eSignal - Smarter Trading Tools

Webinar: John Scherr uses Whisper Numbers for Earnings Trades

April 21st, 2015

eSignal proudly presents: John Scherr from WhisperNumber.com. The webinar topic will be: Using Whisper Numbers for Earnings Trades

Register Now: Webinar Day & Time: Wednesday, April 22, 430p ET (130p PT)

John will discuss whisper numbers and the affect on a stocks price following an earnings report of beating or missing these expectations.

The advantage? More often than not, when a company reports earnings that beat the whisper number, the stock is ‘rewarded’ and will see gains over a one to thirty-day period after earnings are released. And on average when a company misses the whisper, the stock is ‘punished’ and will see a decline in price over a one to thirty day period after earnings are released.

Knowing which companies are most likely to move higher or lower, by how much, and in what time-frame, can help you make better informed trading decisions.

In this webinar you’ll learn about:

  • Earnings expectations versus estimates
  • Post earnings price volatility
  • ‘As expected’ price reactors versus ‘positive’ and ‘negative’ price reactors
  • Determining consistent price reactors
  • Utilizing Whisper Reactors to make better trading decisions

Register Now!

About the Presenter

Since founding WhisperNumber.com over 15 years ago, John Scherr has created the most powerful and comprehensive database of crowd-sourced earnings expectations available to the financial industry. He is a leading expert on whisper numbers and post earnings price reaction analysis, and he is widely featured in financial print and television media. John appears regularly on Fox Business television discussing the power of whisper number expectations. He created the business to help level the playing field for individual investors and traders. WhisperNumber’s proprietary data has been proven through numerous independent academic studies to provide greater returns when used as an investment vehicle, and as having a greater impact on stock movement than analysts consensus estimates.