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Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence🔵 Introduction Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts. In simple terms, SMT (Smart Money Technique) occurs when two correlated assets—such as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)—exhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trend—hinting at an imminent reversal or at least a pause in momentum. In its Sequential form, SMT divergences are examined through a more granular temporal lens—between intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theory—a framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation. For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline. However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essential—a specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones. The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)—when most weekly highs and lows tend to form. Bullish Sequential SMT : Bearish Sequential SMT : 🔵 How to Use The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing level—while the other fails to reach it. This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)—a confirming candle on lower timeframes (5m–15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity. 🟣 Bullish Sequential SMT In the previous quarter, both assets form a similar swing low. In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it. The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure. This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low. 🟣 Bearish Sequential SMT In the previous quarter, both assets form a similar swing high. In the current quarter, one asset (e.g., NQ) breaks above that high. The other asset (e.g., ES) fails to reach that high, remaining below it. This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high. 🔵 Settings ⚙️ Logical Settings Quarterly Cycles Type : Select the time segmentation method for SMT analysis. Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro. These define how the indicator divides market time into Q1–Q4 cycles. Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD). Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings. Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection. Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active). Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared. Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated. 🎨 Display Settings Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart. Show Bullish SMT Line : Draws a line connecting the bullish divergence points. Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected. Bullish Color : Sets the color for bullish SMT markers (label, shape, and line). Show Bearish SMT Line : Draws a line for bearish divergence. Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found. Bearish Color : Sets the color for bearish SMT visual elements. 🔔 Alert Settings Alert Name : Custom name for the alert messages (used in TradingView’s alert system). Message Frequency : All: Every signal triggers an alert. Once Per Bar: Alerts once per bar regardless of how many signals occur. Per Bar Close: Only triggers when the bar closes and the signal still exists. Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC). Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals. Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals 🔵 Conclusion The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics. By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones. Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
Pine Script® indicator
by TFlab
5
Supertrend + BB + Consecutive Candles + QQE + EMA [Pineify]Overview This indicator, developed by Pineify, is a comprehensive tool designed to assist traders in making informed decisions by combining multiple technical analysis methods. It integrates Supertrend, Bollinger Bands (BB), Consecutive Candles, Quantitative Qualitative Estimation (QQE), and Exponential Moving Averages (EMA) into a single, cohesive script. This multi-faceted approach allows traders to analyze market trends, volatility, and potential buy/sell signals with greater accuracy. Key Features 1. Supertrend: Utilizes the Supertrend indicator to identify the prevailing market trend. It provides clear buy and sell signals based on the direction of the trend. 2. Bollinger Bands (BB): Measures market volatility and identifies overbought or oversold conditions. The script calculates the middle, upper, and lower bands, along with the Bollinger Band Width (BBW) and Bollinger Band %B (BBR). 3. Consecutive Candles: Detects sequences of consecutive bullish or bearish candles, providing signals when a specified number of consecutive candles are detected. 4. Quantitative Qualitative Estimation (QQE): Combines the Relative Strength Index (RSI) with a smoothing factor to generate buy and sell signals based on the QQE methodology. 5. Exponential Moving Averages (EMA): Includes both fast and slow EMAs to identify potential crossovers, which are used as buy and sell signals. How It Works - Supertrend: The Supertrend indicator is calculated using a factor and ATR length. It plots the trend direction and generates buy/sell signals when the trend changes. - Bollinger Bands: The BB indicator calculates the middle band as a Simple Moving Average (SMA) of the closing prices. The upper and lower bands are derived by adding and subtracting a multiple of the standard deviation from the middle band. - Consecutive Candles: This feature counts the number of consecutive candles that close higher or lower than the previous candle. When the count reaches a specified threshold, it generates a buy or sell signal. - QQE: The QQE indicator smooths the RSI values and calculates the QQE Fast and QQE Slow lines. Buy and sell signals are generated based on the crossover of these lines. - EMA: The script calculates fast and slow EMAs and generates buy/sell signals based on their crossovers. How to Use 1. Inputs: Customize the indicator settings through the input parameters: - Supertrend Factor and ATR Length - BB Length - Consecutive Candles Counting - QQE RSI Length - Fast and Slow EMA Lengths - Enable/Disable Alerts for various signals 2. Alerts: Set up alerts for Supertrend, Consecutive Candles, and EMA crossovers. Alerts can be enabled or disabled based on user preference. 3. Visualization: The indicator plots the Supertrend, Bollinger Bands, and EMA lines on the chart. It also marks buy and sell signals with arrows and labels for easy identification. Concepts Underlying Calculations - Supertrend: Based on the Average True Range (ATR) to determine the trend direction and potential reversal points. - Bollinger Bands: Utilizes standard deviation to measure market volatility and identify overbought/oversold conditions. - Consecutive Candles: A method to detect momentum by counting consecutive bullish or bearish candles. - QQE: Enhances the traditional RSI by smoothing it and using a dynamic threshold to generate signals. - EMA: A widely used moving average that gives more weight to recent prices, making it responsive to market changes. This indicator is a powerful tool for traders looking to combine multiple technical analysis methods into a single, easy-to-use script. By integrating these diverse techniques, it provides a comprehensive view of market conditions and potential trading opportunities.
Pine Script® indicator
by Pineify
7
Consecutive count backtester / quantifytools- Overview Consecutive counting is a simple method to mechanically define trending states to the upside and downside. Consecutive counts are calculated by taking reference price level (e.g. close 4 candles ago) and count closes above/below it up to a maximum count that resets the consecutive count back to 1. This tool provides the means to backtest each count by measuring % change in price after each count (e.g. % gain 2 candles after a given count). Users can define reference source that starts the consecutive count (e.g. close 4 candles ago), maximum count where counter resets (e.g. after 9th count) and backtesting period (e.g. price change 2 candles after count). Filters add extra conditions that must be met on the consecutive count to qualify as valid, which are also reflected on the backtest metrics. The counts can be refined using the following filters: - RSI above/below X - Price above/below/at moving average of choice - Relative volume above/below X Average gain corresponding to each count as they occur can be toggled off for less clutter. Average price change can also be visualized using candle color. Colors, gradient and table/label sizes are fully customizable. - Practical guide Example #1: Identify reversal potential Consecutive counting is a simple yet effective method to for detecting reversals, for which 7-9 counts are traditionally used. Whether that holds true or not can now be put through a test with different variations of the method as well as using additional filters to improve the probability of a turn. Example #2: Identify trend following potential Consecutive counts can also have utility value for trend following. When historical short term change is to the downside, expect downside, when to the upside, expect upside.
Pine Script® indicator
by quantifytools
2
Trend Reversal Alerts Strategy [lite]This strategy was created as experimental and after playing around with it, I was able to realize what is a good way to base your strategy on and what is not. This one is most primitive way and you should not expect gains from it(it's best on the weekly btw). Anyway, all my attempts to advance this strategy in the end gave me around 1%2% +Net Profit on the hourly timeframe and drastically reduced the Net Profit by 50% on the weekly, so I think it is a waste of my time, but if you feel like you have ideas to share with me, please feel free to comments below!
Pine Script® strategy
by sequentialvision