Quarterly Theory Bootcamp │ SMT & Sequential SMT (SSMT) EP. 3

Introduction to Sequential SMT

Importance of the Episode

• The speaker emphasizes that this episode could be life-changing, claiming it transformed them from unprofitable to profitable.

• The focus is on Sequential SMT (SSMT), a crucial concept in quarterly theory.

Understanding SMT

• To grasp SSMT, one must first understand SMT, which involves analyzing closely correlated assets.

• Examples of correlated assets include triads like NQ, ES, and YM for indices.

Divergence Explained

What is Divergence?

• Divergence occurs when one asset moves higher while another fails to reach a specific low.

• For instance, if ENQ creates a higher low while ES creates a lower low at the same time, this indicates an SMT divergence.

Application in Forex

• In Forex triads (e.g., Euro USD, GBPUSD, DXY), the same principles apply but with inversely correlated assets like DXY moving opposite to Euro and GU.

Significance of SMT Divergence

Market Signals

• SMT divergence often precedes market moves or reversals and indicates strength or weakness within the market.

• If ES takes out a low while ENQ does not, it suggests potential upward movement in the market.

Sequential SMT Overview

Key Time Frames for Analysis

• Specific time frames are essential for identifying sequential SMT; these will be discussed further in examples later in the video.

Triads for Trading

• A table outlines main trading triads across various markets including Forex and commodities.

• Traders can create their own triads but should limit themselves to three closely correlated assets to avoid false signals.

Understanding Sequential SMT in Trading

Overview of Time Frames

• The discussion begins with the importance of specific time frames for analyzing the quadrennial cycle, emphasizing consistency with previously taught cycles.

• Key time frames include:

• Quadrennial: 1 month

• Yearly: 1 week

• Quarterly: Daily

• Monthly: 4 hours

• Weekly: 1 hour

• Daily: 15 minutes

• Micro (5-minute): 1 minute

Sequential SMT Explained

• Sequential SMT refers to the analysis between two consecutive quarters within a trading cycle, which consists of four quarters.

• It is crucial to focus on consecutive quarters (Q1 to Q2, Q2 to Q3, etc.) rather than skipping any quarter in between.

Practical Application of SMT Divergence

• When a new cycle starts, traders can analyze the previous quarter's performance alongside the current one. For example, comparing Q4's PM session with Q1's Asia session.

• Emphasis on filtering true opens and recognizing manipulation above and below price levels as confirmation for sequential SMT.

Simplifying Sequential SMT Analysis

• To facilitate understanding, traders can visualize sequential SMT through specific candles over defined periods (e.g., daily cycles).

• Each daily cycle lasts six hours; thus, identifying divergences between two consecutive six-hour candles simplifies analysis.

Identifying Highs and Lows

• Traders should mark extreme highs and lows from the previous quarter when looking for sequential SMT opportunities.

• The absolute high and low must be identified without considering random fluctuations during that period.

Correlation Between Assets

• It's important to analyze closely correlated assets when assessing sequential SMT; these do not need to form highs or lows simultaneously.

• For instance, if NQ prints a high at a certain time during London session while ES does so later, both can still indicate valid sequential SMT conditions.

Understanding Sequential SMT and Market Cycles

Key Concepts of Sequential SMT

• The importance of marking the highest high across all assets is emphasized, with a focus on waiting for one asset to surpass this high while another fails to do so.

• An example is introduced, illustrating how to identify the lowest low over two quarters (Q2 and Q3), which serves as a reference point for market analysis.

• The process involves monitoring price movements relative to previous lows, specifically looking for correlated assets that do not dip below these lows.

• Identifying divergences between assets can signal potential upward movements in the market, allowing traders to anticipate entry points based on observed patterns.

• A tip is provided regarding sequential S&P formations: bullish signals should ideally occur below the true open, while bearish signals should appear above it.

Practical Application of Chart Analysis

• The speaker transitions into real-time chart examples, highlighting how their proprietary indicator simplifies identifying key market levels and trends.

• The Oracle Insights quarterly theory indicator automates marking significant points such as true opens and sequential SMT lines on charts for easier analysis.

• Observations are made about the reliability of sequential SMT indicators in predicting market movements, including reversals and retracements.

