Overview
From a portfolio lens, Algorand ($760.30M) and Raydium ($163.42M) offer different beta to bitcoin cycles. The overview below keeps the facts first and the narrative second.
Quick winners
Full comparison
| Metric | ALGO | RAY |
|---|---|---|
| Price | $0.084886 | $0.606450 |
| Market Cap | $760.30M | $163.42M |
| FDV | — | — |
| Volume 24h | $21.57M | $7.95M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 79.00 | 179.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | ALGO | RAY |
|---|---|---|
| 1H | — | — |
| 24H | +6.20% | -0.30% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | ALGO | 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
Relative technical health favors reading both charts side by side. AI scores (57.90 vs 57.90) summarize PEPS modules, but supports and resistances still decide invalidation.
Fundamentals
| Metric | ALGO | 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
Algorand
Raydium
Pros and cons
Pros of Algorand
- Algorand typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
- Market-cap scale on Algorand may dampen some idiosyncratic shocks versus smaller peers.
- Algorand has an established coin page footprint on PEPS for continuous monitoring.
Cons of Algorand
- Crowded positioning around ALGO sometimes amplifies squeeze or flush risk.
- Indicator stacks on Algorand may stay stretched longer than expected in strong trends.
- When dominance narratives fade, Algorand can lag hotter rotation names.
- Data gaps in niche fundamentals still apply — absence of a field is not confirmation.
Pros of Raydium
- PEPS tracking for Raydium still includes AI score and level context for monitoring.
- Raydium can offer higher relative beta when market attention rotates toward its niche.
- Active volume bursts on RAY sometimes precede sharper tactical moves.
Cons of Raydium
- Relative underperformance versus Algorand can persist through entire market regimes.
- Higher volatility on RAY cuts both ways and demands stricter risk limits.
- Trend failures on Raydium often travel faster than on more established assets.
Which looks stronger right now?
If you weight capitalization and liquidity, Algorand looks sturdier; if you weight 24h tape, Algorand is ahead. A balanced view treats both as incomplete signals.
AI summary
For readers asking which is “better”, the honest answer is conditional. Algorand and Raydium 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, Algorand or Raydium?
“Better” depends on horizon and risk. Algorand leads on market cap today, while Algorand leads the 24h move — neither is a guarantee.
Which has more upside potential, ALGO 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 Algorand and Raydium.
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. Algorand 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 Algorand, but longer windows can disagree.