Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds.
⯁ KEY FEATURES
Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator.
Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity.
Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals.
Simple and Strong Signal System :
Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals.
Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts.
Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart.
Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays.
⯁ HOW TO USE
Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals.
Use regular signals (small diamonds) for minor trend shifts within the RSI range.
Combine with price action and other indicators to confirm entry and exit points.
Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions.
⯁ CONCLUSION
The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.
Indicatori e strategie
Composite Scaled EMA LevelsComposite Scaled EMA Levels Indicator
This TradingView Pine Script indicator calculates a “composite EMA” that compares the closing price of the current asset with that of the XU100 index and scales the EMA values to the XU100 level. It then visualizes these computed levels as horizontal lines on the chart with corresponding labels.
Key Components:
Inputs and Data Retrieval:
Length Input: The user defines a parameter length (default is 10) which determines over how many bars the horizontal line is drawn.
Data Collection:
The daily closing price of the current symbol (current_close) is retrieved using request.security().
The daily closing price of the XU100 index (xu100) is also retrieved.
A ratio is computed as current_close / xu100. This ratio serves as the basis for calculating the composite EMAs.
EMA Calculations:
The indicator computes Exponential Moving Averages (EMAs) on the ratio for specific periods.
In the provided version, the script calculates EMAs for three periods (34, 55, and 233), though you can easily expand this to other periods if needed.
Each computed EMA (for instance, EMA34, EMA55, EMA233) is then scaled by multiplying it with the XU100 index’s close, converting it to a price level that is meaningful on the chart.
Drawing Horizontal Lines:
Instead of using the standard plot() function, the script uses line.new() to draw horizontal lines representing the scaled EMA values over the last “length” bars.
Before drawing new lines, any existing lines and labels are deleted to ensure that only the most current values are shown.
Adding Labels to Lines:
The script creates a label for each EMA using label.new(), placing the label at the current bar (i.e., the rightmost position on the chart) using label.style_label_left so that the text appears to the right of the line.
The label displays the name of the composite EMA (e.g., "Composite EMA 34") along with its current scaled value.
Visualization:
The horizontal lines and labels provide a visual reference for the composite EMA levels. These lines help traders see critical support/resistance levels derived from the relationship between the current asset and the XU100 index.
Colors are assigned for clarity (for example, the EMA lines in this version use green).
Summary:
The Composite Scaled EMA Levels indicator is designed to help traders analyze the relationship between an asset’s price and the broader market index (XU100) by calculating a ratio and then applying EMAs on that ratio. By scaling these EMAs back to price levels and displaying them as horizontal lines with clear labels on the chart, the indicator offers a visual tool to assess trend direction and potential support or resistance levels. This can assist in making informed trading decisions based on composite trend analysis.
Ultimate TABI Signal Visualizer (Overlay v8.4 Opt)// © dotcom880 (Based on original TABI by renderingnature1 & v4 Buy/Hold Entry Finder by runescapeyttanic)
// Indicator Purpose: Visualizes TABI RSI zones via background coloring on the main chart.
// Plots Buy/Sell signals (with confidence levels) and optional Moving Averages /
// Bollinger Bands directly on the price chart. Defaults optimized for D/W ETFs.
// Version: 8.4 (Indicator Overlay - Optimized D/W Defaults)
Gradient Range [BigBeluga]
This indicator highlights range-bound market conditions by dynamically plotting gradient-colored candlesticks within a defined price box. It detects whether the market is ranging or trending using ADX and can identify mean reversion points when price steps outside the established range.
🔵KEY FEATURES:
Range Detection Box:
➣ A transparent box is drawn based on the highest and lowest price close over a user-defined period.
➣ Helps visualize range boundaries and the midline for support/resistance reference.
Gradient Candlestick Coloring:
➣ Candles inside the range are colored with a gradient from top to bottom based on proximity to the midline.
➣ Top range candles are shaded with bearish tones, while bottom range candles use bullish tones.
Ranging/Trending State Detection:
➣ Uses ADX to determine if the market is currently in a ranging or trending state.
