SuperSmoothed Volume Zone Oscillator------------------------------------------------------------------------------------
SUPERSMOOTHED VOLUME ZONE OSCILLATOR (SSVZO)
TECHNICAL INDICATOR DOCUMENTATION
------------------------------------------------------------------------------------
Table of Contents:
1. Original VZO Background
2. SuperSmoother Technology
3. SSVZO Components
3.1. Main SSVZO Oscillator
3.2. Momentum Velocity Component
3.3. Adaptive Levels
3.4. Static Levels
3.5. Trend Shift Detection
3.6. Glow Effect Visualization
4. References & Further Reading
------------------------------------------------------------------------------------
1. ORIGINAL VOLUME ZONE OSCILLATOR (VZO) BACKGROUND
------------------------------------------------------------------------------------
Creator: Walid Khalil (November 2009, Technical Analysis of Stocks & Commodities)
History: Khalil designed the VZO to address limitations in other volume indicators
by focusing on the relative balance between buying and selling volume while filtering
out market noise. The indicator identifies accumulation and distribution patterns.
Traditional Usage: The classic VZO uses a 14-period calculation setting and is
interpreted on a scale from -60% to +60%:
- Readings above +40% indicate strong buying pressure (potential overbought)
- Readings below -40% indicate strong selling pressure (potential oversold)
- The zero line acts as a key reference for trend changes
- Divergences between VZO and price offer valuable trading signals
Difference from Other Volume Indicators: Unlike simple volume indicators that only
track total volume, the VZO tracks the relative difference between up-volume and
down-volume, more effectively identifying buying/selling pressure imbalances and
potential reversal points.
------------------------------------------------------------------------------------
2. SUPERSMOOTHER FILTER TECHNOLOGY
------------------------------------------------------------------------------------
Creator: John F. Ehlers, an engineer specializing in digital signal processing for
trading systems.
Origins: Introduced in "Rocket Science for Traders" (2001) and refined in "Cybernetic
Analysis for Stocks and Futures" (2004). Represents the application of digital signal
processing techniques to financial markets.
Technical Foundation: The SuperSmoother is a two-pole low-pass filter specifically
designed to eliminate noise while preserving the underlying signal. It combines
principles of Butterworth and Gaussian filters to minimize both phase shift and
passband ripple.
Mathematical Implementation:
a1 = exp(-π * sqrt(2) / period)
b1 = 2 * a1 * cos(sqrt(2) * π / period)
c2 = b1
c3 = -a1²
c1 = 1 - c2 - c3
Advantages Over Traditional Filters:
- Reduces lag compared to simple moving averages
- Eliminates high-frequency market noise more effectively
- Minimizes unwanted ripples in the output signal
- Preserves important turning points in the data
- Superior handling of sudden market movements
According to Ehlers: "Conventional moving averages are plagued by excessive lag and/or
rippling in their passband. The SuperSmoother eliminates virtually all of this ripple
and has excellent transient response characteristics." (TASC Magazine, 2014)
------------------------------------------------------------------------------------
3. SSVZO COMPONENTS
------------------------------------------------------------------------------------
3.1. MAIN SSVZO OSCILLATOR
------------------------------------------------------------------------------------
Description: The core component measuring buying vs. selling volume pressure using
the SuperSmoother filter for enhanced noise reduction.
Calculation: SSVZO analyzes the relationship between up-volume (volume on rising
prices) and down-volume (volume on falling prices), applying exponential moving
averages to both components, then calculating their relative strength. The
SuperSmoother filter reduces market noise while preserving the underlying trend signal.
Implementation Advantage: By applying the SuperSmoother filter to the VZO calculation,
the SSVZO provides significantly cleaner signals with fewer false crossovers and more
accurate identification of true trend changes.
Interpretation:
- Values above zero indicate bullish volume dominance
- Values below zero indicate bearish volume dominance
- Readings above +60 suggest overbought conditions
- Readings below -60 suggest oversold conditions
- Crossovers of the zero line signal potential trend changes
Trading Application: Use SSVZO as a primary volume-based momentum indicator to
confirm price trends, identify divergences, and spot potential reversal zones.
------------------------------------------------------------------------------------
3.2. MOMENTUM VELOCITY COMPONENT
------------------------------------------------------------------------------------
Description: A histogram displaying the rate of change of momentum, showing how
quickly buying or selling pressure is accelerating or decelerating.
Calculation: Derived from price momentum over a user-defined period, with optional
adaptive filtering that adjusts sensitivity based on market volatility. The velocity
component shows the first derivative of momentum – essentially the "acceleration" of
market movement.
Technical Origin: Inspired by Ehlers' work on Hilbert Transforms and research on
cyclic components in financial markets, as detailed in "Cycle Analytics for Traders"
(2013).
Interpretation:
- Positive readings (teal bars) indicate accelerating upward momentum
- Negative readings (orange bars) suggest accelerating downward momentum
- Larger bars indicate stronger momentum acceleration
- Shrinking bars signal momentum deceleration
Trading Application: Use as an early warning system for potential trend exhaustion
or confirmation of a new trending move. When momentum velocity diverges from price,
it often precedes a reversal.
------------------------------------------------------------------------------------
3.3. ADAPTIVE LEVELS
------------------------------------------------------------------------------------
Description: Dynamic overbought and oversold boundaries that adjust to market
conditions, providing context-aware trading signals.
Calculation: Uses statistical methods based on the standard deviation of the SSVZO
values over a longer period. These levels automatically widen during higher volatility
periods and narrow during consolidation.
Research Base: Draws from Perry Kaufman's work on Adaptive Moving Averages (AMA) and
Bollinger's research on dynamic volatility bands, as published in "Trading Systems
and Methods" (2013).
Interpretation:
- Adaptive Overbought (dotted circles above): Dynamic ceiling that expands/contracts
based on market volatility
- Adaptive Oversold (dotted circles below): Dynamic floor that expands/contracts based
on market volatility
Trading Application: More reliable for identifying extremes than static levels,
particularly in changing market conditions or different instruments. Touching these
levels often provides higher-probability reversal signals.
------------------------------------------------------------------------------------
3.4. STATIC LEVELS
------------------------------------------------------------------------------------
Description: Fixed overbought and oversold horizontal lines that provide consistent
reference points for excess market conditions.
Calculation: Preset at +60 (overbought) and -60 (oversold) based on historical
analysis of volume behavior across multiple markets, extending the classic VZO range.
Interpretation:
- Readings above +60 suggest potential buying exhaustion
- Readings below -60 indicate potential selling exhaustion
- Duration spent beyond these levels correlates with reversal probability
Trading Application: Use as baseline reference points for extreme conditions. Most
effective when combined with other confirmation signals like divergences or
candlestick patterns.
------------------------------------------------------------------------------------
3.5. TREND SHIFT DETECTION
------------------------------------------------------------------------------------
Description: Visual markers and optional background shading highlighting potential
trend changes when the SSVZO crosses the zero line.
Calculation: Based on mathematical crossovers of the SSVZO value above or below the
zero line, with pattern recognition to reduce false signals.
Research Foundation: Incorporates concepts from Dr. Alexander Elder's "triple screen
trading system" and Mark Chaikin's volume-based trend identification research.
Interpretation:
- Upward triangles indicate bullish trend shifts (SSVZO crossing above zero)
- Downward triangles indicate bearish trend shifts (SSVZO crossing below zero)
- Background shading emphasizes the new trend direction
Trading Application: These signals often precede price trend changes and can serve
as entry triggers when aligned with the higher timeframe trend.
------------------------------------------------------------------------------------
3.6. GLOW EFFECT VISUALIZATION
------------------------------------------------------------------------------------
Description: An aesthetic enhancement creating a gradient "glow" around the main SSVZO
line, improving visual clarity and emphasizing signal strength.
Calculation: Generated using percentage-based bands around the main SSVZO value, with
multiple translucent layers to create a subtle illumination effect.
Design Inspiration: Inspired by modern UI/UX design principles for financial
dashboards and the MATS (Moving Average Trend Sniper) indicator's visual presentation,
enhancing perception of signal strength through visual intensity.
Interpretation:
- Teal glow indicates positive SSVZO values (bullish)
- Orange glow indicates negative SSVZO values (bearish)
- Glow intensity correlates with the strength of the signal
Trading Application: Beyond aesthetics, the glow creates visual emphasis that makes
trend direction, strength, and changes more immediately apparent, particularly useful
during fast-moving market conditions.
------------------------------------------------------------------------------------
4. REFERENCES & FURTHER READING
------------------------------------------------------------------------------------
1. Ehlers, J. F. (2001). "Rocket Science for Traders: Digital Signal Processing
Applications." John Wiley & Sons.
2. Ehlers, J. F. (2004). "Cybernetic Analysis for Stocks and Futures: Cutting-Edge
DSP Technology to Improve Your Trading." John Wiley & Sons.
3. Ehlers, J. F. (2013). "Cycle Analytics for Traders: Advanced Technical Trading
Concepts." John Wiley & Sons.
