Insane ICT Liquidity Sweep Trading Strategy That Works Like Magic

Simple Trading Strategies for Consistent Profitability

Introduction to Trading Philosophy

• The speaker has over seven years of trading experience, emphasizing that simplicity leads to better results in trading.

• They have successfully helped hundreds of students achieve funding and consistent payouts by teaching uncomplicated strategies.

• A focus on a "stupid simple" trading strategy is introduced, which boasts a high win rate and can be easily followed.

Strategy Overview

• The strategy operates solely on the 15-minute time frame, avoiding higher time frame analysis for simplicity.

• It is applicable across all asset classes, including cryptocurrencies, provided it is implemented correctly.

• The strategy involves marking liquidity levels within the same day and requires only one step for execution.

Execution Steps

• Traders must identify liquidity levels (highs and lows) formed during the current trading day.

• After marking liquidity, wait for price action to sweep out that liquidity before taking action.

Key Criteria for Trade Setup

• For bullish setups: after sweeping sell-side liquidity, the first candle must close bullish post-sweep.

• For bearish setups: after sweeping buy-side liquidity, the first candle should wick above but close bearish.

• Three criteria must be met: a liquidity sweep occurs; wicking behavior aligns with expectations; and the closing condition is satisfied.

Risk Management and Trade Execution

• Upon meeting setup conditions, traders take long positions with stops placed below recent lows targeting risk-reward ratios of 1:2 or higher.

• At a 1:1 risk-reward ratio, traders are advised to break even or take partial profits while aiming for full closure at 1:2.

Understanding Market Dynamics

• The speaker discusses market dynamics where aggressive sellers push prices down but are countered by significant buy limit orders indicating demand strength.

• This interplay suggests that despite apparent selling pressure, there are underlying buyers ready to support price increases.

Trading Strategy Overview

Key Components of the Trading Strategy

• The strategy involves placing a stop just above the high when entering a long position, aiming for a 1:2 risk-to-reward ratio. Break-even is achieved at 1:1.

• It’s crucial to monitor candle formations; if a bullish candle closes but is followed by one that sweeps out the high and closes bearish, it indicates a potential reversal.

• In case of contradictory setups (bullish followed by bearish), close the long position with minimal loss and consider taking a short position instead.

Trading Rules and Recommendations

• Limit trades to three per day, with two being optimal to prevent overtrading and emotional decisions like revenge trading.

• The strategy boasts a win rate above 70%, with potential for higher risk-to-reward ratios (up to 1:10 in rare cases).

Liquidity Considerations

Understanding Liquidity Levels

• Focus on liquidity from the overnight session (after 12 AM); this can provide stronger setups compared to older liquidity levels.

• The closer liquidity is to current price action, the more reliable the setup tends to be; sweeping older liquidity may not yield favorable results.

Example Trades Analysis

Trade Examples Breakdown

• In an example with gold during Asia session, after sweeping out a low and closing bullish, this signals entry into a long trade with stops below the low.

• A partial profit can be taken at break-even while targeting higher resistance levels for further gains; maintaining simplicity in analysis is key.

Additional Trade Opportunities

• Another setup occurs when price sweeps the high and closes bearish, indicating another short opportunity which also ends up as break-even.

• During New York session, after sweeping out lows again followed by bullish closure, this indicates buyers are back in control—entering here could yield significant returns.

Daily Performance Summary

Time-Based Volume Strategy Explained

Overview of the Time-Based Volume Rule

• The speaker introduces the "Time-Based Volume Rule" (TBV), also referred to as the TB strategy or fastcv strategy, emphasizing its simplicity and mechanical nature.

• During a specific trading day, only one trade was executed, which is acceptable within this strategy.

Analyzing Market Movements

• The analysis begins with identifying highs and lows during the Asia session; a high was marked before price action swept it.

• A bearish close after a price increase indicates that buyers were absorbed by sell limit orders, suggesting an opportunity for sellers to enter the market.

Entry and Risk Management

• The recommended entry point is at candle closure with a stop loss placed above the high; potential profit targets include equal lows or achieving a 1:2 risk-to-reward ratio.

• If a bullish candle closes after sweeping a high, it signals not to take short positions, helping traders avoid unnecessary losses.

Identifying Setups in Different Sessions

Liquidity Sweeps and Market Structure

• Another example highlights how liquidity sweeps occur without closing bearish; despite sweeping highs multiple times, bullish closures indicate continued buying pressure.

• A low was printed followed by a sweep of that low with a bullish close, indicating absorption of sellers and presenting another entry opportunity.

Trade Execution Insights

• Traders are encouraged to enter trades immediately upon confirmation of absorption while managing risk effectively through stop placements.

• Discussion on whether to take additional setups from previous sessions emphasizes sticking to established rules for consistency in trading outcomes.

Final Example Analysis

Multiple Setups on October 29th

• On October 29th, three setups were identified during the Asia session; significant price movements included engineered lows followed by bullish closures indicating buyer absorption.

• After confirming bullish momentum post-sweep of lows, traders could target higher fractal equal highs for substantial risk-to-reward ratios.

Conclusion on Trading Mechanics

Trade Strategy Insights

Overview of Trade Execution

• The discussion begins with a London session trade example, emphasizing the importance of placing a stop loss around key areas to manage risk effectively.

• A potential profit target (TP) is mentioned, where the trade could have achieved a 1.5 risk-to-reward ratio, highlighting the significance of securing partial profits.

Market Behavior Analysis

• Observations are made about market behavior when a candle sweeps the high, indicating that buyers lose control and selling pressure increases significantly.

• A notable sell limit order is identified as a catalyst for price decline, closing bearish and suggesting strong selling momentum.

Short Position Strategy

• The speaker outlines taking short positions after confirming bearish signals, advising to place stops above recent highs for effective risk management.

• An example illustrates achieving a 10:1 risk-to-reward ratio in favorable conditions, although it’s noted that such opportunities are not frequent.

Risk Management Techniques

• Dynamic risk management strategies are discussed; trailing stop losses can be employed based on market conditions to protect gains.

• The Asia low is referenced as an area of interest for targeting trades, potentially leading to significant returns if executed correctly.

Conclusion on Trading Strategy Effectiveness

• The speaker expresses confidence in the strategy's power but hints at its temporary nature by considering deleting it after 48 hours due to its effectiveness.