• The effectiveness of sequential SMT in confirming expansions or indicating potential reversals is discussed, underscoring its utility across various cycles.

• It’s noted that sequential SMT often marks highs and lows regardless of the cycle being analyzed, reinforcing its significance in trading strategies.

Trading Strategies Based on Market Cycles

• Understanding cycles tied to candle formations helps traders establish biases about future price movements; recognizing patterns from past weeks aids predictions for upcoming cycles.

• A lack of sequential SMT formation in previous weeks suggests lower likelihood for price reversal; thus maintaining an upward bias becomes more plausible when no opposing signals are present.

• Weekly cycle observations indicate that specific days can set critical highs or lows based on prior patterns established by sequential SMT formations.

• Traders are encouraged to enter each cycle with a clear bias based on historical data and current indicators rather than relying solely on speculative moves.

Understanding Bullish Cycles and Market Manipulation

Analyzing Weekly and Hourly Cycles

• The discussion begins with a focus on identifying bullish positions tied to weekly cycles, emphasizing the importance of waiting for the two-week open to be established before making trading decisions.

• A specific example is provided where Monday's low was taken out on Tuesday for ENQ, highlighting how different assets respond to market lows and highs.

• The significance of marking the lowest low of YM at 10:00 a.m. is discussed, indicating that price movements are primarily influenced by specific asset lows rather than general trends.

• The concept of sequential SMT (Smart Money Technique) is introduced as an indicator for potential reversals in market trends, particularly after confirming bullish cycles.

• It’s noted that Q3 distribution targets previous week highs while maintaining a bullish outlook until clear bearish signals emerge.

Sequential SMT and Market Dynamics

• Sequential SMT serves as a tool for anticipating market continuation or reversal; without clear bearish indicators, prices are expected to trend higher.

• On Thursday, if all assets had surpassed Wednesday's high, it would have indicated continued upward movement; however, the presence of a bearish cycle suggested otherwise.

• Price action returning to yesterday's range demonstrates that retracements can occur without leading to full reversals; logical targets are identified based on these movements.

• Another bullish weekly cycle sequential SMT forms at a discount level from yesterday’s range, suggesting potential upward movement despite current uncertainties in price direction.

Current Market Sentiment and Future Expectations

• The manipulation of highs and lows creates uncertainty in market direction; analyzing higher time frames helps clarify potential future movements.

• Despite some bearish signals observed in lower time frames, an overall bullish sentiment remains until significant displacement occurs alongside sequential SMT confirmations.

• Observations indicate that while there may be short-term fluctuations downward, the broader trend appears bullish unless strong evidence suggests otherwise.

• Emphasis is placed on filtering out lower probability setups by zooming out to higher time frames to align trades with prevailing market narratives.

Conclusion: Navigating Complex Market Signals

• The speaker highlights the complexity of current market dynamics through various cycles (daily/weekly), stressing the need for traders to adapt their strategies based on evolving conditions.

Understanding Sequential SMT and Market Cycles

Introduction to Market Cycles

• The speaker discusses the concept of a 90-minute cycle, emphasizing its consistent presence in market analysis.

• A clean cycle typically forms one sequential SMT (Smart Money Technique), followed by distribution. Multiple back-to-back SMTs indicate low probability conditions.

Identifying Price Action

• If price direction is unclear on higher time frames, it’s advisable to avoid trading that action as it may lead to consolidation.

• The speaker notes that real market moves often follow higher time frame signals, such as sequential TB (Time-Based).

Utilizing Multiple Time Frames

• Combining different cycles can enhance analysis; for instance, using a weekly cycle with a daily or 90-minute cycle for confirmation.

• It’s recommended not to jump more than two cycles down when analyzing trends (e.g., from weekly to daily or 90 minutes).

Establishing Trading Bias

• Traders should identify their bias based on the cycle and wait for at least one sequential SMT before entering trades.

• Backtesting is crucial; historical data often shows that daily or 90-minute cycles determine high and low points effectively.

Conclusion and Community Engagement

• The video aims to clarify concepts related to manipulation and reversal in trading strategies, particularly through sequential SMT.

• Viewers are encouraged to engage with the content by liking, subscribing, commenting, and joining the Discord community for further learning opportunities.