Overview
This page compares BEAT and PYTH with live PEPS metrics. Rankings (#65 vs #122) and liquidity profiles differ, so traders often use them for distinct roles rather than as perfect substitutes.
Quick winners
Full comparison
| Metric | BEAT | PYTH |
|---|---|---|
| Price | $1,874.22 | $0.039740 |
| Market Cap | $1.02B | $312.96M |
| FDV | — | — |
| Volume 24h | $38.23M | $986,752.35 |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 65.00 | 122.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | BEAT | PYTH |
|---|---|---|
| 1H | — | — |
| 24H | -31.50% | +2.42% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | BEAT | 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 | 63.00 | 63.00 |
| Signal | neutral | neutral |
Automatic technical analysis
When RSI and trend disagree across BEAT and PYTH, expect choppy relative performance until one side reclaims a clear structure.
Fundamentals
| Metric | BEAT | 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
BEAT
PYTH
Pros and cons
Pros of BEAT
- BEAT has an established coin page footprint on PEPS for continuous monitoring.
- Higher ranking for BEAT can translate into tighter spreads on major venues.
- BEAT typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
- Composite PEPS readings for BEAT can surface clearer module agreement during trend phases.
Cons of BEAT
- Large-cap status for BEAT can mean slower percentage upside versus high-beta alternatives.
- Regulatory or macro headlines can hit BEAT harder simply because it is more visible.
- Indicator stacks on BEAT may stay stretched longer than expected in strong trends.
Pros of PYTH
- Narrative optionality around PYTH can reprice quickly when catalysts appear.
- Active volume bursts on PYTH sometimes precede sharper tactical moves.
- If technical momentum aligns, PYTH may outperform on medium-term windows.
- Diversifying versus BEAT with PYTH can change portfolio factor exposure.
Cons of PYTH
- Weaker market-cap standing may leave PYTH more exposed to liquidity droughts.
- Trend failures on PYTH often travel faster than on more established assets.
- Relative underperformance versus BEAT can persist through entire market regimes.
Which looks stronger right now?
The “stronger” label here is descriptive, not predictive. BEAT and PYTH can alternate leadership as macro liquidity and narrative rotate.
AI summary
For readers asking which is “better”, the honest answer is conditional. BEAT 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, BEAT or PYTH?
“Better” depends on horizon and risk. BEAT leads on market cap today, while PYTH leads the 24h move — neither is a guarantee.
Which has more upside potential, BEAT 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 BEAT 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. BEAT 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.