➣ A label in the bottom right corner shows a real-time status (🟢 Ranging / 🟡 Trending).
Mean Reversion Signal Circles:
➣ When the market is ranging, white circles are plotted at highs/lows that breach the box boundary, indicating potential mean reversion points.
➣ These levels can act as fade trade setups or exhaustion markers.
🔵USAGE:
Range Trading: Trade between the upper and lower boundaries during range-bound conditions with clearer visual feedback.
Mean Reversion Plays: Use circle signals as early alerts to identify when price extends beyond the range and may revert to the mean.
Visual Trend Strength: Instantly recognize where price is concentrated inside the range via the color gradient system.
Ranging Filter: Use the ADX label to avoid false setups during strong trending periods.
Gradient Range provides an elegant and data-driven approach to range-bound market analysis. With its gradient visualization and smart reversion detection, it empowers traders to better time entries and exits within consolidation zones.
High Accuracy Reversal Indicator 🔻🔺High Accuracy Reversal Indicator 🔻🔺 is a powerful custom indicator designed to detect precise market reversal points with minimal noise.
🚀 Key Features:
✅ Red 🔻 triangle = potential sell/reversal signal at swing highs
✅ Green 🔺 triangle = potential buy/reversal signal at swing lows
✅ ATR-based filtering to reduce false signals
✅ Works on any market (Forex, Crypto, Stocks) and any timeframe
✅ Great for scalping, swing trading, or trend reversals
Whether you're a beginner or pro, this tool will help you identify high-probability entries and exits like never before.
🔍 Use with price action or your favorite trend indicator for best results.
Liquidity Trendline With Signals [StratifyTrade]combo of a trendline + indicators with signals of trades.
Intraday vs Overnight Change TrackerThis indicator tracks a synthetic price path based on either intraday or overnight return behavior, allowing users to analyze which component of daily price movement is contributing more to long-term performance.
***THIS INDICATOR ONLY WORKS ON THE DAILY TIMEFRAME***
Intraday mode compounds price change from market open to close: close / open
Overnight mode compounds price change from previous close to current open: open / close
The user can select one of these two modes using a dropdown input. The synthetic price series starts from the second bar of the chart and compounds forward bar-by-bar using the selected return type. The result is a line that reflects cumulative return based solely on either intraday or overnight activity.
⚙️ Inputs
Synthetic Price Type: Select between "Intraday" or "Overnight" to visualize the respective compounded price series.
📈 Usage Notes
This indicator is intended for visual comparison of intraday vs. overnight price dynamics over time. It can be useful for identifying behavioral patterns, session-based return anomalies, or testing session bias strategies.
Only one synthetic line is shown at a time based on user selection.
If you want to view both intraday and overnight lines, then you can add the indicator twice, which is shown above.
Liquidity Sweep & Reversal ZonesLiquidity Sweep & Reversal Zones by Maaz
This indicator detects high-probability liquidity sweep and reversal setups based on institutional smart money behavior. It identifies areas where price wicks above/below equal highs or lows to hunt stop orders, then closes back in range to signal a potential reversal.
Core Features:
✅ Detection of equal highs and lows
✅ Confirmed stop hunts using wick break + reversal close
✅ Visual labeling of “Sweep High” / “Sweep Low” events
✅ Optional FVG (Fair Value Gap) confirmation
✅ Sweep zones drawn as smart money trap boxes
This tool is perfect for traders using:
Smart Money Concepts (SMC)
ICT-inspired entry models
Reversal setups after liquidity grabs
Price Action + Order Block strategies
Ideal for confluence with:
Order Blocks
FVGs / Imbalance
Session highs/lows
Volume spikes
For freelance algorithmic trading, custom indicators, or custom trading and investment tools development, contact Maaz at maazshulli@gmail.com. Specializing in Python, PineScript and trading systems development.
