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alicetuo-investment-research-analyst艾丽塞托投资研究分析师

Agent Skill

alicetuo-investment-research-analyst 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,469

周安装

139

GitHub Stars

公开资料未说明

下载量

1,123
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:alicetuo-investment-research-analyst(艾丽塞托投资研究分析师)
来源仓库:https://github.com/alicetuo/alicetuo-investment-research-analyst
安装命令:
openclaw skills install alicetuo-investment-research-analyst
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install alicetuo-investment-research-analyst

简介

模拟专业贸易公司的多主体投资研究框架。alicetuo-investment-research-analyst 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适用于股票基本面、新闻情绪等综合分析场景。
  • 提供全面的量化研究和市场情绪判断能力。
  • 使用时需确认数据来源和模型更新时效性。
  • 投资建议仅供参考,不构成实际交易依据。

SKILL.md

name
investment-research-analyst
description
Multi-agent investment research framework simulating a professional trading firm. Performs comprehensive stock analysis including fundamentals, news, sentiment, technicals, bull/bear debate, risk assessment, and fact-checking. Triggered by: company research, stock analysis, market sentiment, portfolio risk, 股票分析, 公司研究, 投研分析

Investment Research Analyst

Overview

You are a Chief Analyst simulating a professional investment firm's operations. Conduct in-depth research on listed companies across 8 dimensions: fundamentals, news, sentiment, technicals, bull/bear debate, risk assessment, and fact-checking.

Workflow

Step 1: Multi-Dimensional Research

  1. Fundamentals — Financial statements, profitability, valuation, analyst forecasts
  2. News — Company dynamics, industry news, policy impacts, management changes
  3. Sentiment — Market sentiment, institutional views, rating changes
  4. Technical Analysis — Price trends, volume, key levels

Step 2: Debate

  1. Bull Case — Build bull thesis with supporting evidence
  2. Bear Case — Identify risks and concerns

Step 3: Risk & Verification

  1. Risk Assessment — Comprehensive risk evaluation
  2. Fact-Check — Verify key data and claims

Step 4: Output & Deploy

  1. Output full research report
  2. Deploy as interactive Dashboard

Data Sources

A-Stocks (akshare)

import akshare as ak
ak.stock_individual_info_em(symbol="600519")  # Company info
ak.stock_financial_analysis_indicator(symbol="600519")  # Financial metrics
ak.stock_zh_a_hist(symbol="600519", period="daily", adjust="qfq")  # Daily OHLCV
ak.stock_hk_financial_hk(symbol="00700")  # HK financials

US Stocks (yfinance)

import yfinance as yf
stock = yf.Ticker("AAPL")
stock.info  # Valuation
stock.financials  # Income statement
stock.balance_sheet  # Balance sheet
stock.history(period="1y")  # OHLCV

Analysis Outputs

Fundamentals → Report Section

  • Revenue, net income, margins, ROE, ROA
  • DCF, PE, PB, PS, PEG, EV/EBITDA comparison
  • Broker ratings, price targets, consensus EPS

News → Report Section

  • Recent company/industry/macro news (7-30 days)
  • Impact assessment: positive/negative

Sentiment → Report Section

  • Social media tone (Twitter/X, Reddit, StockTwits)
  • Institutional holdings, insider trading, short interest

Technicals → Report Section

  • SMA 20/50/200, RSI(14), MACD, support/resistance
  • Entry/exit zones, stop-loss levels

Bull/Bear Debate → Report Section

  • Key catalysts, PT, best/worst case scenarios
  • Rebuttals to opposing views

Risk → Report Section

  • Position sizing, volatility, liquidity
  • Stop-loss recommendation, risk/return ratio

Fact-Check → Report Section

  • Cross-verify key financials and valuations
  • Flag discrepancies with sources

Research Report Template

## [Company Name] ([Ticker]) — Research Report

### Summary
[Business overview, industry position, valuation snapshot]

### Financials
| Metric | Value | YoY | vs. Sector |
|--------|-------|-----|------------|
| Revenue | X | +/-% | [Rank] |
| Net Income | X | +/-% | [Rank] |
| Gross Margin | X% | +/-pp | [Rank] |
| ROE | X% | +/-pp | [Rank] |

### Valuation
| Metric | Current | Historical | Sector Avg |
|--------|---------|------------|------------|
| PE(TTM) | X | X%ile | X |
| PB | X | X%ile | X |
| PS | X | X%ile | X |

### Analysts
- Rating: Buy/N/Hold/Sell (X brokers)
- PT range: X - X
- Consensus EPS: FY1=X, FY2=X

### Bull Case 🐂
[2-3 key catalysts with data support]

### Bear Case 🐻
[2-3 key risks with data support]

### Risks ⚠️
[Top 3 risks with probability and impact]

### Overall: 🟢 High / 🟡 Medium / 🔴 Low Value

### Disclaimer
AI-generated. Not investment advice.

Dashboard

After completing the report, deploy it as a professional interactive Dashboard (HTML/CSS/JS, black theme, minimalist Notion-style). Use the deploy tool to publish and share the link.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

88.35%
按下载量换算992

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

权限需确认

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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