Overview
From a portfolio lens, XLM ($5.97B) and JST ($872.95M) offer different beta to bitcoin cycles. The overview below keeps the facts first and the narrative second.
Quick winners
Full comparison
| Metric | XLM | JST |
|---|---|---|
| Price | $0.174500 | $0.106840 |
| Market Cap | $5.97B | $872.95M |
| FDV | — | — |
| Volume 24h | $6.39M | $1.54M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 20.00 | 73.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | XLM | JST |
|---|---|---|
| 1H | — | — |
| 24H | +2.41% | +2.39% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | XLM | JST |
|---|---|---|
| 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
Relative technical health favors reading both charts side by side. AI scores (58.20 vs 58.20) summarize PEPS modules, but supports and resistances still decide invalidation.
Fundamentals
| Metric | XLM | JST |
|---|---|---|
| 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
XLM
JST
Pros and cons
Pros of XLM
- Market-cap scale on XLM may dampen some idiosyncratic shocks versus smaller peers.
- Composite PEPS readings for XLM can surface clearer module agreement during trend phases.
- XLM typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
Cons of XLM
- Indicator stacks on XLM may stay stretched longer than expected in strong trends.
- Regulatory or macro headlines can hit XLM harder simply because it is more visible.
Pros of JST
- If technical momentum aligns, JST may outperform on medium-term windows.
- PEPS tracking for JST still includes AI score and level context for monitoring.
- Narrative optionality around JST can reprice quickly when catalysts appear.
Cons of JST
- Higher volatility on JST cuts both ways and demands stricter risk limits.
- Weaker market-cap standing may leave JST more exposed to liquidity droughts.
Which looks stronger right now?
If you weight capitalization and liquidity, XLM looks sturdier; if you weight 24h tape, XLM is ahead. A balanced view treats both as incomplete signals.
AI summary
This AI-assisted summary starts from live PEPS fields. XLM holds market-cap $5.97B and rank #20; JST shows $872.95M and #73. Where liquidity and flow matter, watch XLM. Where durability matters, watch XLM. AI composite scores (58.20/58.20) 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, XLM or JST?
“Better” depends on horizon and risk. XLM leads on market cap today, while XLM leads the 24h move — neither is a guarantee.
Which has more upside potential, XLM or JST?
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 XLM and JST.
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. XLM 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 XLM, but longer windows can disagree.