UDVR + OBV Combo — MTF (v6)The UDVR + OBV Combo is a multi-timeframe volume analysis tool that blends the Up/Down Volume Ratio with a normalized On-Balance Volume signal. It highlights when accumulation or distribution truly supports price action, adds higher-timeframe context, and shades the background when both indicators align. Use it to confirm breakouts, spot divergences, and filter trades with the backing of real volume flows.
1.Up/Down Volume Ratio (UDVR)
•Compares the rolling sum of up-volume (bars where price closed higher) vs down-volume (bars where price closed lower).
•A ratio > 1.0 = more accumulation (bullish pressure).
•A ratio < 1.0 = more distribution (bearish pressure).
•Optional histogram shows deviations from the 1.0 baseline.
•Customizable handling of equal closes (count as up, down, split, or ignore).
•Configurable lookback length and optional EMA smoothing.
2. On-Balance Volume (OBV)
•Classic cumulative OBV implemented natively (adds volume on up-bars, subtracts on down-bars).
•Normalized with a z-score so it can be compared across different symbols/timeframes.
•Includes an EMA signal line for slope detection.
•Alignment of OBV vs its EMA highlights rising or waning participation.
3. Multi-Timeframe Support
•Both UDVR and OBV can be plotted from a higher timeframe (HTF) (e.g. Daily UDVR shown on a 1h chart).
•Lets you see big-money accumulation/distribution while trading intraday.
•Shaded background when current TF and HTF agree (both bullish or both bearish).
How to read it
• Bullish confirmation = UDVR > 1 (accumulation) and OBV above EMA (rising participation).
• Bearish confirmation = UDVR < 1 (distribution) and OBV below EMA (falling participation).
• Mixed signals (e.g. UDVR > 1 but OBV falling) = caution; price may lack conviction.
• Divergences : If price makes a new high but OBV or UDVR does not, it’s a warning of weakening trend.
• Higher timeframe context : set HTF = Daily or Weekly and watch how short-term signals align with institutional flows. A long trade on the 15m chart is stronger when Daily UDVR is also above 1.
Inputs
•UDVR Lookback: number of bars for rolling volume sums.
•Smoothing EMA: smooths UDVR for stability.
•Equal Close Handling: decide how equal closes affect UDVR.
•Signal Band: optional UDVR extreme thresholds.
•Show Histogram: toggle UDVR histogram around baseline.
•Higher Timeframe UDVR: overlay Daily/Weekly UDVR on lower timeframe charts.
•OBV EMA length: slope proxy for normalized OBV.
•OBV Normalization window: controls z-score sensitivity.
•Higher Timeframe OBV: overlay higher timeframe OBV.
Alerts
•UDVR Bullish/Bearish cross at the 1.0 baseline.
•OBV slope up/down when OBV crosses its EMA.
•Alignment signals when UDVR and OBV agree (both confirm bullish or bearish conditions).
Why it’s useful
•Combines trend, momentum, and participation in one place.
•Helps avoid false breakouts by checking if volume supports the move.
•Lets you spot accumulation/distribution shifts before they show up in price.
•Gives a higher timeframe context so you’re not trading against the “big picture.”
Once applied, the indicator creates a dedicated pane below price with the following components:
UDVR Line (green/red)
• Green when UDVR > 1.0 (more up-volume than down-volume → accumulation).
• Red when UDVR < 1.0 (more down-volume → distribution).
UDVR Baseline and Bands
• Grey baseline at 1.0 = balance between buying and selling volume.
• Optional upper/lower bands (default 1.5 and 0.67) highlight extreme imbalances.
• Shaded areas between baseline and bands provide visual context for strength/weakness.
UDVR Histogram (optional)
• Columns around the baseline showing (UDVR – 1.0).
• Quick way to gauge how far above/below balance the ratio is.
Higher-Timeframe UDVR (teal line)
• Overlays the UDVR from a higher timeframe (e.g. Daily) on your intraday chart.
• Lets you see whether institutional flows support your shorter-term signals.
OBV Normalized (blue/orange line)
• Classic OBV, but normalized with a z-score so it stays readable across assets.
• Blue when OBV is above its EMA (rising participation).
• Orange when below its EMA (waning participation).
OBV EMA (grey line)
• Signal line showing the slope of OBV.
• Crosses between OBV and this line mark shifts in participation.
Higher-Timeframe OBV (purple line, optional)
• Plots OBV from a higher timeframe for additional context.
Background Shading
• Light green = both UDVR > 1 and OBV > OBV-EMA (bullish alignment).
• Light red = both UDVR < 1 and OBV < OBV-EMA (bearish alignment).
Search in scripts for "Up down"
EW Convergence HUD (Pane) — v2.2.5📖 Description
The EW Convergence Suite is a dual-component Elliott-Wave inspired tool designed to help traders spot multi-timeframe convergence points — the places where waves across different timeframes terminate together and trend changes often ignite.
It contains two parts:
🔹 HUD (Pane)
Lives in the lower pane, one horizontal row per timeframe (1m → 1M).
Colors represent phase classification:
Lime = Impulse Up (+2)
Red = Impulse Down (−2)
Teal = Corrective Up (+1)
Orange = Corrective Down (−1)
Gray = Neutral/Unclear
Rows shift slightly up/down depending on impulse vs. corrective, so you can see transitions as diagonal “jumps.”
HUD ticker (top-right) shows current convergence state:
Example: IMP▲ = impulse up alignment on 3 TFs.
Example: ★ COR▼ = 4 TF corrective down alignment (special event).
🔹 Overlay Labels (on price chart)
Prints labels directly on the chart when convergence events meet your thresholds.
Shows which phases and which TFs are aligned at that moment.
Optional pivot confirmation:
Early mode → labels fire as soon as TFs align (onlyOnPivot=false).
Confirmed mode → labels fire only when convergence + a fresh pivot confirmation occur (onlyOnPivot=true + pivot lines on).
Can also draw multi-TF pivot lines to visually connect swing highs/lows across your chosen timeframes.
⚙️ Inputs & Customization
Timeframe Toggles → select which TFs to include in the convergence counts.
EMA Trend Stack (9/21/55/233/987 by default) → defines trend alignment for impulse vs. corrective classification.
Pivot left/right → sensitivity of swing highs/lows (2/2 = fast, 5/5 = smoother, 10/10+ = major swings).
MinN / SpecialN → thresholds for convergence events (regular vs. ★ special highlight).
Label Controls →
Only on pivot confirmations
Only on confirmed bars
Only when content changes
Minimum bar gap between labels
Wave Line Controls → toggle pivot-connecting lines per TF, with adjustable opacity and max lines stored.
🎯 How to Use
Scan the HUD for clusters of rows with the same color/phase. Flat plateaus across multiple TFs = strong alignment.
Wait for convergence counts (MinN or SpecialN) to be reached. HUD ticker will show IMP▲ or COR▼ with the TF list.
Watch the Overlay Labels on the price chart for where that convergence “hits” — optionally tied to fresh pivot confirmations.
Best practice:
Use lower TFs (1m/5m/15m) as entry triggers.
Use higher TFs (1h/4h/1D) as bias anchors.
Look for termination zones where both HUD alignment and Overlay labels agree.
🔑 Why it works
This indicator combines objective pivot detection with EMA-based trend structure to classify legs as impulsive or corrective. By watching multiple TFs simultaneously, it highlights the rare and powerful moments where waves across scales converge. These are often the cleanest points for entry, exit, or scaling.
Impulse convergence → continuation or breakout potential.
Corrective convergence → likely end of a pullback and resumption of higher-TF trend.
Pivot-gated mode → confirmation that the move is not just alignment, but a structural turn.
✅ Notes
This script does not attempt to count Elliott Waves strictly (1-2-3-4-5, A-B-C). Instead it provides a framework for convergence and context, letting you apply your own EW interpretation on top.
Works best when combined with your own risk management rules (stops, partials, capital buffer).
Default EMAs (9/21/55/233/987) and pivot lookbacks (3/3) are optimized for intraday trading; adjust for your style (scalp, swing, position).
⚡ Bottom line:
The EW Convergence Suite is like having a multi-timeframe radar + price-level marker that alerts you when Elliott-style phases across several TFs line up. It cuts through noise and helps you focus on the moments of real structural confluence.
EW Convergence HUD (Pane) — v2.2.5📖 Description
The EW Convergence Suite is a dual-component Elliott-Wave inspired tool designed to help traders spot multi-timeframe convergence points — the places where waves across different timeframes terminate together and trend changes often ignite.
It contains two parts:
🔹 HUD (Pane)
Lives in the lower pane, one horizontal row per timeframe (1m → 1M).
Colors represent phase classification:
Lime = Impulse Up (+2)
Red = Impulse Down (−2)
Teal = Corrective Up (+1)
Orange = Corrective Down (−1)
Gray = Neutral/Unclear
Rows shift slightly up/down depending on impulse vs. corrective, so you can see transitions as diagonal “jumps.”
HUD ticker (top-right) shows current convergence state:
Example: IMP▲ = impulse up alignment on 3 TFs.
Example: ★ COR▼ = 4 TF corrective down alignment (special event).
🔹 Overlay Labels (on price chart)
Prints labels directly on the chart when convergence events meet your thresholds.
Shows which phases and which TFs are aligned at that moment.
Optional pivot confirmation:
Early mode → labels fire as soon as TFs align (onlyOnPivot=false).
Confirmed mode → labels fire only when convergence + a fresh pivot confirmation occur (onlyOnPivot=true + pivot lines on).
Can also draw multi-TF pivot lines to visually connect swing highs/lows across your chosen timeframes.
⚙️ Inputs & Customization
Timeframe Toggles → select which TFs to include in the convergence counts.
EMA Trend Stack (9/21/55/233/987 by default) → defines trend alignment for impulse vs. corrective classification.
Pivot left/right → sensitivity of swing highs/lows (2/2 = fast, 5/5 = smoother, 10/10+ = major swings).
MinN / SpecialN → thresholds for convergence events (regular vs. ★ special highlight).
Label Controls →
Only on pivot confirmations
Only on confirmed bars
Only when content changes
Minimum bar gap between labels
Wave Line Controls → toggle pivot-connecting lines per TF, with adjustable opacity and max lines stored.
🎯 How to Use
Scan the HUD for clusters of rows with the same color/phase. Flat plateaus across multiple TFs = strong alignment.
Wait for convergence counts (MinN or SpecialN) to be reached. HUD ticker will show IMP▲ or COR▼ with the TF list.
Watch the Overlay Labels on the price chart for where that convergence “hits” — optionally tied to fresh pivot confirmations.
Best practice:
Use lower TFs (1m/5m/15m) as entry triggers.
Use higher TFs (1h/4h/1D) as bias anchors.
Look for termination zones where both HUD alignment and Overlay labels agree.