4. Khalil, W. (2009). "The Volume Zone Oscillator." Technical Analysis of Stocks &
Commodities, November 2009.
5. Kaufman, P. J. (2013). "Trading Systems and Methods." 5th Edition, Wiley Trading.
6. Elder, A. (2002). "Come Into My Trading Room: A Complete Guide to Trading."
John Wiley & Sons.
7. Bollinger, J. (2002). "Bollinger on Bollinger Bands." McGraw-Hill Education.
------------------------------------------------------------------------------------
END OF DOCUMENTATION
------------------------------------------------------------------------------------
Cari dalam skrip untuk "imbalance"
RSI - SECUNDARIO - mauricioofsousaSecondary RSI – MGO
Reading the rhythm behind the price action
The Secondary RSI is a specialized oscillator developed as part of the MGO (Matriz Gráficos ON) methodology. It works as a refined strength filter, designed to complement traditional RSI readings by isolating the true internal rhythm of price action and reducing the influence of market noise.
While the standard RSI measures price momentum, the Secondary RSI focuses on identifying breaks in oscillatory balance—the moments when the market shifts from accumulation to distribution or from compression to expansion.
🎯 What the Secondary RSI highlights:
Internal imbalances in energy between buyers and sellers
Micro-divergences not visible on standard RSI
Areas of price fatigue or overextension that often precede reversals
Confirmation zones for MGO oscillatory events (RPA, RPB, RBA, RBB)
📊 Recommended use:
Combine with the Primary RSI for dual-layer validation
Use as a noise-reduction tool before entering trends
Ideal in medium timeframes (12H / 4H) where oscillatory patterns form clearly
🧠 How it works:
The Secondary RSI recalculates the momentum signal using a block-based interpretation (aligned with the MGO structure) instead of simply following raw candle data. It adapts to the periodic nature of price behavior and provides the trader with a more stable and reliable measure of true market strength.
UT Bot + Cooldown + Visual FVGSynopsis – UT Bot + Cooldown + Visual FVG
This TradingView script combines:
✅ UT Bot Reversal Signals
Based on ATR and volatility logic
BUY when trend flips from bearish to bullish
SELL when trend flips from bullish to bearish
✅ Cooldown Filter
Limits signals to 1 per X bars (default 30)
Prevents overtrading during choppy price action
✅ Optional FVG Markers (Fair Value Gaps)
Visually shows bullish or bearish imbalances (3-bar gaps)
Does not affect signal generation — only for confluence
🔍 Ideal for traders who want clean, time-filtered signals with visual price-action context. Suitable for futures, crypto, or forex on intraday charts.
ICT-Elliott Hybrid Oscillator네이버 프리미엄 콘텐츠 > 재테크 사관학교 검색
This indicator uses Elliott Wave Theory and ICT (Inner Circle Trader) concepts to help easily and accurately predict when asset prices like cryptocurrencies or stocks will rise or fall.
📌 Easy Explanation of Terms
✅ What is Elliott Wave?
A theory stating that price movements follow a specific pattern (5 upward waves + 3 downward waves) repeatedly. Simply put, it's about repetitive cycles of rises and falls creating overall trends.
✅ What is ICT Theory?
A strategy that identifies optimal trading times by observing critical price areas traded by institutional investors (Order Blocks), imbalances in price (Fair Value Gaps - FVG), and major turning points (Break of Structure - BOS).
📈 Signals Provided by the Indicator
🔹 ① Pivot Highs & Lows
Red ▼: Short-term high (increased likelihood of price falling)
Green ▲: Short-term low (increased likelihood of price rising)
🔹 ② Fair Value Gap (FVG)
Green highlighted area: Zone where price is likely to rise again
Red highlighted area: Zone where price is likely to fall again
🔹 ③ Break of Structure (BOS)
Blue "BOS Up": Indicates a shift to an upward trend
Orange "BOS Down": Indicates a shift to a downward trend
⏳ Recommended Timeframe Combinations
| Major Trend (Basic Analysis) | Entry Point (Detailed Analysis) | Short-term Timing (Precision Analysis) |
| ---------------------------- | ------------------------------- | -------------------------------------- |
| 4-hour | 1-hour | 15-minute |
Use the 4-hour timeframe to gauge overall trends,
the 1-hour timeframe to pinpoint exact entry and exit points,
and the 15-minute timeframe for precise timing.
Include Source
🕯 Recommended Candle Patterns
* Pin Bar (Long wick candle) → Trend reversal signal
* Engulfing Candle (fully covering previous candle) → Strong trend reversal signal
* Hammer & Shooting Star (small body with a long wick) → Bullish or bearish reversal signal
* Doji (balance between buyers and sellers) → High potential for trend reversal
Bull vs Bear Volume (Enhanced)Bull vs Bear Volume (Enhanced) is a custom volume histogram that separates and visualizes estimated buying vs. selling volume within each candle. This allows traders to better understand market sentiment and detect imbalances in demand and supply.
🔍 What It Does:
Plots bullish volume (green) above the x-axis and bearish volume (red) below.
Estimates bull/bear volume by analyzing the close location within the candle's range.
Highlights volume spikes with lime (bullish) or maroon (bearish) when volume exceeds a user-defined threshold.
Includes an optional total volume line for added context.
Supports smoothing via simple moving average (SMA) to reduce noise.
🛠️ Inputs:
Toggle smoothing and set its length.
Enable/disable threshold spike highlighting.
Show/hide the total volume overlay.
Adjust the threshold multiplier for spike detection.
⚠️ Important:
This script uses a proxy method based on candle structure to estimate volume split — it does not use real-time order flow or trade direction data.
Works best on liquid assets with consistent volume.
Suvorov Pro SFP+Indicator: Logic-based Swing Failure Pattern (SFP)
What is the logic of my indicator based on and what makes it unique:
1. The indicator can calculate extreme candles that close with huge shadows and a small body and it works on any timeframe.
2. The indicator analyzes the volumes on which the desired bar was closed. This function is customizable. That is, you can build a search for signals according to your trading strategy, based on the number of volumes. What does this mean - you select the number of previous bars where the indicator calculates the average value and based on these numbers, you can set up: how many times the desired candle should be larger than the previous average volume.
3. Since SFP is based on the removal of important liquidity, the search for such situations occurs from swing structures (swing high/low). When these parameters are found on the chart (on history), the indicator draws the situation and shows where important liquidity was removed and why the trading situation appeared right now.
4. The indicator gives recommendations on possible takes and stops.
The structure of takes has a built-in logic for searching for previous swings to remove liquidity, as well as searching for imbalances to cover them (50 and 100%).
5. For TP (Take Profit): there are 3 TPthat can be adjusted to your trading strategy (Risk/Profit). For example: you always trade from 2 to 1 on the 1st Take, 3 to 1 on the second, 5 to 1 on the third: you can set all this in the indicator and all your targets will be detected by the indicator, taking into account the logic of searching for important ranges. If, for example, in your 3 to 1 range there are no important zones for TP, then the indicator writes that NaN (not found).
6. The indicator works on any timeframe.
7. The indicator has a built-in RSI logic, which comes as an additional function to the indicator. If this function is enabled, then trading situations are detected only when there is a divergence (from the swing point to the extreme bar that has formed).
BooRSI📘 BooRSI – Multi-Dimensional RSI Framework with Advanced Visual Context
BooRSI is not just another RSI overlay. It is a multi-layered momentum framework that blends traditional RSI dynamics with a set of enhanced visual and structural components to help traders identify market imbalances, momentum shifts, and confluence zones across multiple timeframes. The indicator was designed to assist both discretionary and systematic traders in spotting RSI-based inflection points with greater clarity and context.
🔍 What Makes BooRSI Different?
Unlike standard RSI tools, BooRSI provides a modular visualization layer that lets you:
View RSI in both candle format and classic line mode, making intrabar momentum shifts visible.
Plot dynamic or static Fibonacci retracement levels directly on the RSI scale — useful for identifying confluence between RSI pullbacks and trend continuation zones.
Activate a weekly RSI vs weekly RSI MA crossover highlight, enabling long-term trend filters directly within the intraday or daily RSI window.
Apply subtle gradient band fills to the 30–50–70 zones to enhance zone memory without overwhelming the visual space.
Toggle a custom RSI Moving Average for smoother signal interpretation.
🧠 Underlying Logic & Structure
RSI Calculation: Classic RSI with adjustable OHLC input (default: close). When in “Candle Mode,” it uses RSI(Open), RSI(High), RSI(Low), RSI(Close) to form OHLC candles for intrabar detail.
RSI MA Filter: A secondary SMA (default: 14) smooths RSI values to assist in trend determination.
Fibonacci Mapping: Based on a fixed or dynamic length (default: 55), key Fib levels (38.2%, 50%, 61.8%, etc.) are plotted on the RSI window to map out overreaction or pullback zones.
Multi-Timeframe Context: The system calculates weekly RSI and its moving average, then uses background highlights to show whether the current trend aligns with the higher timeframe momentum direction.