MA Smoothed RSI For LoopMA Smoothed RSI For Loop
Introduction
The MA Smoothed RSI For Loop is a refined momentum indicator that enhances the classic Relative Strength Index (RSI) through advanced smoothing techniques and intelligent visual cues. By applying a moving average smoothing process within a for loop structure and integrating upper and lower threshold logic, this tool enables traders to detect trends with greater clarity and robustness. It is specifically built for traders who seek high-confidence signals through smoothed momentum analysis and contextual visual feedback.
Key Features
For Loop RSI Smoothing: Applies iterative moving average smoothing to the RSI using a for loop, reducing false signals and improving overall trend accuracy.
Threshold-Based Trend Detection: Incorporates upper and lower RSI thresholds to filter out weak signals and confirm strong momentum-driven trends.
Customizable Moving Averages: Supports a variety of moving average types (such as SMA, EMA, WMA) and lengths for tailored responsiveness.
Dynamic Color Feedback: Colors adapt based on RSI position and momentum, making it easy to interpret strength, reversal zones, or trend continuations.
Real-Time Trend Table: Trend Direction (uptrend/downtrend), Strength of Trend (based on RSI slope and threshold behavior) and Duration (number of bars in the current trend phase).
Weighted Loop Control: Allows users to apply weights during the smoothing loop, fine-tuning the indicator’s sensitivity.
How It Works
The indicator begins by computing the RSI from price data. It then enters a for loop where the RSI is repeatedly smoothed with a chosen moving average. This recursive process stabilizes the signal, minimizing the effects of short-term noise.
Upper and lower RSI thresholds are applied to define meaningful zones of momentum. Only when the smoothed RSI crosses and sustains beyond these thresholds is a trend considered significant. The direction and persistence of these movements are visually encoded using dynamic color schemes and captured numerically in the trend table.
This dual-layered method smoothing and threshold filtering provides a robust structure for identifying and monitoring meaningful price momentum.
Use Case
In the example described above we have one long and short positions early triggered once the momentum signal crossed its related threshold up in the case of bullish trend and down for the bearish one.
Conclusion
The MA Smoothed RSI For Loop offers a sophisticated approach to trend analysis by blending smoothed RSI logic with threshold-based confirmation and rich visual interpretation.
Disclaimer
This indicator is designed for educational and informational use only. It should not be construed as financial advice or a recommendation to trade. Always perform your own analysis and consult a qualified financial advisor before making investment decisions. Use at your own risk.
Multi-Oscillator Adaptive KernelMulti-Oscillator Adaptive Kernel
Introduction
The Multi-Oscillator Adaptive Kernel (MOAK) is a powerful momentum-based indicator that fuses multiple popular oscillators RSI, Stochastic, MFI, and CCI into a single, adaptive tool. Through advanced kernel smoothing techniques, MOAK is engineered to filter out market noise and deliver clearer, more consistent trend signals. Whether in trending or ranging markets, MOAK equips traders with a holistic perspective on momentum across multiple timeframes.
Key Features
Oscillator Fusion: Combines normalized values from RSI, Stochastic, Money Flow Index, and Commodity Channel Index to capture broader momentum shifts.
Advanced Kernel Smoothing: Utilizes three kernel smoothing algorithms—Exponential, Linear, and Gaussian—to refine raw oscillator data and minimize false signals.
Customizable Sensitivity: Traders can tailor the indicator's responsiveness by adjusting lookback periods, kernel lengths, and smoothing sensitivity.
Clear Visual Signals: Features a color-coded signal line—cyan for bullish, magenta for bearish—with gradient fills to reflect trend intensity and direction.
Overbought/Oversold Zones: A central zero line helps identify momentum extremes, with layered gradients to indicate the strength of potential reversals or continuations.
Adaptive Signal Design: Dynamically adjusts its output to align with changing market conditions, offering reliable performance across diverse market environments.
How It Works
MOAK starts by calculating and normalizing input from four widely used momentum oscillators: Relative Strength Index (RSI), Stochastic Oscillator, Money Flow Index (MFI), and Commodity Channel Index (CCI). These values are then aggregated to form a composite momentum reading.
