Token Research

Falcon Finance

FFRank #113

$0.142978USD

-2.15% 24h+19.55% 7d+118.77% 30d
Stale· data 1d 14h 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

Loading live market…

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

$0.12$0.13$0.14$0.15$0.16$0.172026-09-072026-09-092026-09-112026-09-14$0.142834
2026-09-072026-09-14 UTC · $0.119563$0.142834 (+19.46%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

66/100

Elevated observed risk

High confidence· 100%
  • Price volatility · weight 25%95/100

    Annualized volatility of 115% over the observed window.

  • Liquidity depth · weight 25%49/100

    24h traded volume of $11,075,772 (2.47% of market cap).

  • Market size · weight 15%45/100

    Market capitalization of $449,237,069.

  • Observed drawdown · weight 15%29/100

    Worst peak-to-trough decline of 25.8% in the observed window.

  • Distance from all-time high · weight 10%91/100

    Trading 81.5% below its all-time high.

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

    68.6% of total supply is not yet circulating.

Annualized volatility of 115% over the observed window.

24h traded volume of $11,075,772 (2.47% of market cap).

68.6% of total supply is not yet circulating.

Trading 81.5% 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.

56/100

neutral

50 baseline + 6 flow imbalance (net accumulation 14% of $24.3M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $13.8M

  • smart-money accumulation $0K
  • whale accumulation $9.0M
  • exchange outflows $4.9M
  • buy swaps $0K

Distribution side · $10.5M

  • whale distribution $4.9M
  • exchange inflows $5.6M
  • 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 · 38%

  • market regime currently risk-on

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 17%

  • whale distribution observed ($4.9M/30d)
  • 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: $13.8M accumulation-side vs $10.5M 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 $4.9M vs inflows $5.6M (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: $13.8M accumulation-side vs $10.5M 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 $5.6M (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 · 2 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.

Price (USD)

$0.142978

Market cap

$449.2M

24h volume

$11.1M

Circulating supply

3,140,000,000

All-time high

$0.770814

From ATH

-81.45%

On-chain intelligence

Contract addresses

  • ethereum0xfa1c09fc8b491b6a4d3ff53a10cad29381b3f949
  • binance smart chain0xac23b90a79504865d52b49b327328411a23d4db2

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