earnings-trade-analyzer

You can screen post-earnings momentum stocks using a 5-factor scoring model that evaluates Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, and MA50 Position to compute a composite score and grade for each candidate.

Post-earnings gap analysis should evaluate Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, and MA50 Position. These five momentum factors combine into a composite score and grade to identify strong trading opportunities.

Rank earnings gap candidates by computing a composite score from five momentum factors that assigns a grade, allowing traders to filter for Grade A or B post-earnings plays and review component breakdowns before entry.

Yes, post-earnings analysis reports can be exported to JSON and Markdown formats. The structured output includes detailed component breakdowns and actionable guidance for integration into analytics pipelines.

The earnings momentum analyzer processes stock price inputs to calculate moving averages and volume trends. It uses the requests library to fetch necessary data and compute the 5-factor composite score for momentum ranking.

Automate post-earnings stock screening by running a script that applies a 5-factor momentum model to generate ranked reports. This systematically scores Gap Size, moving average positions, and volume trends to output structured JSON and Markdown files.