To reduce market noise and enhance signal clarity, the composite reading is passed through one of three user-selectable kernel smoothing filters—Exponential, Linear, or Gaussian. These algorithms shape the data curve, softening abrupt fluctuations while preserving meaningful trends.
The resulting smoothed output is rendered visually as a central signal line, colored cyan for upward momentum and magenta for downward momentum. A series of gradient fills around this line illustrates the intensity of the underlying momentum, with the zero line acting as a visual boundary between overbought and oversold regions. Users can customize key parameters such as lookback window, kernel length, and sensitivity level, ensuring the indicator can be optimized for different assets and trading styles.
Examples
MOAK is able to provide clear trend detection on large cap token such as Bitcoin in the example shown below and resistant to noise during consolidation period.
Downside positions are also handled by the indicator, this time on Solana which is more volatile than Bitcoin but even with more volatility MOAK was able to catch an early entry in the downside move.
Below an example on a lower timeframe with a low cap token Fartcoin where MOAK triggered an early entry on a positive uptrend.
Conclusion
MOAK is a sophisticated yet intuitive momentum indicator, merging the strengths of multiple oscillators into a cohesive and adaptive signal. Its kernel-based smoothing and customizable parameters make it a valuable tool for traders seeking to identify trend direction, assess momentum strength, and filter out short-term noise with precision. Ideal for both trend-following and range-trading strategies, MOAK offers a versatile edge in dynamic market conditions.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, nor does it guarantee specific results. Always perform your own analysis and consult a licensed financial advisor before making any trading decisions. Use at your own risk.
Dynamic Volume Profile OscillatorDynamic Volume Profile Oscillator
Introduction
The Dynamic Volume Profile Oscillator (DVPO) is an advanced technical analysis tool that merges volume profiling with price action dynamics to enhance trend identification and improve trade entry precision. Unlike conventional oscillators that rely solely on price-based metrics, DVPO incorporates adaptive volume-weighted mean deviations to present a more responsive and insightful perspective on market behavior. This makes it a powerful instrument for traders seeking refined momentum insights and context-aware overbought/oversold detection.
Key Features
Adaptive Volume Profiling: Utilizes real-time volume data to adjust the oscillator’s sensitivity to prevailing market activity, enabling more accurate trend and exhaustion zone identification.
Mean Reversion Mode: Highlights potential reversion points when price deviates significantly from volume-weighted norms, ideal for contrarian and range-bound strategies.
Oscillator Smoothing: Integrates optional smoothing filters to reduce noise and provide clearer directional signals without sacrificing responsiveness.
Dynamic Midline & Zones: Features an evolving midline calibrated to the current volume-weighted context, along with dynamically adjusting overbought and oversold zones.
Signal Crossovers: Generates actionable momentum signals when the oscillator crosses key thresholds or the midline, aiding in timing entries and exits.
Gradient Zone Visualization: Visually represents intensity and directional bias through gradient color zones, helping users quickly assess momentum strength and market condition shifts.
How It Works
The DVPO calculates deviations from a volume-weighted average price baseline across a defined lookback period. These deviations are then transformed into an oscillator that fluctuates above and below a dynamic midline, which represents the fair value zone based on recent volume distribution.
To enhance interpretability, the indicator introduces:
Dynamic Zones that expand or contract based on current volatility and volume skewness.
Smoothing algorithms (optional) that can be applied to reduce erratic movements caused by sudden spikes in volume.
Gradient coloring to reflect the strength and direction of the momentum — darker tones indicate stronger trends, while lighter ones suggest potential reversals or weakening trends.
Crossover logic that detects when the oscillator line crosses above or below the midline or critical thresholds, often coinciding with trend initiations or reversals.
Conclusion
The Dynamic Volume Profile Oscillator offers a significant enhancement to traditional momentum indicators by intelligently adapting to both price and volume shifts. Whether used for trend following, mean reversion, or breakout confirmation, its comprehensive design provides traders with an intuitive yet powerful edge in identifying actionable market signals across varying conditions.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users should perform their own due diligence and consult a qualified financial advisor before making any trading decisions.
