Overview
This page compares Aptos and PYTH with live PEPS metrics. Rankings (#101 vs #120) and liquidity profiles differ, so traders often use them for distinct roles rather than as perfect substitutes.
Quick winners
Full comparison
| Metric | APT | PYTH |
|---|---|---|
| Price | $0.566000 | $0.040000 |
| Market Cap | $529.32M | $315.04M |
| FDV | — | — |
| Volume 24h | $2.74M | $1.08M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 101.00 | 120.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +5.39% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | APT | PYTH |
|---|---|---|
| 1H | — | — |
| 24H | +1.25% | +1.11% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | APT | PYTH |
|---|---|---|
| RSI | 34.62 | 49.02 |
| MACD histogram | — | — |
| EMA20 | — | — |
| EMA50 | — | — |
| EMA100 | — | — |
| EMA200 | — | — |
| SMA50 | — | — |
| SMA200 | — | — |
| ATR | 0.03 | 67.35 |
| ADX | 28.06 | 21.33 |
| Support | — | 1,827.82 |
| Resistance | 0.64 | 1,960.30 |
| Trend | bearish | bearish |
| Momentum | — | 67.00 |
| Signal | neutral | neutral |
Automatic technical analysis
Use the indicator table as a checklist: if momentum and trend align on one asset while the other diverges, relative-value setups become more interesting — still without certainty.
Fundamentals
| Metric | APT | PYTH |
|---|---|---|
| Consensus | — | — |
| Blockchain | — | — |
| TPS | — | — |
| Block time | — | — |
| Finality | — | — |
| Validators | — | — |
| Staking | — | — |
| TVL | — | — |
| Supply model | — | — |
| Inflation | — | — |
| Developer activity | 0.00 | — |
| Github activity | 0.00 | — |
| On-chain activity | — | — |
| Whale activity | — | — |
| Addresses | — | — |
| Gas fees | — | — |
Ecosystem
Aptos
PYTH
Pros and cons
Pros of Aptos
- Aptos typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
- Market-cap scale on Aptos may dampen some idiosyncratic shocks versus smaller peers.
- Higher ranking for Aptos can translate into tighter spreads on major venues.
Cons of Aptos
- Data gaps in niche fundamentals still apply — absence of a field is not confirmation.
- Regulatory or macro headlines can hit Aptos harder simply because it is more visible.
- Indicator stacks on Aptos may stay stretched longer than expected in strong trends.
Pros of PYTH
- PYTH can offer higher relative beta when market attention rotates toward its niche.
- If technical momentum aligns, PYTH may outperform on medium-term windows.
- Narrative optionality around PYTH can reprice quickly when catalysts appear.
Cons of PYTH
- Relative underperformance versus Aptos can persist through entire market regimes.
- Higher volatility on PYTH cuts both ways and demands stricter risk limits.
- Weaker market-cap standing may leave PYTH more exposed to liquidity droughts.
Which looks stronger right now?
Statistically, higher market cap (Aptos) often correlates with deeper books, while hotter 24h prints (Aptos) can fade. Position sizing should reflect that uncertainty.
AI summary
This AI-assisted summary starts from live PEPS fields. Aptos holds market-cap $529.32M and rank #101; PYTH shows $315.04M and #120. Where liquidity and flow matter, watch Aptos. Where durability matters, watch Aptos. AI composite scores (47.40/57.90) 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, Aptos or PYTH?
“Better” depends on horizon and risk. Aptos leads on market cap today, while Aptos leads the 24h move — neither is a guarantee.
Which has more upside potential, APT or PYTH?
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 Aptos and PYTH.
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. Aptos 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 Aptos, but longer windows can disagree.