Artificial Superintelligence Alliance

FETRank #124

$0.135109USD

-4.85% 24h-13.77% 7d-25.07% 30d

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

24h 7d 30d 90d 1y

line candles

2025-07-30 → 2026-07-29 UTC · $0.70783 → $0.135131 (-80.91%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

55/100

Elevated observed risk

High confidence· 100%

Price volatility · weight 25%75/100
Annualized volatility of 95% over the observed window.
Liquidity depth · weight 25%29/100
24h traded volume of $70,354,532 (23.24% of market cap).
Market size · weight 15%51/100
Market capitalization of $302,769,161.
Observed drawdown

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 $4.3M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $2.1M

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $2.1M
buy swaps $0K

Distribution side · $2.1M

whale distribution $2.1M
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 · 35%

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

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure ·

Price (USD)

$0.135109

Market cap

$302.8M

24h volume

$70.4M

Circulating supply

2,240,357,549

All-time high

$3.45

From ATH

-96.08%

On-chain intelligence

FET on ETHEREUM215 observed transfers · 2 whale events · holder analytics & structure scores

Contract addresses

ethereum0xaea46a60368a7bd060eec7df8cba43b7ef41ad85
cardanoe824c0011176f0926ad51f492bcc63ac6a03a589653520839dc7e3d9464554
osmosisibc/5D1F516200EE8C6B2354102143B78A2DEDA25EDE771AC0F8DC3C1837C8FD4447
binance smart chain0x031b41e504677879370e9dbcf937283a8691fa7f

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

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: $2.1M accumulation-side vs $2.1M 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 $2.1M 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 see no flow edge here and rely on price structure alone.
Data: observed 30d flows: $2.1M accumulation-side vs $2.1M 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.