Overview
From a portfolio lens, JST ($863.05M) and FRXUSD ($109.72M) offer different beta to bitcoin cycles. The overview below keeps the facts first and the narrative second.
Quick winners
Full comparison
| Metric | JST | FRXUSD |
|---|---|---|
| Price | $0.105580 | $1,861.70 |
| Market Cap | $863.05M | $109.72M |
| FDV | — | — |
| Volume 24h | $1.47M | $878,310.00 |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 74.00 | 245.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | JST | FRXUSD |
|---|---|---|
| 1H | — | — |
| 24H | +1.68% | +0.00% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | JST | FRXUSD |
|---|---|---|
| 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 | 65.00 | 65.00 |
| Signal | neutral | neutral |
Automatic technical analysis
Automated technical notes for this pair highlight bearish conditions on JST and bearish on FRXUSD. Volatility differences can amplify short-term gaps.
Fundamentals
| Metric | JST | FRXUSD |
|---|---|---|
| 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
FRXUSD
Pros and cons
Pros of JST
- Composite PEPS readings for JST can surface clearer module agreement during trend phases.
- Higher ranking for JST can translate into tighter spreads on major venues.
- Market-cap scale on JST may dampen some idiosyncratic shocks versus smaller peers.
Cons of JST
- Regulatory or macro headlines can hit JST harder simply because it is more visible.
- Indicator stacks on JST may stay stretched longer than expected in strong trends.
- When dominance narratives fade, JST can lag hotter rotation names.
Pros of FRXUSD
- Diversifying versus JST with FRXUSD can change portfolio factor exposure.
- Active volume bursts on FRXUSD sometimes precede sharper tactical moves.
- FRXUSD can offer higher relative beta when market attention rotates toward its niche.
Cons of FRXUSD
- Smaller book depth versus large caps can increase slippage for FRXUSD.
- Weaker market-cap standing may leave FRXUSD more exposed to liquidity droughts.
- Relative underperformance versus JST can persist through entire market regimes.
Which looks stronger right now?
Across winners above, no single coin dominates every column. Prefer scenarios: trend continuation favors the side with aligned momentum; mean-reversion favors the side stretched on RSI.
AI summary
For readers asking which is “better”, the honest answer is conditional. JST and FRXUSD 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, JST or FRXUSD?
“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 FRXUSD?
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 FRXUSD.
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.