kslee9572

Trade Singal

專業領域v1.0.0
作者:kslee9572更新於 2026-05-18trade-signal@clawhub_kslee9572/trade-signal
金融分析#Investment#Stock Analysis

據 AlphaMoat 統計,截至 2026-10,Trade Singal 累計下載 4,928 次、獲 5 個星標,按累計下載量在本次參與排名的 10,914 個 AI 技能中排名第 5,943 位,在「專業領域」分類(1,228 個)中排名第 670 位。

列表預設按累計下載量排序,也可按星標排序;詳情頁排名按累計下載量計算。

累計下載
4928
星標
5
全站下載量排名
#5,943
全站前 55% · 「專業領域」前 55%
平台累計下載星標評論
ClawHub ↗31133-
SkillHub ↗49285—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

文件涵蓋業績、對比、分析師觀點、公告和市場主題,返回分析、程式碼、帶日期來源及可選目標或技術欄位。需檢查原始來源與時效;示例價格及模型建議不是已核實即時結果,也不授權執行交易。

資料釋出於 2026-10-27

可以用來做什麼

  • 整理帶引用的公司研究

什麼時候用

  • 審閱金融分析及其來源依據時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

研究這家公司的業績並對照來源與日期,不執行交易。

月度資料趨勢

累計下載4928
2066360351402026-03 · 累計下載 22782026-05 · 累計下載 26442026-07 · 累計下載 29852026-08 · 累計下載 31272026-09 · 累計下載 35502026-10 · 累計下載 492826-0326-0926-10
星標5
3452026-03 · 星標 32026-05 · 星標 42026-07 · 星標 42026-08 · 星標 52026-09 · 星標 52026-10 · 星標 526-0326-0926-10

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-104928—5
2026-093550—5
2026-083127+4.8%5
2026-072985—4
2026-052644—4
2026-032278—3

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。

10 KB · ClawHub v1.0.0
---
name: trade-signal
version: 1.0.0
description: Real-time trade signals with executable Buy/Sell/Hold recommendations for stocks. Use when asked about trading decisions, stock analysis, technicals, buy/sell calls, earnings plays, price targets, analyst ratings, entry/exit points, portfolio rebalancing, or any investment decision requiring actionable intelligence. Supports US + Global markets, Asia emerging markets, individual stocks, ETFs, and options strategies. 
homepage: https://terminal-x.ai
metadata: {"category":"finance","api_base":"https://terminal-x.ai/api"}
---

# Trade Signal
展開全部(共 316 行)
Buy/Sell/Hold Trade Signals for AI agents. Transform complex market intelligence into clear, executable Buy/Sell/Hold recommendations on global stocks and other public securities. Trade-signal gives specific price targets on any given securities, real-time data and institution-grade trade thesis. Trade-signal is forward looking but also capable of technical and fundamental analysis on current/historical price actions, with a qualitative and quantitiave explanation as to why a certain securities (stock) price moved the way it did. 

## Quick Start

```bash
# Get financial analysis
./scripts/search.sh "What is NVDA's revenue growth?"

# Company comparison
./scripts/search.sh "Compare AAPL and MSFT gross margins"

# Analyst sentiment
./scripts/search.sh "What are analysts saying about Tesla?"
```

**Base URL:** `https://terminal-x.ai/api`

---

## Features

### 📊 Research Capabilities

| Query Type | Examples |
|------------|----------|
| **Earnings Analysis** | Revenue, EPS, guidance, YoY growth |
| **Company Comparisons** | Side-by-side metrics across competitors |
| **Analyst Coverage** | Price targets, ratings, investment thesis |
| **Management Commentary** | CEO/CFO statements from earnings calls |
| **SEC Filings** | 10-K, 10-Q, 8-K analysis |
| **Market Trends** | Sector analysis, macro themes |

Each response includes:
- **Answer**: AI-generated analysis with numbered citations [1], [2], etc.
- **Tickers**: Relevant stock symbols identified
- **Sources**: Full citation list with titles and publication dates

### 📈 Market Coverage

**37,565 Global Tickers + 6,104 ETFs** across all major exchanges:

| Region | Tickers | ETFs |
|--------|---------|------|
| **US** (incl. ADRs) | 7,301 | 4,979 |
| **Western Europe** | 11,123 | — |
| **Canada** | 4,690 | — |
| **Japan** | 3,873 | 200 |
| **Korea** | 3,856 | 500 |
| **Hong Kong** | 2,638 | 176 |
| **Shanghai** | 2,315 | — |
| **Taiwan** | 1,072 | 200 |
| **Singapore** | 565 | 49 |
| **Other** | 132 | — |

