Overview
PEPS ranks this pair inside the Top 300 market-cap universe. That means BAT and O are liquid enough for an indexable comparison, with metrics refreshed on the hourly coin pipeline.
Quick winners
Full comparison
| Metric | BAT | O |
|---|---|---|
| Price | $0.066300 | $1,880.52 |
| Market Cap | $99.16M | $78.58M |
| FDV | — | — |
| Volume 24h | $127,746.13 | $4.59M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 258.00 | 295.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.64% | +3.64% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | BAT | O |
|---|---|---|
| 1H | — | — |
| 24H | +1.07% | -2.90% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | BAT | O |
|---|---|---|
| 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
When RSI and trend disagree across BAT and O, expect choppy relative performance until one side reclaims a clear structure.
Fundamentals
| Metric | BAT | O |
|---|---|---|
| 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
BAT
O
Pros and cons
Pros of BAT
- Higher ranking for BAT can translate into tighter spreads on major venues.
- Composite PEPS readings for BAT can surface clearer module agreement during trend phases.
- BAT typically benefits from deeper liquidity and broader market recognition inside the Top 300 set.
Cons of BAT
- When dominance narratives fade, BAT can lag hotter rotation names.
- Regulatory or macro headlines can hit BAT harder simply because it is more visible.
- Indicator stacks on BAT may stay stretched longer than expected in strong trends.
- Large-cap status for BAT can mean slower percentage upside versus high-beta alternatives.
Pros of O
- Diversifying versus BAT with O can change portfolio factor exposure.
- Active volume bursts on O sometimes precede sharper tactical moves.
- O can offer higher relative beta when market attention rotates toward its niche.
Cons of O
- Smaller book depth versus large caps can increase slippage for O.
- Higher volatility on O cuts both ways and demands stricter risk limits.
- Trend failures on O often travel faster than on more established assets.
Which looks stronger right now?
The “stronger” label here is descriptive, not predictive. BAT and O can alternate leadership as macro liquidity and narrative rotate.
AI summary
For readers asking which is “better”, the honest answer is conditional. BAT and O 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, BAT or O?
“Better” depends on horizon and risk. BAT leads on market cap today, while BAT leads the 24h move — neither is a guarantee.
Which has more upside potential, BAT or O?
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 BAT and O.
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. O 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 BAT, but longer windows can disagree.