George F, $25,000 funded trader - Trade The Pool

George F.

George began trading in 2018 during college, drawn to penny stocks tied to FDA calendars due to his medical background. Initially, he chased volatile moves but struggled with consistency and limited capital. Joining a trading community during a bear market transformed his approach, where he developed a profitable low-float strategy. Psychological barriers and penny stock unpredictability led him to Trade The Pool, where he passed the Flex 25K evaluation. His cousin’s guidance and the prop firm’s structure helped him refine risk management, shifting his focus to large-cap stocks for stability as he eyes full-time trading while balancing a healthcare career.

George’s strategy centers on long-biased large-cap trading, targeting same-day earnings plays with opening range breakouts or reversions to VWAP or 9 EMA. He uses VWAP, 9 EMA, 200 SMA, and ATR to gauge volatility, with trades lasting 15-30 minutes.

His systematic stock selection, based on market cap and news, pairs with discretionary risk management, adjusting position sizes to market structure and equity, while leveraging Trade The Pool’s limited risk platform.

Tip 1

Systematic Risk Management

I'm very systematic in the way I find my trades and always know what I'm going to trade in advance. I use a mixture of fundamentals and technicals to determine my trades, while my risk and positioning are discretionary. Most times, I try to get my position into a break-even scenario, though it doesn't always work that way. These are big boy stocks—$2, $300—so they move points, not cents.

Tip 2

Adapting to Timeframes

There's a timeframe difference between playing an ORB and a reversion. You need to risk against that timeframe on market structure, and as it flips, I'm willing to be in the trade for five, ten, fifteen minutes on a five-minute pattern or an hour on a thirty-minute pattern.
Graph of George F, $25,000 funded trader - Trade The Pool
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Best stock

$HALO
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Success rate

43%
Scales

Risk / Reward Ratio

1:3.7
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Biggest loss

-$226, long on $TWLO x 200
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Biggest win

+$407, long on $HALO x 250

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