Coil Trade Buy List 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 today's ranked buy list of top stock candidates across S&P 500, Nasdaq-100, and macro books, with scores and regime context for trading agents.
Which stocks to buy now — trading signals as a ranked buy list for agents. Returns today's top candidate names per book (S&P 500, Nasdaq-100, macro) across two lanes, risk-adjusted and swing, each with buy / entry / growth / hold scores, a leadership flag and an entry-window note — plus the regime mode telling you whether the list is actionable at all. Ranked judgment, not raw data. Refreshed ~5 min in market hours. Research, not advice.
A ranked list of top stock candidates per book (S&P 500, Nasdaq-100, macro) across two lanes (risk-adjusted and swing), each entry including buy/entry/growth/hold scores, a leadership flag, an entry-window note, and a regime mode field indicating whether conditions make the list actionable at all. Refreshed approximately every 5 minutes during market hours.
GEThttps://coil.trade/api/board/buylistUse this endpoint when an AI trading agent needs a ready-made, scored, ranked list of actionable stock candidates rather than building its own screening logic. Prefer it over raw market data feeds when you want pre-computed buy/entry/growth/hold scores and regime context in a single call. Ideal for agents that need to act quickly during market hours without maintaining their own ranking infrastructure.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"books": {
"spx": {
"label": "SPX",
"picks": {
"swing": [],
"riskadj": [
{
"buy": 71,
"sym": "CVX",
"hold": 82,
"lead": true,
"name": "Chevron",
"entry": 64,
"sector": "Energy",
"window": "READY"
}
]
},
"regime_mode": "NAMES_ON"
}
},
"product": "coil-buylist",
"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": "2026-07-17",
"book_order": [
"spx",
"qqq",
"macro"
]
}
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