Overview
This page compares HTX and JUP with live PEPS metrics. Rankings (#47 vs #87) and liquidity profiles differ, so traders often use them for distinct roles rather than as perfect substitutes.
Quick winners
Full comparison
| Metric | HTX | JUP |
|---|---|---|
| Price | $1,880.40 | $0.194700 |
| Market Cap | $1.61B | $647.36M |
| FDV | — | — |
| Volume 24h | $60.72M | $1.62M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 47.00 | 87.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.50% | +3.50% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | HTX | JUP |
|---|---|---|
| 1H | — | — |
| 24H | +0.50% | +0.83% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | HTX | JUP |
|---|---|---|
| RSI | 54.31 | 54.31 |
| MACD histogram | — | — |
| EMA20 | — | — |
| EMA50 | — | — |
| EMA100 | — | — |
| EMA200 | — | — |
| SMA50 | — | — |
| SMA200 | — | — |
| ATR | 66.45 | 66.45 |
| ADX | 20.44 | 20.44 |
| 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
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 | HTX | JUP |
|---|---|---|
| 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
HTX
JUP
Pros and cons
Pros of HTX
- Composite PEPS readings for HTX can surface clearer module agreement during trend phases.
- Market-cap scale on HTX may dampen some idiosyncratic shocks versus smaller peers.
- HTX has an established coin page footprint on PEPS for continuous monitoring.
Cons of HTX
- Large-cap status for HTX can mean slower percentage upside versus high-beta alternatives.
- Indicator stacks on HTX may stay stretched longer than expected in strong trends.
Pros of JUP
- Diversifying versus HTX with JUP can change portfolio factor exposure.
- PEPS tracking for JUP still includes AI score and level context for monitoring.
Cons of JUP
- Smaller book depth versus large caps can increase slippage for JUP.
- Weaker market-cap standing may leave JUP more exposed to liquidity droughts.
- Relative underperformance versus HTX can persist through entire market regimes.
- Trend failures on JUP often travel faster than on more established assets.
Which looks stronger right now?
Statistically, higher market cap (HTX) often correlates with deeper books, while hotter 24h prints (JUP) can fade. Position sizing should reflect that uncertainty.
AI summary
This AI-assisted summary starts from live PEPS fields. HTX holds market-cap $1.61B and rank #47; JUP shows $647.36M and #87. Where liquidity and flow matter, watch HTX. Where durability matters, watch HTX. AI composite scores (56.80/56.80) compress those tensions into a single lens. In probabilistic terms, the side winning more columns may have a nearer-term edge, but tails remain fat. Revisit after the next hourly refresh.
FAQ
Which is better, HTX or JUP?
“Better” depends on horizon and risk. HTX leads on market cap today, while JUP leads the 24h move — neither is a guarantee.
Which has more upside potential, HTX or JUP?
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 HTX and JUP.
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. HTX 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 JUP, but longer windows can disagree.