🔑 Why it works
This indicator combines objective pivot detection with EMA-based trend structure to classify legs as impulsive or corrective. By watching multiple TFs simultaneously, it highlights the rare and powerful moments where waves across scales converge. These are often the cleanest points for entry, exit, or scaling.
Impulse convergence → continuation or breakout potential.
Corrective convergence → likely end of a pullback and resumption of higher-TF trend.
Pivot-gated mode → confirmation that the move is not just alignment, but a structural turn.
✅ Notes
This script does not attempt to count Elliott Waves strictly (1-2-3-4-5, A-B-C). Instead it provides a framework for convergence and context, letting you apply your own EW interpretation on top.
Works best when combined with your own risk management rules (stops, partials, capital buffer).
Default EMAs (9/21/55/233/987) and pivot lookbacks (3/3) are optimized for intraday trading; adjust for your style (scalp, swing, position).
⚡ Bottom line:
The EW Convergence Suite is like having a multi-timeframe radar + price-level marker that alerts you when Elliott-style phases across several TFs line up. It cuts through noise and helps you focus on the moments of real structural confluence.
FUMO MA Cross Matrix 9/21/50/100/200 FUMO MA Cross Matrix is a flexible and advanced indicator designed for traders who rely on moving average crossovers as part of their strategy.
🔹 Key Features:
Supports 5 types of Moving Averages: EMA, SMA, SMMA (RMA), WMA, HMA.
Includes 5 standard MAs: 9, 21, 50, 100, 200 (toggle on/off individually).
Choose which MA crosses to monitor (9×21, 21×50, 50×100, 100×200, and 6 extended combinations).
On-chart signals (labels) when crosses occur.
Alerts system for every selected cross and also summary alerts (“Any Cross Up/Down”).
Option to trigger signals only on confirmed bars (no repaint).
Fully adjustable label visibility and signal style.
🔹 Use Cases:
Detect trend shifts (short-term vs long-term).
Build scalping, swing, or position trading strategies.
Combine with price action or volume analysis for stronger setups.
Quickly react to Golden Cross and Death Cross events.
🔹 How to Use:
Select your preferred MA type (EMA, SMA, etc.).
Enable the MAs (9, 21, 50, 100, 200) you want to plot.
Choose which crossovers to track in the settings.
Enable/disable on-chart labels for better visualization.
Set up alerts:
“CROSS UP/DOWN X>Y” for specific pairs.
“ANY CROSS UP/DOWN” for aggregated signals.
📌 Example Alerts
MA Cross UP 9>21 on BTCUSDT 15m @ 65432
Any selected MA cross DOWN on AAPL 1D @ 195.2
RTH Levels: VWAP + PDH/PDL + ONH/ONL + IBAlgo Index — Levels Pro (ONH/ONL • PDH/PDL • VWAP±Bands • IB • Gaps)
Purpose. A session-aware, non-repainting levels tool for intraday decision-making. Designed for futures and indices, with clean visuals, alerts, and a one-click Minimal Mode for screenshot-ready charts.
What it plots
• PDH/PDL (RTH-only) – Prior Regular Trading Hours high/low, computed intraday and frozen at the RTH close (no 24h mix-ups, no repainting).
• ONH/ONL – Prior Overnight high/low, held throughout RTH.
• RTH VWAP with ±σ bands – Volume-weighted variance, reset each RTH.
• Initial Balance (IB) – First N minutes of RTH, plus 1.5× / 2.0× extensions after IB completes.
• Today’s RTH Open & Prior RTH Close – With gap detection and “gap filled” alert.
• Killzone shading – NY Open (09:30–10:30 ET) and Lunch (11:15–13:30 ET).
• Values panel (top-right) – Each level with live distance in points & ticks.
• Right-edge level tags – With anti-overlap (stagger + vertical jitter).
• Price-scale tags – Native trackprice markers that always “stick” to the axis.
⸻
New in v6.4
• Minimal Mode: one click for a clean look (thinner lines, VWAP bands/IB extensions hidden, on-chart right-edge labels off; price-scale tags remain).
• Theme presets: Dark Hi-Contrast / Light Minimal / Futures Classic / Muted Dark.
• Anti-overlap controls: horizontal staggering, vertical jitter, and baseline offset to keep tags readable even when levels cluster.
⸻
Quick start (2 minutes)
1. Add to chart → keep defaults.
2. Sessions (ET):
• RTH Session default: 09:30–16:00 (US equities cash hours).
• Overnight Session default: 18:00–09:29.
Adjust for your market if you use different “day” hours (e.g., many use 08:20–13:30 ET for COMEX Gold).
3. Theme & Minimal Mode: pick a Theme Preset; enable Minimal Mode for screenshots.
4. Visibility: toggle PD/ON/VWAP/IB/References/Panel to taste.
5. Right-edge labels: turn Show Right-Edge Labels on. If they crowd, tune:
• Anti-overlap: min separation (ticks)
• Horizontal offset per tag (bars)
• Vertical jitter per step (ticks)
• Right-edge baseline offset (bars)
6. Alerts: open Add alert → Condition: and pick the events you want.
⸻
How levels are computed (no repainting)
• PDH/PDL: Intraday H/L are accumulated only while in RTH and saved at RTH close for “yesterday’s” values.
• ONH/ONL: Accumulated across the defined Overnight window and then held during RTH.
• RTH VWAP & ±σ: Volume-weighted mean and standard deviation, reset at the RTH open.
• IB: First N minutes of RTH (default 60). Extensions (1.5×/2.0×) appear after IB completes.
• Gaps: Today’s RTH open vs prior RTH close; “Gap Filled” triggers when price trades back to prior close.
⸻
Practical playbooks (how to trade around the levels)
1) PDH/PDL interactions
• Rejection: Price taps PDH/PDL then closes back inside → mean-reversion toward VWAP/IB.
• Acceptance: Close/hold beyond PDH/PDL with momentum → continuation to next HTF/IB target.
• Alert: PD Touch/Break.
2) ONH/ONL “taken”
• Often one ON extreme is taken during RTH. ONH Taken / ONL Taken → check if it’s a clean break or sweep & reclaim.
• Sweep + reclaim near VWAP can fuel rotations through the ON range.
3) VWAP ±σ framework
• Balanced: First tag of ±1σ often reverts toward VWAP.
• Trend: Persistent trade beyond ±1σ + IB break → target ±2σ/±3σ.
• Alerts: VWAP Cross and VWAP Reject (cross then immediate fail back).
4) IB breaks
• After IB completes, a clean IB break commonly targets 1.5× and sometimes 2.0×.
• Quick return inside IB = possible fade back to the opposite IB edge/VWAP.
• Alerts: IB Break Up / Down.
5) Gaps
• Gap-and-go: Opening drive away from prior close + VWAP support → trend until IB completion.
• Gap-fill: Weak open and VWAP overhead/underfoot → trade toward prior close; manage on Gap Filled alert.
Pro tip: Stack confluences (e.g., ONL sweep + VWAP reclaim + IB hold) and respect your execution rules (e.g., require a 5-minute close in direction, or your order-flow confirmation).
⸻
Inputs you’ll actually touch
• Sessions (ET): Session Timezone, RTH Session, Overnight Session.
• Visibility: toggles for PD/ON/VWAP/IB/Ref/Panel.
• VWAP bands: set σ multipliers (±1/±2/±3).
• IB: duration (minutes) and extension multipliers (1.5× / 2.0×).
• Style & Theme: Theme Preset, Main Line Width, Trackprice, Minimal Mode, and anti-overlap controls.
⸻
Alerts included
• PD Touch/Break — High ≥ PDH or Low ≤ PDL
• ONH Taken / ONL Taken — First in-RTH take of ONH/ONL
• VWAP Cross — Close crosses VWAP
• VWAP Reject — Cross then immediate fail back
• IB Break Up / Down — Break of IB High/Low after IB completes
• Gap Filled — Price trades back to prior RTH close
Setup: Add alert → Condition: Algo Index — Levels Pro → choose event → message → Notify on app/email.
⸻
Panel guide
The top-right panel shows each level plus live distance from last price:
LevelValue (Δpoints | Δticks)
Coloring: green if level is below current price, red if above.
⸻
Styling & screenshot tips
• Use Theme Preset that matches your chart.
• For dark charts, “Dark Hi-Contrast” with Main Line Width = 3 works well.
• Enable Trackprice for crisp axis tags that always stick to the right edge.
• Turn on Minimal Mode for cleaner screenshots (no VWAP bands or IB extensions, on-chart tags off; price-scale tags remain).
• If tags crowd, increase min separation (ticks) to 30–60 and horizontal offset to 3–5; add vertical jitter (4–12 ticks) and/or push tags farther right with baseline offset (bars).
⸻
Behavior & limitations
• Levels are computed incrementally; tables refresh on the last bar for efficiency.
• Right-edge labels are placed at bar_index + offset and do not track extra right-margin scrolling (TradingView limitation). The price-scale tags (from trackprice) do track the axis.
• “RTH” is what you define in inputs. If your market uses different day hours, change the session strings so PDH/PDL reflect your definition of “yesterday’s session.”
⸻
FAQ
Q: My PDH/PDL don’t match the daily chart.
A: By design this uses RTH-only highs/lows, not 24h daily bars. Adjust sessions if you want a different definition.
Q: Right-edge tags overlap or don’t sit at the far right.
A: Increase min separation / horizontal offset / vertical jitter and/or push tags farther with baseline offset. If you want markers that always hug the axis, rely on Trackprice.
Q: Can I change killzones?
A: Yes—edit the session strings in settings or request a version with user inputs for custom windows.
⸻
Disclaimer
Educational use only. This is not financial advice. Always apply your own risk management and confirmation rules.
⸻
Enjoy it? Please ⭐ the script and share screenshots using Minimal Mode + a Theme Preset that fits your style.
FX4M by fx4_livingFX4M Simplified by fx4_living
1. Previous Period Framework
Selectable Period: Prior Daily, Weekly, or Monthly.
Range Box: Full high-to-low span of the prior period, shaded by up/down close.
Body Box: Open-to-close section within the range box.
High/Low Lines: Horizontal lines at the previous period’s high/low.
Equilibrium Line: Midpoint between the previous high and low.
2. Intraday Opening Lines
Plots reference price lines for:
Daily Open
(00:00 New York) Midnight Open
09:30 AM Open
13:30 PM Open
Current-Hour Open; plus Weekly/Monthly Opens when Weekly/Monthly is selected.
Each line has its own color, style, and time/price label.
3. Intraday High/Low Tracking
Marks the current day’s highest and lowest prices.
“D-H” and “D-L” labels with time in tooltip.
4. Accumulation Range
Definition: First one-third of the selected reference period.
Shows full range (high-to-low) and body (open-to-close), shaded by up/down close.
After it ends, the Accumulation High/Low/EQ are drawn as horizontal lines.
Optional alerts mark the first time the Accumulation High or Low is reached.
