learn

Name: learn
Availability: InStock
Author: moyuchi

Score monthly BUY/SELL/HOLD judgment accuracy against realized outcomes.

Updated Apr 13, 2026

Search Tags:#learning #evaluation #backtesting #trading #walk-forward #judgments

Ready to run

npx skills add https://github.com/Moyuchiiii/claude-investment-sim --skill learn-moyuchiiii

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/Moyuchiiii/claude-investment-sim/tree/main/.claude/skills/learn
Command: npx skills add https://github.com/Moyuchiiii/claude-investment-sim --skill learn-moyuchiiii

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured approach to measure and improve the accuracy of month-by-month trading judgments by comparing predicted actions (BUY/SELL/HOLD) to actual outcomes and tracking performance over time.

Core Features & Use Cases

Walk-forward evaluation across historical data to quantify BUY/SELL/HOLD performance.
Automated tracking of monthly accuracy and lessons learned to guide future decisions.
Use Case: analysts review past months to identify reliable signals, extract generalized lessons, and refine decision rules.

Quick Start

Start with the earliest unlearned month and run the full walk-forward loop to generate judgments and compute accuracy.

Frequently Asked Questions about learn

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

FAQPage Schema

How do I evaluate trading judgments using walk-forward backtesting?▼

Walk-forward evaluation quantifies trading judgment accuracy by comparing predicted BUY/SELL/HOLD actions against realized outcomes month-by-month across historical data. It tracks performance over time to identify reliable signals and extract generalized lessons.

What is walk-forward evaluation for tracking trading decisions?▼

Walk-forward evaluation is a structured process that scores the accuracy of monthly trading judgments against actual realized outcomes. By stepping through historical data sequentially, it tracks monthly accuracy and records lessons to refine future decisions.

Can I track monthly BUY/SELL/HOLD accuracy for multiple stocks?▼

Yes, you can track monthly BUY/SELL/HOLD accuracy across 27 stocks. The evaluation compares your predicted actions to actual outcomes and records lessons learned for future months to guide future decision-making.

How do I start a walk-forward loop to analyze past trading judgments?▼

To start the walk-forward loop, begin with the earliest unlearned month in your historical datasets. Run the full loop to generate judgments, compute accuracy against realized outcomes, and record lessons for progress tracking.

Do I need specific datasets to compute trading judgment accuracy?▼

Yes, computing trading judgment accuracy requires access to learning datasets and scripts that generate judgments. These scripts compare your predicted actions against realized outcomes and record lessons for future months.