**Asset Classes**: Global Equities, ETFs, Global macro, FX, commodities, crypto content available.

### 🔬 Data Sources

| Source | Data Type |
|--------|-----------|
| **Wall Street Research** | Analyst reports, investment thesis from Goldman, Morgan Stanley, JP Morgan, Citi, UBS, Bank of America, Stifel, etc. |
| **Analyst Actions** | Upgrades, downgrades, initiations, PT changes |
| **SEC Filings** | 10-K, 10-Q, 8-K, insider transactions, 13F holdings, 13D, 13G, DEF14A |
| **Earnings Transcripts** | Full call transcripts from  earnings, M&A calls, management discussions |
| **Real-Time News** | Bloomberg, Reuters, CNBC, FT, WSJ |
| **Company Presentations** | Investor day materials, guidance updates |

---

## Usage

### Using the Script

The included script handles URL encoding automatically:

```bash
# Earnings query
./scripts/search.sh "What was NVIDIA's revenue last quarter?"

# Comparison query
./scripts/search.sh "How does Apple's gross margin compare to Samsung?"

# Analyst query
./scripts/search.sh "What did Goldman Sachs say about Microsoft?"

# Management commentary
./scripts/search.sh "What did Tim Cook say about AI in the latest earnings call?"
```

---

## Response Format

Running the script returns JSON:

```json
{
  "query": "Should I buy NVDA before earnings?",
  "tickers": ["NVDA", "AMD", "GOOGL"],
  "tradeSignal": "HOLD",
  "priceTarget": {
    "entry": null,
    "exit": "$185-190",
    "stopLoss": "$175",
    "timeHorizon": "T+1 to T+3"
  },
  "agentAnswer": "**Hold current position: Sell at $185-190 on any post-earnings bounce within T+1 to T+3.**\n\nNVDA closed at $181.36 and trades at $180.88 after hours. Despite consistent earnings beats since August 2024, the stock has exhibited a persistent sell-the-fact pattern, declining in 4 of the last 5 post-earnings sessions. [1]\n\nOptions markets price a 6.68% implied move ($12.13 swing) for the November 19 after-hours release. [2]",
  "sources": [
    {
      "refId": 1,
      "sourceTitle": "Nvidia Earnings Have Become a Consistent Sell-the-Fact Event",
      "sourceName": ["Bloomberg"],
      "datePublished": "2024-11-18T14:30:42Z"
    },
    {
      "refId": 2,
      "sourceTitle": "NVDA Options Implied Move Analysis",
      "sourceName": ["Goldman Sachs"],
      "datePublished": "2024-11-19T09:00:00Z"
    }
  ],
  "technicals": {
    "rsi": 62.4,
    "macd": "bullish crossover",
    "support": "$175",
    "resistance": "$190",
    "trend": "neutral"
  },
  "relatedAnalysis": [
    "AMD earnings correlation",
    "Semiconductor sector momentum"
  ]
}
```

| Field | Description |
|-------|-------------|
| `query` | Your original question |
| `tickers` | Relevant stock tickers |
| `tradeSignal` | BUY, SELL, or HOLD recommendation |
| `priceTarget` | Entry, exit, stop loss, time horizon |
| `agentAnswer` | AI analysis with citation references [1], [2] |
| `sources` | Citations with title, source name, date |
| `technicals` | RSI, MACD, support/resistance, trend |
| `relatedAnalysis` | Related research topics |

---

## Sample Output

### Example 1: Earnings Analysis

**Query:** `./scripts/search.sh "What was Apple's iPhone revenue last quarter?"`

```
📊 **Apple iPhone Revenue Analysis**

Apple reported iPhone revenue of $46.2 billion in Q4 FY2024, up 6% year-over-year
and representing 52% of total company revenue. [1]

Management noted strong demand for iPhone 15 Pro models, with the Pro Max seeing
"record upgrade rates" according to CFO Luca Maestri. [2] Average selling price
increased to approximately $925, driven by mix shift toward Pro models.

Tim Cook highlighted particular strength in emerging markets, with India revenue
growing double-digits for the fifth consecutive quarter. [2]

**Sources:**
[1] Apple Inc. Q4 FY2024 10-Q Filing - SEC
[2] Apple Q4 FY2024 Earnings Call Transcript - October 2024
```

