stock-help

Document Stock Expectation commands and workflows for market analysis.

2|Updated Apr 6, 2026

Search Tags:#market analysis #portfolio management #stock market #prediction #command reference

Ready to run

npx skills add https://github.com/k1064190/stock-expectation --skill stock-help

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stock-help
Source: https://github.com/k1064190/stock-expectation/tree/main/.claude/skills/stock-help
Command: npx skills add https://github.com/k1064190/stock-expectation --skill stock-help

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, numpy, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides an overview of all available commands for Stock Expectation, including Claude Code skills, bin/stock-cli subcommands, and common workflows, enabling users to quickly understand and access the necessary tools for their investment analysis and management needs.

Core Features & Use Cases

Command Reference: A comprehensive guide to all commands, including /expect, /daily-briefing, /prediction-review, and more.
Portfolio Management: Offers tools for portfolio evaluation, position sizing, and synchronization with external platforms like Toss.
Market Analysis: Provides insights into market trends, technical analysis, and macroeconomic indicators.

Quick Start

Run the command /stock-help to access the full list of available commands and instructions.

Frequently Asked Questions about stock-help

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

FAQPage Schema

How do I get started with stock market prediction commands and workflows?▼

Run the `/stock-help` command to access a comprehensive reference of all available Stock Expectation commands, including `/expect`, `/daily-briefing`, and `/prediction-review` for tracking prediction accuracy.

What is the best way to manage my investment portfolio and sync with external platforms?▼

Use the portfolio management commands to evaluate your portfolio, calculate position sizing, and synchronize your investment data with external platforms like Toss for streamlined tracking.

Do I need Python to run stock market analysis and prediction commands?▼

Yes, Python is required for execution, and the system specifically uses pandas, numpy, and matplotlib libraries for data analysis, processing, and visualizing market trends.

How does market analysis work for predicting stock market trends?▼

Market analysis in this system provides insights into market trends, technical analysis, and macroeconomic indicators to predict stock movements and track the accuracy of those predictions over time.

Can I review past stock market predictions to check accuracy?▼

Yes, use the `/prediction-review` command to evaluate past stock market predictions, track accuracy rates, and refine your investment analysis workflows based on historical performance.