Hello! Welcome to the first lesson of our third module, "Liquidity Concepts."
In our previous module, we built a solid foundation in market structure. You learned to identify trends, distinguish between internal and external structure, and, most importantly, determine a higher timeframe directional bias based on the likely "draw on liquidity."
That phrase, "draw on liquidity," has been central to our analysis. But what exactly is liquidity from an institutional perspective? Why does it have such a magnetic pull on price? This lesson answers that fundamental question. We will move from observing market structure to understanding the fuel that drives it. Today, your goal is to define buy-side and sell-side liquidity in ICT terms. This concept is the cornerstone of the entire ICT methodology.
1. What is Liquidity? An Institutional Perspective
In general finance, liquidity refers to how easily an asset can be bought or sold without affecting its price. In the world of ICT, the definition is much more specific and predatory. Liquidity isn't just about volume; it's about pools of resting orders that institutional players, or "smart money," can target to execute their own massive positions.
The entire ICT methodology is built on shifting your perspective from that of a retail trader (who sees patterns and uses indicators) to that of a market maker (who sees a landscape of orders).
Let's hear this initial definition directly from the source.
ICT Mentorship Core Content - Month 1 - Liquidity Runs
In this clip from his core content mentorship, ICT introduces the concept of liquidity from a price action trader's point of view, defining it as resting buy and sell orders.
Watch the segment from 00:29 to 01:15. Notice how the focus immediately shifts to finding 'reference points' on the chart where orders are likely to be resting.
As ICT states, for our purposes, liquidity boils down to two things: buy orders and sell orders. Our job is to understand where these orders accumulate.
2. Buy-Side Liquidity (BSL)
Let's start with one side of the market. When price creates a swing high and then trades lower, what happens from an order flow perspective?
- Traders who shorted at or near that high will place their protective stop-loss orders above it. A stop-loss on a short position is a buy order.
- Breakout traders, anticipating a move higher, will place buy-stop entry orders above that same swing high.
This creates a dense cluster of resting buy orders above the swing high. In ICT terms, this pool of orders is called buy-side liquidity (BSL).
Why do institutions care? Imagine you are a large bank needing to sell 500,000 contracts of a futures product. You cannot simply hit the "sell" button without causing the price to plummet, resulting in a terrible average price for your position (this is called slippage). Instead, you need to find a place where there is a massive amount of willing buyers. The pool of buy stops above a swing high is the perfect target.
By pushing the price just high enough to trigger all those buy stops, the institution creates a surge of buying activity that they can sell into. This allows them to offload their large sell position efficiently.
To get a deeper understanding of the mechanics, please read the following text.
Buy Side and Sell Side Liquidity – ICT and SMC Trading Concept
The article 'Buy Side and Sell Side Liquidity' from Writofinance provides a clear, detailed explanation of these concepts. We will focus first on the buy-side section.
Read the sections 'Understanding Buy Side and Sell Side Liquidity' and 'Trading With Buy-Side Liquidity'. Focus on the mechanics of how and why buy stops accumulate and how institutions exploit them.
Now, let's watch ICT explain this exact process.
ICT Mentorship Core Content - Month 1 - Liquidity Runs
Here, ICT walks through the logic behind buy-side liquidity, explaining why stop-loss orders accumulate above a high.
Watch the segment from 01:15 to 02:26. He explains how short-sellers place their stops above the high, creating the pool of buy-side liquidity that the market is engineered to seek out.
3. Sell-Side Liquidity (SSL)
As you've probably guessed, sell-side liquidity is the mirror image. When price creates a swing low and then trades higher, the following occurs:
- Traders who bought at or near that low will place their protective stop-loss orders below it. A stop-loss on a long position is a sell order.
- Breakout traders, anticipating a move lower, will place sell-stop entry orders below that same swing low.
This creates a dense pool of resting sell orders below the swing low. This is known as sell-side liquidity (SSL).
Referring back to our chart example:
The institutional logic is also inverted. An institution that wants to accumulate a massive long position needs a large number of sellers. By driving price down to trigger the sell stops below a low, they can absorb that selling pressure with their own buy orders, filling their position at a favorable price before a potential reversal.
Now, let's complete our reading and watch the corresponding video explanation.
Buy Side and Sell Side Liquidity – ICT and SMC Trading Concept
Let's return to the Writofinance article to read the section on sell-side liquidity. It follows the same logic as the buy-side.
Read the section 'Trading With Sell-Side Liquidity'. It will reinforce the concepts by showing you the opposite scenario.
And here is ICT's explanation of sell-side liquidity.
ICT Mentorship Core Content - Month 1 - Liquidity Runs
This clip covers the logic for sell-side liquidity, the counterpart to what we just learned.
Watch from 02:26 to 03:52. Pay attention to how he frames the market from the perspective of a market maker, who knows exactly where these sell orders are located.
4. The Core Principle: The Market Algorithm Seeks Liquidity
The fundamental premise you must internalize is this: price is delivered by an algorithm that seeks liquidity. The market moves from pools of sell-side liquidity to pools of buy-side liquidity, and back again.
This is the engine. The market structure concepts we learned—breaks of structure, changes of character—are the results of the market's hunt for liquidity. When price breaks a high, it's not just a "breakout"; it's a run on buy-side liquidity.
Let's have ICT summarize this core principle.
ICT Mentorship Core Content - Month 1 - Liquidity Runs
This final clip reinforces the simple but profound idea that liquidity rests above old highs and below old lows, and that understanding this simplifies your view of price action.
Watch from 04:04 to 05:43. His statement, 'It's just that simple,' is key. This concept cuts through the noise of complex indicators and patterns.
To see more examples of these concepts on live charts, the video "What is Liquidity? - How to Trade ICT Concepts" by Justin Werlein is a valuable resource. The segment from 03:22 to 07:22 provides numerous examples, helping you train your eye to see these liquidity pools in real-time. Watching this is optional but highly recommended to solidify your understanding.
Conclusion
This lesson introduced the foundational concept that drives all ICT strategies. By redefining liquidity as targeted pools of orders, we can begin to understand the "why" behind price movements.
Key Takeaways:
- In ICT, liquidity refers to pools of resting buy and sell orders, primarily stop-losses from retail traders.
- Buy-Side Liquidity (BSL) is the pool of buy orders (buy stops) that accumulates above a swing high.
- Sell-Side Liquidity (SSL) is the pool of sell orders (sell stops) that accumulates below a swing low.
- The market algorithm is engineered to move price to these liquidity pools to allow large institutions to execute their trades efficiently.
- Viewing the market as a constant search between BSL and SSL provides a powerful predictive framework.
Preview of the Next Lesson:
Now that you can define buy-side and sell-side liquidity, we need to get more precise. In the next lesson, we will focus on identifying specific liquidity pools on a price chart, including not just simple swing highs and lows, but also powerful patterns like equal highs and equal lows. This will give you concrete targets to look for in your analysis.