### Example 2: Company Comparison

**Query:** `./scripts/search.sh "Compare Microsoft and Google cloud revenue growth"`

```
📊 **Cloud Revenue Comparison: Microsoft vs Google**

**Microsoft Azure:**
- Q4 2024 Revenue: $25.9 billion
- YoY Growth: 29%
- Market Position: #2 behind AWS [1]

**Google Cloud:**
- Q4 2024 Revenue: $9.2 billion
- YoY Growth: 26%
- First full year of profitability achieved [2]

Microsoft maintains significant scale advantage with Azure revenue nearly 3x
Google Cloud. However, Google Cloud achieved operating profitability for the
first time in 2024, with operating income of $1.9 billion vs. losses in
prior years. [2]

**Sources:**
[1] Microsoft Q4 2024 Earnings Call Transcript
[2] Alphabet Q4 2024 10-Q Filing - SEC
```

### Example 3: Analyst Coverage

**Query:** `./scripts/search.sh "What are analysts saying about NVIDIA?"`

```
📊 **NVIDIA Analyst Sentiment**

Wall Street remains overwhelmingly bullish on NVIDIA with 45 Buy ratings,
3 Hold, and 0 Sell. Average price target: $950 (18% upside). [1]

**Recent Actions:**
- Goldman Sachs: Reiterated Buy, PT $1,000 — "AI infrastructure spend
  remains in early innings" [2]
- Morgan Stanley: Overweight, PT $950 — Raised estimates on Blackwell
  demand visibility [3]
- Bank of America: Buy, PT $925 — "Data center TAM expansion continues
  to exceed expectations" [1]

Key debate centers on sustainability of 70%+ gross margins as competition
from AMD MI300X intensifies in 2025. [3]

**Sources:**
[1] Bloomberg Analyst Consensus Data - January 2025
[2] Goldman Sachs NVDA Initiation Report - January 15, 2025
[3] Morgan Stanley Semiconductor Research Note - January 12, 2025
```

---

## Integration

### With AI Agents

The agent will automatically use this skill when asked:
- "What is Apple's revenue?"
- "Compare NVDA and AMD"
- "What did the CEO say about guidance?"
- "Summarize Tesla's latest 10-K"
- "What are analysts saying about Microsoft?"
- "How did Meta's ad revenue perform?"

### Example Agent Flow

```
1. User: "How is NVIDIA doing?"
2. Agent: [calls search.sh "NVIDIA financial performance and outlook"]
3. Agent: "NVIDIA reported record Q3 revenue of $35.1B, up 94% YoY.
   Data center segment drove growth at $30.8B. Analysts maintain
   Buy ratings with average PT of $950. Key catalyst: Blackwell
   architecture ramp in Q1 2025."
4. User: "What about their margins?"
5. Agent: [calls search.sh "NVIDIA gross margin and profitability"]
6. Agent: "Gross margin was 75% in Q3, up from 70% YoY. Management
   expects margins to moderate to 73-74% as Blackwell ramps due to
   initial yield curves, per CFO commentary on earnings call."
```

### Combining with Other Skills

```bash
# Get financial data then execute trade
./scripts/search.sh "AAPL earnings analysis" && trade-signal query "Should I buy AAPL?"

# Research before news check
./scripts/search.sh "Tesla delivery numbers" && finance-news news TSLA
```

---

## Tips for Better Results

| Do This | Not This |
|---------|----------|
| "NVIDIA data center revenue Q4 2024" | "NVIDIA revenue" |
| "AAPL gross margin vs MSFT" | "Apple margins" |
| "What did Jensen Huang say about AI demand" | "NVDA CEO comments" |
| "Tesla deliveries Q3 2024 vs Q3 2023" | "Tesla cars" |

**Best Practices:**
- **Be specific** — Include timeframes, metrics, and company names
- **Use ticker symbols** — "AAPL" is clearer than "Apple"
- **Ask direct questions** — "What is..." or "How much..." get precise answers
- **Include context** — "last quarter", "FY 2024", "year-over-year"

---

## Error Handling

```json
{
  "code": 400,
  "message": "Missing or invalid query parameter"
}
```

| Error Code | Meaning | Resolution |
|------------|---------|------------|
| 400 | Missing query | Include `?query=` parameter |
| 500 | Server error | Retry request |

---

## Support

- **Homepage:** https://terminal-x.ai
- **Email:** [email protected]

