Breakout Equity Trader (Remote, Funded) — El Paso, TX

A breakout equity trader at Maverick enters US equities on confirmed breakouts from defined base structures — typically multi-week consolidations resolving in the direction of the prior trend. The strategy rewards patience (most setups fail screening before they trigger) and decisiveness (when a setup triggers, hesitation costs entry price). It is one of the more classic, well-documented equity strategies, and the discipline required to run it well is significant.

El Paso, TX: El Paso is the largest Texas metro on Mountain Time, giving traders here a different schedule from the rest of the state — 7:30am market open instead of 8:30am. The metro's economy is built around international trade with Mexico, military (Fort Bliss), and healthcare. No state income tax.

What you\'ll trade: US equities meeting liquidity and structure criteria — typically mid-cap and large-cap names with clean weekly base patterns. We avoid breakouts in the lowest-quality names where false breaks dominate. ETFs (sector and broad-market) for thematic breakout trades.

Risk framework: Breakout trading loses worst in choppy, range-bound markets where most setups fail. Maverick traders are sized small per individual trigger and rely on hit rate × win-loss ratio to deliver expectancy across hundreds of trades, not on any single position.

Why Maverick funds this role: Breakout trading has produced more career traders than almost any other equity strategy. Maverick funds it because the framework is well-understood and the risk is well-defined — the question is whether a given trader has the discipline to execute it through both the streaks and the slumps.

• Traders patient enough to wait for the actual trigger rather than anticipating it
• People who can cut a failed breakout the same session it fails, without second-guessing
• Candidates with chart-pattern fluency — the visual language matters here
• Traders who track their own data: how many of your setups trigger, how many work, average winner versus average loser