5. Accumulation Range Deviation Levels
After the Accumulation period ends, horizontal levels are drawn at ±0.5, ±1.0, ±1.5 … ±3.5 of the Accumulation range size from its High/Low. Optional small labels show the level value.
Optional alerts mark the first time each deviation level is reached.
6. Previous Period Hit Detection
Marks the first time price reaches the prior period’s High, Low, or Equilibrium during the current period.
Optional alerts are possible.
7. Pre-Market Zone
Marks 05:00–06:59 New York time with a shaded box and dotted midline; color reflects up/down close. The midline can extend forward.
Displayed on intraday charts up to 15 minutes.
8. Status Table
Daily High (time & price)
Daily Equilibrium (current deviation % and price)
Daily Low (time & price)
MWD Institutional order flow (optional): shows Daily/Weekly/Monthly closes vs. their respective opens (directional arrows in colored cells).
Customizable Watermark (optional).
Enjoy
fx4_living
Information-Geometric Market DynamicsInformation-Geometric Market Dynamics
The Information Field: A Geometric Approach to Market Dynamics
By: DskyzInvestments
Foreword: Beyond the Shadows on the Wall
If you have traded for any length of time, you know " the feeling ." It is the frustration of a perfect setup that fails, the whipsaw that stops you out just before the real move, the nagging sense that the chart is telling you only half the story. For decades, technical analysis has relied on interpreting the shadows—the patterns left behind by price. We draw lines on these shadows, apply indicators to them, and hope they reveal the future.
But what if we could stop looking at the shadows and, instead, analyze the object casting them?
This script introduces a new paradigm for market analysis: Information-Geometric Market Dynamics (IGMD) . The core premise of IGMD is that the price chart is merely a one-dimensional projection of a much richer, higher-dimensional reality—an " information field " generated by the collective actions and beliefs of all market participants.
This is not just another collection of indicators. It is a unified framework for measuring the geometry of the market's information field—its memory, its complexity, its uncertainty, its causal flows—and making high-probability decisions based on that deeper reality. By fusing advanced mathematical and informational concepts, IGMD provides a multi-faceted lens through which to view market behavior, moving beyond simple price action into the very structure of market information itself.
Prepare to move beyond the flatland of the price chart. Welcome to the information field.
The IGMD Framework: A Multi-Kernel Approach
What is a Kernel? The Heart of Transformation
In mathematics and data science, a kernel is a powerful and elegant concept. At its core, a kernel is a function that takes complex, often inscrutable data and transforms it into a more useful format. Think of it as a specialized lens or a mathematical "probe." You cannot directly measure abstract concepts like "market memory" or "trend quality" by looking at a price number. First, you must process the raw price data through a specific mathematical machine—a kernel—that is designed to output a measurement of that specific property. Kernels operate by performing a sort of "similarity test," projecting data into a higher-dimensional space where hidden patterns and relationships become visible and measurable.
Why do creators use them? We use kernels to extract features —meaningful pieces of information—that are not explicitly present in the raw data. They are the essential tools for moving beyond surface-level analysis into the very DNA of market behavior. A simple moving average can tell you the average price; a suite of well-chosen kernels can tell you about the character of the price action itself.
The Alchemist's Challenge: The Art of Fusion
Using a single kernel is a challenge. Using five distinct, computationally demanding mathematical engines in unison is an immense undertaking. The true difficulty—and artistry—lies not just in using one kernel, but in fusing the outputs of many . Each kernel provides a different perspective, and they can often give conflicting signals. One kernel might detect a strong trend, while another signals rising chaos and uncertainty. The IGMD script's greatest strength is its ability to act as this alchemist, synthesizing these disparate viewpoints through a weighted fusion process to produce a single, coherent picture of the market's state. It required countless hours of testing and calibration to balance the influence of these five distinct analytical engines so they work in harmony rather than cacophony.
The Five Kernels of Market Dynamics
The IGMD script is built upon a foundation of five distinct kernels, each chosen to probe a unique and critical dimension of the market's information field.
1. The Wavelet Kernel (The "Microscope")
What it is: The Wavelet Kernel is a signal processing function designed to decompose a signal into different frequency scales. Unlike a Fourier Transform that analyzes the entire signal at once, the wavelet slides across the data, providing information about both what frequencies are present and when they occurred.
The Kernels I Use:
Haar Kernel: The simplest wavelet, a square-wave shape defined by the coefficients . It excels at detecting sharp, sudden changes.
Daubechies 2 (db2) Kernel: A more complex and smoother wavelet shape that provides a better balance for analyzing the nuanced ebb and flow of typical market trends.
How it Works in the Script: This kernel is applied iteratively. It first separates the finest "noise" (detail d1) from the first level of trend (approximation a1). It then takes the trend a1 and repeats the process, extracting the next level of cycle (d2) and trend (a2), and so on. This hierarchical decomposition allows us to separate short-term noise from the long-term market "thesis."
2. The Hurst Exponent Kernel (The "Memory Gauge")
What it is: The Hurst Exponent is derived from a statistical analysis kernel that measures the "long-term memory" or persistence of a time series. It is the definitive measure of whether a series is trending (H > 0.5), mean-reverting (H < 0.5), or random (H = 0.5).
How it Works in the Script: The script employs a method based on Rescaled Range (R/S) analysis. It calculates the average range of price movements over increasingly larger time lags (m1, m2, m4, m8...). The slope of the line plotting log(range) vs. log(lag) is the Hurst Exponent. Applying this complex statistical analysis not to the raw price, but to the clean, wavelet-decomposed trend lines, is a key innovation of IGMD.
3. The Fractal Dimension Kernel (The "Complexity Compass")
What it is: This kernel measures the geometric complexity or "jaggedness" of a price path, based on the principles of fractal geometry. A straight line has a dimension of 1; a chaotic, space-filling line approaches a dimension of 2.
How it Works in the Script: We use a version based on Ehlers' Fractal Dimension Index (FDI). It calculates the rate of price change over a full lookback period (N3) and compares it to the sum of the rates of change over the two halves of that period (N1 + N2). The formula d = (log(N1 + N2) - log(N3)) / log(2) quantifies how much "longer" and more convoluted the price path was than a simple straight line. This kernel is our primary filter for tradeable (low complexity) vs. untradeable (high complexity) conditions.
4. The Shannon Entropy Kernel (The "Uncertainty Meter")
What it is: This kernel comes from Information Theory and provides the purest mathematical measure of information, surprise, or uncertainty within a system. It is not a measure of volatility; a market moving predictably up by 10 points every bar has high volatility but zero entropy .
How it Works in the Script: The script normalizes price returns by the ATR, categorizes them into a discrete number of "bins" over a lookback window, and forms a probability distribution. The Shannon Entropy H = -Σ(p_i * log(p_i)) is calculated from this distribution. A low H means returns are predictable. A high H means returns are chaotic. This kernel is our ultimate gauge of market conviction.
5. The Transfer Entropy Kernel (The "Causality Probe")
What it is: This is by far the most advanced and computationally intensive kernel in the script. Transfer Entropy is a non-parametric measure of directed information flow between two time series. It moves beyond correlation to ask: "Does knowing the past of Volume genuinely reduce our uncertainty about the future of Price?"
How it Works in the Script: To make this work, the script discretizes both price returns and the chosen "driver" (e.g., OBV) into three states: "up," "down," or "neutral." It then builds complex conditional probability tables to measure the flow of information in both directions. The Net Transfer Entropy (TE Driver→Price minus TE Price→Driver) gives us a direct measure of causality . A positive score means the driver is leading price, confirming the validity of the move. This is a profound leap beyond traditional indicator analysis.
Chapter 3: Fusion & Interpretation - The Field Score & Dashboard
Each kernel is a specialist providing a piece of the puzzle. The Field Score is where they are fused into a single, comprehensive reading. It's a weighted sum of the normalized scores from all five kernels, producing a single number from -1 (maximum bearish information field) to +1 (maximum bullish information field). This is the ultimate "at-a-glance" metric for the market's net state, and it is interpreted through the dashboard.
The Dashboard: Your Mission Control
Field Score & Regime: The master metric and its plain-English interpretation ("Uptrend Field", "Downtrend Field", "Transitional").
Kernel Readouts (Wave Align, H(w), FDI, etc.): The live scores of each individual kernel. This allows you to see why the Field Score is what it is. A high Field Score with all components in agreement (all green or red) is a state of High Coherence and represents a high-quality setup.
Market Context: Standard metrics like RSI and Volume for additional confluence.
Signals: The raw and adjusted confluence counts and the final, calculated probability scores for potential long and short entries.
Pattern: Shows the dominant candlestick pattern detected within the currently forming APEX range box and its calculated confidence percentage.
Chapter 4: Mastering the Controls - The Inputs Menu
Every parameter is a lever to fine-tune the IGMD engine.
📊 Wavelet Transform: Kernel ( Haar for sharp moves, db2 for smooth trends) and Scales (depth of analysis) let you tune the script's core microscope to your asset's personality.
📈 Hurst Exponent: The Window determines if you're assessing short-term or long-term market memory.
🔍 Fractal Dimension & ⚡ Entropy Volatility: Adjust the lookback windows to make these kernels more or less sensitive to recent price action. Always keep "Normalize by ATR" enabled for Entropy for consistent results.
🔄 Transfer Entropy: Driver lets you choose what causal force to measure (e.g., OBV, Volume, or even an external symbol like VIX). The throttle setting is a crucial performance tool, allowing you to balance precision with script speed.
⚡ Field Fusion • Weights: This is where you can customize the model's "brain." Increase the weights for the kernels that best align with your trading philosophy (e.g., w_hurst for trend followers, w_fdi for chop avoiders).
📊 Signal Engine: Mode offers presets from Conservative to Aggressive . Min Confluence sets your evidence threshold. Dynamic Confluence is a powerful feature that automatically adapts this threshold to the market regime.
🎨 Visuals & 📏 Support/Resistance: These inputs give you full control over the chart's appearance, allowing you to toggle every visual element for a setup that is as clean or as data-rich as you desire.
Chapter 5: Reading the Battlefield - On-Chart Visuals
Pattern Boxes (The Large Rectangles): These are not simple range boxes. They appear when the Field Score crosses a significance threshold, signaling a potential ignition point.
Color: The color reflects the dominant candlestick pattern that has occurred within that box's duration (e.g., green for Bull Engulf).
Label: Displays the dominant pattern, its duration in bars, and a calculated Confidence % based on field strength and pattern clarity.
Bar Pattern Boxes (The Small Boxes): If enabled, these highlight individual, significant candlestick patterns ( BE for Bull Engulf, H for Hammer) on a bar-by-bar basis.
Signal Markers (▲ and ▼): These appear only when the Signal Engine's criteria are all met. The number is the calculated Probability Score .
RR Rails (Dashed Lines): When a signal appears, these lines automatically plot the Entry, Stop Loss (based on ATR), and two Take Profit targets (based on Risk/Reward ratios). They dynamically break and disappear as price touches each level.
