Investment Framework Bundle for Openclaw

A comprehensive 3-stage investment analysis system for evaluating stocks across global markets using cold logic, multi-agent debates, and deep AI industry chain mapping.

chase-zhouchang
v1.0.0
Apr 12, 2026
0
1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install investment-framework-bundle

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install investment-framework-bundle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Investment Framework Bundle?

The Investment Framework Bundle is a professional-grade research workflow designed for sophisticated AI agents. It guides users through a rigorous three-stage analysis process: V1 (Logic Decoupling), V2 (Bull/Bear Debate), and V3 (Deep AI Industry Chain Analysis). By utilizing Openclaw Skills, investors can transition from emotional trading to a structured, data-driven approach that encompasses everything from survival rules to quantitative screening. This skill supports A, H, and US markets, providing a Wall Street-level pipeline for analyzing semiconductor, software, and infrastructure investments.

The framework is built to be objective and unforgiving, prioritizing capital preservation through strict risk-control protocols. Whether you are assessing a single stock or mapping an entire sector, this tool ensures that every investment thesis is stress-tested against opposing viewpoints and historical valuation benchmarks.

Investment Framework Bundle Use Cases

  • Evaluating potential stock purchases or bottom-fishing opportunities with high precision.
  • Conducting deep-dive research into AI industry chain stocks, from GPUs to application layers.
  • Running structured bull vs. bear debates to identify and minimize cognitive biases.
  • Verifying stock valuations using Reverse DCF models and historical PE/PB percentiles.
  • Managing portfolio risk through strict survival rules and objective stop-loss mechanisms.

How Investment Framework Bundle Works

  1. The workflow begins with V1 Cold Logic analysis, filtering the target through survival rules and the A-X framework (Market, Opponent, Error, Price, Signal, Position, Profit, Time, and Stop Loss).
  2. The skill performs triple value verification using Reverse DCF, relative valuation comparison, and moat strength testing (ROIC > 15%).
  3. Upon passing V1, the system moves to V2 for a structured multi-agent debate where 'Bull' and 'Bear' personas collect facts across fundamental, sentiment, macro, and technical dimensions.
  4. If the target involves the AI sector, V3 Deep Research is triggered to map the asset across five layers of the AI industry chain: Compute, Infrastructure, Cloud, Application, and Valuation.
  5. The process concludes with a synthesized report featuring a quantified score, actionable entry/exit targets, and a catalyst calendar.

Investment Framework Bundle Setup

To utilize this investment system within Openclaw Skills, you must provide the ticker or name of a financial instrument. Use the following triggers to initialize the specific stage of the workflow:

# Initialize stage V1 analysis
"Help me analyze [Ticker] using the investment framework."

# Trigger a stage V2 Bull/Bear debate
"Run a V2 debate for [Ticker]."

# Execute a V3 deep dive for AI stocks
"Perform a V3 AI industry chain deep research on [Ticker]."

Investment Framework Bundle Data Schema & Taxonomy

The skill organizes its analysis into a structured metadata taxonomy for high clarity and actionable output:

Module Key Data Points
A-X Framework Market conditions, Opponent behavior, Error mechanisms, Price deviation, Entry signals, Position sizing, Profit targets, Time limits, Stop-loss events
AI Industry Layers 1. Compute (GPU/HBM), 2. Infrastructure (Data Centers/Power), 3. Cloud Services, 4. Application Layer, 5. Valuation Methodology
Debate Dimensions Fundamentals (Revenue/Cash Flow), Sentiment (Analyst ratings), Macro (Policy/Industry trends), Technicals (MACD/RSI/Support)

Investment Framework Bundle Advanced Features

  • Multi-agent simulation for adversarial cross-examination between bull and bear research roles.
  • Reverse DCF modeling to calculate market-implied growth expectations and identify ridiculous valuation gaps.
  • Quantitative screening filters for liquidity (Market Cap > $5B), growth (YoY > 30%), and Forward P/E thresholds.
  • Qualitative scoring system (+/- points) for AI product commercialization, management vision, and moat strength.
  • Integration with curated high-quality data sources for US, HK, and A-share markets including The Information and StockAnalysis.

SKILL.md


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