「專業領域」分類下的熱門技能

AIGC過程存證服務專業領域

AIGC創作過程自動存證技能。自動識別創作平台與生成工具,將創作過程記錄存證並蓋有公安備案電子印章,具備可信時間戳,可以在全國電子印章互認平台核驗。

↓ 390萬★ 7u_c2c77b5f
防詐專家專業領域

反電信網路詐騙(反詐)專家技能。當用戶描述一個疑似詐騙的場景、簡訊、電話、連結、聊天記錄、App、投資平台、招聘資訊或轉賬要求,並詢問「這是不是詐騙」「要不要轉錢」「怎麼止損」「錢還能不能追回來」,或需要識別詐騙話術、拆解騙局結構、生成報案材料與取證清單時使用。同時在對話中主動嗅探「轉賬、驗證碼、螢幕共享、安全帳戶、保證金、刷單、穩賺、百萬保障、跑分」等風險詞並插入預警,即使對方並未詢問反詐。適用場景還包括:家屬求助勸阻疑似被騙的親人、企業/銀行/支付機構/網際網路平台做涉詐帳戶識別與交易監測規則、涉詐資金鍊(跑分、卡四件套、GOIP)分析、反詐合規與員工培訓、反詐實戰演練。

↓ 168.7萬★ 4user_e9185b15
全國電子印章互認平台專業領域

電子印章公安備案、全網互認,實現所有格式檔案電子簽章與影片確權,覆蓋全國所有CA廠商自2005年以來的全量電子簽章資料,無論由哪個地區、哪套系統、哪家CA機構簽發,均可精準校驗與互認。

↓ 141.6萬★ 8u_c2c77b5f
baozheng-skills專業領域

包拯.Skills你身邊的專家律師團 — 專業法律諮詢 + 要素式/通用起訴狀起草 + 刑事專項材料輔助 + 法條分析與法規檢索。flk.npc.gov.cn API即時法條優先,不可用時AI知識庫降級兜底,**法條來源按四檔標註可核驗(已核驗-flk API / 已核驗-單源 / 已引-離線庫 / 未核驗-模型生成),交付末尾附法條/事實/金額/程式分項置信度**;以22類法律領域覆蓋矩陣約束路由邊界;支援35個起訴狀模板、5類刑事專項材料輔助;內建Logic Doctor邏輯自檢、訴訟時效追蹤及10類異常容錯處理(含連續失敗熔斷);漸進式意圖收斂協議(3輪狀態機);混合意圖自動任務拆解(按依賴排序→合併→順序執行);含反模式清單與危機干預出口(自殺/家暴/未成年人侵害先於一切法律分析)。非標準案由自動使用通用模板。

↓ 52.7萬★ 2user_814dbe54
律師助手專業領域

律師AI辦案工作臺:從接案到結案全流程提效——案件分析、要件梳理、文書初稿、證據質證、法庭攻防演練、賠償與費用計算、期限提醒、復盤歸檔;覆蓋民事、刑事、勞動、非訴、破產、執行、行政、仲裁八大領域,111 個專家技能;法條可核驗、結論可複核。

↓ 50.7萬★ 77user_cd0fcd93
包拯.SKILL專業領域

包拯.Skills你身邊的專家律師團 — 專業法律諮詢 + 要素式/通用起訴狀起草 + 刑事專項材料輔助 + 法條分析與法規檢索。flk.npc.gov.cn API即時法條優先,不可用時AI知識庫降級兜底,**法條來源按四檔標註可核驗(已核驗-flk API / 已核驗-單源 / 已引-離線庫 / 未核驗-模型生成),交付末尾附法條/事實/金額/程式分項置信度**;以22類法律領域覆蓋矩陣約束路由邊界;支援35個起訴狀模板、5類刑事專項材料輔助;內建Logic Doctor邏輯自檢、訴訟時效追蹤及10類異常容錯處理(含連續失敗熔斷);漸進式意圖收斂協議(3輪狀態機);混合意圖自動任務拆解(按依賴排序→合併→順序執行);含反模式清單與危機干預出口(自殺/家暴/未成年人侵害先於一切法律分析)。非標準案由自動使用通用模板。

↓ 42.4萬★ 41user_741dc82b
專利初稿助手專業領域

基於技術交底書生成專利申請初稿。技術交底書內容至少包含技術問題、解決方案、技術效果。內建的推理、視覺、多模態、數學、函式、模擬等模型底座均為國產,國外模型0使用,可放心食用。 近期安裝量暴增感謝支援,不少私信希望能力提升但這已是國產極限,我們不必追求最強技能,達到及格即可。學習交流歡迎聯絡微訊號A26dian4

↓ 36.9萬★ 48user_9c63fdb4
露禾論文寫作助手(免費版pro)專業領域

露禾論文寫作助手(免費版):一句話生成引用可溯源、不編造的專業學術論文,按國標 GB/T 7714 插入真實文獻引用,中英文 3000/5000/8000 字,一鍵匯出 Word。說「寫論文 / 幫我寫論文」即可使用。

↓ 35萬★ 18u_a3c224a2

kslee9572 的其他技能

資料月份:2026-10 · 下載/星標數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。