Overview
QNT vs APYUSD is one of the most watched crypto matchups. Beyond headline prices, this comparison blends market structure, technical readings and probabilistic context without promising outcomes.
Quick winners
Full comparison
| Metric | QNT | APYUSD |
|---|---|---|
| Price | $60.34 | $1,867.53 |
| Market Cap | $877.64M | $161.48M |
| FDV | — | — |
| Volume 24h | $755,748.40 | $241,422.00 |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 72.00 | 182.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | QNT | APYUSD |
|---|---|---|
| 1H | — | — |
| 24H | -1.93% | +0.30% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | QNT | APYUSD |
|---|---|---|
| RSI | 49.02 | 49.02 |
| MACD histogram | — | — |
| EMA20 | — | — |
| EMA50 | — | — |
| EMA100 | — | — |
| EMA200 | — | — |
| SMA50 | — | — |
| SMA200 | — | — |
| ATR | 67.35 | 67.35 |
| ADX | 21.33 | 21.33 |
| Support | 1,827.82 | 1,827.82 |
| Resistance | 1,960.30 | 1,960.30 |
| Trend | bearish | bearish |
| Momentum | 65.00 | 65.00 |
| Signal | neutral | neutral |
Automatic technical analysis
Indicator stacks for QNT/APYUSD currently lean on separate regimes: bearish versus bearish. Treat MACD and RSI as context, not as standalone entry triggers.
Fundamentals
| Metric | QNT | APYUSD |
|---|---|---|
| Consensus | — | — |
| Blockchain | — | — |
| TPS | — | — |
| Block time | — | — |
| Finality | — | — |
| Validators | — | — |
| Staking | — | — |
| TVL | — | — |
| Supply model | — | — |
| Inflation | — | — |
| Developer activity | — | — |
| Github activity | — | — |
| On-chain activity | — | — |
| Whale activity | — | — |
| Addresses | — | — |
| Gas fees | — | — |
Ecosystem
QNT
APYUSD
Pros and cons
Pros of QNT
- Market-cap scale on QNT may dampen some idiosyncratic shocks versus smaller peers.
- Higher ranking for QNT can translate into tighter spreads on major venues.
Cons of QNT
- Data gaps in niche fundamentals still apply — absence of a field is not confirmation.
- Indicator stacks on QNT may stay stretched longer than expected in strong trends.
- Large-cap status for QNT can mean slower percentage upside versus high-beta alternatives.
- Crowded positioning around QNT sometimes amplifies squeeze or flush risk.
Pros of APYUSD
- PEPS tracking for APYUSD still includes AI score and level context for monitoring.
- Diversifying versus QNT with APYUSD can change portfolio factor exposure.
Cons of APYUSD
- Higher volatility on APYUSD cuts both ways and demands stricter risk limits.
- Smaller book depth versus large caps can increase slippage for APYUSD.
Which looks stronger right now?
Data currently points to a probabilistic edge for QNT on size and QNT on activity. Neither reading guarantees future returns.
AI summary
This AI-assisted summary starts from live PEPS fields. QNT holds market-cap $877.64M and rank #72; APYUSD shows $161.48M and #182. Where liquidity and flow matter, watch QNT. Where durability matters, watch QNT. AI composite scores (57.90/57.90) compress those tensions into a single lens. In probabilistic terms, the side winning more columns may have a nearer-term edge, but tails remain fat. Revisit after the next hourly refresh.
FAQ
Which is better, QNT or APYUSD?
“Better” depends on horizon and risk. QNT leads on market cap today, while APYUSD leads the 24h move — neither is a guarantee.
Which has more upside potential, QNT or APYUSD?
Higher-beta assets can move more in both directions. Use performance tables and volatility, not headlines, to judge potential ranges.
Which is less risky right now?
Lower volatility and deeper liquidity usually imply milder path risk, but crypto tails remain large for both QNT and APYUSD.
Which has stronger developer activity?
Check the fundamentals table for developer/github fields when populated. Missing values mean the feed has no reliable reading yet.
Which looks more decentralized?
Decentralization is multi-dimensional (validators, client diversity, token distribution). This page surfaces available consensus/validator fields without over-claiming.
Which has lower fees?
Fee comparisons belong to each network’s fee market. Where gas/fee metrics exist in fundamentals, compare them; otherwise verify on explorers.
Which is better for investing?
Investing choices need personal constraints. Use this comparison as research input, then size positions with an explicit invalidation plan.
Which is better for staking?
If staking fields are present, compare yield mechanics and lockups off-platform. Staking returns are not risk-free.
Which is more used day to day?
Volume, on-chain activity and ecosystem links are practical usage proxies. QNT currently leads traded volume on this snapshot.
Which has the better recent performance?
See the performance table across 1h through 1y. The 24h leader is APYUSD, but longer windows can disagree.