Turn real market momentum into teaching material

How instructors use BullAlert

• Pattern case studies. Walk your class through an alert after it publishes, with the historical context our algorithm used: which pattern triggered it, which volume tier it sat in, the AI rating that accompanied it, and what happened next. Every alert has a post-catch trajectory label (good_catch / runner / fade / dud) so students see historical observations, not guesses. Past performance does not guarantee future results.
• Transparent scoring. Each alert exposes the score (0–100), the contributing factors (momentum, volume context, AI catalyst, news), and the gates it passed. A perfect teaching artifact for "why this and not that?"
• Algorithm output visualization. Each alert ships with our proprietary score, tier, volume context, catalyst type, and AI sentiment rating so students can see how our derived outputs behave on real small-cap runners.
• Pattern taxonomy. Our algorithm derives 12+ named pattern outputs from historical session context (gap-and-go, bull flag, parabolic move, and more) with named grades. Great for pattern-recognition drills.

Educational use only

BullAlert is not a broker and does not execute orders. We are a pattern detection intelligence layer over historical daily data, news, and social signals. We do not provide investment advice, manage money, or facilitate the buying or selling of securities. Every feature is designed for education, research, and learning. Any decisions students make happen through their own licensed broker of choice. See our disclaimer for the full informational-only framing.