mmr-loop-skill

Monitor trading portfolios and generate trade proposals for user approval.

130|42|Updated Aug 30, 2021

Search Tags:#risk management #portfolio management #trading #LLM-driven #automated trading

Ready to run

npx skills add https://github.com/9600dev/mmr --skill mmr-loop-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mmr-loop-skill
Source: https://github.com/9600dev/mmr/tree/main/skills/mmr-loop-skill
Command: npx skills add https://github.com/9600dev/mmr --skill mmr-loop-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mmr, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the monitoring and management of trading portfolios, reducing manual oversight and enabling AI-driven proposal generation for trading decisions.

Core Features & Use Cases

Automated Portfolio Monitoring: Continuously monitors your portfolio for changes and potential opportunities.
Trade Proposal Generation: Creates trade proposals with confidence scores and reasoning, requiring user approval before execution.
Use Case: Imagine you have a diversified portfolio. Use this Skill to automatically monitor the portfolio, identify opportunities, and generate trade proposals for your review and approval.

Quick Start

Start the trading loop with the 'mmr-loop-skill'.

Frequently Asked Questions about mmr-loop-skill

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

FAQPage Schema

How do I automate trading portfolio monitoring with AI?▼

AI-driven portfolio monitoring automates the continuous scanning of your trading portfolio for changes and potential opportunities. This Skill uses LLM-driven logic to generate trade proposals with confidence scores and reasoning, requiring user approval before execution.

What do I need to set up automated trade proposal generation?▼

You need to load the 'mmr' skill first and ensure Python with associated libraries is installed for real-time data processing. These prerequisites provide the environment required to run the trading loop and generate proposals with confidence scores.

Does the LLM-driven trading loop execute trades automatically?▼

No, the LLM-driven trading loop generates trade proposals complete with confidence scores and reasoning, which explicitly require your manual review and approval before any execution occurs. It manages risk and monitors opportunities without auto-executing trades.

How does automated trading handle risk management for a diversified portfolio?▼

Automated trading handles risk management by continuously scanning a diversified portfolio for changes and managing exposure through AI-driven proposal generation. It identifies opportunities and manages administrative workflows to reduce manual oversight while maintaining risk controls.

What are the limitations of using an automated portfolio management loop?▼

A key limitation of this automated portfolio management loop is its strict dependency on the 'mmr' skill and Python libraries for real-time data processing. Additionally, it cannot act autonomously, as every generated trade proposal requires manual user approval before execution.