Overview
From a portfolio lens, Quant ($879.50M) and Starknet ($166.99M) offer different beta to bitcoin cycles. The overview below keeps the facts first and the narrative second.
Quick winners
Full comparison
| Metric | QNT | STRK |
|---|---|---|
| Price | $60.45 | $0.024515 |
| Market Cap | $879.50M | $166.99M |
| FDV | — | — |
| Volume 24h | $6.77M | $9.29M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 72.00 | 178.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | QNT | STRK |
|---|---|---|
| 1H | — | — |
| 24H | -1.20% | -1.10% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | QNT | STRK |
|---|---|---|
| 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
Relative technical health favors reading both charts side by side. AI scores (58.40 vs 58.40) summarize PEPS modules, but supports and resistances still decide invalidation.
Fundamentals
| Metric | QNT | STRK |
|---|---|---|
| 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
Quant
Starknet
Pros and cons
Pros of Quant
- Higher ranking for Quant can translate into tighter spreads on major venues.
- Quant has an established coin page footprint on PEPS for continuous monitoring.
- QNT often anchors narratives that attract sustained media and analyst coverage.
Cons of Quant
- Large-cap status for Quant can mean slower percentage upside versus high-beta alternatives.
- Regulatory or macro headlines can hit Quant harder simply because it is more visible.
- Indicator stacks on Quant may stay stretched longer than expected in strong trends.
Pros of Starknet
- Diversifying versus Quant with Starknet can change portfolio factor exposure.
- Active volume bursts on STRK sometimes precede sharper tactical moves.
- If technical momentum aligns, Starknet may outperform on medium-term windows.
Cons of Starknet
- Smaller book depth versus large caps can increase slippage for Starknet.
- Weaker market-cap standing may leave Starknet more exposed to liquidity droughts.
- Relative underperformance versus Quant can persist through entire market regimes.
Which looks stronger right now?
If you weight capitalization and liquidity, Quant looks sturdier; if you weight 24h tape, Starknet is ahead. A balanced view treats both as incomplete signals.
AI summary
For readers asking which is “better”, the honest answer is conditional. Quant and Starknet 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, Quant or Starknet?
“Better” depends on horizon and risk. Quant leads on market cap today, while Starknet leads the 24h move — neither is a guarantee.
Which has more upside potential, QNT or STRK?
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 Quant and Starknet.
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. Starknet 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 Starknet, but longer windows can disagree.