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k1064190
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prediction-review

Review open predictions and analyze track record accuracy for calibration adjustments.

2|Updated Apr 6, 2026
Search Tags:#financial modeling#calibration#stock market#prediction analysis#accuracy assessment
One-click install
npx skills add https://github.com/k1064190/stock-expectation --skill prediction-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prediction-review
Source: https://github.com/k1064190/stock-expectation/tree/main/.claude/skills/prediction-review
Command: npx skills add https://github.com/k1064190/stock-expectation --skill prediction-review

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users review open predictions, check track record accuracy, and analyze prediction calibration to improve overall performance.

Core Features & Use Cases

  • Review Open Predictions: Monitor the status of open predictions and their proximity to target and stop levels.
  • Track Record Analysis: Examine the accuracy and performance of predictions over time.
  • Calibration Check: Assess the calibration of predictions and suggest adjustments to improve future results.
  • Use Case: Regularly review the performance of stock market predictions to identify opportunities for improvement and refine the prediction model.

Quick Start

Run the 'prediction-review' skill to analyze the current status of open predictions and review the track record for the past 30 days.

Frequently Asked Questions about prediction-review

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

FAQPage Schema
How do I analyze the accuracy of my financial modeling predictions?▼

Assess prediction calibration by comparing historical prediction data against current market prices to evaluate track record performance. This process examines open predictions and their proximity to target levels to measure overall model effectiveness.

What is the best way to check prediction calibration for stock market models?▼

Check prediction calibration by comparing historical prediction outcomes against current market prices to measure track record accuracy. This evaluates whether predicted target and stop levels align with actual market movements over a specified period.

Can I monitor open stock market predictions and their target levels automatically?▼

You can monitor open stock market predictions by reviewing their current status and proximity to target and stop levels. This requires access to historical prediction data and current market prices to evaluate proximity accurately.

How do I review open predictions for risk management scenarios?▼

Review open predictions for risk management by analyzing their proximity to target and stop levels using current market prices. This monitors the status of active forecasts and highlights exposure to market volatility.

Why are my predictive models missing target levels in the stock market?▼

Predictive models miss target levels due to poor calibration, identified by analyzing track record accuracy against historical data. Suggested calibration adjustments refine the prediction model to improve future target proximity.

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