traditional-model-fusion
CommunityAnalyze and interpret stock data with technical indicators using four models
Finance & Accounting#technical indicators#stock analysis#investment analysis#data interpretation#signal fusion
Authorduolongworld
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill analyzes stock data using four different technical models, providing a comprehensive interpretation of the results.
Core Features & Use Cases
- Technical Analysis: Analyzes stock data using volume price momentum, trend tracking, oscillators, and钝化/背离 models.
- Signal Fusion: Combines the signals from all four models to provide a unified direction and confidence level.
- Output: Generates a JSON file with detailed analysis and a markdown report with interpretation.
Quick Start
Use the traditional-model-fusion skill to analyze the stock data in 'stock_data.csv'.
Dependency Matrix
Required Modules
numpyrequests
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: traditional-model-fusion Download link: https://github.com/duolongworld/AI_Renaissance/archive/main.zip#traditional-model-fusion Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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