⚙️ Default Settings
Parameter Default Description
RSI Length 14 Base RSI period
RSI MA Length 14 SMA on RSI for trend filtering
Fibonacci Lookback 55 Length for Fibo level projections
Show 30/50/70 Bands True Gradient fill zones for RSI decision zones
Show Fibonacci Levels False Optional – static/dynamic Fib lines on RSI
Candle Mode False Switch between RSI line and RSI OHLC candles
Fibo Style Toggle True Switch between solid, dashed or dotted lines
🎯 Best Use Cases
Momentum Filters: For trend-based strategies, use RSI-MA and HTF background for filter alignment.
Reversal Signals: Use RSI candles to spot strong rejection patterns inside extreme zones.
Mean-Reversion Timing: Combine Fibonacci levels with 30–70 bands to fine-tune entries.
⚠️ Important Note
This is a closed-source indicator due to proprietary RSI candle mapping logic and unique Fibonacci interaction methods. However, this description fully discloses how the tool works and how it adds value beyond a basic RSI implementation.
BooRSI – Çok Katmanlı RSI Çerçevesi
BooRSI, klasik RSI göstergesini birden fazla katmanda zenginleştirerek momentum değişimlerini, aşırı alım/aşırı satım bölgelerini ve farklı zaman dilimi trendlerini daha net görmenizi sağlar:
Çubuk ve Çizgi Modu: RSI’yı hem OHLC mumları hem de klasik çizgi olarak gösterebilir, böylece intrabar hareketleri de izlenebilir.
RSI MA Filtreleme: RSI üzerine uygulanan SMA (varsayılan 14) trend yönünü belirlemenize yardımcı olur.
Fibonacci Seviyeleri: RSI ölçeği üzerinde dinamik veya sabit Fibonacci retracement çizgileri (38.2%, 50%, 61.8% vb.) ekleyerek dönüş ve devam bölgelerini tespit eder.
Haftalık Konteks: Günlük veya daha kısa zaman diliminde, haftalık RSI ve haftalık RSI MA kesişimlerini arka plan rengiyle vurgular.
Gradient 30/50/70 Bantları: Karar bölgelerini boğucu olmayan degradelerle öne çıkarır.
Bu kapalı kaynak gösterge, RSI mum haritalama ve Fib etkileşimindeki özgün mantığı nedeniyle gizlidir; açıklama ise nasıl çalıştığını tam olarak ortaya koyar.
CRT Finder (WanHakimFX)📈 Liquidity Grab Indicator with MTF Confluence & Alerts
🔍 Overview:
The Liquidity Grab Indicator is designed to detect precise moments when price sweeps liquidity — either by wicking below recent lows (bullish LQH) or above recent highs (bearish LQL) — followed by a clear rejection. It combines this logic with multi-timeframe confirmation and trend filters, making it a powerful tool for identifying high-probability reversal setups.
⚙️ How It Works:
✅ Liquidity Sweep Logic (LQH / LQL)
Bullish (LQH):
Current candle wicks below the previous low
Closes above the previous candle body
Confirms potential bullish reversal
Bearish (LQL):
Current candle wicks above the previous high
Closes below the previous candle body
Confirms potential bearish reversal
✅ Additional Conditions:
Must occur during London or New York sessions.
Requires trend confluence:
LQH = Price must be above SMMA 60/100/200
LQL = Price must be below SMMA 60/100/200
🧠 Multi-Timeframe Confluence:
The indicator scans for LQH/LQL sweeps across:
Daily
4H
1H
30M
15M
If a sweep occurs on any of these timeframes, an alert is triggered and a triangle marker appears on the chart for real-time visual confluence.
📊 Visual Features:
Green/Red labels for active timeframe sweeps.
Dotted wick lines to show liquidity zones from the previous candle.
Colored triangle markers for MTF sweep alerts.
🛠 Strategy Usage:
This indicator is best used as a trigger tool in a confluence-based strategy:
Use higher-timeframe MTF LQH/LQL markers for directional bias.
Wait for matching sweep on your entry timeframe (e.g., M1/M5).
Enter on confirmation candle or break of structure.
Target imbalances, FVGs, or previous highs/lows.
Risk-managed entries using sweep candle's high/low as stop.
📢 Alerts:
✅ Bullish Sweep (LQH) on any timeframe
✅ Bearish Sweep (LQL) on any timeframe
RunRox - Entry Model🎯 RunRox Entry Model is an all-in-one reversal-pattern indicator engineered to help traders accurately identify key price-reversal points on their charts. It will be part of our premium indicator package and improve the effectiveness of your trading strategies.
The primary concept of this indicator is liquidity analysis, making it ideal for Smart Money traders and for trading within market structure. At the same time, the indicator is universal and can be integrated into any strategy. Below, I will outline the full concept of the indicator and its settings so you can better understand how it works.
🧬 CONCEPT
In the screenshot below, I’ll schematically illustrate the core idea of this indicator. It’s one of the patterns that the indicator automatically detects on the chart using a two-timeframe approach. We use the higher timeframe to identify liquidity zones, and the lower timeframe to capture liquidity removal and structure breaks. The schematic is shown in the screenshot below.
Our indicator includes three entry models in total , and I will discuss its functionality and features in more detail later in this post.
💡 FEATURES
Three entry models
PO3 HTF Bar
Entry Area
Optimization for each Entry Area
Filters
HTF FVG
Alert customization
Next, we will examine each entry model in detail.
🟠 ENTRY MODEL 1
The first model is the core one we’ll work with; all other models rely on its structure and construction. In the screenshot below, I’ll schematically show the complete model.
As shown in the screenshot above, we display higher-timeframe candles on the current chart to better visualize the entry model and keep the trader informed of what’s happening on the larger timeframe. The screenshot also highlights both the Long and Short models, as well as the Entry Area, which I will explain in more detail below.
The schematic model on the lower timeframe is shown in the screenshot above. It illustrates that after the Entry Model forms, we draw the Entry Area on the next candle and wait for a price pullback into this zone for the optimal trade entry. Statistically, before moving higher, the price typically revisits the Entry Area, covering the imbalances created by MSS; thus, the Entry Area represents the ideal entry point.
🟩 Entry Area
Once the Entry Model has formed, we focus on identifying the optimal pullback zone for taking a position. To determine which retracement area performs best, we conducted extensive historical backtesting on potential zones and selected those that consistently delivered the strongest results. This process yields Entry Areas with the highest probability of a successful reversal.
On the screenshot above, you can see an example of the Entry Area and which zones carry a higher versus lower probability of reversal. Zones rendered with greater transparency have historically delivered weaker results than the more opaque zones. The deeper-colored areas represent the optimal entry zones and can improve your risk-reward ratio by allowing you to enter at more favorable prices.
It’s important to remember that the entire Entry Area functions as a potential zone for scaling into a position. However, if your risk-to-reward ratio isn’t favorable, you can wait for the price to retrace to lower levels within the Entry Area and enter with a more attractive risk-to-reward.
🟢 Pattern Rating
Each entry model receives a rating in the form of green circles next to its name 🟢. The rating ranges from one to four circles, based on the historical performance of similar patterns. To calculate this rating, we backtest past data by analyzing candle behavior during the model’s formation and assign circles according to how similar patterns performed historically.
Example Ratings:
🟢 – One circle
🟢🟢 – Two circles
🟢🟢🟢 – Three circles
🟢🟢🟢🟢 – Four circles
The more green circles a model has, the more reliable it is—but it’s crucial to rely on your own analysis when identifying strong reversal points on the chart. This rating reflects the model’s historical performance and does not guarantee future results, so keep that in mind!
Below is a screenshot showing four model variations with different ratings on the chart.
⚠️ Unconfirmed Pattern
Entry Model 1 is designed so that, until the higher-timeframe candle closes, the pattern remains unconfirmed and is hidden on the chart. For traders who prefer to see setups as they form, there’s a dedicated feature that displays the unconfirmed pattern at the moment of its appearance - triggered by the Market Structure Shift - before the HTF candle closes. The screenshot below shows what the pattern looks like prior to confirmation.
‼️IMPORTANT: Until the pattern is confirmed and the higher-timeframe candle has closed, the model may disappear from the chart if price reverses and the HTF candle closes below the previous bar. Therefore, this mode is suitable only for experienced traders who want to see market moves in advance. Remember that the pattern can be removed from the chart, so we recommend waiting for the HTF candle to close before deciding to enter a trade.‼️
✂️ Filters
For the primary model, there are four filters designed to enhance entry points or exclude less-confirmed patterns. The filters available in the indicator are:
Bounce Filter
Market Shift Mode
Same Wave Filter
Only with Divergence
I will explain how each of these filters works below.
- Bounce Filter
The Bounce Filter identifies significant deviations of price from its mean and only displays the Entry Model once the asset’s price moves beyond the average level. The screenshot below illustrates how this appears on the chart.
