Earnings Surprise Magnitude Predictor

Overview

This pillar analyzes the gap between official analyst consensus and unofficial 'whisper numbers' to predict the size of a company's upcoming earnings surprise. It is designed to give traders an edge by quantifying market-moving information before it becomes public.

What It Does

The model calculates a 'Surprise Magnitude Score' by primarily measuring the spread between Wall Street consensus estimates and more speculative whisper numbers from specialized sources. It then adjusts this score based on the stock's price drift in the two weeks leading up to the earnings call. The final factor is the company's historical pattern of beating or missing estimates.

Why It Matters

Earnings surprises are a primary driver of short-term stock price volatility. This pillar provides a data-driven forecast of not just if a surprise will happen, but how large it might be, offering a significant edge in event-based trading on financial markets.

How It Works

First, it aggregates the latest consensus EPS and revenue estimates from major financial data providers. Second, it collects whisper numbers from specialized services and analyst chatter. Third, it calculates the percentage spread between these two figures, analyzes the stock's price momentum leading into the report, and compares it to the company's past 8 quarters of earnings surprises to generate a final prediction.

Methodology

The core calculation is the Surprise Spread: ((Whisper_EPS - Consensus_EPS) / |Consensus_EPS|) * 100. This is then weighted by a Momentum Factor derived from the 10-day moving average's slope and a Historical Surprise Z-score, which measures the current spread against the company's past 8 quarters of surprise data. The final output is a predicted percentage beat or miss.

Edge & Advantage

It systematically quantifies the often anecdotal 'whisper number' and combines it with price action, moving beyond qualitative sentiment to a concrete, tradable prediction.

Key Indicators

• Whisper vs Consensus Spread

  high

  The percentage difference between unofficial 'whisper' earnings estimates and the official analyst consensus.

• Pre-Earnings Price Drift

  medium

  The stock's price momentum and volume trends in the 1 to 2 weeks before the earnings announcement.

• Historical Surprise Mean

  medium

  The company's average earnings surprise percentage over the past 4 to 8 quarters.

Data Sources

• Estimize

  A crowdsourced platform for earnings and economic estimates, serving as a key source for whisper numbers.

• Zacks Investment Research

  Provides consensus earnings estimates (ESP) and historical surprise data.

• Refinitiv I/B/E/S

  Institutional-grade source for detailed consensus earnings data from analysts.

Example Questions This Pillar Answers

• → Will AAPL beat its Q3 EPS consensus estimate by more than 5%?
• → What will be the reported Q1 revenue for TSLA?
• → Will GOOGL's stock price increase by more than 3% in the 24 hours following its earnings report?

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