Support & Resistance Lines: Plots of the highest high ( Resistance ) and lowest low ( Support ) over a lookback, providing key structural levels.
Chapter 6: Development Philosophy & A Final Word
One single question: " What is the market really doing? " It represents a triumph of complexity, blending concepts from signal processing, chaos theory, and information theory into a cohesive framework. It is offered for educational and analytical purposes and does not constitute financial advice. Its goal is to elevate your analysis from interpreting flat shadows to measuring the rich, geometric reality of the market's information field.
As the great mathematician Benoit Mandelbrot , father of fractal geometry, noted:
"Clouds are not spheres, mountains are not cones, coastlines are not circles, and bark is not smooth, nor does lightning travel in a straight line."
Neither does the market. IGMD is a tool designed to navigate that beautiful, complex, and fractal reality.
— Dskyz, Trade with insight. Trade with anticipation.
𝙷✪𝚕𝚍𝚎𝚖 [Enhanced MULTI MA Dashboard v7.2]
𝙷✪𝚕𝚍𝚎𝚖 — Enhanced MULTI MA Dashboard v7.2
What it does
A complete moving-average control center that overlays up to seven MAs (5/8/13/20/50/100/200), draws dynamic MA clouds between consecutive pairs, tags crossover events (optional), and shows a compact on-chart dashboard with each MA’s current value and slope-based trend (Up/Down/Flat). It also detects Trendless and High-Volatility regimes to help you adapt your strategy.
Key Features
7 Configurable Moving Averages
Turn each MA on/off individually (5, 8, 13, 20, 50, 100, 200).
Choose type per MA: SMA, EMA, WMA, HMA, VWMA.
Set lengths freely and color each line.
Works on any symbol and timeframe; source selectable (close/open/high/low, etc.).
☁︎ MA Clouds (optional)
Shaded cloud between each consecutive pair (5–8, 8–13, 13–20, 20–50, 50–100, 100–200).
Cloud auto-colors toward the currently dominant MA (above/below) with adjustable transparency.
Quick visual read of short- vs long-side control and compression/expansion.
⚠️ Market Regime Detection
Trendless: measures how tightly short MAs (5, 8, 13) are clustered using std-dev % of their values; user-set threshold.
High Volatility: flags when ATR(Length) > ATR SMA × Multiplier.
Optional background tint and chart labels when regimes flip.
Dashboard cell shows Trending / Trendless / High Volatility with color coding.
➕ Crossover Signal Labels (fully granular)
Toggle labels for any pair you care about (e.g., 5/8, 8/20, 50/200, etc.).
Separate styles/colors for Cross Up and Cross Down; adjustable label size.
Great for momentum shifts, golden/death cross style monitoring, or timing add/reduce decisions.
(Note: these are visual labels; no alertconditions are defined.)
📊 On-Chart MA Dashboard
Compact, movable table (Top/Bottom/Middle, Left/Right/Center).
Columns: MA name, current value, trend direction (derived from MA slope).
Customizable text size, header text, colors, background, optional alternating row colors, and border styling.
Auto-adds a Market row when regime detection is enabled.
How to Use
1 Pick your data source (close by default) and switch on the MAs you care about.
2 Choose MA types and lengths to match your system (e.g., EMA for reactivity, SMA for smoothing).
3 Enable MA Clouds to see compression/expansion and dominance at a glance.
4 Set regime thresholds:
Lower Trendless Threshold → stricter definition of chop.
Raise ATR Multiplier → fewer, “truer” high-volatility flags.
5 Activate specific crossovers that fit your playbook (e.g., 5/20 for short-term momentum, 50/200 for cycle turns).
6 Position and style the dashboard so it stays readable on your layout.
Signal & Reading Guide
Trend column (Up/Down/Flat) reflects the slope of each MA (today vs previous bar).
Cloud flips (color dominance changes) often precede or confirm crossover labels.
Trendless suggests range conditions; consider mean-reversion tools or stand aside.
High Volatility calls for wider stops or volatility-aware sizing; breakouts can travel farther.
Disclaimer
This tool is for education and visualization. It does not constitute financial advice and is not a buy/sell system by itself. Always validate signals within your broader risk-managed plan.
MTF Confluence Dashboard (Multi‑Timeframe Trend/Bias)MTF Confluence Dashboard — Multi‑Timeframe Trend/Bias Table + EMA
The MTF Confluence Dashboard is a fast, non‑repainting multi‑timeframe (MTF) confluence tool that shows higher‑timeframe trend and bias alignment in a compact, on‑chart table. It’s built for prop‑firm challenges and futures day traders who need instant top‑down confirmation without switching charts. Get a clean read of trend direction across your selected timeframes, plus on‑chart MAs for timing.
Why traders use it
* MTF Confluence at a glance: Trend/Bias table aggregates short vs long MA on 1m→1W (you pick which TFs show).
* Non‑repainting: Uses closed-bar higher‑TF data; reliable for alerts and evaluations.
* Futures + prop‑firm friendly: Minimal lag, lightweight, session‑agnostic; perfect for ES/NQ/CL/GC scalping or intraday swings.
Core features
* Trend/Bias Table: “Up / Down” per timeframe and an overall AVG sentiment.
* MA Engine: Choose MA type (SMA/EMA/WMA/HMA) and lengths (e.g., 50/200) to define bias.
* On‑Chart Confirmation: Plots short/long MAs for entry timing on your trading TF.
* Smart Alerts: Built‑in alerts for Strong Up/Up/Neutral/Down/Strong Down average bias.
* Custom Layout: Vertical or Horizontal table, resizable text (Tiny → Huge), corner positioning.
* Pro Visual Themes:
* Dark Intergalactic (neon/futuristic for dark charts)
* Light Minimal (clean light mode)
* Pro Modern (low‑saturation, desk‑ready)
How to trade it
* Scalps (1m–5m): Only take longs when 5m/15m/1H/D are “Up” and AVG is Up/Strong Up; use MA crosses/pulls for entries.
* Intraday swings (5m–15m–1H): Wait for a higher‑TF flip to align; trail under the long MA.
* Risk discipline: If AVG shifts to Neutral/Down, stop looking for longs until bias realigns.
Settings you’ll care about
* Timeframes to display (1m, 2m, 3m, 5m, 10m, 15m, 30m, 1H, 2H, 4H, 6H, 12H, 1D, 1W).
* MA Type: SMA / EMA / WMA / HMA.
* Short/Long lengths (defaults 50/200).
* Theme, orientation, and size.
Notes
* Works on all symbols and timeframes.
* No repainting; alerts trigger on closed conditions.
* Built by PineProfits.
Adaptive Volume Bound Oscillator | QuantEdgeBAdaptive Volume Bound Oscillator | QuantEdgeB
🔍 What is the Adaptive Volume Bound Oscillator (AVBO)?
The AVBO is a volume-weighted momentum oscillator that dynamically adapts its overbought/oversold thresholds to current market volatility. By measuring price’s deviation from a Volume-Weighted Moving Average (VWMA) and surrounding that deviation with bands that expand and contract based on recent oscillator volatility, AVBO provides clear, actionable signals in any market regime.
💡 Think of it as a “volume-aware RSI” that automatically widens its bands in choppy conditions to avoid whipsaws, and tightens them in calm markets to capture even subtle shifts—delivering filtered momentum readings and trend triggers in a single indicator.
⚙️ Core Components
✅ Modular Source Filter
Choose whether AVBO runs on:
• Raw Price – no preprocessing
• Gaussian Filter – smooths noise with a bell-curve weighting
• Median (Percentile) Filter – robust to outliers
• DEMA – double-EMA for fast trend capture
This lets you dial AVBO’s responsiveness vs. smoothness to suit your style.
✅ Volume-Weighted Moving Average (VWMA)
Computes the average of the filtered source, weighted by volume over a lookback. Anchors AVBO in real trade flow.
✅ Raw Oscillator (% Deviation)
Expresses price’s distance from VWMA in percentage terms.
✅ Adaptive Thresholds
• Measure recent volatility of AVBO via its standard deviation
• Scale that volatility by separate up/down multipliers to form upper and lower bands.
Bands expand when AVBO is choppy, contract when it’s calm—automatically keeping signal sensitivity in sync with market conditions.
✅ Signal Logic & Coloring
• Long when AVBO > upper band
• Short when AVBO < lower band
• Neutral otherwise
Candles color-code accordingly, and optional “Long”/“Short” labels mark crossovers.
✅ Backtest & Strength Sensor
• Built-in backtest table (overlaid or standalone) tracks P&L since a user-defined start date.
• Strength Sensor table calculates a 0–100% conviction score combining distance-to-band and rate-of-change—displayed as a mini ASCII bar for quick read.
📊 Backtest Mode
AVBO includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess historical success rate.
BTC
ETH
SOL
SUI
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
📊 Real-Time Performance Panel
When enabled, AVBO’s dashboard shows:
• Current AVBO Value and position relative to bands
• Trend Flag (+1 / 0 / –1)
• Strength Score (bull vs. bear)
• Filter Mode in use
All updated on each bar to keep you informed of momentum shifts at a glance.
💼 Ideal Use Cases
1️⃣ Trend Riding
• Capture sustained moves where volume confirms direction.
2️⃣ Volatility Breakouts
• Spot explosive moves when AVBO pierces its adaptive bands.
3️⃣ Mean-Reversion in Calm Markets
• Tight bands let you spot small, high-probability fades.
4️⃣ Multi-Asset Scan
• Apply AVBO across stocks, crypto, FX, and futures for unified momentum signals.
🧬 Default Configuration
• Source Filter: Price
• VWMA Length: 30
• Volatility Length: 27
• Up Multiplier: 1.8
• Down Multiplier: 0.8
• Adaptive Multiplier: 0.95
🎨 Visual Enhancements
• Candle Bar Sync — bars tint bullish, bearish, or neutral.
• Upper/Lower Band Steplines — highlight band breaches.
• Oscillator Fill — colored fills above/below zero reinforce signal.
🧬 In Summary
AVBO | QuantEdgeB blends volume weighting, adaptive volatility bands, and modular filtering into a single, all-in-one momentum oscillator. It evolves its own sensitivity to market noise, provides clear breakouts/mean-reversion cues, and packages built-in backtest and strength metrics right on your chart—empowering you to trade momentum with confidence, across any asset or timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align AVBO’s settings with your risk tolerance and market objectives before live trading.
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
My Ultimate Reversal Probability Signal (Adaptive)Adaptive indicator combining RSI, T3, ZigZag, Torben, TDI, POB, and reversal probability (credit to original Author) to identify potential trend reversals with customizable settings.
My Ultimate Reversal Probability Signal (Adaptive)
Overview:
This advanced technical indicator is designed to help traders identify potential trend reversals by combining multiple analytical methods into a single, customizable tool. It integrates adaptive RSI, T3 Moving Average, ZigZag Multi-Scale, Torben Moving Median, Trend Direction Index (TDI), Point of Balance (POB) Oscillator, and a Trend Reversal Probability model. The indicator provides clear visual signals and a detailed table for real-time market analysis, making it suitable for traders of all experience levels.