The actual average-price calculation is more sophisticated than what’s shown in the screenshot, that image is just an illustrative example. When the price deviates significantly from the N-bar average, we start looking for the Entry Model. This approach works particularly well in range-bound markets without a clear trend, as it lets you trade strong deviations from the mean.
- Market Shift Mode
This filter works by detecting the initial impulse that triggered the liquidity sweep on the previous higher-timeframe candle, and then holding the Market Structure Shift level at that point after the sweep. If the filter is turned off, price may move higher following the liquidity removal, creating a new MSS level and potentially producing a false structure shift and entry signal on the formed model.
This filter helps you more accurately identify genuine shifts - but keep in mind that the model can still perform well without it, so choose the setting that best suits your trading style.
- Same Wave Filter
The Same Wave Filter removes entry models that form without a clear lower-timeframe structure when liquidity is swept from the previous higher-timeframe candle. In other words, if the prior HTF candle and the current one belong to the same impulse wave - without any retracements on the LTF - the model is filtered out.
Keep in mind that this filter may also exclude patterns that could have produced positive results, so whether to enable it depends on your trading system.
- Only with Divergence
The Only with Divergence filter detects divergence between the lows of successive candles and indicators like RSI. When the low that swept liquidity diverges from the previous candle’s low, the indicator displays a “DIV” label. Although RSI is cited as an example, our divergence calculation is more advanced. This filter highlights patterns where low divergence signals genuine liquidity manipulation and a likely aggressive price reversal.
🌀 Model Settings
Trade Direction: Choose whether to display models for Long or Short trades.
Fractal: Select between automatic fractal detection—which adapts the lower-timeframe (LTF) and higher-timeframe (HTF) candles—or Custom.
Custom Fractal: When Custom is selected, manually specify the LTF and HTF timeframes used to detect the patterns.
History Pattern Limit: Set the maximum number of patterns to display on the chart to keep it clean and uncluttered.
🎨 Model Style
You can flexibly customize the model’s appearance by choosing your preferred line thickness, color, and the other settings we discussed above.
🔵 ENTRY MODEL 2
This model appears under specific conditions when Model 1 cannot form. It’s a price-reversal model constructed according to different rules than the first model. The screenshot below shows how it looks on the chart.
This model forms less frequently than Model 1 but delivers equally strong performance and is displayed as a position-entry zone.
Like the Entry Area in Entry Model 1, this zone is calculated automatically and highlights the best entry levels: areas that showed the strongest historical results are rendered in a brighter shade.
🎨 Model Style
You can flexibly customize the style of Entry Model 2 - its color, opacity, visibility, and the average price of the previous candle.
🟢 ENTRY MODEL 3
Entry Model 3 is a continuation pattern that only forms after Entry Model 1 has completed and delivered the necessary price move to trigger Model 3.
Below is a schematic illustration of how Model 3 is intended to work.
🎨 Model Style
As with the previous models, you can flexibly customize the style of this zone.
⬆️ HTF CANDLES
One of the standout features of this indicator is the ability to plot higher-timeframe (HTF) candles directly on your lower-timeframe (LTF) chart, giving you clear visualization of the entry models and insight into what’s unfolding on the larger timeframe.
You can fully customize the HTF candles - select their style, the number of bars displayed, and tweak various settings to match your personal trading style.
HTF FVG
Fair Value Gaps (FVGs) can also be drawn on the HTF candles themselves, enabling you to spot key liquidity or interest zones at a glance, without switching between timeframes.
Additionally, you can view all significant historical HTF highs and lows, with demarcation lines showing where each HTF candle begins and ends.
All these options let you tailor the HTF candle display on your chart and monitor multiple timeframes’ trends in a single view.
📶 INFO PANEL
Instrument: the market symbol on which the model is detected
Fractal Timeframes: the LTF and HTF fractal periods used to locate the pattern
HTF Candle Countdown: the time remaining until the higher-timeframe candle closes
Trade Direction: the direction (Long or Short) in which the model is searched for entry
🔔 ALERT CUSTOMIZATION
And, of course, you can configure any alerts you need. There are seven alert types available:
Confirmed Entry Model 1
Unconfirmed Entry Model 1
Confirmed Entry Model 2
Confirmed Entry Model 3
Entry Area 1 Trigger
Entry Area 2 Trigger
Entry Area 3 Trigger
You also get a custom macro field where you can enter any placeholders to fully personalize your alerts. Below are example macros you can use in that field.
{{event}} - Event name ('New M1')
{{direction}} - Trade direction ('Long', 'Short')
{{area_beg}} - Entry Area Price
{{area_end}} - Entry Area Price
{{exchange}} - Exchange ('Binance')
{{ticker}} - Ticker ('BTCUSD')
{{interval}} - Timeframe ('1s', '1', 'D')
{{htf}} - High timeframe ('15', '60', 'D')
{{open}}-{{close}}-{{high}}-{{low}} - Candle price values
{{htf_open}}-{{htf_close}}-{{htf_high}}-{{htf_low}} - Last confirmed HTF candle's price
{{volume}} - Candle volume
{{time}} - Candle open time in UTC timezone
{{timenow}} - Signal time in UTC timezone
{{syminfo.currency}} - 'USD' for BTCUSD pair
{{syminfo.basecurrency}} - 'BTC' for BTCUSD pair
✅ USAGE EXAMPLES
Now I’ll demonstrate several ways to apply this indicator across different trading strategies.
Primarily, it’s most effective within the Smart Money framework - where liquidity and manipulation are the core focus - so it integrates seamlessly into your SMC-based approach.
However, it can also be employed in other strategies, such as classic technical analysis or Elliott Wave, to capitalize on reversal points on the chart.
Example 1
The first example illustrates forming a downtrend using a Smart Money strategy. After the market structure shifts and the first BOS is broken, we begin looking for a short entry.
Once Entry Model 1 is established, a Fair Value Gap appears, which we use as our position-entry zone. The nearest target becomes the newly formed BOS level.
In this trade, it was crucial to wait for a strong downtrend to develop before hunting for entries. Therefore, we waited for the first BOS to break and entered the trade to ride the continuation of the downtrend down to the next BOS level.
Example 2
The next example illustrates a downtrend developing with a Fair Value Gap on the 1-hour timeframe. The FVG is also displayed directly on the HTF candles in the chart.
The pattern forms within the HTF Fair Value Gap, indicating that we can balance this inefficiency and ride the continuation of the downtrend.
The target can simply be a 1:2 or 1:3 risk–reward ratio, as in our case.
📌 CONCLUSION
These two examples illustrate how this indicator can be used to identify reversals or trend continuations. In truth, there are countless ways to incorporate this tool, and each trader can adapt the model to fit their own strategy.
Always remember to rely on your own analysis and only enter trades when you feel confident in them.
Nyx-AI Market Intelligence DashboardNyx AI Market Intelligence Dashboard is a non-signal-based environmental analysis tool that provides real-time insight into short-term market behavior. It is designed to help traders understand the quality of current price action, volume dynamics, volatility conditions, and structural behavior. It informs the trader whether the current market environment is supportive or hostile to trading and whether any active signal (from other tools) should be trusted, filtered, or avoided altogether.
Nyx is composed of seven intelligent modules. Each module operates independently but is visually unified through a floating dashboard panel on the chart. This panel renders live diagnostics every few bars, maintaining a low visual footprint without drawing overlays or modifying price.
Market Posture Engine
This module reads individual candlesticks using real-time candle anatomy to interpret directional bias and sentiment. It examines body-to-range ratio, wick imbalances, and compares them to prior bars. If the current candle is a large momentum body with minimal wick, it is interpreted as a directional thrust. If it is a small body with equal wicks, it is considered indecision. Engulfing patterns are used to detect potential liquidity tests. The system outputs a plain-text posture signal such as Building Bullish Intent, Bearish Momentum, Indecision Zone, Testing Liquidity (Up or Down), or Neutral.
Flow Reversal Engine
This module monitors short-term structural shifts and volume contraction to detect early signs of reversal or exhaustion. It looks for lower highs or higher lows paired with weakening volume and closing behavior that implies loss of momentum. It also monitors divergence between price and volume, as well as bar-to-bar momentum stalls (where highs and lows stop expanding). When these conditions are met, it outputs one of several states including Top Forming, Bottom Forming, Flow Divergence, Momentum Stall, or Neutral. This is useful for detecting inflection points before they manifest on trend indicators.
Fractal Context Engine
This engine compares the current bar’s range to its surrounding structural context. It uses a dynamic lookback length based on volatility. It determines whether the market is in expansion (strong directional trend), compression (shrinking range), or a transitional phase. A special case called Flip In Progress is triggered when the current high and low exceed the entire recent range, which often precedes sharp reversals or volatility expansion. The result is one of the following: Trend Expansion, Trend Breakdown, Sideways or Coil, Flip In Progress, or Expansion to Coil.
