arbitration-methodology
CommunityDevelop a 2-group arbitration methodology for market scenarios.
Finance & Accounting#market analysis#weight calibration#investment decision-making#arbitration methodology#signal arbitration
Authorduolongworld
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a framework for developing an arbitration methodology that can be used to make investment decisions based on expert signals across different market scenarios.
Core Features & Use Cases
- Scenario Design and Weight Configuration: Iteratively design and configure weights for three market scenarios (bullish, bearish, and range).
- Expert Signal Arbitration: Perform arbitration on signals from 7 expert groups based on scenario selection and weighted scoring.
- Weight Calibration: Calibrate weight values using historical signal data for improved accuracy.
- Standardized Reasoning Chain: Generate a standardized reasoning chain with consensus and contribution tracking.
- Use Case: For investors who want to leverage expert signals and make informed investment decisions across different market conditions.
Quick Start
Run the arbitration methodology Skill to analyze market signals and generate a standardized reasoning chain for the current market scenario.
Dependency Matrix
Required Modules
pandasnumpyscikit-learn
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: arbitration-methodology Download link: https://github.com/duolongworld/AI_Renaissance/archive/main.zip#arbitration-methodology Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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