Key Features:
Adaptive RSI: Dynamically adjusts RSI length based on market volatility, with customizable min/max lengths (5–50).
T3 Moving Average: Smooths price data with adaptive length (5–50) for trend detection.
ZigZag Multi-Scale: Identifies key swing points with adaptive length (3–20) and plots an average line.
Torben Moving Median: Provides robust trend bands using a median-based approach (5–50).
Trend Direction Index (TDI): Assesses future trend direction with adaptive length (3–7) and ADX integration.
Point of Balance (POB) Oscillator: Measures market equilibrium with adaptive length (5–50).
Trend Reversal Probability: Estimates reversal likelihood using a statistical model based on SMA crossovers.
Reversal Zones: Highlights overbought/oversold conditions with RSI-based zones (default: 70/30).
Future Trend Visualization: Projects potential price movements using volume delta analysis.
Comprehensive Table: Displays real-time values for RSI length, T3 length, ZigZag length, Torben length, TDI length, POB length, Delta1, and reversal probability.
Backtesting Metrics: Tracks win rate, profit factor, and total trades within a user-defined date range.
Customizable Settings: Extensive input options for enabling/disabling components, adjusting lengths, and tweaking volatility influence.
How It Works:
The indicator combines multiple signals to generate buy/sell conditions, visualized as upward (▲) or downward (▼) arrows on the chart. Each component (RSI, T3, etc.) can be enabled or disabled via the settings panel, allowing traders to tailor the tool to their strategy. The adaptive lengths adjust dynamically based on market conditions, ensuring relevance across different timeframes and assets. A table in the bottom-left corner provides a snapshot of key metrics, including the newly added Delta1 (volume delta for the first period), enhancing decision-making.
Usage Tips:
Timeframes: Works on any timeframe, but higher timeframes (e.g., 1H, 4H, Daily) may reduce noise.
Assets: Suitable for stocks, forex, cryptocurrencies, and commodities.
Confirmation: Combine with price action or other indicators for stronger signals.
Settings: Adjust RSI overbought/oversold levels (default 70/30) and enable/disable components to match your trading style.
Backtesting: Use the built-in win rate and profit factor metrics to evaluate performance within a custom date range.
Settings:
Main Settings: ATR period (14), RSI length (min 5, max 50, default 14).
Signal Filtering: Enable/disable T3, ZigZag, VolDelta, Torben, TDI, POB, Reversal Probability, and Reversal Zones.
T3 Settings: Adaptive/static length (5–50), volume factor (0.7), volatility influence (0.3).
VolDelta Settings: Adaptive/static length (3–20), volatility influence (0.3).
Torben Settings: Adaptive/static length (5–50), volatility influence (0.3).
Trend Reversal Settings: Adaptive/static length (5–50), SMA periods (5/34).
TDI Settings: Adaptive/static length (3–7), ATR/ADX periods (14), smoothing factor (0.5).
POB Settings: Adaptive/static length (5–50), volatility influence (0.3).
Colors: Customize up/down colors and volatility band display.
Backtest Date Range: Set start/end dates for performance metrics.
Visual Elements:
Plots: T3 line, ZigZag average line, Torben bands, volatility bands, reversal zones.
Shapes: Buy (▲) and sell (▼) signals, T3 crossover markers (🞛).
Boxes: Volume delta-based future trend boxes (drawn on the last bar).
Table: Displays adaptive lengths, Delta1, and reversal probability.
Labels: Optional reversal labels for overbought/oversold conditions.
Intended Audience:
Day traders seeking precise reversal signals.
Swing traders analyzing multi-timeframe trends.
Technical analysts combining multiple indicators.
Beginners learning adaptive indicator mechanics.
Disclaimer:
This indicator is for educational and analytical purposes only. It does not guarantee profits or predict future market movements. Always conduct your own research, use proper risk management, and consider market conditions before trading. The author is not responsible for any financial losses incurred.
Feedback:
I welcome your feedback and suggestions to improve this indicator. Please share your experience in the comments or contact me directly. Happy trading!
PRO SMC DASHBOARDPRO SMC DASHBOARD - PRO LEVEL
Advanced Supply & Demand / SMC dashboard for scalping and intraday:
Multi-Timeframe Trend: Visualizes trend direction for M1, M5, M15, H1, H4.
HTF Supply/Demand: Shows closest high time frame (HTF) supply/demand zone and distance (in pips).
Smart “Flip” & Liquidity Signals: Flip and Liquidity Sweep arrows/signals are shown only when truly significant:
Near HTF Supply/Demand zone
And confirmed by volume spike or high confluence score
Momentum & Bias: Real-time momentum (RSI M1), H1 bias and fakeout detection.
Confluence Score: Objective score (out of 7) for trade confidence.
Volume Spike, Divergence, BOS: Includes volume spikes, RSI divergence (M1), and Break of Structure (BOS) for both M15 & H1.
Ultra-clean chart: Only valid signals/alerts shown; no spam or visual clutter.
Full dashboard with all signals and context, always visible bottom-right.
Best used for:
Forex, Gold/Silver, US indices, and crypto
Scalping/intraday with fast, clear decisions based on multi-factor SMC logic
Usage:
Add to your chart, monitor the dashboard for valid setups, and trade only when multiple factors align for high-probability entries.
How to Use the PRO SMC DASHBOARD
1. Add the Script to Your Chart:
Apply the indicator to your favorite Forex, Gold, crypto, or indices chart (best on M1, M5, or M15 for entries).
2. Read the Dashboard (Bottom Right):
The dashboard shows real-time information from multiple timeframes and key SMC filters, including:
Trend (M1, M5, M15, H1, H4):
Arrows show up (↑) or down (↓) trend for each timeframe, based on EMA.
Momentum (RSI M1):
Shows “Strong Up,” “Strong Down,” or “Neutral” plus the current RSI value.
RSI (H1):
Higher timeframe momentum confirmation.
ATR State:
Indicates current volatility (High, Normal, Low).
Session:
Detects if the market is in London, NY, or Asia session (based on UTC).
HTF S/D Zone:
Shows the nearest high timeframe Supply or Demand zone, its timeframe (M15, H1, H4), and exact pip distance.
Fakeout (last 3):
Detects recent false breakouts—if there are multiple fakeouts, potential for reversal is higher.
FVG (Fair Value Gap):
Indicates direction and distance to the nearest FVG (Above/Below).
Bias:
“Strong Buy,” “Strong Sell,” or “Neutral”—multi-timeframe, momentum, and volatility filtered.
Inducement:
Alerts for possible “stop hunt” or liquidity grab before reversal.
BOS (Break of Structure):
Recent or live breaks of market structure (for both M15 & H1).
Liquidity Sweep:
Shows if price just swept a key high/low and then reversed (often key reversal point).
Confluence Score (0-7):
Higher score means more factors align—look for 5+ for strong setups.
Volume Spike:
“YES” appears if the current volume is significantly above average—big players are active!
RSI Divergence:
Bullish or bearish divergence on M1—signals early reversal risk.
Momentum Flip:
“UP” or “DN” appears if RSI M1 crosses the 50 line, confirmed by location and other filters.
Chart Signals (Arrows & Markers):
Flip arrows (up/down) and Liquidity markers only appear when price is at/near a key Supply/Demand zone and confirmed by either a volume spike or strong confluence.
No signal spam:
If you see an arrow or LIQ tag, it’s a truly significant moment!
Suggested Trading Workflow:
Scan the Dashboard:
Is the multi-timeframe trend aligned?
Are you near a major Supply or Demand zone?
Is the Confluence Score high (5 or more)?
Check for Signals:
Is there a Flip or LIQ marker near a Supply/Demand zone?
Is volume spiking or a fakeout just occurred?
Look for Reversal or Continuation:
If there’s a Flip at Demand (with high confluence), consider a long setup.
If there’s a LIQ sweep + flip + volume at Supply, consider a short.
Manage Risk:
Don’t chase every signal.
Confirm with your entry criteria and preferred session timing.
Pro Tips:
Highest confidence trades:
When dashboard signals and chart arrows/markers agree, especially with high confluence and volume spike.
Adapt pip distance filter:
Dashboard is tuned for FX and gold; for other assets, adjust pip-size filter if needed.
Use alerts (if enabled):
Set up custom TradingView alerts for “Flip” or “Liquidity” signals for auto-notifications.
Designed to help you make professional, objective decisions—without chart clutter or second-guessing!
ds-Volume with Flags & Alerts v1.2ds-Volume with Flags & Alerts: User & Training Guide
1. Summary of Features
This indicator is a powerful, all-in-one tool designed to give you a deep and customizable view of market volume. By analyzing volume in multiple ways, it helps you spot unusual activity, confirm trends, and identify potential reversals.
How It Helps a Trader:
Spotting Institutional Activity: The core purpose of the Volume Flags (using either the Multiplier or Standard Deviation method) is to highlight bars with exceptionally high volume. These spikes often signal the entry or exit of large institutional players. A high-volume up-bar can confirm bullish conviction, while a high-volume down-bar can signal significant selling pressure.
Identifying Climactic Events: The HVE (Highest Volume Ever) and HV1 (Highest Volume - 1 Year) labels automatically pinpoint the most significant volume events on the chart. A "blow-off top" at the end of a long uptrend or a "capitulation" event at a market bottom is almost always accompanied by an HVE or HV1 bar. These are critical moments to watch for potential trend reversals.
Gauging Buying vs. Selling Pressure: The Up/Down Volume Ratio gives you a more nuanced view than volume alone. A ratio consistently above 1.2 suggests that buyers are more aggressive, while a ratio below 0.8 suggests sellers are in control. Watching this ratio can help you confirm the strength of a trend or spot divergences where price is rising but the ratio is falling (a potential warning sign).
Visual Confirmation & Customization: With options to color both the volume bars and the main price bars, you can get instant visual confirmation of these events without having to look away from the price action. The ability to toggle features on and off keeps your chart clean and focused on what matters most to you.
Actionable Alerts: The comprehensive alert system ensures you don't miss a key event. You can be notified of everything from a new all-time high volume bar to a subtle shift in the Up/Down Volume Ratio, allowing you to react to market changes in real-time.
2. User-Changeable Options
This indicator is highly customizable. Here is a breakdown of every setting available in the "Inputs" tab.
General Settings
MA Length: The lookback period for the simple moving average (the gray area plot) of the volume.
Volume Flags
Color Price Bars with Flags: If checked, the main price bars on your chart will be colored when a high or low volume flag condition is met.
Color Volume Bars with Flags: If checked, the volume bars in the indicator pane will be colored for flag conditions.
Flag Calculation Method: This is a crucial setting.
