Overview
This page compares RAY and IOTA with live PEPS metrics. Rankings (#180 vs #194) and liquidity profiles differ, so traders often use them for distinct roles rather than as perfect substitutes.
Quick winners
Full comparison
| Metric | RAY | IOTA |
|---|---|---|
| Price | $0.612800 | $0.033500 |
| Market Cap | $164.93M | $152.96M |
| FDV | — | — |
| Volume 24h | $199,196.69 | $175,021.75 |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 180.00 | 194.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | RAY | IOTA |
|---|---|---|
| 1H | — | — |
| 24H | +2.01% | +3.40% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | RAY | IOTA |
|---|---|---|
| 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 | 59.00 | 59.00 |
| Signal | neutral | neutral |
Automatic technical analysis
Indicator stacks for RAY/IOTA currently lean on separate regimes: bearish versus bearish. Treat MACD and RSI as context, not as standalone entry triggers.
Fundamentals
| Metric | RAY | IOTA |
|---|---|---|
| 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
RAY
IOTA
Pros and cons
Pros of RAY
- RAY often anchors narratives that attract sustained media and analyst coverage.
- RAY typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
- RAY has an established coin page footprint on PEPS for continuous monitoring.
Cons of RAY
- Crowded positioning around RAY sometimes amplifies squeeze or flush risk.
- Data gaps in niche fundamentals still apply — absence of a field is not confirmation.
- When dominance narratives fade, RAY can lag hotter rotation names.
Pros of IOTA
- If technical momentum aligns, IOTA may outperform on medium-term windows.
- Narrative optionality around IOTA can reprice quickly when catalysts appear.
- PEPS tracking for IOTA still includes AI score and level context for monitoring.
Cons of IOTA
- Incomplete fundamental coverage can hide operational or tokenomic risks.
- Relative underperformance versus RAY can persist through entire market regimes.
- Smaller book depth versus large caps can increase slippage for IOTA.
Which looks stronger right now?
Data currently points to a probabilistic edge for RAY on size and RAY on activity. Neither reading guarantees future returns.
AI summary
For readers asking which is “better”, the honest answer is conditional. RAY and IOTA 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, RAY or IOTA?
“Better” depends on horizon and risk. RAY leads on market cap today, while IOTA leads the 24h move — neither is a guarantee.
Which has more upside potential, RAY or IOTA?
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 RAY and IOTA.
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. RAY 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 IOTA, but longer windows can disagree.