Built for swing traders who want process, not tips.
Swing Edge helps swing traders identify high-probability breakout and trend-continuation opportunities using data-driven screening, stage analysis, relative strength and volume-price behavior.
The goal is simple: reduce noisy stock discovery into a focused research workflow with scanner results, charts, sector rotation context, educational lessons and transparent proof boards like the Proof Board.
Simplify stock discovery
Swing Edge helps traders find technically interesting stocks before or during important price moves, without turning research into gambling or blind recommendations.
Systematic setups over hot tips
We focus on repeatable conditions: trend structure, consolidation, liquidity, risk, relative strength, and volume confirmation. No scanner output is treated as a guaranteed trade.
Transparent research workflow
Pages like the Proof Board show stocks that were identified by Swing Edge scanners before the follow-through move. This is meant to build accountability, not hype.
Methodology
What makes our approach different?
Swing Edge does not rely on a single indicator or one headline-driven signal. The research workflow combines multiple technical and market-participation clues so that traders can separate stronger candidates from random movers. Read how we scan →
Bases, pivots, pullbacks, resistance zones, and breakdown risk are reviewed as chart context.
Candidates are viewed in relation to broader index and sector behavior, not isolated green candles.
Volume dry-up, expansion, and participation are used to judge whether a move has sponsorship.
Scanners avoid treating illiquid movement as equal to tradable participation.
Education repeatedly emphasizes invalidation, sizing, false breakouts, and event risk.
The Proof Board and lessons help users study what worked, what failed, and why.
Founder
Ankur Jain
Ankur Jain is the founder of Swing Edge and an active market participant focused on swing trading, breakout structures, and momentum investing.
His work centers around systematic stock screening, stage analysis, and relative strength-based market research. Through Swing Edge, he aims to simplify technical stock discovery for retail traders using data-driven tools and educational market insights.