Coil Top-Volume Scores is a paid API for AI agents from coil.trade, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Returns scored trading signals for the highest-liquidity S&P 500 stocks, ranked by 20-day average dollar volume within each sector.
Scores for the most-traded US stocks — the liquid mega-caps agents actually trade. One read returns the top names by 20-day average dollar volume in every S&P 500 sector, each scored: opportunity 0-100 plus board percentile, entry state (READY / SETUP / WAIT / CHASE / FALLING), hold strength, leadership flag, and the dollar-volume figure that ranked it. High-liquidity names only, no illiquid tail. Refreshed ~5 min in market hours. Research, not advice.
A list of the top-traded US stocks by sector, each with: opportunity score (0-100), board percentile rank, entry state (READY/SETUP/WAIT/CHASE/FALLING), hold strength value, leadership flag (true/false), and the 20-day average dollar volume figure used to rank them. Results cover every S&P 500 sector and are refreshed approximately every 5 minutes during market hours.
GEThttps://coil.trade/api/board/top-volumeUse this endpoint when you need a broad, cross-sector view of the most liquid S&P 500 stocks and their current trading setup quality in a single call. Prefer this over the single-name score endpoint when you want to screen the entire liquid universe at once, and over the sector drill-down when you want top names across all sectors rather than every name in one sector. Best for portfolio-level screening of tradeable mega-caps.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"product": "coil-top-volume",
"sectors": {
"Information Technology": [
{
"sym": "NVDA",
"name": "NVIDIA",
"state": "firing",
"hold_q": 88,
"entry_q": 62,
"opp_pct": 97,
"adv20_usd": 28400000000,
"is_leader": true
}
]
},
"freshness": {
"poll_hint": "Market open — this board recomputes about every 5 minutes; polling faster returns the same payload.",
"market_open": true,
"next_refresh_at": "<ISO-8601 UTC — always present; do not re-buy before this>",
"data_age_seconds": 142
},
"asof_daily": "2026-07-22"
}
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