Overview
PEPS ranks this pair inside the Top 300 market-cap universe. That means FDUSD and PYTH are liquid enough for an indexable comparison, with metrics refreshed on the hourly coin pipeline.
Quick winners
Full comparison
| Metric | FDUSD | PYTH |
|---|---|---|
| Price | $0.998100 | $0.039970 |
| Market Cap | $349.20M | $314.03M |
| FDV | — | — |
| Volume 24h | $11.96M | $1.07M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 116.00 | 120.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | FDUSD | PYTH |
|---|---|---|
| 1H | — | — |
| 24H | +0.02% | +1.40% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | FDUSD | PYTH |
|---|---|---|
| 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 | 67.00 | 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 | FDUSD | PYTH |
|---|---|---|
| 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
FDUSD
PYTH
Pros and cons
Pros of FDUSD
- Higher ranking for FDUSD can translate into tighter spreads on major venues.
- FDUSD has an established coin page footprint on PEPS for continuous monitoring.
- FDUSD typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
Cons of FDUSD
- Large-cap status for FDUSD can mean slower percentage upside versus high-beta alternatives.
- Regulatory or macro headlines can hit FDUSD harder simply because it is more visible.
- Indicator stacks on FDUSD may stay stretched longer than expected in strong trends.
- When dominance narratives fade, FDUSD can lag hotter rotation names.
Pros of PYTH
- Active volume bursts on PYTH sometimes precede sharper tactical moves.
- Diversifying versus FDUSD with PYTH can change portfolio factor exposure.
- If technical momentum aligns, PYTH may outperform on medium-term windows.
Cons of PYTH
- Trend failures on PYTH often travel faster than on more established assets.
- Weaker market-cap standing may leave PYTH more exposed to liquidity droughts.
- Relative underperformance versus FDUSD can persist through entire market regimes.
- Smaller book depth versus large caps can increase slippage for PYTH.
Which looks stronger right now?
Statistically, higher market cap (FDUSD) often correlates with deeper books, while hotter 24h prints (PYTH) can fade. Position sizing should reflect that uncertainty.
AI summary
For readers asking which is “better”, the honest answer is conditional. FDUSD and PYTH solve overlapping but not identical market jobs. On-chain and developer fields, when available, add slower-moving context beneath the tape. Missing fundamentals should be treated as unknown, not as zeros. If your thesis is long-term adoption, weight fundamentals and liquidity; if tactical, weight trend/momentum — and always define invalidation.
FAQ
Which is better, FDUSD or PYTH?
“Better” depends on horizon and risk. FDUSD leads on market cap today, while PYTH leads the 24h move — neither is a guarantee.
Which has more upside potential, FDUSD 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 FDUSD 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. FDUSD 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 PYTH, but longer windows can disagree.