Multiplier (Default): Identifies high volume based on a simple multiple of the average volume (e.g., volume is 1.4x its average). It's simple and intuitive.
Standard Deviation: Identifies high volume based on how statistically unusual it is compared to its recent behavior. This method is more adaptive to changing market volatility.
Daily/Weekly Lookback (Multiplier): Sets the lookback period for calculating the average volume when using the "Multiplier" method.
Daily/Weekly High-Vol Multiplier: Sets the multiplier for a high volume event (e.g., 1.4).
STDEV Length (Daily/Weekly): Sets the lookback period for calculating the average and standard deviation when using the "Standard Deviation" method.
STDEV Threshold (Daily/Weekly): Sets the number of standard deviations above the average required to trigger a high volume flag (e.g., 2.0).
Daily/Weekly Low-Vol Multiplier: Sets the threshold for a low volume event (e.g., 0.5 means volume is less than 50% of its average). This is always based on the multiplier method.
Ratios & Stats
Up/Down Ratio Daily/Weekly Lookback: Sets the lookback period for calculating the sum of up volume and down volume for the ratio.
Ratio Calculation Method:
Close vs. Open: Defines an "up volume" bar as one where the close is higher than the open.
Close vs. Previous Close (Default): Defines an "up volume" bar as one where the close is higher than the previous bar's close. This is a common standard.
Up Ratio Arrow Threshold: If the U/D Ratio exceeds this value, a green "up" arrow will appear.
Show Up Ratio Arrow: Toggles the visibility of the green "up" arrow.
Down Ratio Arrow Threshold: If the U/D Ratio falls below this value, a red "down" arrow will appear.
Show Down Ratio Arrow: Toggles the visibility of the red "down" arrow.
Cross-Exchange Open Interest[nakano]## Cross-Exchange Open Interest
This Pine Script® indicator aggregates **Open Interest (OI)** across multiple exchanges and trading pairs, displaying it as a single, easy-to-understand candlestick chart. OI represents the total number of outstanding derivative contracts and is a crucial metric for gauging market sentiment and liquidity.
このPine Script®インジケーターは、複数の取引所と複数の取引ペアにわたる**オープンインタレスト (OI)** を集計し、単一の分かりやすいローソク足チャートとして表示します。OIは未決済のデリバティブ契約の総数を表し、市場のセンチメントと流動性を測る重要な指標となります。
### Key Features
* **Cross-Exchange Aggregation:** Integrates OI data from several major exchanges (e.g., Binance, OKX, BitMEX, Kraken). You can configure up to 10 exchange slots.
* **クロス取引所集計:** 複数の主要な取引所 (例: Binance, OKX, BitMEX, Kraken) からのOIデータを統合します。最大10個の取引所スロットを設定できます。
* **Multi-Pair Support:** For each exchange, you can specify multiple trading pairs (e.g., `USDT.P`, `USD.P`) separated by commas, and their OIs will be summed up.
* **複数ペアサポート:** 各取引所に対し、カンマ区切りで複数の取引ペア（例: `USDT.P`, `USD.P`）を指定し、それらのOIを合計して表示できます。
* **Flexible Asset Settings:**
* **Chart Symbol:** Automatically aggregates OI for the base asset of the current chart (e.g., BTC if on a BTCUSDT chart).
* **Custom Asset:** Allows you to manually specify a base asset (e.g., ETH, SOL) for OI aggregation.
* **柔軟な資産設定:**
* **チャートシンボルに連動:** 現在表示しているチャートの基本資産（例: BTCUSDTチャートならBTC）のOIを自動的に集計します。
* **カスタム資産:** 特定の基本資産（例: ETH, SOL）のOIを手動で指定して集計することも可能です。
* **OI Candlestick Display:** Plots the aggregated OI data as candlesticks.
* **Up/Down Candles:** OI increases are shown as "up" candles, and decreases as "down" candles, with customizable colors.
* **OIローソク足表示:** 集計されたOIデータをローソク足としてプロットします。
* **陽線/陰線:** OIが増加した場合は陽線、減少した場合は陰線として表示され、色をカスタマイズできます。
* **Bar Coloring based on OI Change:** Features the ability to change the color of the main chart's price bars based on significant OI changes.
* **Dynamic Threshold:** Calculates a dynamic threshold based on historical OI changes and a user-defined multiplier to automatically identify "significant changes" in OI.
* **Color-coded:** Highlights the main chart's bars with customizable colors when there is a large increase or decrease in OI.
* **OI変化に基づくバーカラーリング:** メインチャートの価格バーの色を、OIの大きな変化に基づいて変更する機能があります。
* **動的閾値:** 過去のOI変化を基に動的な閾値を計算し、設定した乗数に応じてOIの「大きな変化」を自動で識別します。
* **色分け:** OIの大幅な増加または減少があった場合に、メインチャートのバーをカスタマイズ可能な色でハイライトします。
* **Debug Table (Optional):** When enabled, a debug table appears on the chart, showing raw OI data, quantity-based OI, and USD-converted OI for each exchange and pair in real-time, which helps in verifying the data.
* **デバッグテーブル (オプション):** 有効にすると、各取引所・ペアごとの生OIデータ、数量ベースのOI、USD換算OIをリアルタイムで表示するデバッグテーブルがチャート上に表示され、データの確認に役立ちます。
### How to Use
This indicator helps you understand the overall trend of open positions for a specific asset across the market. An increase in OI generally indicates an influx of capital and growing market interest, while a decrease suggests the opposite. By combining price movements with OI changes, you can gain deeper insights into bullish/bearish signals and the potential for trend continuation or reversal.
このインジケーターは、特定の資産に対する市場全体の未決済ポジションの動向を把握するのに役立ちます。OIの増加は通常、市場への資金流入と関心の高まりを示し、OIの減少はその逆を示唆します。価格変動とOIの変化を組み合わせることで、市場の強気・弱気の兆候や、トレンドの継続・反転の可能性をより深く分析することが可能です。
### Settings
* **OI Candle Settings:** Configure the colors for the up and down OI candles.
* **OIローソク足設定:** OIローソク足の陽線と陰線の色を設定します。
* **Asset & Exchange Settings:**
* **Asset Source:** Choose "Chart Symbol" to link to the current chart's symbol, or "Custom" to specify the asset in "Base Asset (Custom)".
* **Slot 1-10:** Enable/disable each exchange slot and set the exchange name and comma-separated trading pairs you wish to aggregate.
* **資産と取引所の設定:**
* **資産ソース:** 「Chart Symbol」を選択すると現在のチャートのシンボルに連動し、「Custom」を選択すると「Base Asset (Custom)」で指定した資産のOIを集計します。
* **スロット 1-10:** 各スロットで取引所を有効/無効にし、取引所名と、集計したい取引ペア（カンマ区切り）を設定します。
* **Bar Coloring on OI Change:**
* **Enable Bar Coloring:** Toggles whether the main chart's bars change color based on significant OI changes.
* **Threshold Calculation Period / Multiplier:** Sets the period and multiplier for dynamic threshold calculation.
* **OI Increase Color / OI Decrease Color:** Sets the colors applied to the main chart's bars for large OI increases/decreases.
* **OI変化に基づくバーカラーリング:**
* **バーカラーリングを有効にする:** OIの大きな変化に基づいてメインチャートのバーの色を変更するかどうかを切り替えます。
* **閾値計算期間 / 乗数:** 動的な閾値計算に使用する期間と乗数を設定します。
* **OI増加時の色 / OI減少時の色:** OIの大きな増加/減少があった場合にメインチャートのバーに適用される色を設定します。
* **Debug Table Settings:**
* **Show Debug Table:** Toggles the display of the debug table and sets its position.
* **Font Size / BG Color:** Configures the font size and background color for the debug table.
* **デバッグテーブル設定:**
* **デバッグテーブルを表示:** デバッグテーブルの表示/非表示を切り替え、表示位置を設定します。
* **フォントサイズ / 背景色:** デバッグテーブルのフォントサイズと背景色を設定します。
Uptrick: Fusion Trend Reversion SystemOverview
The Uptrick: Fusion Trend Reversion System is a multi-layered indicator designed to identify potential price reversals during intraday movement while keeping traders informed of the dominant short-term trend. It blends a composite fair value model with deviation logic and a refined momentum filter using the Relative Strength Index (RSI). This tool was created with scalpers and short-term traders in mind and is especially effective on lower timeframes such as 1-minute, 5-minute, and 15-minute charts where price dislocations and quick momentum shifts are frequent.
Introduction
This indicator is built around the fusion of two classic concepts in technical trading: identifying trend direction and spotting potential reversion points. These are often handled separately, but this system merges them into one process. It starts by computing a fair value price using five moving averages, each with its own mathematical structure and strengths. These include the exponential moving average (EMA), which gives more weight to recent data; the simple moving average (SMA), which gives equal weight to all periods; the weighted moving average (WMA), which progressively increases weight with recency; the Arnaud Legoux moving average (ALMA), known for smoothing without lag; and the volume-weighted average price (VWAP), which factors in volume at each price level.
All five are averaged into a single value — the raw fusion line. This fusion acts as a dynamically balanced centerline that adapts to price conditions with both smoothing and responsiveness. Two additional exponential moving averages are applied to the raw fusion line. One is slower, giving a stable trend reference, and the other is faster, used to define momentum and cloud behavior. These two lines — the fusion slow and fusion fast — form the backbone of trend and signal logic.
Purpose
This system is meant for traders who want to trade reversals without losing sight of the underlying directional bias. Many reversal indicators fail because they act too early or signal too frequently in choppy markets. This script filters out noise through two conditions: price deviation and RSI confirmation. Reversion trades are considered only when the price moves a significant distance from fair value and RSI suggests a legitimate shift in momentum. That filtering process gives the trader a cleaner, higher-quality signal and reduces false entries.
The indicator also visually supports the trader through colored bars, up/down labels, and a filled cloud between the fast and slow fusion lines. These features make the market context immediately visible: whether the trend is up or down, whether a reversal just occurred, and whether price is currently in a high-risk reversion zone.
Originality and Uniqueness
What makes this script different from most reversal systems is the way it combines layers of logic — not just to detect signals, but to qualify and structure them. Rather than relying on a single MA or a raw RSI level, it uses a five-MA fusion to create a baseline fair value that incorporates speed, stability, and volume-awareness.
On top of that, the system introduces a dual-smoothing mechanism. It doesn’t just smooth price once — it creates two layers: one to follow the general trend and another to track faster deviations. This structure lets the script distinguish between continuation moves and possible turning points more effectively than a single-line or single-metric system.
It also uses RSI in a more refined way. Instead of just checking if RSI is overbought or oversold, the script smooths RSI and requires directional confirmation. Beyond that, it includes signal memory. Once a signal is generated, a new one will not appear unless the RSI becomes even more extreme and curls back again. This memory-based gating reduces signal clutter and prevents repetition, a rare feature in similar scripts.
