2025-05-13 09:44:44
To help you understand the why price moves from a level to another—not because solely of indicators, news, or randomness, but because of liquidity. Don’t get me wrong, they are good catalysts but the market will always move from one level to another because of restingorders. You'll learn what a liquidity sweep is, how to spot liquidity levels, and how to trade them like institutions using the AMD model.
By the End of This Blog, You Should Be Able To:
Imagine you’re a fish in a pond. The fisherman (smart money) isn’t chasing you. Instead, he throws bait in specific areas where many fish tend to swim—then casts a net to catch all of you at once.
That’s how liquidity sweeps work in trading.
Retail traders are the fish. Support/Resistance levels, Double Tops, Breakouts, Previous Swings are the bait. The sweep is the net. Your stop-loss? Buy/Sell side order? Those are the targets.
In the world of trading, liquidity is not just about volume—it’s about a cluster of orders at specific price levels.
These include:
When there's a concentration of orders—a liquidity zone—institutions step in to execute large trades by running through those orders.
They don’t move price randomly. They move it toward liquidity.
Price seeks liquidity before it seeks direction.
Price will usually sweep a level, either:
A liquidity sweep is when price trades at a key level—such as a swing high/low, previous day’s high/low, previous session’s high/low or support/resistance, an obvious level where you’d likely place orders—to trigger stop-losses and pending orders then proceed to a certain direction.
If it’s not a breakout. It might be a trap.
BTC Example
Looking at BTC, it created a number liquidity sweeps for long-side opportunities. Took out the low, failed to breakdown, staging a fake-out then shoots to the upside.
AUDUSD Example
Same scenario can be seen with AUD. As sentiment shifts to a bullish outlook on Australian Dollar, frequent sweeps of low can be seen then price pushes up every time a level has been swept.
NASDAQ Example
This liquidity concept is obvious in the markets whether its forex, crypto, commodities, indices as long as there is volume that initiates orders.
You can capitalize this concept by knowing Where and When to look for them.
Understanding where liquidity is pooled and when it’s most likely to be swept is what separates random trades from calculated institutional entries.
Liquidity is rarely random. It tends to cluster around high-impact price levels where retail traders place orders:
Liquidity Zone | Why It Matters |
---|---|
Previous Day’s High/Low | Retail stops and pending orders accumulate here |
Previous Session’s High/Low (Asian, London, NY) | Entry and exit traps during session overlaps |
Previous Month/Week’s High/Low | Long-term swing trader stops and order clusters |
Swing Highs & Lows | Natural anchor points for retail stop placement |
Support and Resistance Levels | Most-used retail triggers = perfect bait for sweeps |
These are the prime locations for liquidity sweeps, especially when price trades toward them quickly or consolidates just before touching them.
Mark these levels. If you are a day trader or a scalper, focus on:
If you are trading a much higher timeframe, looking for a longer swing, focus on:
Timing is just as important as price. The smart money operates during specific hours, where trading volume and institutional presence is at its highest.
Time Window (EST) | Session Name | Why It's Important |
---|---|---|
12:00AM – 6:00AM | London Kill Zone | Initial sweeps, false breakouts, and session setups |
9:30AM – 12:00PM | New York AM Kill Zone | High-volume executions, major displacements, FVG setups |
1:00PM – 4:00PM | New York PM Session | Reversals, profit-taking, second chance entries |
Avoid trading outside these times, especially in the Asian session or after 4PM EST, when liquidity dries up and price becomes erratic.
Retail Traders Think | Smart Money Knows |
---|---|
“Breakout confirmed!” | “Perfect. Now I’ll reverse.” |
“Support is holding.” | “Time to sweep below and buy.” |
“I’ll buy once price moves higher.” | “Let’s sell to those breakout buyers.” |
Smart money uses retail triggers as entry zones for the opposite move.
Liquidity Sweep in Action: How to Trade Liquidity Sweeps Using AMD
The AMD Model simplifies how smart money enters trades using liquidity:
Liquidity Sweep in US Indices: NASDAQ Example
1. Accumulation (A)
2. Manipulation (M)
3. Distribution (D)
For timeframe combinations, check out my blog: https://acy.com/en/market-news/education/power-of-multi-timeframe-analysis-in-smart-money-concepts-j-o-134004/
Liquidity Sweep in Metals: Gold Example
This confirms institutional intent. You enter only after the trap is sprung, not before.
1-Hour Timeframe
Recently, this scenario played out with Bitcoin after failing to breakout of the resistance level.
5-Minute Timeframe
After confirming a lower timeframe breakdown, price shoot down past the support level.
Higher Timeframe Applicability
4-Hour Timeframe
This sweep concept can also be applied using the higher timeframe concept. Looking at the 4-Hour timeframe, we had sweeps on both sides.
15-Minute Timeframe
4-Hour Timeframe
15-Minute Timeframe
Liquidity Sweep in Forex : GBPUSD Example
4-Hour Timeframe
15-Minute Timeframe
1-Hour Timeframe
Pro Tip: Wait for price to reach a key level (Liquidity Zone) at a key session (Killzone). Wait for confirmation on your Lower Timeframe.
Check | Why It Matters |
---|---|
Sweep of previous high/low; support/resistance zones | Establishes trap zone |
Displacement(momentum candle) | Shows smart money entry |
MSS (market structure shift) or breakout | Confirms reversal |
Occurs during kill zone (London/NY) | Time + Price = Liquidity & Volatility |
Final Thought:
“If you’re always getting stopped out right before price goes your way—you’re not the problem. Your timing is.”
To trade with the institutions, you must first think like one.
Use liquidity sweeps as your confirmation model, not your entry trigger. Wait for the trap to be set, the stops to be taken, and structure to shift.
That’s how smart money trades.
This content may have been written by a third party. ACY makes no representation or warranty and assumes no liability as to the accuracy or completeness of the information provided, nor any loss arising from any investment based on a recommendation, forecast or other information supplies by any third-party. This content is information only, and does not constitute financial, investment or other advice on which you can rely.
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