52:51
ICT Price Action Lecture: Liquidity Purge & Revert
The Inner Circle Trader
Overview
This video explains the concept of liquidity in trading, focusing on how price action is driven by institutional algorithms seeking to exploit areas of high order volume. The presenter introduces the 'liquidity purge and revert' strategy, detailing how to identify and trade based on the manipulation of old highs and lows. The core idea is that price is drawn to these liquidity pools, and understanding this dynamic allows traders to anticipate market movements and identify high-probability trade setups, particularly for short-term trading.
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Chapters
- Trading is not about random patterns but understanding algorithmic price delivery.
- Retail trading logic often fails because it's based on flawed assumptions.
- Markets are manipulated in a rule-based, algorithmic structure, not randomly.
- Liquidity refers to areas where buy or sell orders are concentrated, typically above old highs (buy-side) or below old lows (sell-side).
Understanding liquidity and algorithmic manipulation is crucial for moving beyond retail trading dogma and aligning with how institutional money actually moves markets.
The presenter uses Dollar CAD as an example, noting that old highs represent buy-side liquidity and old lows represent sell-side liquidity.
- Sell-side liquidity exists below old lows, where traders might have stop-loss orders or limit buy orders.
- When price trades below an old low, it 'purges' this sell-side liquidity.
- This purge is an algorithmic event designed to provide counterparties for institutional buyers.
- Retail traders often view old lows as support, but institutions see them as targets for liquidity.
Recognizing old lows as engineered liquidity pools allows traders to anticipate institutional buying interest when price breaches these levels.
A specific old low on the Dollar CAD chart is identified as a target for price to move down to, purging sell-side liquidity.
- The 'purge and revert' strategy involves price trading below an old low (liquidity purge).
- After the purge, the market should then 'revert' upwards, drawing towards buy-side liquidity (old highs).
- The day price trades below the old low is considered 'Day 1' of the event.
- A look-back period of three days is used to identify relevant liquidity pools and ranges prior to the purge.
This strategy provides a framework for anticipating a shift in market direction after liquidity has been taken, offering high-probability short-term trading opportunities.
The presenter illustrates how, after price runs below an old daily low, the subsequent price action is analyzed over the next three days for signs of upward reversion.
- A market structure break occurs when price trades above the high of the day that purged sell-side liquidity.
- This break signals a potential shift in bias towards targeting buy-side liquidity (old highs).
- Equilibrium (the midpoint of a price range) is a key level to monitor; prices above it are considered premium.
- The algorithm targets previous day highs or other old highs as the next draw on liquidity after a purge and revert.
Understanding the market structure break after a liquidity purge helps confirm the move towards buy-side liquidity and identify specific targets.
On the hourly Dollar CAD chart, after a sell-side liquidity purge, the break of the day's high signals a move towards previous highs as the next liquidity target.
- Fibonacci retracements are used primarily to find the equilibrium (50%) level of a price range.
- The bodies of candles are used for identifying optimal trade entries, while wicks and tails are used for measuring ranges and equilibrium.
- Levels like -0.5, -1, -2, and -2.5 standard deviations can indicate potential price targets or areas of interest.
- An optimal trade entry (OTE) often occurs within a specific Fibonacci range (e.g., -0.5 to -0.702) after a liquidity event.
Fibonacci tools, when used correctly for range measurement and entry points, can help pinpoint precise trading opportunities within the liquidity-driven framework.
A Fibonacci tool is applied to a price swing on the 15-minute chart to identify an optimal trade entry zone near an old liquidity pool.
- The principles of liquidity purge and revert apply across all time frames, from daily to 15-minute charts.
- The core concept can be simplified to identifying old highs/lows, observing a purge, and anticipating a reversion.
- This model is designed for short-term trading and intraday bias, focusing on the next immediate draw on liquidity.
- Consistency and an open mind are key; the model's effectiveness is proven through repeated observation on charts.
The scalability and simplicity of the core concept allow traders to integrate it into their existing strategies or build a new trading model around it.
The presenter encourages viewers to go to their charts and look for these repeating scenarios of liquidity purges and subsequent reversions.
Key takeaways
- Price action is driven by algorithms seeking liquidity, not random patterns.
- Old highs and lows represent significant pools of buy-side and sell-side liquidity, respectively.
- The 'liquidity purge and revert' strategy involves anticipating price movement towards buy-side liquidity after sell-side liquidity has been taken.
- A three-day look-back period is used to identify relevant price ranges and liquidity levels.
- Equilibrium (50% level of a range) is a critical price point for assessing premium or discount.
- Fibonacci tools can be used for measuring ranges and identifying optimal trade entries, not just for predicting targets.
- Understanding market structure breaks after liquidity purges confirms the direction of the next move.
- The core principles of liquidity trading are scalable across different time frames.
Key terms
LiquidityBuy-side LiquiditySell-side LiquidityLiquidity PurgeRevertAlgorithmic TradingMarket Structure BreakEquilibriumPremiumDiscountOptimal Trade Entry (OTE)Judas Swing
Test your understanding
- What is the primary driver of price action according to institutional algorithmic trading?
- How does the concept of 'liquidity purge' differ from a typical retail interpretation of support and resistance?
- What is the 'revert' phase in the 'liquidity purge and revert' strategy, and where is price expected to move?
- How are Fibonacci retracements utilized in this strategy beyond simply identifying price targets?
- Why is understanding the market structure break important after a liquidity purge event?