The methodology

One market.
Two sessions.
One edge.

I don't look for trades. I look for the exact moment price exhausts itself and commits to a reversal. That moment has a shape. I've learned to read it.

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Philosophy

Not copied from YouTube.
Built from experience.

When I started trading, I made the same mistake everyone makes: I followed dozens of strategies, trying to combine them all into one. It didn't work.

The turning point was deciding to stop consuming and start building. I took the ICT framework as a foundation because it has a real logic behind it, and I built my own layer of confirmations on top of it.

What I have now is a strategy that fits my psychology. I know when I should be in a trade. I know when I shouldn't. That clarity took time to build and it's not something I can hand over — but I can show you exactly what I see and when I act.

Daily bias: Before every session I define a direction — long or short — based on my own reading of price action, market structure, and experience. Every trade I take aligns with that direction. This single filter removes most of the noise and keeps me disciplined when the market tries to bait me the other way.

NQ Long trade example
Session selection

Two windows.
Selective within both.

Not all hours are equal. NQ has two high-probability windows per day. Everything outside them is noise I choose not to trade.

02:00 – 05:00 EST

London Session

The European open creates the first major liquidity sweep of the day. This is where many of the cleanest wick formations appear, before New York arrives and the structure becomes less defined.

09:30 – 12:00 EST

New York Session

The open and first two hours are the highest-volume period in NQ. Major reversals happen here. The setup needs to be right — but when it is, the moves are significant and fast.

NQ
Only instrument
2
Sessions per day
1
Trade per setup max
The setup

Bottom Wicks & Top Wicks.

My entire strategy is built around identifying the precise candle where price reverses. Not the candle that confirms it — the candle that commits to it.

Bottom Wick chart example

The Bottom Wick

Price sweeps below a key liquidity level — a prior swing low, equal lows, or an order block — and immediately rejects. The wick represents failed bearish momentum.

The confirmation lives in the close: price must close back above the swept level. That candle close is my entry signal.

  • Liquidity sweep below a significant level
  • Immediate rejection, not a slow grind
  • Close back above the swept level
  • ICT displacement confirmation
Top Wick chart example

The Top Wick

Price sweeps above a key resistance — a prior high, equal highs, or a premium zone — and fails to hold. Buyers who chased the breakout are now trapped.

I wait for the close back below the level. That's when the trap is confirmed and the reversal has structure behind it.

  • Liquidity sweep above resistance
  • Failed continuation, wicks into supply
  • Close back below the swept level
  • Trapped longs create downward momentum
Risk management

Defined risk.
Every single trade.

Profitability is not about how many trades you win. It's about making sure your winners are worth far more than your losers.

On a $50,000 funded account, I risk $200 per trade — 0.4% of the account. My targets range from $1,200 to $2,000 per trade, giving a 6R to 10R reward-to-risk ratio on each setup.

This means I can be wrong on the majority of trades and still be profitable. I don't need to be right often. I need to be right when it counts.

When a trade moves in my favour, I move the stop loss to break-even. My community receives this update in real time so no trade is ever left open at full risk once it's running.

Trade example Long · NQ
Parameter Value
Account size $50,000
Risk per trade $200 (0.4%)
Target range $1,200 to $2,000
Reward / Risk 6R to 10R
Break-even update Real-time via Discord

The maths: Even at a 30% win rate, a 6R system is profitable. This is not gambling. It's engineering a statistical edge over time.

Live recording

One trade. Start to finish.

Unedited. Entry logic, execution, and real-time management on a live NQ position.

See my strategy
in action.

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