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Espenator
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embodier-trader

Assist with Elite Trading System development across Python, React, and DuckDB.

1|Updated Dec 4, 2025
Search Tags:#project management#react#fastapi#python#ml pipeline#trading system#ai trading
One-click install
npx skills add https://github.com/Espenator/elite-trading-system --skill embodier-trader
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: embodier-trader
Source: https://github.com/Espenator/elite-trading-system/tree/main/docs/updated-skills/embodier-trader
Command: npx skills add https://github.com/Espenator/elite-trading-system --skill embodier-trader

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as an expert AI assistant for the Elite Trading System, streamlining development, debugging, and strategic decision-making for a complex AI-driven trading platform.

Core Features & Use Cases

  • Code Assistance: Write, debug, and refactor Python/FastAPI backend code, React/Vite frontend components, and DuckDB queries.
  • Architectural Guidance: Provide insights on council agent design, ML pipelines, and trading strategy logic.
  • Project Management: Assist with Issue triage, roadmap planning, and determining the next development priorities.
  • Use Case: If Espen needs to implement a new trading signal based on market sentiment, this Skill can help design the agent, write the necessary backend code, and suggest frontend components to visualize the signal.

Quick Start

Help me refactor the alpaca_service.py to improve error handling for order execution.

Frequently Asked Questions about embodier-trader

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an AI trading system using Python and FastAPI?▼

Building an AI trading system with Python and FastAPI involves creating backend services for broker integrations like Alpaca, managing databases with DuckDB, and implementing ML pipelines for predictive trading signals.

How do I integrate Alpaca broker into a FastAPI backend?▼

Integrating Alpaca into a FastAPI backend requires writing Python services to handle order execution, error handling, and API connectivity for automated trading operations within your system.

What is the best way to structure an ML pipeline for trading signals?▼

An ML pipeline for trading signals uses XGBoost and sklearn to process market data, design council agents, and output predictive models that feed directly into your trading strategy logic.

Can I use React and Vite to visualize trading strategy data from DuckDB?▼

Yes, React and Vite can visualize trading strategy data from DuckDB by building frontend components that fetch data from your Python/FastAPI backend to display market signals and performance metrics.

Does AI trading system development include project management and Issue triage?▼

AI trading system development includes project management tasks such as Issue triage, roadmap planning, and determining next development priorities to streamline the full-stack platform lifecycle.

Why is my DuckDB query failing during trading data analysis?▼

DuckDB queries fail during trading data analysis due to schema mismatches or incorrect data types, requiring debugging and refactoring of database management logic within your Python backend architecture.

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