Introduction

After years of testing nearly every ICT model out there, I finally narrowed my trading down to one setup. Not a silver bullet. Not a recycled 2022 concept. No fluff, no basics, no trend hopping based on what’s popular on YouTube. This is the unicorn model I personally trade, the same entry function I execute over and over again with consistency.

This blog breaks that model down exactly how I use it, step by step, so you can understand the logic, the structure, and the execution behind it.

The Foundation: One Model, One Framework

Before anything else, understand this.

I am not trading supply and demand
I am not trading order flow
I am not changing models based on trends or social media

This is a breaker based model that I’ve refined over a long period of time. The consistency comes from repetition, not complexity.

Step One: Establishing the Draw and Bias

Everything starts with draw on liquidity.

Determining my bias is simple and objective. I look at current market conditions and ask one question. Is the market expanding or consolidating?

In this example, the daily chart was clearly consolidating. Price had been trading within a range, repeatedly running highs and lows and returning back into equilibrium.

Some key clues I use include price running a daily high or low and reversing back into range, relative equal highs or lows forming, and repeated reactions inside the same area.

Price had just run a low and returned into a new week opening gap, which is simply the imbalance between Friday’s close and Sunday’s open. These gaps tend to act like magnets because of inefficient order flow.

With higher timeframe context still broadly bullish, my bias leaned bullish, even though short term price action was balanced.

Step Two: Confirming Bias on the Hourly

Once I have a directional lean, I drop to the hourly chart to confirm.

I want to see displacement, fair value gaps forming, and speed in price delivery. In this case, price was displacing higher and leaving inefficiencies behind. That confirmed my bullish bias and gave me confidence to start planning executions.

Step Three: Waiting for 9:30 and Marking Points of Interest

I do not trade randomly during the day. My execution window starts around 9:15 and ends between 11:00 or 11:30.

Before 9:30, I already have my points of interest marked. These are higher timeframe fair value gaps, clean swing highs or lows, and obvious liquidity pools.

A point of interest means nothing on its own. It only matters if price reacts from it toward the draw on liquidity.

In this case, price dropped into an hourly fair value gap and an hourly swing low right at the 9:30 open.

Step Four: Lower Timeframe Liquidity Sweep

Once price taps my higher timeframe point of interest, I drop down.

My alignment rules are simple. A one hour point of interest requires a five minute liquidity sweep. A four hour point of interest requires a fifteen minute liquidity sweep.

I want to see lower timeframe liquidity taken, followed by a reaction back in the direction of my bias. Without this sweep, there is no trade.

Step Five: Breaker Formation and Displacement

After the sweep, I wait for a breaker block to form and for price to displace through that breaker.

This displacement confirms that direction has shifted. Once price closes above the breaker, my execution is straightforward. I place a limit order at the breaker, my stop below structure, and my target toward the next obvious liquidity.

I do not need the full move. I only need a clean reaction.

Step Six: Targeting and Trade Management

Targets are always logical and obvious. I look for the nearest meaningful high or low, the high of day, or a London session high.

I take partials at the most obvious level and manage the rest based on time.

I use a time based stop. If price has not delivered by late morning, I move my stop to break even. I do not babysit trades all day. Once my window is over, the trade becomes set and forget.

Second Trade Example: Same Model, Different Context

The next day, nothing changed.

The daily bias remained bullish. The draw on liquidity was still overhead. Hourly structure remained clean.

Going into 9:30, price ran relative equal lows, which was a textbook liquidity sweep and also formed SMT with NQ.

This time the five minute chart was too choppy, so I dropped to the fifteen minute, where structure was cleaner. Inside that level, I identified a breaker and an IFG as added confluence.

Price closed above the breaker. I entered at the top of it, targeted the London high, and exited the trade before 11:00.

Same framework. Same logic. Different day.

Risk Management: How I Size These Trades

Risk is non negotiable.

Here is how I handle it.

On funded accounts, A plus setups risk roughly fifteen percent of maximum drawdown. On personal accounts, I risk around three percent. On one minute executions, I reduce risk to about ten percent of drawdown.

For example, on a fifty thousand dollar account with a two thousand dollar drawdown, standard risk is around two hundred dollars, while an A plus setup may risk closer to three hundred dollars.

Consistency comes from protecting capital, not swinging for home runs.

Final Thoughts on the Unicorn Model

This is the only setup I trust. It is repeatable, rule based, and grounded in logic rather than hype.

The best trades happen fast, respect time, and require patience before execution, not after.

Trade smart. Stay patient. Protect your capital.