🟢 P&L: +$129.52 | Grade: B+ | February 11, 2026 Trades
Small caps produced larger, volatility-driven losses with smaller average wins.
Large caps delivered structured, repeatable base hits with contained risk.
Large caps carried the entire green day.
Today was a split-session environment that clearly highlighted where my edge is stabilizing — and where it still needs development.
The morning included small-cap participation that produced volatility and a few sharp losses. As the session progressed, large-cap liquidity (PLTR, NVDA, SLV) provided structure, repetition, and higher-probability scalps. The day ultimately turned green through discipline and adaptation — not aggression.
Win rate was strong on large caps, driven by stacking small, controlled wins rather than leaning on any single oversized trade.
Right now, I’m in refinement mode — identifying what environment fits my psychology best while continuing to develop small-cap skill without forcing size.
Small Cap Loss: -$292.23
Large Cap Wins: $421.75
Would have been a $421.75 day without the small caps.
Trading Windows (Current Framework)
❌ No trading from 12:00–2:00 PM (unless clear structure appears)
❌ No trading after 4:00 PM
❌ No Large caps during Pre-market.
🛑 Strong preference to finish and flatten by 3:30 PM
Trading allowed:
✅ 7–11 AM (pre-market + open)
✅ Select large-cap short/long continuation setups
The focus isn’t maximizing tons of stocks to trade — it’s maximizing quality, and scalping quickly reducing risk
What Worked
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Leaning into large-cap liquidity after early volatility
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Repeated PLTR short scalps at clear intraday levels
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NVDA structured rotations with tight risk
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Keeping composure after early drawdowns
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Accepting base hits instead of looking for home runs
What Needs Work
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Oversized impact from small-cap losses relative to gains
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Avoiding early-morning emotional volatility
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Tightening risk further on thin names
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Fewer experimental trades during unstable conditions
Strategy Alignment (Current Plan)
Large Caps:
• Quick Scalps on trending stocks, confirmed by 15/5/1
• Gradually increase size to comfortable levels
• Keep risk tight
• Stay mechanical
Small Caps:
• Keep size intentionally small
• Continue learning structure
• No forced aggression
• No emotional trading spilling into Large caps (@open)
Four days of data is not proof — but it is direction.
The goal now:
More trades.
More composure.
More consistency.
Trade Breakdown
Small Caps
The early session reinforced an important structural truth:
Small wins: $10–$25
Large losses: $50–$150
That asymmetry pressures expectancy quickly.
The volatility isn’t the issue — sizing is.
I am not abandoning small caps.
But they must remain in development mode:
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Smaller size
-
Faster exits
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No ego trades
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Process over profit
This is long-term skill building, not short-term performance chasing.
Large Caps
The shift into large caps changed the tone of the day.
PLTR and NVDA provided:
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Tight spreads
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Predictable VWAP reactions
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Cleaner lower highs
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Contained risk
The trading felt:
• Mechanical
• Repetitive
• Structured
• Emotionally neutral
Stacking base hits in liquid names continues to show higher accuracy and smoother equity behavior — even in this small 4-day data snapshot.
Market Context
Small caps remain sporadic and unforgiving. Liquidity gaps create exaggerated downside when wrong.
Large caps are offering:
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Stable order flow
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Centralized auction behavior
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Cleaner reaction zones
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Better scalability potential
The contrast between environments is becoming clearer with each session.
Execution Notes
The large-cap scalping model currently suits me best:
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Identify clear intraday trend
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Enter at defined levels (VWAP, failed highs, continuation breakdowns)
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Take profits quickly
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Flatten without attachment
The edge is not prediction.
It’s repetition.
Self-Regulation Review
The biggest win today wasn’t the P&L.
It was the pivot.
After early losses, there was:
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No revenge sizing
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No emotional doubling down
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No chasing thin momentum
Instead, I shifted environments.
That’s growth.
Scorecard
Process adherence: ⚠️ Early
Pre-market regulation: ⚠️
Selectivity: ✅
Patience / waiting: ✅
Execution quality: ✅
Risk awareness: ⚠️ (small caps)
Exit discipline: ✅
Avoiding chop: ✅ (large caps)
Emotional control: ✅
Overtrading avoidance: ⚠️
Grade: B+
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I’m MGK, and at my core I’m an entrepreneur. I’ve built and operated businesses across several sectors over the years — from technology to payments to AI-driven platforms. I love building things, solving problems, and creating systems that make life or business a little easier.