Sometimes the biggest mistake is not entering too early or sizing too large… it is refusing to stop after a well-executed trade is already over. That was the real lesson from this INTC trade review.
The Intel setup initially looked like a textbook example of the kind of post-earnings momentum trade I try to focus on.
It had the ingredients I look for in an A+ setup… a strong fundamental catalyst, a significant price move around earnings, and a clear multi-timeframe break of structure.
Intel reported solid results, raised guidance, and continued to benefit from broader strategic tailwinds, including U.S. government support tied to domestic semiconductor investment.
Just as importantly, the stock responded.
Price moved sharply enough to meet the criteria that I use when trading my post-earnings momentum strategy: the stock made a 15%+ move, and the chart began breaking structure across the hourly, 4-hour, daily and weekly timeframes.
That was my signal.
What I Did Right – Nailed The Ideal Entry
My initial execution was strong. I entered one hour after earnings, which aligns with one of my core rules and avoided the mistake of chasing the first reaction candle.
In hindsight, this was close to an ideal entry. This doesn’t always work out, but often, I’ve found that waiting until the close of the hourly candle after earnings allows some of the volatility to calm down before getting in.
It also allows enough time for some of the retracement to take place, which is incredibly common after a stock makes a big move.
Plus, if the stock is going to reverse violently, this gives it enough time to do so, which shows you that this IS NOT an A+ setup.
I sized up aggressively, arguably too large, but I did so at the right moment, with actual structure and catalyst confirmation behind it.
That matters.
Oversizing at the wrong time is recklessness. Oversizing at the right time, when the odds genuinely appear favorable, is a risk decision… and in this case, the setup justified conviction.
I held the position overnight, managed the trade well, and exited when price began to roll over rather than waiting for the market to take profits back. From entry to exit, the long side of this trade was executed well.
Honestly, I did a lot right.
Where It Went Wrong
The mistake came after the good trade. After exiting the long, I should have been done.
It was a Friday morning, there wasn’t much news moving markets, I even told myself I should just close my trading station and walk away happy… But instead, emotions took over. I started thinking I could squeeze more out of the move by fading it. That was greed disguised as opportunity.
I got short. Then I got chopped up.
What followed was classic emotional overtrading… forcing entries, reacting instead of planning, and trying to win back what the market was no longer offering. The quality of decisions dropped fast.
And I gave back over $1,000.
Not because the original setup failed. Because I stopped following the process. Because I got greedy, and I spiraled out of control for NO REASON!
The Real Lesson
This trade reinforced something important:
A good trade can still turn into a bad day if you keep trading after the edge is gone.
The A+ setup was real. Good earnings, positive guidance, multi-timeframe breakout… My initial entry and reason to size up was real. The profit-taking was disciplined…
And I still messed it all up…
The damage came from abandoning my post-earnings momentum framework afterward.
The moment I moved from trading a catalyst and structure… to trading emotion, I no longer had an edge.
That is where the loss came from.
What I’ll Do Better Next Time
- Treat a completed A+ trade as complete
- Do not reverse bias without a fresh independent setup
- No “fade” trades driven by greed
- Once execution quality drops, stop trading
- Respect that overtrading can destroy a good day faster than a bad setup can
If you want to go deeper:
- Explore the Trading Statistics Hub to understand how different sectors behave across market cycles
- Study real setups inside the Trade Reviews section
- Learn the framework behind high-probability setups in the Post-Earnings Momentum Strategy
This is how you turn raw market data into repeatable trading edge.
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