Chains
| Chain | DeFi TVL ▾ | Stablecoins | DEX Vol 7d | Fees 7d | Revenue 7d | Staking TVL | Txns 7d | Active Addr 7d |
|---|---|---|---|---|---|---|---|---|
| Ethereum | $49.83B +19.0% | $149.01B +0.8% | $1.28B +52.9% | $10.65M +24.4% | $1.95M +24.9% | $41.55B +35.1% | 1.88M -23.5% | 563.7K -1.1% |
| Solana | $5.86B +21.0% | $16.58B +2.6% | $2.30B +53.8% | $13.26M +44.1% | $5.39M +34.2% | $5.42B +37.9% | — | — |
| BNB Chain | $5.66B +15.6% | $16.93B -3.1% | $1.68B +31.1% | $5.44M +205.2% | $1.89M +97.0% | — | — | — |
| Tron | $5.15B +7.1% | $94.22B +2.7% | $43.98M +31.9% | $277.66K +7.0% | $50.74K +4.7% | — | — | — |
| Bitcoin | $4.24B +21.2% | — | $509.40K +14.2% | $10.49K +8.7% | $1.54K +6.4% | — | 721.0K +11.7% | 476.7K -2.2% |
| Polygon | $800.24M -0.1% | $3.61B +3.7% | $172.83M +8.3% | $1.31M +14.6% | $679.62K +18.0% | — | 5.82M +4.8% | 435.4K +6.4% |
| Avalanche | $493.50M +17.2% | $1.53B -6.4% | $136.59M +223.2% | $314.89K +17.0% | $109.27K +133.1% | $181.11M +24.5% | — | — |
| Sui | $473.38M +14.9% | $471.30M +2.9% | $47.26M +110.0% | $107.33K -29.4% | $35.22K -63.9% | — | — | — |
| NEAR | $143.93M +56.0% | $105.55M -18.0% | $191.63M +168.0% | $146.08K +70.6% | $49.39K +201.3% | $0.00 | — | — |
| Cardano | $61.63M -9.6% | $68.24M +1.2% | $2.18M -7.5% | $13.88K +91.3% | $5.56K +77.2% | — | — | — |
| Aptos | $55.58M -5.8% | $1.13B -6.0% | $12.70M -27.3% | $37.80K -0.3% | $14.99K -43.8% | — | — | — |
| TON | $49.57M -15.7% | $770.96M -3.4% | $3.94M +15.5% | $1.10M +40.4% | $54.42K -22.7% | $180.04M +11.0% | — | — |
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
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