Why these indicators were merged
Each moving average in the fusion serves a specific role. EMA reacts quickly to recent price changes and is often favored in fast-trading strategies. SMA acts as a long-term filter and smooths erratic behavior. WMA blends responsiveness with smoothing in a more balanced way. ALMA focuses on minimizing lag without losing detail, which is helpful in fast markets. VWAP anchors price to real trade volume, giving a sense of where actual positioning is happening.
By combining all five, the script creates a fair value model that doesn’t lean too heavily on one logic type. This fusion is then smoothed into two separate EMAs: one slower (trend layer), one faster (signal layer). The difference between these forms the basis of the trend cloud, which can be toggled on or off visually.
RSI is then used to confirm whether price is reversing with enough force to warrant a trade. The RSI is calculated over a 14-period window and smoothed with a 7-period EMA. The reason for smoothing RSI is to cut down on noise and avoid reacting to short, insignificant spikes. A signal is only considered if price is stretched away from the trend line and the smoothed RSI is in a reversal state — below 30 and rising for bullish setups, above 70 and falling for bearish ones.
Calculations
The script follows this structure:
Calculate EMA, SMA, WMA, ALMA, and VWAP using the same base length
Average the five values to form the raw fusion line
Smooth the raw fusion line with an EMA using sens1 to create the fusion slow line
Smooth the raw fusion line with another EMA using sens2 to create the fusion fast line
If fusion slow is rising and price is above it, trend is bullish
If fusion slow is falling and price is below it, trend is bearish
Calculate RSI over 14 periods
Smooth RSI using a 7-period EMA
Determine deviation as the absolute difference between current price and fusion slow
A raw signal is flagged if deviation exceeds the threshold
A raw signal is flagged if RSI EMA is under 30 and rising (bullish setup)
A raw signal is flagged if RSI EMA is over 70 and falling (bearish setup)
A final signal is confirmed for a bullish setup if RSI EMA is lower than the last bullish signal’s RSI
A final signal is confirmed for a bearish setup if RSI EMA is higher than the last bearish signal’s RSI
Reset the bullish RSI memory if RSI EMA rises above 30
Reset the bearish RSI memory if RSI EMA falls below 70
Store last signal direction and use it for optional bar coloring
Draw the trend cloud between fusion fast and fusion slow using fill()
Show signal labels only if showSignals is enabled
Bar and candle colors reflect either trend slope or last signal direction depending on mode selected
How it works
Once the script is loaded, it builds a fusion line by averaging five different types of moving averages. That line is smoothed twice into a fast and slow version. These two fusion lines form the structure for identifying trend direction and signal areas.
Trend bias is defined by the slope of the slow line. If the slow line is rising and price is above it, the market is considered bullish. If the slow line is falling and price is below it, it’s considered bearish.
Meanwhile, the script monitors how far price has moved from that slow line. If price is stretched beyond a certain distance (set by the threshold), and RSI confirms that momentum is reversing, a raw reversion signal is created. But the script only allows that signal to show if RSI has moved further into oversold or overbought territory than it did at the last signal. This blocks repetitive, weak entries. The memory is cleared only if RSI exits the zone — above 30 for bullish, below 70 for bearish.
Once a signal is accepted, a label is drawn. If the signal toggle is off, no label will be shown regardless of conditions. Bar colors are controlled separately — you can color them based on trend slope or last signal, depending on your selected mode.
Inputs
You can adjust the following settings:
MA Length: Sets the period for all moving averages used in the fusion.
Show Reversion Signals: Turns on the plotting of “Up” and “Down” labels when a reversal is confirmed.
Bar Coloring: Enables or disables colored bars based on trend or signal direction.
Show Trend Cloud: Fills the space between the fusion fast and slow lines to reflect trend bias.
Bar Color Mode: Lets you choose whether bars follow trend logic or last signal direction.
Sens 1: Smoothing speed for the slow fusion line — higher values = slower trend.
Sens 2: Smoothing speed for the fast line — lower values = faster signal response.
Deviation Threshold: Minimum distance price must move from fair value to trigger a signal check.
Features
This indicator offers:
A composite fair value model using five moving average types.
Dual smoothing system with user-defined sensitivity.
Slope-based trend definition tied to price position.
Deviation-triggered signal logic filtered by RSI reversal.
RSI memory system that blocks repetitive signals and resets only when RSI exits overbought or oversold zones.
Real-time tracking of the last signal’s direction for optional bar coloring.
Up/Down labels at signal points, visible only when enabled.
Optional trend cloud between fusion layers, visualizing current market bias.
Full user control over smoothing, threshold, color modes, and visibility.
Conclusion
The Fusion Trend-Reversion System is a tool for short-term traders looking to fade price extremes without ignoring trend bias. It calculates fair value using five diverse moving averages, smooths this into two dynamic layers, and applies strict reversal logic based on RSI deviation and momentum strength. Signals are triggered only when price is stretched and momentum confirms it with increasingly strong behavior. This combination makes the tool suitable for scalping, intraday entries, and fast market environments where precision matters.
Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk, and no tool can predict market behavior with certainty. Use proper risk management and do your own research before making trading decisions.
Vix_Fix Enhanced MTF [Cometreon]The VIX Fix Enhanced is designed to detect market bottoms and spikes in volatility, helping traders anticipate major reversals with precision. Unlike standard VIX Fix tools, this version allows you to control the standard deviation logic, switch between chart styles, customize visual outputs, and set up advanced alerts — all with no repainting.
🧠 Logic and Calculation
This indicator is based on Larry Williams' VIX Fix and integrates features derived from community requests/advice, such as inverse VIX logic.
It calculates volatility spikes using a customizable standard deviation of the lows and compares it to a moving high to identify potential reversal points.
All moving average logic is based on Cometreon's proprietary library, ensuring accurate and optimized calculations on all 15 moving average types.
🔷 New Features and Improvements
🟩 Custom Visual Styles
Choose how you want your VIX data displayed:
Line
Step Line
Histogram
Area
Column
You can also flip the orientation (bottom-up or top-down), change the source ticker, and tailor the display to match your charting preferences.
🟩 Multi-MA Standard Deviation Calculation
Customize the standard deviation formula by selecting from 15 different moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
This gives you fine control over how volatility is measured and allows tuning the sensitivity for different market conditions.
🟩 Full Control Over Percentile and Deviation Conditions
You can enable or disable lines for standard deviation and percentile conditions, and define whether you want to trigger on over or under levels — adapting the indicator to your exact logic and style.
🟩 Chart Type Selection
You're no longer limited to candlestick charts! Now you can use Vix_Fix with different chart formats, including:
Candlestick
Heikin Ashi
Renko
Kagi
Line Break
Point & Figure
🟩 Multi-Timeframe Compatibility Without Repainting
Use a different timeframe from your chart with confidence. Signals remain stable and do not repaint. Perfect for spotting long-term reversal setups on lower timeframes.
🟩 Alert System Ready
Configure alerts directly from the indicator’s panel when conditions for over/under signals are met. Stay informed without needing to monitor the chart constantly.
🔷 Technical Details and Customizable Inputs
This indicator includes full control over the logic and appearance:
1️⃣ Length Deviation High - Adjusts the lookback period used to calculate the high deviation level of the VIX logic. Shorter values make it more reactive; longer values smooth out the signal.
2️⃣ Ticker - Choose a different chart type for the calculation, including Heikin Ashi, Renko, Kagi, Line Break, and Point & Figure.
3️⃣ Style VIX - Change the visual style (Line, Histogram, Column, etc.), adjust line width, and optionally invert the display (bottom-to-top).
📌 Fill zones for deviation and percentile are active only in Line and Step Line modes
4️⃣ Use Standard Deviation Up / Down - Enable the overbought and oversold zone logic based on upper and lower standard deviation bands.
5️⃣ Different Type MA (for StdDev) - Choose from 15 different moving averages to define the calculation method for standard deviation (SMA, EMA, HMA, JMA, etc.), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness.
6️⃣ BB Length & Multiplier - Adjust the period and multiplier for the standard deviation bands, similar to how Bollinger Bands work.
7️⃣ Show StdDev Up / Down Line - Enable or disable the visibility of upper and lower standard deviation boundaries.
8️⃣ Use Percentile & Length High - Activate the percentile-based logic to detect extreme values in historical volatility using a customizable lookback length.
9️⃣ Highest % / Lowest % - Set the high and low percentile thresholds (e.g., 85 for high, 99 for low) that will be used to trigger over/under signals.
🔟 Show High / Low Percentile Line - Toggle the visual display of the percentile boundaries directly on the chart for clearer signal reference.
1️⃣1️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, ATR length, etc.
1️⃣2️⃣ Timeframe – Enables using SuperTrend on a higher timeframe.
1️⃣3️⃣ Wait for Timeframe Closes -
✅ Enabled – Displays Vix_Fix smoothly with interruptions.
❌ Disabled – Displays Vix_Fix smoothly without interruptions.
☄️ If you find this indicator useful, leave a Boost to support its development!
Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
Market Map – AK_Trades📌 Market Map – AK_Trades
A real-time context engine designed to enhance your entries, exits, and overall trade confidence.
Built to complement any scalping or breakout strategy — or function as a reliable standalone guide.
🧠 What It Does:
📊 Detects market structure shifts
📍 Draws clean Support/Resistance zones (non-repainting)
🟥 Displays trend background shading + trend label
🚨 Flags breakouts, reversals, and invalidations
📈 Adds a real-time confidence ribbon for quick decision-making
🧭 LEGEND
Element Description
🟩🟥 Background Color Trend direction based on 21/50 EMA (green = uptrend, red = downtrend)
🟥🟩 Dashed Lines Dynamic support (green) and resistance (red) from pivot highs/lows
🔼 BREAKOUT ↑ Triggered only if price breaks key level + 0.25 ATR and volume confirms
🔽 BREAKDOWN ↓ Triggered only on valid breakdown with volume and trend alignment
🟡 Triangle (Up/Down) Reversal Warning – candle closes against current trend & EMAs
❌ Orange X Invalidation Marker – price reversed after breakout within 2 bars
📉 Confidence Strip (Green/Red) Shows strength/weakness of each bar based on trend and EMA proximity
🔤 UPTREND / DOWNTREND Trend label shown top-right of chart
⚠️ Notes:
Use this for bias confirmation, clean visual structure, and exit management.
Best paired with a high-conviction entry signal.
❗Disclaimer:
This script is for educational purposes only. It is not financial advice. Use at your own risk. The author assumes no responsibility for any trading losses incurred.
Adaptive Pulsar Momentum | QuantEdgeB⚡ Adaptive Pulsar Momentum | QuantEdgeB
🔭 What is Adaptive Pulsar Momentum?
The Adaptive Pulsar Momentum (APM) is a high-performance, modular trading system designed to decode market momentum across a range of conditions. It combines multi-indicator adaptability (RSI, MFI, Z-Score, ROC, and a hybrid AVG mode) with dynamic signal generation using five advanced "modes" of signal logic: Impulse, Trend, Heikin-Ashi Candles, Statistical Deviation, and MACD.
