

24h volume

$122.6M

Circulating supply

233,084,697

All-time high

$34.92

From ATH

-98.92%

On-chain intelligence

Contract addresses

  • ethereum0x6033f7f88332b8db6ad452b7c6d5bb643990ae3f
  • lisk0xac485391eb2d7d88253a7f1ef18c37f4242d1a24
  • base0xac485391eb2d7d88253a7f1ef18c37f4242d1a24

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