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Hi traders, scalpers,

i will add here topic about using forex scalping trading technique at stock Nike.

I have on my small testing real account right now 1.02 stock of Nike and 4 CFD stocks.

I will keep you updated.

Nike experienced sharp downward pressure today, breaking below the $38 threshold. As a direct result, all open scalp entries from this setup are currently sitting in the red.

While short-term drawdowns are never ideal on screen, this outcome fits within expected variance given our current phase:

Strategy Calibration: These trades were executed as part of an active testing framework designed to evaluate timing, entry triggers, and reaction levels under live market volatility.

Risk & Exposure: Capital allocation remains controlled and proportional to a testing phase, ensuring that temporary adverse price action does not compromise account health.

Core Thesis: The fundamental appeal and durable moat of the Nike brand remain fully intact. Macro headwinds and technical flushes do not undermine the underlying brand equity, global footprint, or long-term turnaround potential.

Action Plan: Let the test parameters play out according to defined stop-loss and invalidation rules rather than reacting emotionally to intraday noise. Document execution metrics and slippage for post-trade review.

I will share some printscreens tomorow and keep you updated.
Take a care.
And have a great trades.

PTScalper wrote:using forex scalping trading technique at stock Nike. I have on my small testing real account right now 1.02 stock of Nike and 4 CFD stocks.

Interesting experiment — just be clear you’re changing market microstructure, not just the ticker.

FX majors (esp. EURUSD/GBPUSD in London) are continuous, deep, and priced in a way that 1–3 pip scalps can make sense. US single-name equities / CFDs are a different animal: auction open, wider effective spreads around news, borrow/financing on CFDs, and overnight gap risk if you hold. “Scalping technique” transfers only where liquidity and cost structure allow it.

For a test sleeve that small, fine — treat it as research, not a second scalp book. I’d log all-in cost per round-turn vs average M-target the same way you would on a minor FX pair you’re demoting. If Nike CFDs eat half the intended scalp in spread+slip, the technique isn’t failing; the venue is wrong for that hold time.

Are you day-flattening the CFDs, or is this more of a hybrid hold? That choice dominates risk here more than the entry pattern.

Worth checking the calendar before letting these run. Nike's fiscal Q1 report normally comes out around the end of September, and single names can gap well past any stop you'd set on an FX scalp. If the setup is meant to be a scalp, I'd flatten the CFDs before the release and keep only the 1.02 shares through it, because the share can sit through a gap without a margin call or overnight financing.

The other thing I'd log is how long each entry has been open. Positions that have been red for two sessions aren't scalps any more; they've quietly become a swing test, which is a different experiment with different stop logic. A hard time stop, flat by the US close whatever the P&L, would keep the test measuring what the thread title says it measures.

Hi traders,

you are right. I call it scalping, but in that core of that trading strategy it is not exactly scalping, because i have found out, that most of that positions i have to
hold over longer period of time, thanks to continues in down trend.
But i will keep you updated how that experiment goes. So stay tuned.

Have a lot of good trades.

Good that this is framed as calibration and not as a signal. For anyone following the Nike trades: single stocks gap on earnings and news, so a stop under $38 can fill far below it at the next open. On CFDs the overnight financing also adds a cost that doesn't exist on short forex scalps.

It would be useful to post the rules being tested (entry trigger, stop, max holding time), so the results can be judged as a sample rather than individual trades.

At this size the overnight financing is tiny, which is worth saying since it gets mentioned a lot. Say 4 CFDs at 38 dollars is 152 dollars of exposure, and at a made up 7.5 percent a year that is about 3 cents a night.

The gap is the real cost. With a stop at 37 and an earnings open at 35, each share loses 3 dollars rather than 1, so 12 dollars on the 4 CFDs where the plan allowed 4.

The other thing that changes from forex is the cost compared with the target. A scalp aiming for 10 cents on a 38 dollar stock is about a quarter of 1 percent, and a 2 cent spread already eats a fifth of it.

That fits with the positions drifting into longer holds, as you found. The move needed to cover costs is large compared with what the stock does in a few minutes, so the trades naturally stretch out.

It might be worth splitting the test into two clear parts. One part for genuine intraday scalps closed the same day, and one for the swing holds, so each set of results means something.

In equities, the January effect describes a tendency for small stocks to outperform early in the year, often linked to tax-loss selling in December and fresh cash arriving in January. Some currency traders carry the idea over, expecting new-year direction in the dollar or the yen. The case for doing so is thin.

Equity explanations rely on mechanisms specific to stock markets, such as year-end selling for tax purposes. Currencies have no obvious equivalent. The nearest candidates are fresh annual risk budgets at funds, repositioning after year-end balance sheet pressure, and the return of full liquidity after the holidays. These are plausible but hard to isolate, since they overlap with each other and with ordinary macro news.

Statistically, a month-specific average in a market with only a few decades of floating rates rests on a small number of data points. One big move in a given January, such as a policy shock, can dominate the average. Even researchers who document the effect in stocks note that it has weakened as it became widely known.

For a scalper, January is better treated as a month of changing conditions than of directional bias. Liquidity returns unevenly in the first days, spreads normalise, and early-month data releases can be volatile. Measuring those conditions directly is more reliable than trading a calendar story.