DEMA SuperTrendDEMA SuperTrend
Introduction
The DEMA SuperTrend is a sophisticated trend-following indicator that integrates the speed and smoothness of the Double Exponential Moving Average (DEMA) with the classic SuperTrend methodology. Designed for traders seeking a more responsive alternative to standard trend indicators, the DEMA SuperTrend helps identify the prevailing market direction with minimal lag. It plots directly on the price chart, making it intuitive and accessible for real-time analysis across various timeframes and trading instruments.
Key Features
DEMA-Based Smoothing: Enhances traditional SuperTrend signals by applying DEMA, reducing signal lag and improving responsiveness to market changes.
Dynamic Trend Visualization: Clearly marks uptrend and downtrend phases with adaptive bands that follow price action.
Customizable Inputs: Users can tailor the ATR period, multiplier, and DEMA length to suit their strategy and trading style.
Visual Themes: Custom color schemes and line styles offer a personalized charting experience, supporting better clarity and decision-making.
How It Works
The DEMA SuperTrend calculates the Average True Range (ATR) to measure market volatility and applies a multiplier to determine the band offset. Instead of using a standard moving average, it employs the Double Exponential Moving Average to smooth the price series. The result is a responsive overlay that adjusts more quickly to market shifts compared to the traditional SuperTrend.
Uptrend: Triggered when the price closes above the DEMA-adjusted upper band.
Downtrend: Triggered when the price closes below the DEMA-adjusted lower band.
Band Switching: When a crossover occurs, the indicator switches the band to the opposite side of the price, signaling a potential change in trend direction.
Visual cues and color-coded zones on the chart enhance interpretability, making it easier for traders to react promptly to shifts in momentum.
Conclusion
The DEMA SuperTrend indicator combines the best of both worlds—robust trend-following logic and advanced smoothing—offering traders a powerful tool for identifying and tracking market trends with enhanced accuracy. Its versatility, responsiveness, and customization features make it suitable for both intraday and swing trading strategies.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users should conduct their own research and risk assessment before making trading decisions.
Dynamic Momentum BandsDynamic Momentum Bands
Introduction
The Dynamic Momentum Bands indicator is a powerful analytical tool designed to help traders identify the strength and direction of market momentum with greater precision. By combining key technical methodologies such as Relative Strength Index (RSI), adaptive volatility analysis, and customizable moving averages this indicator offers a multi-dimensional perspective on evolving market conditions. Whether in trending or ranging environments, Dynamic Momentum Bands aim to deliver actionable insights that enhance decision-making and risk management.
Key Features
Adaptive Band Calculation: The bands adjust dynamically in response to market conditions, allowing them to expand during volatile periods and contract during consolidation phases.
RSI-Driven Volatility Scaling: Integrates RSI analysis to scale the width of the bands based on momentum strength, creating a responsive and context-aware framework for trend evaluation.
Multiple Moving Average Options: Offers flexibility with various smoothing techniques, enabling users to tailor the indicator to their preferred strategies (e.g., EMA, SMA, WMA).
Smooth Gradient-Based Visualization: Enhances visual clarity with color gradients that reflect momentum intensity and directional bias, supporting intuitive interpretation of the market state.
How It Works
The Dynamic Momentum Bands indicator operates by combining three core components:
Adaptive Moving Averages: A central baseline is calculated using a selected moving average type. This baseline reflects the general price trend over a user-defined lookback period.
Volatility-Scaled Band Widths: Band distances from the central average are determined using an RSI-based volatility model. Higher RSI values and volatility readings cause the bands to widen, signaling stronger price momentum or potential breakouts.
Gradient Visualization: The bands are color-coded with gradient fills to reflect changes in momentum strength, providing real-time visual cues about potential trend shifts or exhaustion points.
This integration of methodologies allows the indicator to remain responsive to price action while maintaining a smooth, noise-filtered representation of market dynamics.
