As price action traders, we're looking specifically for reference points where there is a high probability of liquidity resting in the marketplace. Related to ICT concepts, liquidity relates to buy orders and sell orders. It's as simple as that.
Below old lows, the market will seek liquidity for the sell side or the sell stops, taking orders out. Understanding this premise, when we view price action, it removes all of the retail-minded perspective but heavily leaning on indicator-based ideas. When we adopt these principles with study of price, it gives us the truest and purest view of how price is delivered.
We have no confidence or direct relationship to our directional bias on price relative to anything except for price itself. If the market is moving from an old high, we know that there is going to be liquidity resting above that old high. If the market is moving from an old low, we know there is going to be a rest liquidity below those lows. It is just that simple.
Below old lows, the market will seek liquidity for the sell side or the sell stops, taking orders out. Understanding this premise, when we view price action, it removes all of the retail-minded perspective but heavily leaning on indicator-based ideas. When we adopt these principles with study of price, it gives us the truest and purest view of how price is delivered.
We have no confidence or direct relationship to our directional bias on price relative to anything except for price itself. If the market is moving from an old high, we know that there is going to be liquidity resting above that old high. If the market is moving from an old low, we know there is going to be a rest liquidity below those lows. It is just that simple.
LRLR = Low Resistance Liquidity Run
HRLR = High Resistance Liquidity Run
HRLR = High Resistance Liquidity Run
As a trader you want to be trading when there is LRLR conditions because during LRLR conditions price will cleanly deliver to your target a lot quicker than HRLR conditions. If you're in a trade a lot longer than expected it is most likely because you are in HRLR conditions.
A LRLR will have clean highs or lows and for this example it means there's a large pool of liquidity resting above the Clean Highs/EQHs. This is where retail traders are placing their stops and smart money will look to take out these stops.
Another way you can look at LRLR is if there are EQH/Ls & multiple highs/lows lined up in a row (Trendline Liquidity). This is what #TheStrat traders call Pivot Machine Gun (PMG). It's called PMG because the algorithm spools higher like a machine gun triggering stop losses to get taken out.
So in this example, after SSL got raided, you're looking to go long inside of the FVG within the BPR to target the EQH. This is LRLR conditions.
When you have EQH/L, any PD arrays in-between where price is currently at to the EQH/L will have a low probability of holding. Smart money will target the largest liquidity pool which will be the EQH/EQL so price will either go through the PD array, or consolidate at the PD array then continue in the direction of the EQH/L. Now we will look at an example of HRLR. Typically with HRLR conditions there will be a stop hunt (fu) on buyside or sellside liquidity. Once there's a stop hunt it will leave a Point of Interest (POI) / PD array which is typically an orderblock or fair value gap.
Because there's a stop hunt (fu) which leaves a POI, the POI will act as resistance which will make it a HRLR condition. So in this example, instead of going long at the lows to target the high formed from (fu), I'd rather wait for price to reject off the POI to look for shorts.
1st pic below is M15 timeframe, 2nd pic below is H1 timeframe. You will see a M15 fu raid on BSL which leaves an H1 bearish orderblock making it HRLR. After the fu raid price went lower and when it retraced back up it rejected the orderblock then started to take out internal SSL.
Reference:
Michael J. Huddleston (2021) - ICT Liquidity - The Financial Market's Zero Sum Game.
Michael J. Huddleston (2016) - ICT Mentorship Core Content - Month 1 - Liquidity Runs. (video)
Michael J. Huddleston (2016) - ICT Mentorship Core Content - Month 1 - Liquidity Runs. (video)