Candle Behavior Analyzer
This module analyzes the last five candles as a set to detect behavioral traits that a single candle may not reveal. It calculates average body and wick size, and counts how many recent candles show thrust (large body dominance), trap behavior (price returns inside wicks), or weakness (small bodies with high wick ratios). The module outputs one of the following behaviors: Aggressive Buying, Aggressive Selling, Trap Pattern, Trap During Coil, Low Participation, Low Energy, or Fakeout Candle. This helps the trader assess sentiment quality and the reliability of price movement.
Volatility Forecast and Compression Memory
This module predicts whether a breakout is likely based on recent compression behavior. It tracks how many of the last 10 bars had significantly reduced range compared to average. If a certain threshold is met without any recent large expansion bar, the system forecasts that a volatility expansion is likely in the near future. It also records how many bars ago the last high volatility impulse occurred and classifies whether current conditions are compressing. The outputs are Expansion Likely, Active Compression, and Last Burst memory, which provide breakout timing and energy insights.
Entry Filter
This module scores the current bar based on four adaptive criteria: body size relative to range, volume strength relative to average, current volatility versus historical volatility, and price position relative to a 20-period moving average. Each factor is scored as either 1 or 2. The total score is adjusted by a behavioral modifier that adds or subtracts a point if recent candles show aggression or trap behavior. Final scores range from 4 to 8 and are classified into Optimal, Mixed, or Avoid categories. This module is not a trade signal. It is a confluence filter that evaluates whether conditions are favorable for entry. It is particularly effective when layered with other indicators to improve precision.
Liquidity Intent Engine
This engine checks for price behavior around recent swing highs and lows. It uses adaptive pivots based on volatility to determine if price has swept above a recent high or below a recent low. This behavior is often associated with institutional liquidity hunts. If a sweep is detected and price has moved away from the sweep level, the engine infers directional intent and compares current distance to the high and low to determine which liquidity pool is more dominant. The output is Magnet Above, Magnet Below, or Conflict Zone. This is useful for anticipating directional bias driven by smart money activity.
Sticky Memory Tracking
To avoid flickering between states on low volatility or noisy price action, Nyx includes a sticky memory system. Each module’s output is preserved until a meaningful change is detected. For example, if Market Posture is Neutral and remains so for several bars, the previous non-neutral value is retained. This makes the dashboard more stable and easier to interpret without misleading noise.
Dashboard Rendering
All module outputs are displayed in a clean two-column panel anchored to any corner of the chart. Text values are color-coded, tooltips are added for context, and the data refreshes every few bars to maintain speed. The dashboard avoids clutter and blends seamlessly with other chart tools.
This tool is intended for informational and educational purposes only. It does not provide financial advice or trading signals. Nyx analyzes price, volume, structure, and volatility to offer context about the current market environment. It is not designed to predict future price movements or guarantee profitable outcomes. Traders should always use independent judgment and risk management. Past performance of any analysis logic does not guarantee future results.
FVG [TakingProphets]🧠 Purpose
This indicator is built for traders applying Inner Circle Trader (ICT) methodology. It detects and manages Fair Value Gaps (FVGs) — price imbalances that often act as future reaction zones. It also highlights New Day Opening Gaps (NDOGs) and New Week Opening Gaps (NWOGs) that frequently play a role in early-session price behavior.
📚 What is a Fair Value Gap?
A Fair Value Gap forms when price moves rapidly, skipping over a portion of the chart between three candles — typically between the high of the first candle and the low of the third. These zones are considered inefficient, meaning institutions may return to them later to:
-Rebalance unfilled orders
-Enter or scale into positions
-Engineer liquidity with minimal slippage
In ICT methodology, FVGs are seen as both entry zones and targets, depending on market structure and context.
⚙️ How It Works
-This script automatically identifies and manages valid FVGs using the following logic:
-Bullish FVGs: When the low of the current candle is above the high from two candles ago
-Bearish FVGs: When the high of the current candle is below the body of two candles ago
-Minimum Gap Filter: Gaps must be larger than 0.05% of price
-Combine Consecutive Gaps (optional): Merges adjacent gaps of the same type
-Consequent Encroachment Line (optional): Plots the midpoint of each gap
-NDOG/NWOG Tracking: Labels gaps created during the 5–6 PM session transition
-Automatic Invalidation: Gaps are removed once price closes beyond their boundary
🎯 Practical Use
-Use unmitigated FVGs as potential entry points or targets
-Monitor NDOG and NWOG for context around daily or weekly opens
-Apply the midpoint (encroachment) line for precise execution decisions
-Let the script handle cleanup — only active, relevant zones remain visible
🎨 Customization
-Control colors for bullish, bearish, and opening gaps
-Toggle FVG borders and midpoint lines
-Enable or disable combining of consecutive gaps
-Fully automated zone management, no manual intervention required
✅ Summary
This tool offers a clear, rules-based approach to identifying price inefficiencies rooted in ICT methodology. Whether used for intraday or swing trading, it helps traders stay focused on valid, active Fair Value Gaps while filtering out noise and maintaining chart clarity.
First Presented Fair Value Gap [TakingProphets]🧠 Indicator Purpose:
The "First Presented Fair Value Gap" (FPFVG) by Taking Prophets is a precision tool designed for traders utilizing Inner Circle Trader (ICT) concepts. It automatically detects and highlights the first valid Fair Value Gap (FVG) that forms between 9:30 AM and 10:00 AM New York time — one of the most critical windows in ICT-based trading frameworks.
It also plots the Opening Range Equilibrium (the average of the previous day's 4:14 PM close and today's 9:30 AM open) — a key ICT reference point for premium/discount analysis.
🌟 What Makes This Indicator Unique:
This script is highly specialized for early session trading and offers:
Automatic Detection: Finds the first Fair Value Gap after the 9:30 AM NYSE open.
Clear Visualization: Highlights the FVG zone and labels it with optional time stamps.
Equilibrium Line: Plots the Opening Range Equilibrium for instant premium/discount context.
Time-Sensitive Logic: Limits detection to the most volatile early session (9:30 AM - 10:00 AM).
Extension Options: You can extend both the FVG box and Equilibrium line out to 3:45 PM (end of major session liquidity).
⚙️ How the Indicator Works (Detailed):
Pre-Market Setup:
Captures the previous day's 4:14 PM close.
Captures today's 9:30 AM open.
Calculates the Equilibrium (midpoint between the two).
After 9:30 AM (New York Time):
Monitors each 1-minute candle for the creation of a Fair Value Gap:
Bullish FVG: Low of the current candle is above the high two candles ago.
Bearish FVG: High of the current candle is below the low two candles ago.
The first valid gap is boxed and optionally labeled.
Post-Detection Management:
The FVG box and label extend forward in time until 3:45 PM (or the current time, based on settings).
If enabled, the Equilibrium line and label also extend to help with premium/discount analysis.
🎯 How to Use It:
Step 1: Wait for market open (9:30 AM New York time).
Step 2: Watch for the first presented FVG on the 1-minute chart.
Step 3: Use the FPFVG zone to guide entries (retracements, rejections, or breaks).
Step 4: Use the Opening Range Equilibrium to determine premium vs. discount conditions:
Price above Equilibrium = Premium market.
Price below Equilibrium = Discount market.
Best Application:
In combination with ICT Killzones, especially during the London or New York Open.
When framing intraday bias and identifying optimal trade locations based on liquidity theory.
🔎 Underlying Concepts:
Fair Value Gaps: Price imbalances where liquidity is likely inefficient and future rebalancing can occur.
Opening Range Equilibrium: Key ICT price anchor used to separate premium and discount conditions post-open.
Time-Gated Setup: Limits focus to early session price action, aligning with inner circle trader timing models.
🎨 Customization Options:
FVG color, label visibility, and label size.
Opening Range Equilibrium line visibility and label styling.
Extend lines and boxes to 3:45 PM automatically for full session tracking.
✅ Recommended for:
Traders applying Inner Circle Trader (ICT) models.
Intraday scalpers or day traders trading the New York session open.
Traders who want to frame early session bias and liquidity traps effectively.
Flow State Model [TakingProphets]🧠 Indicator Purpose:
The "Flow State Model" by Taking Prophets is a precision-built trading framework based on the Inner Circle Trader (ICT) methodology. This script implements and automates the Flow State Model, a highly effective multi-timeframe trading system created and popularized by ITS Johnny.
It is designed to help traders systematically align higher timeframe liquidity draws with lower timeframe confirmation patterns, offering a clear roadmap for catching institutional moves with high confidence.
🌟 What Makes This Indicator Unique:
This is not a simple liquidity indicator or a basic FVG plotter. The Flow State Model executes a full multi-step process:
Higher Timeframe PD Array Detection: Automatically identifies and displays Fair Value Gaps (FVGs) from Daily, Weekly, and Monthly timeframes.
Liquidity Sweep Monitoring: Tracks swing highs and lows to detect Buyside or Sellside Liquidity sweeps into the HTF PD Arrays.
CISD Detection: Waits for a Change in State of Delivery (CISD) by monitoring bullish or bearish displacement after a sweep.
Full Trade Checklist: Visual checklist ensures all critical conditions are met before signaling a completed Flow State setup.