Conclusion
The Dynamic Momentum Bands indicator offers a versatile and insightful approach to tracking market momentum and volatility. Its adaptive design and multifactor methodology make it suitable for traders who seek a deeper understanding of price behavior beyond conventional moving average envelopes. By delivering a visually rich and responsive analysis tool, it empowers users to make more informed trading decisions across various market environments.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users are advised to conduct their own analysis and consult with a licensed financial advisor before making any trading decisions.
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.
Simple Signals [ko]Simple Signals is an indicator to highlight turning points in oscillations.
Simple Signals, abbreviated SS, has two lines. The red/green line is a smoothed representation of the current price action. Notice how similar the shape of the indicator is to the smoothed price line.
However instead of being at absolute price levels, the price line oscillates around zero. Think of the zero line as an SMA 50. The top panel has an SMA 50. Look at how the crossings match up.
The white line is the slope of the price line. Some who survived calculus might call it a derivative. So when the white line crosses the zero line, there's your signal. There are triangle indicators to also highlight this momentous occasion of catching the turning point. Ride 'em, cowboy.
The parameters for adjustment are:
Derivative Smoothing, initially set at 10, smooths the white line so it does not jump around erratically. Take it down to 1 and you'll see the individual bar log returns, which looks a little frantic to me. Higher values, say 20, 30 or 40, will smooth the line more at the cost of introducing lag. Lag is the bane of a trader's existence.
Curve Smoothing: smooths the price line. Set to 200 initially, the price line approximates the shape of the actual smoothed price action, with crossings. Alternative settings for Curve Smoothing are anything greater than the Derivative Smoothing value.
Curve Scale, is a multiplier for the curve, which is necessary when changing time frames. This indicator has been tested down to 5 second bars with favorable results.
Derivative Smoothing at 40 and Curve Smoothing at 50 provide a zero line that is close to an SMA 20. I frequently have the indicator up twice with the two different settings to show signals and confirmations in rapidly evolving markets. Trends and reversals can lead to whipsaw patterns. Multiple instances simultaneously can help avoid those pitfalls.
Hope you like it. If you find any other parameter combinations useful, please post in the comments.
Zero Lag Trend Signals (MTF) [SYED WAQAR]ZLEMA Zero Lag Trend Indicator by Waqar
This custom-built Zero Lag Exponential Moving Average (ZLEMA) indicator is designed to help traders identify the market’s underlying trend with precision. Unlike traditional moving averages, this indicator significantly reduces lag, allowing you to make quicker, more informed decisions.
Features:
Zero Lag Calculation: The ZLEMA eliminates the typical lag seen in other moving averages, giving you a more accurate reflection of the market’s true direction.
Dynamic Trend Bands: The indicator includes dynamic upper and lower trend bands to visualize price volatility and help detect potential trend reversals.
Easy to Use: Integrated with simple buy/sell signals based on the ZLEMA’s behavior, making it beginner-friendly and effective for all trading strategies.
Customizable: Adjust the length and volatility multiplier to fit your trading style.
How to Use:
The ZLEMA line (orange) tracks the trend direction.
The green/red trend bands highlight bullish/bearish market conditions.
Use the trend shift and arrows for potential entry/exit signals.
Best Used For:
Day Trading, Swing Trading, and Scalping across all timeframes.
Ideal for traders who prefer a low-lag, high-precision indicator that adapts to changing market conditions.
Important Note: As with any indicator, always combine this with proper risk management and analysis to make well-informed trading decisions.
Session extensions [dani]Session Extension
Indicator Description
The Session Extensions indicator is a customizable tool designed to visually represent key price levels during a specified trading session. It calculates and displays the high, low, and midpoints of the session, along with extension levels based on user-defined multipliers. These extensions help traders identify potential support and resistance zones beyond the initial session range.
This indicator is particularly useful for intraday traders who rely on session-based analysis to make informed decisions. It overlays directly on the chart, ensuring seamless integration with price action.
Key Features
Session-Based Analysis : Tracks and highlights key price levels (high, low, midpoint) during a specific trading session.
