EarningsSignal
AAPL
⌘K
About / organisation

Independent quantitative earnings research, made accessible.

Earnings Signal was founded by Kgosi Molebatsi to make quantitative earnings forecasting easier to inspect, understand and use responsibly.

Why we exist

Mission

Give investors and researchers accessible, rigorous, model-generated earnings intelligence without promotional trading language. Company and ETF browsing is free; a Pro subscription funds the model and SEC data pipeline behind forecast signals, backtested performance and full company detail.

Research workflow

Platform purpose

Earnings Signal generates its own EPS forecasts from historical company performance and financial patterns, then presents prediction intervals, growth outlooks and realised forecast errors in one keyboard-first terminal.

Operating standard

Transparency principles

  • Label every forecast and demonstration value clearly.
  • Show uncertainty beside point forecasts.
  • Publish model errors and historical-baseline comparisons.
  • Separate research information from investment advice.
In scope

What Earnings Signal provides

  • Independent EPS forecasts
  • Forecast ranges and confidence
  • EPS-growth outlooks
  • Historical forecast diagnostics
  • Accessible methodology
Out of scope

What it does not provide

  • Stock-price predictions
  • Buy, sell or hold calls
  • Trading execution
  • Guaranteed outcomes
  • Personal financial advice
General enquiries

Contact