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Intelligence

通过 Superior Trade 的扫描与单交易对接口，返回 Hyperliquid 山寨币及 HIP-3 市场按 Squeeze fuel、Stealth accumulation、Coiled spring、Basis flipping 四桶排序的实时机会，含引擎自选最佳时间框架、评分依据快照、推荐部署模板，并说明各桶的 AI Critic 关注点与解读口径。

superior-ai
superior-ai
热度 21.36
最近更新 2026-06-22 20:16:18
分类：数据依赖：第三方 API应用场景：市场分析 / 财务 / 研究 / 报告撰写

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add intelligence
Metadata
name
intelligence
description
Use when the user asks "what's hot", "what's moving", "any alpha", "show me squeeze setups", "what's the setup on ETH", "is SOL coiled", "should I deploy NEAR" or any market-scan / single-pair-drilldown question. Surfaces Superior Trade's live multi-bucket scoring across Hyperliquid alts + HIP-3 (stocks/indices/commodities/FX) — Squeeze fuel, Stealth accumulation, Coiled spring, Basis flipping. The engine picks the strongest timeframe (15m/1h/4h/24h) per pair per bucket; you don't pick one. Pairs in to the existing strategy → backtest → deployment workflow at api.superior.trade.
version
0.1.0
updated
"2026-05-09T00:00:00.000Z"

Intelligence

Live ranked alpha scan over Hyperliquid alts + HIP-3 markets. Returns the same data the Intelligence page at https://account.superior.trade/intelligence renders — bucket fits, per-pair best timeframes, snapshots, and recommended deploy templates.

Files in this skill

File What it covers
references/buckets.md The 4 buckets: Squeeze fuel, Stealth accumulation, Coiled spring, Basis flipping. Setup / Edge / Scoring + AI Critic concerns per bucket. Read this before presenting any scan output to the user.
references/api.md The two endpoints: GET /v2/intelligence/scan (list mode) and GET /v2/intelligence/setup/{pair} (single-pair detail). Response schemas + examples.
references/workflow.md Recommended end-to-end recipes: scan → pick → setup → backtest → deploy. How to translate a best_fit tuple into a /v2/backtesting call.
references/glossary.md Plain-English definitions for the trading terms in scan responses (funding, OI, basis, fees-paid notional, OI turnover, CVD, etc.). Reference this when explaining results to a non-trader.

When to call which endpoint

  • List question ("what's hot", "any squeeze setups", "show me coiled springs in HIP-3") → GET /v2/intelligence/scan with optional bucket and category filters.
  • Single-pair question ("tell me about ETH", "is NEAR a stealth setup", "should I deploy AVAX") → GET /v2/intelligence/setup/{pair}. Always do this BEFORE backtesting / deploying so the choice is grounded in current data.

Critical: do not improvise rankings

Both endpoints return live, ranked data. Never substitute a market scan from training data — prices are stale, the ranking framework is Superior's, and timeframes are picked by the engine. When presenting:

  1. Lead with the specific best_fit.bucket_title @ best_fit.timeframe (score) tuple per pair.
  2. Cite the snapshot fields that drove the score (e.g. for squeeze: pct_change_24h + funding_paid_notional_usd_per_yr).
  3. Mention bucket_fits only if asked why another bucket wasn't picked.
  4. Reference the AI Critic concerns from references/buckets.md before recommending a deploy.

Caveats

  • Majors (BTC / ETH / SOL) are excluded by design — this is for alt + HIP-3 alpha discovery. For majors, use the regular price/chart tools.
  • Pairs below $100K daily volume are filtered out as too thin for live deployment.
  • HIP-3 stocks (xyz:NVDA, xyz:AAPL, etc.) trade 24/7 but the underlying equities only trade during NYSE hours — see the US Market Closed warning in references/buckets.md § Stocks.
  • News sentiment is not part of the current scan. The buckets are price + positioning + flow; news comes from external context.