Customizable Extension Levels : Allows users to define up to six extension levels (both above and below the session range) with unique multipliers, colors, styles, and widths.
Real-Time Updates : Automatically updates during the active session and resets at the start of a new session.
Usage Guidelines
Add the Indicator to Your Chart : Apply the Session Extensions indicator to your chart to visualize key session-based levels.
Intraday Focus : This indicator is optimized for intraday trading. Ensure that the chart's timeframe is set to an intraday interval (e.g., 1-minute, 5-minute).
Session Alignment : Verify that the session time aligns with your trading schedule and timezone. Misalignment may result in incorrect session detection. (This indicator use America - New York timezone)
Avoid Overcrowding : While the indicator supports multiple extension levels, enabling too many levels simultaneously may clutter the chart. Use discretion when configuring extension levels.
Customize Line Styles and Colors : Tailor the appearance of lines and labels to align with your trading style. Use solid, dashed, or dotted lines, and choose colors that enhance visibility without cluttering the chart.
Combine with Other Tools : Pair this indicator with other technical analysis tools (e.g., moving averages, volume profiles) to enhance decision-making.
Disclaimer & Chat
The Session Extensions indicator is intended for educational and analytical purposes only. It does not provide financial advice or guarantee trading success. Users are responsible for verifying the accuracy of session times and ensuring proper configuration before using the indicator in live trading. This indicator is not a trading signal generator.
Thank you for choosing this indicator! I hope it becomes a valuable part of your trading toolkit. Remember, trading is a journey, and having the right tools can make all the difference. Whether you're a seasoned trader or just starting out, this indicator is designed to help you stay organized and focused on what matters most—price action. Happy trading, and may your charts be ever in your favor! 😊
From, Dani.
10:05 AM 5min 15min 1hour high and low This indicator gives the ranges for the high and low of the first 5 min candle, the first 15min candle, and the first hour candle.
The 10:05 candle is typically the first candle without the liquidity, and starts the trend.
[blackcat] L2 Ehlers Convolution Indicator V2OVERVIEW The L2 Ehlers Convolution Indicator V2 is an advanced technical analysis tool that applies convolution techniques to identify market trends and potential reversal points. It uses adaptive filtering to analyze price movements across multiple timeframes.
FEATURES
• Advanced convolution algorithm based on Ehlers' methodology
• Multiple timeframe analysis (S2 through S60)
• Dynamic color coding for trend direction:
Red: Downward trend
Green: Upward trend • Adjustable sensitivity through period inputs
HOW TO USE
Input Parameters:
• ShortestPeriod: Minimum period length for calculations
• LongestPeriod: Maximum period length for calculations
Interpretation:
• Red bars indicate downward momentum
• Green bars indicate upward momentum
• Bar height corresponds to the timeframe analyzed
LIMITATIONS
• Requires sufficient historical data for accurate calculations
• May produce false signals during volatile markets
• Performance depends on selected period parameters
NOTES
• The indicator uses arrays to store correlation, slope, and convolution values
• Each bar represents a different timeframe analysis
• Color intensity varies based on the strength of the signal
Magnetic Zones - Multi TimeframeKey Features and Benefits:
1. Multiple Timeframe Analysis
- Daily (D) timeframe for primary trend
- Weekly (W) for longer-term perspective
- Monthly (M) for major structural levels
2. Support/Resistance Levels
- PDHL (Previous Day High/Low)
- Pivot Points (P)
- Multiple SR levels (SR1-SR6)
- Color-coded for easy identification
3. Trading Applications:
- Identify key support/resistance zones
- Find potential reversal areas
- Plan entries and exits
- Set stop-loss levels
How to Use:
1. Zone Analysis
- Green zones indicate support areas
- Red zones show resistance levels
- Gray zones represent subsidiary levels
