π’ P&L: +$54.11 | Grade: B+ | January 26, 2026 Trades
Net P&L: +$54.11
Accuracy: 62.5%
Execution quality: Solid, decisive exits
Behavior: Controlled participation
Trade count: Higher than necessary (16)
Market: Warm pre-market, selective continuation
Primary tickers: BATL, EVTV, GXAI, ARAI, BNAI
At a glance, the trade count might suggest over-engagement.
But trade count alone misses the most important detail: regulation was present from the start, exits were quick, and risk never escalated.
When Regulation Comes Before Trading
Today finished green on paper.
More importantly, today felt regulated β from the opening minutes, not something I had to fight to regain mid-session.
This recap isnβt about P&L. Itβs about documenting what happens when regulation is established before the trading day begins, rather than chased once the market is already moving.
That distinction matters.
Because today, I didnβt have to work to stay regulated β I started there.
Pre-Market Setup (New)
This was Day 1 of a deliberate change.
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Woke up 10 minutes earlier
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Cold plunge at 6:25 AM
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Did not check scanners or the market on my phone first thing
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Sat down in the living room before trading, without screens, to get centered
That sequence mattered.
By the time I sat down at the desk, I already felt grounded. Regulation wasnβt something I was trying to create while trading β it was already present.
Throughout the session, it felt like:
Regulation was the default state, not the objective.
Thatβs new for me β and significant.
My Intention Coming In
My intention today was simple:
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Start regulated
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Participate selectively
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Exit quickly when momentum stalled
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Avoid forcing continuation
That intention held for most of the session β even when I made a small, unnecessary trade.
P&L Curve
BATL β Structured Participation
I first entered BATL early pre-market around $5.29 (50 shares). As momentum recycled, I re-entered around $6.09β5.94, and later again near $5.91.
I scaled out in multiple partials between:
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$5.42 β $5.72
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$6.25β6.40
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$5.88β5.99
I treated BATL as a recyclable momentum name β entering on confirmation or pullbacks and exiting immediately when momentum stalled. I did not average down, and trade count increased because I was in and out quickly, not because I was stuck.
EVTV β Best Trades of the Day
I entered EVTV at $2.02 (50 shares) and added again at $2.22 (50 shares) once momentum confirmed.
I scaled out methodically into strength:
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$2.37
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$2.62
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$2.80β2.92
I allowed this trade to work without rushing exits. I trimmed into strength and did not try to force continuation once momentum slowed. These were my cleanest, most patient trades of the session.
GXAI β High Interaction, Controlled
I entered GXAI multiple times:
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$2.075 (100 shares)
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$2.29β2.34 (50-share entries)
I exited as momentum slowed at:
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$2.12β2.13
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$2.32
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$2.38
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$2.48β2.51
This was a high-interaction name. I took several quick scalps as momentum appeared and faded. I exited immediately when velocity dropped and did not get emotionally attached.
ARAI β In and Out Execution
I entered ARAI around $3.11 (100 shares total, split) and later again near $3.51 in smaller increments.
I exited at:
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$3.36β3.40
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$3.52
These were clean momentum attempts. When follow-through didnβt show immediately, I exited without hesitation.
SVRE β Quick Bailout
I entered SVRE at $2.08 (50 shares).
When momentum failed to materialize, I exited quickly between $2.04 and $2.02. The trade was cut fast with no hesitation.
BNAI β The Trade That Didnβt Belong
I took BNAI twice for 1 share each, entering at $63.80 and $69.09.
I exited at $65.63 and $64.30.
This was a curiosity-driven trade and statistically negative expectancy. I kept size intentionally tiny, accepted both outcomes immediately, and did not allow it to affect subsequent trades.
Trade Breakdown
EVTV β Best Trades of the Day
EVTV was one of the cleanest names I traded.
I waited for structure to form, participated without urgency, and exited decisively as momentum slowed. These trades felt calm and deliberate β no rush, no attachment.
This was regulation showing up in execution.
BATL β Patience Rewarded
BATL rewarded patience.
I waited for clearer opportunities, sized appropriately, and respected exits. There was no sense of needing to βmake moreβ out of the move.
Execution stayed clean.
GXAI / ARAI β Controlled Engagement
These names accounted for more interaction than was necessary.
They were tradable, but not special β and this is where trade count crept higher than it needed to be.
Behavior, however, stayed clean:
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No averaging down
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No size escalation
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No emotional chasing
Trade count increased because I was in and out quickly, not because I was stuck or fighting the tape.
That distinction matters.
BNAI β The Trade That Didnβt Belong
I didnβt need to trade BNAI.
I took it twice for 1 share, mostly out of stubborn curiosity rather than opportunity. Statistically, it was negative expectancy.
That said:
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Size was correct
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Both outcomes were accepted immediately
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No emotional spillover followed
Iβm okay with the result β but the trade itself wasnβt necessary.
Market Context
This wasnβt a hot market.
It wasnβt dead either.
It was warm β meaning:
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Momentum worked briefly
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Continuation was limited
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Quick profits paid
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Holding did not
Once again, the market rewarded precision over persistence.
Execution Notes
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Entries were intentional
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Exits were fast and decisive
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One unnecessary trade (BNAI), properly contained
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No emotional escalation
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No βfix the dayβ behavior
Trade Count Vs Control:
Yes β trade count was higher than optimal.
But:
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I exited quickly
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I didnβt linger
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I didnβt escalate risk
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I didnβt spiral after the mistake
The goal today wasnβt to minimize trades β it was to protect regulation while participating.
That goal was achieved.
Self-Regulation Review
Self-regulation today was very good.
The biggest difference: I didnβt have to fight for it.
I felt centered for the entire session. I wasnβt rushing entries, forcing size, or reacting emotionally to outcomes.
Even when judgment briefly slipped, regulation held:
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Loss accepted immediately
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No chasing
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No sizing up
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No attempt to make it back
The mistake didnβt destabilize the session β and that tells me the starting state mattered more than the individual trade.
Scorecard
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Process adherence: β
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Pre-market regulation: β
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Selectivity: β οΈ
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Self-regulation: β
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Emotional awareness: β
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Exiting stalled trades: β
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Avoiding damage: β
Grade: B+
Not perfect β but increasingly intentional.
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Iβm MGK, and at my core Iβm an entrepreneur. Iβve built and operated businesses across several sectors over the years β 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.












