earnings-prediction

Name: earnings-prediction
Availability: InStock
Author: faisalanjum

Predict stock direction and magnitude from pre-filing earnings data.

3|1|Updated Dec 2, 2024

Search Tags:#data science #financial analysis #forecasting #stock market #prediction #earnings

Ready to run

npx skills add https://github.com/faisalanjum/EventTrader --skill earnings-prediction

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: earnings-prediction
Source: https://github.com/faisalanjum/EventTrader/tree/main/.claude/archive/skills/earnings-prediction-v1
Command: npx skills add https://github.com/faisalanjum/EventTrader --skill earnings-prediction

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill predicts the direction and magnitude of a stock's price movement immediately following an earnings report, using only pre-filing data to avoid prediction contamination.

Core Features & Use Cases

Predictive Analytics: Forecasts stock movement (up/down) and magnitude (small/medium/large) before market reaction.
Point-in-Time Data Integrity: Strictly adheres to using data available before the earnings report filing time.
Use Case: Before a company like Apple releases its quarterly earnings, this Skill can analyze historical financials, guidance, news, and consensus estimates to predict whether the stock price is likely to rise or fall significantly after the announcement.

Quick Start

Use the earnings-prediction skill to predict the stock movement for ticker AAPL based on its latest 8-K filing.

Frequently Asked Questions about earnings-prediction

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

FAQPage Schema

How do I predict stock direction before an earnings report using pre-filing data?▼

You can predict stock direction before an earnings report by analyzing historical financials, 8-K filings, prior transcripts, and consensus estimates. This Skill forecasts price movement and magnitude while enforcing strict point-in-time data isolation to prevent prediction contamination.

How does point-in-time data isolation prevent earnings prediction contamination?▼

Point-in-time data isolation prevents earnings prediction contamination by using a filter agent to restrict analysis to information available strictly before the 8-K filing time. This ensures forecasts rely solely on pre-filing historical financials and consensus estimates.

Can I forecast stock price magnitude and direction using Alpha Vantage and Perplexity consensus estimates?▼

Yes, you can forecast stock price magnitude and direction using Alpha Vantage and Perplexity consensus estimates. The Skill analyzes these alongside 8-K filings and pre-filing news to predict whether stock movement will be small, medium, or large.

What is the best way to analyze 8-K filings and prior earnings transcripts for stock market forecasting?▼

The best way to analyze 8-K filings and prior earnings transcripts for stock market forecasting is to combine them with historical financials and pre-filing news. This approach predicts post-earnings stock movement direction and magnitude while maintaining point-in-time data integrity.

Does this earnings prediction approach work with pre-filing news and historical financials for magnitude estimation?▼

Yes, this earnings prediction approach works with pre-filing news and historical financials for magnitude estimation. It categorizes expected stock movement as small, medium, or large by analyzing data available strictly before the earnings report release.

Why should I use a filter agent for pre-earnings stock prediction?▼

You should use a filter agent for pre-earnings stock prediction to enforce strict data isolation and prevent contamination from post-filing information. This ensures the forecast uses only pre-filing data like historical financials, transcripts, and consensus estimates.