2. Multiple Timeframe Strategy
- Use Daily zones for intraday trading
- Weekly zones for swing trading
- Monthly zones for position trading
3. Moving Average Integration
- Optional EMA/SMA for trend confirmation
- Customize MA settings for your strategy
- Use MA crossovers with zones
4. Best Practices:
- Look for price reaction at zone intersections
- Higher probability trades when multiple zones align
- Use box transparency to gauge zone strength
- Combine with volume for better confirmation
5. Risk Management:
- Place stops beyond relevant zones
- Scale positions based on zone strength
- Use zone boundaries for position sizing
ScalpSwing Pro SetupScript Overview
This script is a multi-tool setup designed for both scalping (1m–5m) and swing trading (1H–4H–Daily). It combines the power of trend-following , momentum , and mean-reversion tools:
What’s Included in the Script
1. EMA Indicators (20, 50, 200)
- EMA 20 (blue) : Short-term trend
- EMA 50 (orange) : Medium-term trend
- EMA 200 (red) : Long-term trend
- Use:
- EMA 20 crossing above 50 → bullish trend
- EMA 20 crossing below 50 → bearish trend
- Price above 200 EMA = uptrend bias
2. VWAP (Volume Weighted Average Price)
- Shows the average price weighted by volume
- Best used in intraday (1m to 15m timeframes)
- Use:
- Price bouncing from VWAP = reversion trade
- Price far from VWAP = likely pullback incoming
3. RSI (14) + Key Levels
- Shows momentum and overbought/oversold zones
- Levels:
- 70 = Overbought (potential sell)
- 30 = Oversold (potential buy)
- 50 = Trend confirmation
- Use:
- RSI 30–50 in uptrend = dip buying zone
- RSI 70–50 in downtrend = pullback selling zone
4. MACD Crossovers
- Standard MACD with histogram & cross alerts
- Shows trend momentum shifts
- Green triangle = Bullish MACD crossover
- Red triangle = Bearish MACD crossover
- Use:
- Confirm swing trades with MACD crossover
- Combine with RSI divergence
5. Buy & Sell Signal Logic
BUY SIGNAL triggers when:
- EMA 20 crosses above EMA 50
- RSI is between 50 and 70 (momentum bullish, not overbought)
SELL SIGNAL triggers when:
- EMA 20 crosses below EMA 50
- RSI is between 30 and 50 (bearish momentum, not oversold)
These signals appear as:
- BUY : Green label below the candle
- SELL : Red label above the candle
How to Trade with It
For Scalping (1m–5m) :
- Focus on EMA crosses near VWAP
- Confirm with RSI between 50–70 (buy) or 50–30 (sell)
- Use MACD triangle as added confluence
For Swing (1H–4H–Daily) :
- Look for EMA 20–50 cross + price above EMA 200
- Confirm trend with MACD and RSI
- Trade breakout or pullback depending on structure
Enhanced Execution ToolA comprehensive position sizing calculator for disciplined risk management
Description :
This tool provides traders with precise position sizing calculations based on their account parameters and market conditions. The indicator calculates optimal position sizes for different entry scenarios while maintaining strict risk control.
Key Features:
Multiple entry options (High, Close, Manual)
Flexible stop loss configuration (LoD or Previous Day Low)
Account-based risk management (1% risk by default)
ATR-based distance metrics for volatility assessment
Clear visual table displaying all critical trade parameters
How to Use:
Configure your account size and risk percentage
Select your preferred entry methods (High/Close/Manual)
Choose stop loss reference (Low of Day or Previous Day Low)
View calculated position sizes and risk parameters
For manual entries, input your desired entry and stop prices
Input Parameters:
Account Configuration: Set your capital and risk tolerance
Entry Options: Choose which entry methods to display
Stop Loss: Select stop loss reference level
Technical Settings: Adjust ATR length and distance limits
Display Options: Customize table appearance
Output Includes:
Risk amount in dollars
Risk as percentage of entry price
Entry to stop loss as percentage of ATR
Stop loss price
Entry price
Position size as % of account
Share quantity
Ideal For:
Traders who want to maintain consistent risk management
Those who need quick position sizing calculations
Investors who trade with multiple entry strategies
Note: Always verify calculations before executing trades. This tool is designed to assist with trade planning, not as trade advice.
