Overview
This page compares AUSD and RAY with live PEPS metrics. Rankings (#143 vs #179) and liquidity profiles differ, so traders often use them for distinct roles rather than as perfect substitutes.
Quick winners
Full comparison
| Metric | AUSD | RAY |
|---|---|---|
| Price | $1,856.75 | $0.606500 |
| Market Cap | $242.19M | $163.42M |
| FDV | — | — |
| Volume 24h | $2.02M | $226,513.82 |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 143.00 | 179.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | AUSD | RAY |
|---|---|---|
| 1H | — | — |
| 24H | +0.00% | +0.13% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | AUSD | RAY |
|---|---|---|
| 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 | AUSD | RAY |
|---|---|---|
| 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
AUSD
RAY
Pros and cons
Pros of AUSD
- Higher ranking for AUSD can translate into tighter spreads on major venues.
- Composite PEPS readings for AUSD can surface clearer module agreement during trend phases.
- AUSD often anchors narratives that attract sustained media and analyst coverage.
Cons of AUSD
- When dominance narratives fade, AUSD can lag hotter rotation names.
- Indicator stacks on AUSD may stay stretched longer than expected in strong trends.
- Regulatory or macro headlines can hit AUSD harder simply because it is more visible.
Pros of RAY
- Narrative optionality around RAY can reprice quickly when catalysts appear.
- Active volume bursts on RAY sometimes precede sharper tactical moves.
- PEPS tracking for RAY still includes AI score and level context for monitoring.
Cons of RAY
- Weaker market-cap standing may leave RAY more exposed to liquidity droughts.
- Smaller book depth versus large caps can increase slippage for RAY.
- Incomplete fundamental coverage can hide operational or tokenomic risks.
Which looks stronger right now?
Statistically, higher market cap (AUSD) often correlates with deeper books, while hotter 24h prints (RAY) can fade. Position sizing should reflect that uncertainty.
AI summary
For readers asking which is “better”, the honest answer is conditional. AUSD and RAY 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, AUSD or RAY?
“Better” depends on horizon and risk. AUSD leads on market cap today, while RAY leads the 24h move — neither is a guarantee.
Which has more upside potential, AUSD or RAY?
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 AUSD and RAY.
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. AUSD 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 RAY, but longer windows can disagree.