Student Builds Personal Wealth Advisor with Claude Code CLI

Claude Code CLI Wealth Advisor System
A 19-year-old student built a personal wealth advisor system using Claude Code CLI that provides institutional-grade analysis rather than basic stock tips. The system runs entirely on a Claude Max subscription with no API costs and is available as open source on GitHub.
System Components
The system integrates several data sources and features:
- Pulls live market data using yfinance
- Collects macro indicators from FRED and ECB
- Gathers news data via Brave Search
- Feeds all data into Claude Code CLI with a CFA-style system prompt
- Sends Telegram briefings twice weekly
- Includes memory functionality to avoid repeating recommendations and track whether previous advice worked
- Allows interactive chatting, deep analysis of specific tickers, and trade logging
Practical Results
The system has demonstrated several practical capabilities:
- Identified insider selling patterns
- Calculated EUR/USD currency exposure
- Recommended doing nothing during extreme fear markets instead of panic-buying
- Generated actionable briefings that surprised the creator with their insight
Technical Implementation
The project is open source at github.com/Kingler16/claudefolio. It represents a practical application of Claude Code CLI for financial analysis, showing how developers can build specialized tools using existing AI subscriptions rather than incurring additional API costs.
📖 Read the full source: r/ClaudeAI
👀 See Also
5 Prompts to Add an ARAM Map to LMAO: Opus 4.8 Builds a Full Game Mode
A developer shares the exact 5 prompts used with Claude Opus 4.8 to add a single-lane ARAM map to LMAO, including map sizing, transparency for trees, and hidden champion randomization.

Using Claude's Free Version to Auto-Update Notion Research Databases
A developer built a system using Claude's free tier to automatically structure and save research into Notion databases. The workflow takes raw research notes and formats them into structured database entries with consistent fields, categories, and summaries.

AI-generated 3D-printable pegboard from hand-drawn sketch
A developer used Codex to convert a hand-drawn sketch into parametric 3D models for a pegboard toy, specifying only two dimensions: 40mm hole spacing and 8mm peg width. The repository contains Python generators for seven play pieces, four gears, and printable boards.

Using Claude to Build a Structured Pokémon Search Engine from Unstructured Pokedex Text
A developer used Claude to analyze over 500,000 words of unstructured Pokémon Pokedex text, creating a search engine with 100+ subject themes and 8-dimensional filtering. The project involved deduplication, categorization, and building a hierarchical taxonomy for messy flavor text.