Business Finance
Path to Profitability: TJR's Strategy Explained
Added by: willburingrud
What You'll Learn
- How to identify potential order fills and confirm them using market structure.
- How to use continuation confluences like equilibrium and fair value gaps for trade entries.
- How to target exits based on significant highs and lows where orders can be liquidated.
Video Breakdown
This video explains TJR's trading strategy, emphasizing the importance of market experience, risk management, and psychology alongside a structured approach. The video details how to identify potential order fills, confirm those fills, and manage exits based on liquidity points, using a real trade example.
Key Topics
Trading Strategy
Daily Bias
Order Flow
Liquidity Sweeps
Confirmation Confluences
Continuation Patterns
Video Index
Introduction to Path to Profitability Strategy
This module introduces the core concepts of the Path to Profitability strategy, emphasizing the impo...
This module introduces the core concepts of the Path to Profitability strategy, emphasizing the importance of risk management, psychology, and market experience alongside a structured approach. It also addresses the limitations of simply learning a strategy without practical application.
The Importance of Strategy, Risk, and Psychology
0:00 - 1:00
This chapter highlights the three essential skill sets for profitable trading: strategy, risk management, and psychology.
Trading Skills
Risk Management
Trading Psychology
Limitations of Step-by-Step Strategies
1:06 - 2:51
This chapter discusses the limitations of rigidly following step-by-step strategies and the importance of market experience.
Trading Bots
Market Experience
Discretionary Trading
Trading as a Skill Requiring Practice
2:51 - 4:42
This chapter emphasizes that trading success requires significant time, effort, and chart study, comparing it to mastering a skill like basketball.
Market Analysis
Chart Study
Skill Development
Action and Learning from Mistakes
4:42 - 6:17
This chapter stresses the importance of taking action on trading knowledge, making mistakes, and learning from them through practice and backtesting.
Backtesting
Trading Journal
Practice
Building a Discretionary Trading Plan
This module focuses on building a discretionary trading plan, emphasizing the importance of understa...
This module focuses on building a discretionary trading plan, emphasizing the importance of understanding the overall market ideation and thought process rather than following a rigid step-by-step approach.
The 10,000 Hour Rule
6:17 - 7:14
This chapter discusses the 10,000-hour rule and its relevance to mastering trading.
Mastery
Practice
Dedication
Information vs. Action
7:14 - 8:18
This chapter highlights the difference between acquiring information and taking action on it, emphasizing the need to learn from mistakes.
Knowledge
Action
Mistakes
Confluence-Based Trading
8:18 - 9:14
This chapter introduces the idea of using confluences to make informed trading decisions, rather than following a rigid set of rules.
Confluences
Market Analysis
Trading Decisions
Core Strategy: Order Flow and Liquidity
This module explains the core strategy based on order flow and liquidity, focusing on how to identif...
This module explains the core strategy based on order flow and liquidity, focusing on how to identify potential order fills, confirm those fills, and target areas where orders can be liquidated.
Understanding Market Dynamics
10:14 - 11:20
This chapter explains the thought process behind the strategy, focusing on order fills, change in order flow, continuation, and targeting liquidity.
Order Fills
Market Structure
Liquidity
Avoiding Rigid Step-by-Step Approaches
11:20 - 12:40
This chapter explains why the strategy is not presented as a rigid step-by-step process, emphasizing the need for discretionary trading.
Discretionary Trading
Market Adaptation
Flexibility
Applying the Strategy to a Real Trade Example
This module walks through a real trade example on the S&P 500, demonstrating how to identify high ti...
This module walks through a real trade example on the S&P 500, demonstrating how to identify high time frame trends, draws on liquidity, and potential bearish SMT divergences.
Identifying High Time Frame Trends
17:50 - 19:16
This chapter explains how to identify high time frame trends and market structure.
High Time Frame
Market Structure
Trend Identification
Identifying Draws on Liquidity
19:26 - 21:05
This chapter focuses on identifying key draws on liquidity, including previous day highs/lows and session highs/lows.
Liquidity
Session Highs
Session Lows
Establishing Daily Bias
21:05 - 22:55
This chapter explains how to establish a daily bias based on high time frame trends and draws on liquidity.
Daily Bias
Trend Analysis
Market Sentiment
Considering SMT Divergence
22:55 - 26:02
This chapter discusses how to consider SMT divergence as a potential signal for reversals or continuations.
SMT Divergence
Market Signals
Reversals
Trade Execution and Exit Strategy
This module details the trade execution and exit strategy, including how to confirm order fills, ide...
This module details the trade execution and exit strategy, including how to confirm order fills, identify continuation patterns, and target exits based on significant lows where orders can be liquidated.
Confirming Order Fills
28:37 - 30:03
This chapter explains how to confirm that orders were filled by observing a change in trend on lower time frames.
Order Fills
Trend Change
Lower Time Frames
Identifying Continuation Patterns
30:03 - 32:31
This chapter focuses on identifying continuation patterns, such as equilibrium and fair value gaps, to confirm the new trend.
Continuation Patterns
Equilibrium
Fair Value Gaps
Scaling Down for Entry Confirmation
32:31 - 35:13
This chapter discusses scaling down to lower time frames to spot confirmation out of continuation confluences.
Lower Time Frames
Entry Confirmation
Confluence
Step-by-Step TJR Strategy Recap
35:13 - 39:07
This chapter recaps the step-by-step TJR strategy, emphasizing the importance of potential order fills, confirmation, continuation, and liquidation points.
Order Fills
Confirmation
Continuation
Liquidation
Adapting to Market Changes
39:07 - 42:36
This chapter highlights the importance of adapting to market changes and letting the market prove you wrong, while still making profitable trades.
Market Adaptation
Flexibility
Profitability
Questions This Video Answers
What is the core of TJR's trading strategy?
The strategy revolves around identifying potential order fills through liquidity sweeps, confirming those fills with changes in market structure, and then trading with the continuation of the new trend, exiting at points where orders can be liquidated.
How does SMT divergence play a role in the strategy?
SMT divergence is used as a confluence to strengthen a bearish or bullish bias, indicating potential reversals or continuations based on the comparison of price action between different indices (e.g., NASDAQ and S&P 500).
What are confirmation confluences and how are they used?
Confirmation confluences are used to confirm that orders have been filled after a potential liquidity sweep. This is done by observing a change in trend on lower time frames, either through a break of structure or an inverse fair value gap.
How does the strategy adapt to changing market conditions?
The strategy emphasizes discretionary trading, allowing traders to adapt to different market blueprints each day. This involves using a toolbox of confluences and adjusting the approach based on real-time price action and market signals, rather than rigidly following a step-by-step process.
What is the significance of 'draws on liquidity'?
Draws on liquidity are areas where price is likely to move to fill orders or cause reversals. These areas, such as previous day highs/lows and session highs/lows, are used both as potential entry points and as targets for exiting trades.
Why is market experience emphasized over a rigid step-by-step strategy?
Market experience allows traders to make discretionary decisions based on years of observing price action and understanding market dynamics. This enables them to adapt to changing conditions and identify high-probability trades that a rigid, automated strategy might miss.
Related Videos
Want to break down another video?
Break down another video