Overview
Whether you arrived from a “JST vs KAG” query or from PEPS coin pages, this hub aggregates ranks, performance and module-backed signals into one canonical URL.
Quick winners
Full comparison
| Metric | JST | KAG |
|---|---|---|
| Price | $0.106460 | $1,874.22 |
| Market Cap | $871.00M | $197.43M |
| FDV | — | — |
| Volume 24h | $1.54M | $128,256.00 |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 74.00 | 161.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | JST | KAG |
|---|---|---|
| 1H | — | — |
| 24H | +2.15% | +1.80% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | JST | KAG |
|---|---|---|
| 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
Indicator stacks for JST/KAG currently lean on separate regimes: bearish versus bearish. Treat MACD and RSI as context, not as standalone entry triggers.
Fundamentals
| Metric | JST | KAG |
|---|---|---|
| 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
JST
KAG
Pros and cons
Pros of JST
- Market-cap scale on JST may dampen some idiosyncratic shocks versus smaller peers.
- Composite PEPS readings for JST can surface clearer module agreement during trend phases.
- JST typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
Cons of JST
- Indicator stacks on JST may stay stretched longer than expected in strong trends.
- Crowded positioning around JST sometimes amplifies squeeze or flush risk.
- When dominance narratives fade, JST can lag hotter rotation names.
Pros of KAG
- PEPS tracking for KAG still includes AI score and level context for monitoring.
- Narrative optionality around KAG can reprice quickly when catalysts appear.
- If technical momentum aligns, KAG may outperform on medium-term windows.
Cons of KAG
- Relative underperformance versus JST can persist through entire market regimes.
- Weaker market-cap standing may leave KAG more exposed to liquidity droughts.
- Incomplete fundamental coverage can hide operational or tokenomic risks.
Which looks stronger right now?
Data currently points to a probabilistic edge for JST on size and JST on activity. Neither reading guarantees future returns.
AI summary
This AI-assisted summary starts from live PEPS fields. JST holds market-cap $871.00M and rank #74; KAG shows $197.43M and #161. Where liquidity and flow matter, watch JST. Where durability matters, watch JST. AI composite scores (58.40/58.40) 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, JST or KAG?
“Better” depends on horizon and risk. JST leads on market cap today, while JST leads the 24h move — neither is a guarantee.
Which has more upside potential, JST or KAG?
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 JST and KAG.
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. JST 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 JST, but longer windows can disagree.