Sensitivity Control: Adapt detection strictness (High, Medium, Low) based on market volatility.
⚙️ How the Indicator Works (Detailed):
Fair Value Gap Mapping:
The indicator constantly scans higher timeframes (4H, Daily, Weekly) for valid bullish or bearish Fair Value Gaps that are large enough (based on ATR multiples) and not weekend gaps.
These FVGs are displayed on the current timeframe with full extension logic and mitigation handling (clearing when invalidated).
Liquidity Sweep Detection:
Swing highs and lows are identified using pivot logic (3-bar pivots). When price sweeps beyond a recent liquidity point into an active FVG, it flags the potential for a Flow State setup.
Change in State of Delivery (CISD) Confirmation:
After a sweep, the script monitors price action for a sequence of bullish or bearish candles followed by displacement (break in delivery).
Only after displacement closes beyond the initiating sequence does a CISD level plot, confirming the market's new delivery state.
Execution Checklist:
An optional table tracks whether critical components are present:
Higher Timeframe PD Array.
Aligned Timeframe Bias.
Liquidity Sweep into FVG.
SMT Divergence (optional manual confirmation).
CISD Confirmation.
Dynamic Management:
Active gaps are extended automatically.
Cleared gaps and mitigated CISDs are deleted to keep charts clean.
Distance-to-FVG prioritization keeps only the nearest active setups visible.
🎯 How to Use It:
Step 1: Identify the bias by locating active higher timeframe FVGs.
Step 2: Wait for a Liquidity Sweep into a PD Array (active FVG).
Step 3: Watch for a CISD event (the Flow State confirmation).
Step 4: Once all conditions are checked off, execute trades based on retracements to CISD levels or continuation after displacement.
Best Timing:
During ICT Killzones: London Open, New York AM.
After daily or weekly liquidity events.
🔎 Underlying Concepts:
Liquidity Theory: Markets seek to engineer liquidity for real institutional entries.
Fair Value Gaps: Imbalances where price is expected to react or rebalance.
Change in State of Delivery (CISD): Confirmation that the market's delivery mechanism has shifted, validating bias continuation.
Flow State Principle: Seamlessly aligning higher timeframe liquidity draws with lower timeframe confirmation to maximize trade probability.
🎨 Customization Options:
Adjust sensitivity (High / Medium / Low) for volatile or calm conditions.
Customize FVG visibility, CISD display, labels, line colors, and sizing.
Set checklist visibility and manual tracking of SMT or aligned bias.
✅ Recommended for:
Traders studying Inner Circle Trader (ICT) models.
Intraday scalpers and swing traders seeking confluence-driven setups.
Traders looking for a structured, checklist-based execution process.
FVG Detector Modified# FVG Detector Modified
## Description
The FVG Detector Modified is an advanced technical analysis tool designed to identify Fair Value Gaps (FVGs) in the market with enhanced filtering capabilities. FVGs represent imbalances between buyers and sellers, indicating potential areas where price may return to "fill the gap" in the future.
This indicator not only identifies traditional bullish and bearish FVGs but also features a unique pattern recognition system that highlights significant FVGs by detecting consecutive occurrences within a customizable lookback period. The smart visualization system prevents visual clutter by avoiding duplicate markers in close proximity.
## Key Features
- **Bullish & Bearish FVG Detection**: Automatically identifies and displays both bullish (blue) and bearish (red) Fair Value Gaps
- **Customizable Appearance**: Adjust colors, transparency, and extension of FVGs to match your chart setup
- **Width Filtering**: Filter out insignificant FVGs using minimum width thresholds with multiple measurement methods (Points, Percentage, or ATR)
- **Smart Pattern Recognition**: Highlights significant FVGs when multiple gaps occur within a customizable lookback period
- **Anti-Clutter Technology**: Prevents visual overload by avoiding duplicate markers within a 5-candle window
- **Circle Size Options**: Choose from five different circle marker sizes (Tiny to Huge) to suit your chart setup
- **Multiple Alert Types**: Set alerts for basic FVG formations, pattern-based FVGs, and actual circle marker appearances
## Trading Applications
- Identify potential price reversal zones where market may return to "fill the gap"
- Recognize high-probability trading opportunities when multiple FVGs form in succession
- Use as confluence with other indicators for more precise entry and exit points
- Spot market structure shifts by monitoring the frequency and size of FVGs
## Settings
The indicator features comprehensive customization options:
- Toggle FVG visibility and appearance
- Set minimum width filters using various measurement methods
- Adjust lookback periods for pattern recognition
- Customize circle marker appearance and size
- Configure FVG extension for better visibility
*Note: This indicator is based on original work by LuxAlgo, modified with enhanced filtering capabilities to improve signal quality and reduce false positives.*
US30 Smart Money 5M/4H Strategy🧠 How It Works
✅ 1. 4H Trend Bias Detection
Uses the 4-hour chart (internally) to determine if the market is in an uptrend or downtrend.
Background turns green for bullish trend, red for bearish trend.
This helps filter trades — only take longs during uptrend, shorts during downtrend.
✅ 2. Liquidity Sweeps (Stop Hunts) on 5M
Highlights candles that break previous highs/lows and then reverse (typical of institutional stop raids).
Draws a shaded red box above sweep-high candles and green box under sweep-lows.
These indicate key reversal zones.
✅ 3. Order Block Zones
Detects bullish/bearish engulfing patterns after liquidity sweeps.
Draws a supply or demand zone box extending forward.
These zones show where institutions likely placed large orders.
✅ 4. FVG Midpoint from 30-Min Chart
Detects Fair Value Gaps (imbalances) on the 30-minute chart.
Plots a line at the midpoint of the gap (EQ level), which is often revisited for entries or rejections.
✅ 5. Buy/Sell Signals (Non-Repainting)
Buy = 4H uptrend + 5M liquidity sweep low + bullish engulfing candle.
Sell = 4H downtrend + 5M liquidity sweep high + bearish engulfing.
Prints green “BUY” or red “SELL” label on the chart — these do not repaint.
📈 How to Use It
Wait for trend bias — only take trades in the direction of the 4H trend.
Watch for liquidity sweep boxes — these hint a stop hunt just occurred.
Look for a signal label (BUY/SELL) — confirms entry criteria.
Use FVG EQ lines & Order Block zones as confluence or targets.
Take trades after NY open (9:30 AM EST) for best momentum.
London ORB + Session High/Low + FVGLondon ORB + Session High/Low + FVG
📘 Script Description: London ORB + Session High/Low + Fair Value Gap
This script is designed to assist intraday traders during the London session open by combining:
🕒 1. Opening Range Breakout (ORB)
Captures the high and low of the first 15-minute candle after the London open (08:00–08:15 GMT).
Draws lines and labels for the ORB High and Low levels.
Detects breakouts above or below the ORB and plots a triangle signal at the breakout bar.
🌐 2. Asian & US Session Levels
Automatically marks the highs and lows of the Asian (00:00–06:00 GMT) and US (13:30–20:00 GMT) sessions.
Useful for identifying prior session liquidity zones, key support/resistance levels, and potential reaction areas.
📉 3. Fair Value Gaps (FVG)
Highlights imbalances in price action between non-overlapping candles (also known as FVGs or inefficiencies).
Draws a shaded box between candles where gaps exist:
Green for bullish FVGs
Red for bearish FVGs
🔔 4. Alert Support
Optional alerts are built in for:
Long breakout (price breaks above ORB)
Short breakout (price breaks below ORB)
🎯 Use Case
Perfect for:
Day traders looking to capitalize on early volatility at the London open
Traders using liquidity-based strategies, retests, or gap-fills
Visualizing and aligning with prior session highs/lows for structure and context
ADX Divergence and Gap Monitor [theUltimator5]ADX Divergence and Gap Monitor is a custom technical analysis tool designed to visualize momentum imbalances and sudden shifts in trend participation using the ADX system. It combines traditional ADX, DI+ and DI− calculations with dynamic filtering and visual highlighting to help identify key moments of directional acceleration or weakening.
🔍 What It Does:
This indicator builds on the Average Directional Index (ADX) system to detect conditions where market trend strength diverges significantly from directional input (DI) activity. It includes two major visual signals:
Highlight Backgrounds
These appear when the indicator detects a “gap” or sudden acceleration in DI values while ADX remains low, suggesting early-stage momentum bursts or signal noise spikes.
The trigger threshold for DI change can be adjusted using the Gap Trigger Level input.
A background highlight is shown when DI+ or DI− increases sharply, either from a low-ADX environment or from a rapid standalone spike.
GAP Markers
Optional yellow label markers display the word "GAP" just below the lowest line (ADX, DI+, or DI−) whenever a gap condition is triggered. These provide a more noticeable visual cue without crowding the chart.
You can enable or disable the markers with the Show GAP Markers toggle.
🧠 Advanced Divergence Detection:
The script also scans for dominant ADX divergence events, where ADX is significantly higher than DI+ or DI−, indicating strong trend force with weak directional participation. When these conditions are met:
Red or green background fills appear depending on whether DI+ or DI− is being overpowered.
These conditions are based on customizable moving averages and DI strength relationships.
⚙️ Key Inputs:
ADX Length: Period for ADX calculation
DI Moving Average: Smoothing length for directional index signals
Gap Trigger Level: Minimum DI change needed to trigger a GAP highlight
Show Highlight Backgrounds: Toggle to display or hide background signals
Show GAP Markers: Toggle to show or hide text-based GAP labels
🧪 Use Cases:
Spot early breakouts or reversals when DI activity spikes while ADX is still low
Identify periods of trend exhaustion or false breakouts using divergence logic
Confirm trade entry points when ADX begins to rise after a GAP event
MissedPrice[KiomarsRakei]█ Overview:
The MissedPrice script identifies price zones based on significant Open Interest shifts (including gaps) aligned with price movements. When sudden market positioning changes occur, the script pinpoints target zones where price is believed to return. Each signal directs you toward these opportunity zones with supporting metrics like Notional Value, Volume Ratio, and Funding Rate timing to help qualify the signals.
█ Core Concept:
Markets frequently "miss" critical price levels during rapid movements. These missed zones occur when:
Orders are revoked during sudden price shifts
Exchanges fail to execute at intended prices
TP/SL orders miss exact execution points
Institutional orders create supply/demand imbalances
Market structure shifts bypass key levels
Liquidity voids form from positioning changes
These missed price zones create natural targets that price tends to revisit. The MissedPrice indicator identifies these zones by analyzing the relationship between Open Interest, Price, and Volume.
█ Closer look at target zones:
Target zones are calculated using the open price where significant OI shifts occur, with zone width adjusted based on the High-Low ratio and ATR to adapt to current volatility. If a zone is touched once after a signal is generated, it is no longer valid. This can be understood as the missing positions and volume having now entered the market.
Each zone's Notional Value (NV) - calculated as OI change multiplied by price - measures the financial impact of the positioning shift. Higher NV indicates more significant market activity and greater liquidity, making price more likely to return to that area. Users can adjust NV ratio thresholds in the inputs to filter signal quality.
█ Features:
Statistical Dashboard: Real-time statistics table showing performance metrics for signals
Funding Rate Visualization: Vertical lines indicate funding rate times to help correlate signals with these significant market events
Alert Capability: Set up alerts for new signals to never miss a trading opportunity
Dynamic Entry Lines: Draws adjustable entry and target level lines to facilitate precise trade execution and measurement, customizable via inputs
█ Closer Look at Statistics Table:
Signal Count: Total numbers of signals generated and total candles included (limited by TradingView's OI historical data)
Win Rate: can be interpreted as the hit rate of target zones. Whenever price reaches the zone, it is calculated as a win, regardless of how far price may have moved in the opposite direction beforehand. This metric measures the script's accuracy in identifying price zones that eventually get revisited.
Total Profit: Calculates possible profit from first entry to target of hit signals - an estimate since humans can't take all signals and might have better entries or average down. By default is turned off can be turned on in the input menu.
Bad Signals: Signals taking too long to complete or moving much further from target
Bad but Hit: Bad signals that eventually hit the target despite early challenges
As you can see in the chart, there are zones that price does not return to touch. There is no guarantee that every identified zone will be reached, which is why the script provides additional qualification metrics to help assess signal probability.
Due to limitations of Open Interest data, you can only use this script on crypto pairs that have Open Interest data available on TradingView. While the script works on any timeframe, it performs best on timeframes less than daily.
█ Best Practices:
Use it in bar replay mode to master the strategy
Try different risk management systems based on how far price goes from the target and your creativity
Use the volume ratio and funding time data to further qualify signals
Notional Value plays a key role
Reversal Strength Meter – Adib NooraniThe Reversal Strength Meter is an oscillator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points.
🔹 Smooth, noise-reduced stochastic oscillator
🔹 Custom zones to highlight potential supply and demand imbalances
🔹 Non-repainting, compatible across all timeframes and assets
🔹 Visual-only tool — intended to support discretionary trading decisions
This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties.
📘 How to Use the Indicator Efficiently
For Reversal Trading:
Buy Setup
– When the blue line dips below the 20 level, wait for it to re-enter above 20.
– Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star).
– Enter above the pattern’s high, with a stop loss below its low.
Sell Setup
– When the blue line rises above the 80 level, wait for it to re-enter below 80.
– Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star).
– Enter below the pattern’s low, with a stop loss above its high.
🛡 Risk Management Guidelines
Risk only 0.5% of your capital per trade
Book 50% profits at a 1:1 risk-reward ratio
Trail the remaining 50% using price action or other supporting indicators
CoffeeShopCrypto High Timeframe Dynamic Order BlocksThis indicator automates the detection of significant order blocks in real time, from higher timeframes (Daily, Weekly, Monthly) and dynamically adapts their zone boundaries to your current chart timeframe regardless of what you change it to. By analyzing market structure across multiple time horizons, it identifies institutional-level supply/demand zones and precisely recalculates their parameters to match your active chart's resolution - whether you're viewing 1-minute or 4-hour candles or even higher.
Key Technical Features:
Multi-Timeframe Analysis: Scans daily/weekly/monthly data to identify the most significant order blocks that influence all lower timeframes
Adaptive Zone Calculation: Automatically recalculates zone boundaries when you change timeframes, maintaining accurate price levels and candle formations specific to your chart
Smart Price Action Filtering: Isolates only the relevant candles that formed each order block within your current timeframe's context
Structural Precision: Adjusts zone width and position based on the actual candle wicks/bodies that created the order block in your active timeframe.
What they look like when calculated instantly.
About Order Blocks (Market Structure Perspective):
Order blocks represent concentrated areas where institutional traders executed significant positions, creating imbalances in market structure.
These zones become:
Bullish Order Blocks: Demand areas where aggressive buying overwhelmed sellers, often appearing as consolidation before strong upward movements.
Bearish Order Blocks: Supply zones where distribution activity preceded substantial downward moves.
How It Works Differently:
The indicator identifies these critical areas by analyzing the relationship between consecutive candles' opens, highs, lows, and closes - particularly focusing on break-of-structure patterns that confirm zone validity.
Traditional order block indicators simply copy higher timeframe zones to lower charts. These common orderblocks are said be found as the candle before the candle that caused a huge market swing. In a break long, you would look backwards to find the first previous bearish candle. The opposite find would be for a break short.
This is a most unreliable method in finding orderblocks and simply is not true.
Zone Extensions. Choose how far into the future you want your zone to go to. There is no wrong number but you don't want to go too far.
This scripts performs true multi-timeframe analysis by:
Detecting the original order block formation conditions on HTFs
Drilling down to find the exact "candle sequence" that created the zone in your current timeframe.
Continuously monitoring for structural breaks that invalidate zones
Automatically adjusting all visual elements when you switch timeframes
Usage Benefits:
Eliminates manual timeframe switching to identify significant zones
Maintains visual consistency when changing chart resolutions
Provides cleaner charts by only showing relevant order blocks
Adapts to any market (Forex, Stocks, Crypto) and any timeframe combination
Breached Zones. The zone becomes invalidated but the Supply or Demand line is still relevant.
Note on Trading:
While this indicator precisely identifies order block locations, trading methodologies using these zones depend on individual strategy preferences. The tool focuses exclusively on accurate technical detection and adaptive visualization across timeframes.
How to Use Them:
As long as you don't have price action breach of a Bullish Zone Demand Floor you can keep using that zone as a bullish orderblock until its Demand Floor has been breached.
This also means you can still use its Demand Floor as a support level while the Zone itself is no longer relevant. This eliminates the orderblock ZONE as being an orderblock and now you only have a supply floor left to use as support.
As long as you don't have price action breach of a Bearish Zone Supply Wall you can keep using that zone as a bearish orderblock until its Supply Wall has been breached.
This also means you can still use its Supply Wall as a resistance level while the Zone itself is no longer relevant. This eliminates the orderblock ZONE as being an orderblock and now you only have a resistance level.
Once either has been breached, you would find liquidity behind the zone of the ordreblock. This is where price will seek support or resistance depending on the zone type.
Orderblocks has a BODY and who knew they could be so cute. I mean look at this structure.
This is how they are built and what their levels represent.
Retirement Portfolio Dashboard1. Set It Up
Paste the script into the Pine Script editor in TradingView
Add to chart (use a daily chart for any TSX ticker)
Configure the inputs on the right panel:
Choose your ETF tickers (default: VFV, XAW, XIC)
Enter your target allocations (U.S., Global, Canada, Cash)
Set your current portfolio value and contribution plan
Adjust your expected return and rebalance trigger
📊 2. What It Tracks
💼 Allocation Overview
Target vs. actual % for each asset class
CAD value of each component
Performance YTD based on Jan 2nd start
Drift % to see how far each asset has deviated
📈 Growth Forecast
Future value projection with contributions
Weighted return (based on typical historical returns)
Inflation-adjusted real return (assuming 2% inflation)
⚠ Rebalancing
If any drift exceeds your set threshold (e.g., 5%), the script:
Highlights the issue in red
Displays "⚠ Rebalance Suggested"
Triggers a TradingView alert if you've activated it
🔔 3. Set Up Alerts
Go to Alerts > Create Alert
Choose your script from the dropdown
Under Condition, select "Rebalance Alert"
Choose your desired alert type (popup, email, webhook, etc.)
✅ 4. How to Use It Effectively
Task What to Do
Monitor allocations Check dashboard weekly or monthly
Spot imbalances Use Drift % and Status (green/red)
Forecast retirement growth Adjust contributions, return rate, and horizon
Prepare to rebalance Use alerts when drift > threshold
Tune assumptions Change expected returns or inflation rate as needed
💡 Tips
You can edit return assumptions (e.g., make Global equity more conservative)
Use this on a “blank” ticker (like TSX:XIC) so you don't overlay the chart
Copy values from your broker or retirement account to update real allocations
[TehThomas] - ICT Inversion Fair value Gap (IFVG) The Inversion Fair Value Gap (IFVG) indicator is a powerful tool designed for traders who utilize ICT (Inner Circle Trader) strategies. It focuses on identifying and displaying Inversion Fair Value Gaps, which are critical zones that emerge when traditional Fair Value Gaps (FVGs) are invalidated by price action. These gaps represent key areas where price often reacts, making them essential for identifying potential reversals, trend continuations, and liquidity zones.
What Are Inversion Fair Value Gaps?
Inversion Fair Value Gaps occur when price revisits a traditional FVG and breaks through it, effectively flipping its role in the market. For example:
A bullish FVG that is invalidated becomes a bearish zone, often acting as resistance.
A bearish FVG that is invalidated transforms into a bullish zone, serving as support.
These gaps are significant because they often align with institutional trading activity. They highlight areas where large orders have been executed or where liquidity has been targeted. Understanding these gaps provides traders with a deeper insight into market structure and helps them anticipate future price movements with greater accuracy.
Why This Strategy Works
The IFVG concept is rooted in ICT principles, which emphasize liquidity dynamics, market inefficiencies, and institutional order flow. Traditional FVGs represent imbalances in price action caused by gaps between candles. When these gaps are invalidated, they become inversion zones that can act as magnets for price. These zones frequently serve as high-probability areas for price reversals or trend continuations.
This strategy works because it aligns with how institutional traders operate. Inversion gaps often mark areas of interest for "smart money," making them reliable indicators of potential market turning points. By focusing on these zones, traders can align their strategies with institutional behavior and improve their overall trading edge.
How the Indicator Works
This indicator simplifies the process of identifying and tracking IFVGs by automating their detection and visualization on the chart. It scans the chart in real-time to identify bullish and bearish FVGs that meet user-defined thresholds for inversion. Once identified, these gaps are dynamically displayed on the chart with distinct colors for bullish and bearish zones.
The indicator also tracks whether these gaps are mitigated or broken by price action. When an IFVG is broken, it extends the zone for a user-defined number of bars to visualize its potential role as a new support or resistance level. Additionally, alerts can be enabled to notify traders when new IFVGs form or when existing ones are broken, ensuring timely decision-making in fast-moving markets.
Key Features
Automatic Detection: The indicator automatically identifies bullish and bearish IFVGs based on user-defined thresholds.
Dynamic Visualization: It displays IFVGs directly on the chart with customizable colors for easy differentiation.
Real-Time Updates: The status of each IFVG is updated dynamically based on price action.
Zone Extensions: Broken IFVGs are extended to visualize their potential as support or resistance levels.
Alerts: Notifications can be set up to alert traders when key events occur, such as the formation or breaking of an IFVG.
These features make the tool highly efficient and reduce the need for manual analysis, allowing traders to focus on execution rather than tedious chart work.
Benefits of Using This Indicator
The IFVG indicator offers several advantages that make it an indispensable tool for ICT traders. By automating the detection of inversion gaps, it saves time and reduces errors in analysis. The clearly defined zones improve risk management by providing precise entry points, stop-loss levels, and profit targets based on market structure.
This tool is also highly versatile and adapts seamlessly across different timeframes. Whether you’re scalping lower timeframes or swing trading higher ones, it provides actionable insights tailored to your trading style. Furthermore, by aligning your strategy with institutional logic, you gain a significant edge in anticipating market movements.
Practical Applications
This indicator can be used across various trading styles:
Scalping: Identify quick reversal points on lower timeframes using real-time alerts.
Day Trading: Use inversion gaps as key levels for intraday support/resistance or trend continuation setups.
Swing Trading: Analyse higher timeframes to identify major inversion zones that could act as critical turning points in larger trends.
By integrating this tool into your trading routine, you can streamline your analysis process and focus on executing high-probability setups.
Conclusion
The Inversion Fair Value Gap (IFVG) indicator is more than just a technical analysis tool—it’s a strategic ally for traders looking to refine their edge in the markets. By automating the detection and tracking of inversion gaps based on ICT principles, it simplifies complex market analysis while maintaining accuracy and depth. Whether you’re new to ICT strategies or an experienced trader seeking greater precision, this indicator will elevate your trading game by aligning your approach with institutional behavior.
If you’re serious about improving your trading results while saving time and effort, this tool is an essential addition to your toolkit. It provides clarity in chaotic markets, enhances precision in trade execution, and ensures you never miss critical opportunities in your trading journey.
__________________________________________
Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈
Smart Stop-Loss (SSL)Smart Stop-Loss (SSL) Indicator
Overview
The Smart Stop-Loss (SSL) indicator is an advanced risk management tool designed to help traders set dynamic stop-loss levels based on market structure, volatility, and momentum. Unlike traditional fixed stop-loss methods, SSL adapts to changing market conditions, helping to avoid premature exits while protecting capital during true reversals.
Key Features
1. Volatility-Based Adjustments
- Uses Average True Range (ATR) to measure market volatility
- Automatically widens stop-loss during volatile periods and tightens during calm markets
- Customizable ATR multiplier (default: 1.5x) to adjust sensitivity
2. Market Structure Integration
- Identifies significant swing highs and lows to establish support/resistance levels
- Places stop-loss levels beyond these structural points to avoid common stop hunts
3. Fair Value Gap (FVG) Detection
- Identifies imbalances in order flow that often lead to strong directional moves
- Bullish FVG: A gap up where the current high is below previous low
- Bearish FVG: A gap down where the current low is above previous high
4. Smart Stop-Loss Tightening
- Automatically tightens stop-loss when FVGs are mitigated (filled)
- Uses RSI as a momentum filter to prevent premature adjustments
- Creates a trailing effect that locks in profits as trades move favorably
How to Use
For Long Positions:
1. **Entry**: Look for bullish FVG formations (green step line appears)
2. **Stop-Loss Placement**: Set your stop at or slightly below the green step line
3. **Stop Adjustment**: When price closes above the FVG zone and RSI > 50, the stop will automatically tighten
4. **Exit**: Exit the position when price closes below the green line or when your profit target is reached
For Short Positions:
1. **Entry**: Look for bearish FVG formations (red step line appears)
2. **Stop-Loss Placement**: Set your stop at or slightly above the red step line
3. **Stop Adjustment**: When price closes below the FVG zone and RSI < 50, the stop will automatically tighten
4. **Exit**: Exit the position when price closes above the red line or when your profit target is reached
Real-World Examples
Example 1: Trend Continuation
In an uptrend, when a bullish FVG appears, it often indicates institutional buying pressure. The SSL will place a stop below the swing low with an ATR buffer. As price continues upward and mitigates the FVG, the SSL tightens to protect profits while allowing the trend to continue.
Example 2: Avoiding Premature Exits
During normal market fluctuations, traditional fixed stops might get triggered too early. The SSL's adaptive nature accounts for volatility, keeping you in profitable trades longer by positioning stops beyond noise levels.
Example 3: Protecting Against Reversals
When a true reversal occurs, the momentum filter (RSI) will confirm the change in direction, allowing the SSL to maintain wider protection rather than prematurely tightening in a false move.
Tips for Best Results
1. **Timeframe Selection**: Works best on 1H, 4H and daily charts where market structure is more reliable
2. **Combine with Trend Analysis**: Use in conjunction with trend identification tools
3. **ATR Adjustment**: Increase the ATR multiplier for more volatile instruments
4. **Alert Setup**: Configure the built-in alerts to notify you when stop levels are breached
5. **Visual Confirmation**: The labels show exact stop values to help with order placement
Disclaimer
This indicator is provided for informational and educational purposes only. While it uses advanced techniques to determine potential stop-loss levels, no indicator can predict market movements with certainty. Always manage your risk appropriately and never risk more than you can afford to lose. Past performance is not indicative of future results. The developer of this indicator accepts no liability for trading losses incurred from its use. Always test thoroughly on demo accounts before using in live trading.