💡 Think of APM as a scientific instrument, scanning, adapting, and broadcasting precision-tuned momentum data in real-time, helping traders eliminate noise, guesswork, and lag.
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1.🔧 System Core: Customizability and Adaptation
📊 Indicator Modes
• 𝓡𝓢𝓘 (Relative Strength Index): Classic oscillator detecting overbought/oversold zones.
• 𝓩-𝓢𝓒𝓞𝓡𝓔: Normalized deviation from mean; ideal for statistical reversion plays.
• 𝓜𝓕𝓘 (Money Flow Index): Volume-weighted RSI-style metric.
• 𝓡𝓞𝓒 (Rate of Change): Measures the velocity of price change.
• 𝓐𝓥𝓖: Combines RSI, MFI, Z-Score, and ROC into a unified signal (normalized to 0–100 scale).
🧠 MA Engine (Smoothing)
Over a dozen moving average types:
• Includes ALMA, TEMA, JMA, SMMA, HMA, LSMA, VWMA, and more.
• Dynamic smoothing makes this system versatile across markets and timeframes.
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2.🧨 SIGNAL MODES – THE ENGINE ROOM
Each mode turns the raw smoothed indicator into a powerful momentum signal with thresholds and logic specific to the use case.
1️⃣ 𝓘𝓶𝓹𝓾𝓵𝓼𝓮 Mode
🚀 Use case:
Best for detecting explosive, fast-moving momentum before the crowd catches on.
🔍 Logic:
• Thresholds can be Static, Percentile-based, or Standard Deviation derived.
• Dynamic signal: +1 for breakout, -1 for breakdown, 0 for neutral.
• Custom threshold percentiles enable precise tuning.
🎯 Ideal for:
• Scalping breakouts
• Event-driven spikes (e.g., CPI, FOMC)
• Early trend initiation
2️⃣ 𝓣𝓻𝓮𝓷𝓭 Mode
🧭 Use case:
Built to identify and follow trends with minimal noise. Stable, low-churn logic for riding moves.
🔍 Logic:
• Signal generated via cross above/below a calculated midline (either fixed or dynamic mean).
• Best paired with SMMA or TEMA smoothing.
🎯 Ideal for:
• Swing traders
• Momentum trend followers
• Portfolio rotation strategies
3️⃣ 𝓗𝓐 𝓒𝓪𝓷𝓭𝓵𝓮𝓼 Mode
🔥 Use case:
Filters volatility while capturing structural momentum shifts using Heikin-Ashi logic on smoothed indicators.
🔍 Logic:
• Converts the smoothed signal into Heikin-Ashi candles.
• Measures close vs open to determine trend direction.
• Thresholds again can be static, percentile, or SD-based.
🎯 Ideal for:
• Visual trend clarity
• Avoiding whipsaws in sideways markets
• Discretionary trading with cleaner structure
• Mean-Reverting
4️⃣ 𝓢𝓽𝓪𝓽𝓲𝓼𝓽𝓲𝓬𝓪𝓵 𝓓𝓮𝓿𝓲𝓪𝓽𝓲𝓸𝓷 Mode
🧪 Use case:
Detects high-volatility expansions before or during major directional surges.
🔍 Logic:
• Calculates absolute deviation using HA open vs close.
• Filters this with a moving average and overlays a volatility cloud.
• Breaks above/below the cloud signal directional surge.
🎯 Ideal for:
• Pre-breakout scanning
• Identifying regime shifts
• Options traders looking for volatility expansions
5️⃣ 𝓜𝓐𝓒𝓓 Mode
🧲 Use case:
Classic MACD principles adapted to smoothed momentum indicators—ideal for trend continuation or crossovers.
🔍 Logic:
• MACD line = Pulsar signal - EMA of signal.
• Thresholds (up/down) define bias.
• Optional extra filter to validate with midline crossing.
🎯 Ideal for:
• Trend confirmation
• Crossover-based entry strategies
• Confluence with higher timeframe bias
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3.📊 System Sensor Table
Adaptive Pulsar Momentum includes a live multi-layered analytics table designed to give traders a complete pulse on current market behavior. Here's what each section reveals:
🔁 System Signal
At any given bar, the algorithm outputs one of three states:
• Long ⟹ Bullish conditions are active and sustained
• Short ⟹ Bearish momentum dominates
• Cash ⟹ Neutral zone — conditions lack a strong directional bias
This is dynamically adjusted based on the selected signal mode (Impulse, Trend, etc.) and adapts in real time to shifts in smoothed oscillator logic or candle structure.
📊 Strength: Conviction & Potential
Unlike binary signals, this table offers graded insights into how strong or fragile the signal actually is, a huge upgrade from traditional systems.
There are two distinct layers:
1. Conviction Strength –> shown when the system is in a full long or short signal.
- A value like “Long Strength: 84%” means there's high confidence in the continuation or follow-through of the current bias.
- It blends distance from threshold, momentum velocity (Rate of Change), and position in range to avoid false positives and overstretched signals.
2. Potential Strength –> shown during neutral (Cash) periods.
- Two bars appear: one for bullish potential, another for bearish potential.
- These answer: “If the market were to move soon, which side has the edge?”
- Example: "↗ 68% / ↘ 32%" means bulls have more pent-up energy or structure.
These bars provide pre-signal tension, helping traders anticipate breakouts or avoid traps during choppy periods.
🔸 HA Candle Phase (When Mode = HA Candles)
Instead of showing strength bars, this mode displays a phase label, interpreting the Heikin-Ashi candle structure in context of momentum and thresholds:
- Momentum Up / Down –> Strong impulse direction confirmed above or below dynamic bounds.
- Reversal Up / Down –> Early signs of potential reversals (price beyond bounds but opposite signal ).
- Continuation Up / Down –> Sustained movement after a signal confirmation (post-threshold cross).
- Chop –> Sideways indecisiveness, often signaling to reduce risk or await clarity.
- Neutral –> No active momentum or pattern signal.
This provides a narrative view of market behavior, ideal for discretionary traders who rely on visual rhythm and pattern recognition.
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5. 🧠 Optional Smart Configuration
Enable “Use Recommended Settings” to auto-configure:
• Optimized lengths
• Best-suited moving averages
• Signal type filters
• Volatility lookbacks
Perfect for those wanting precision without manual tuning.
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6.🧪 Use Cases by Mode Summary
🔹 Impulse Mode
Ideal for traders looking to capitalize on sharp breakouts or high-momentum reversals. This mode is built for speed and sensitivity, making it a go-to for scalping, reacting to news events, or identifying trends at their earliest inflection points.
🔹 Trend Mode
Engineered for longer-term positioning, this mode tracks sustained directional bias over time. Best suited for swing traders or those managing portfolio allocations, it's focused on the midline dynamics that define trend health and commitment.
🔹 HA Candles Mode
This mode filters out noise through smoothed Heikin-Ashi transformations, providing clean visual structure. It's perfect for discretionary traders, pattern recognizers, or those looking to enter pullbacks within broader trends. The phase system (e.g. Momentum, Reversal, Chop) adds narrative context to price action.
🔹 Statistical Deviation Mode
A quantitative engine for traders who thrive on volatility exploitation. By modeling deviations from mean behavior, it's particularly powerful in options strategies, regime detection, or scanning for expansion conditions. This mode excels when price breaks away from standard norms.
🔹 MACD Mode
The classic concept of momentum meets modern smoothing in this variant. Use this for confirmation, spotting divergences, or executing crossover-based strategies. MACD mode gives clarity in ambiguous zones, favoring structured continuation or reversal bias.
Each mode is uniquely crafted for a different style of trader and market environment, and switching between them transforms the entire engine’s behavior
___________________________________
🧭 Conclusion
Adaptive Pulsar Momentum isn’t just a signal tool, it’s a market intelligence system. Whether you’re scalping volatility, swinging trends, or navigating uncertain chop, APM dynamically adjusts to the rhythm of the market. With precision-tuned signal modes, a smart strength matrix, and plug-and-play configuration, it transforms raw momentum into actionable clarity.
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
AQPRO ScalperX📝 INTRODUCTION
AQPRO ScalperX is a trading indicator designed for fast-paced, intraday trading. It uses Donchian channel breakouts, combined with a proprietary filtering system, to catch buy and sell opportunities as close to the beginning as possible without losing quality of the signals.
On top of core signals, ScalperX includes a real-time max profit tracker, a multi-timeframe (MTF) dashboard, support and resistance zones, and risk management visualization tools like automatic rendering of TP and SL lines. The indicator is fully customizable for both its visuals and functional settings.
🎯 PURPOSE OF USAGE
This indicator was initially designed with the idea of trying to make such a tool, that would be able to catch trend reversal in the most safe way. In this particular situation term 'safe way' is very abstract and it is up to interpretation, but we decided that our definition will be 'trading with price breakouts' , meaning that we would like to capitalize on price breaking its previous structure in the direction opposite to the previous one.
You can clearly see on the chart how buy and sell signals are going one after another on the screenshot below:
This ensures that we follow trend consistently and without missing out on potential profits. Just like they say: " let the winners run ".
Even though indicator with similar goals already exist in the open market, we believe that our proprietary algorithms and filters for determining price breakouts can make a big difference to traders, which employ similar strategies on daily basis, by helping them understand where are the potential high-quality breakouts might be. We haven't found indicator with exact same functionality as ours, which means that traders will be able to leverage an actually new tool to generate new price insights.
In short, main goals of this indicator are as follows:
Catching high-quality price breakouts, filtered to reduce the amount of choppy moves and false signals;
Tracking potential profits in real-time, directly on trader's chart;
Organizing data visualization of data pf latest signals from chosen asset from multiple timeframe in one dashboard;
Automated highlighting of key support and resistance zones on the chart, which serve as confirmation for main signals;
⚙️ SETTINGS OVERVIEW
Options for customization of this indicator are straightforward, but let's review them to make things certainly clear:
🔑 ScalperX / Main Settings
Range — defines the "wideness" of the breakout boxes. Higher values create wider breakout zones and impact breakout sensitivity;
Filter — adjusts the spacing between breakout boxes, determining the strictness of signal filtering. Higher values lead to more selective and rarer signals;
Show Max Profit — displays a real-time line and label that updates when a trade achieves a new peak profit, measured in ticks.
⏰ MTF Signal / Main Settings
Show MTF Signals — enables the generation of buy/sell signals from selected higher timeframes, displayed as labels on the current chart;
Timeframe — specifies the higher timeframe to use for MTF signal detection, such as 1 hour (1h) or 4 hours (4h).
🗂️ MTF Dashboard / Main Settings
Show MTF Dashboard — activates a dashboard that tracks entries, TP, SL, and overall trade bias for one selected symbol across four customizable timeframes;
* Dashboard position ( Vertical ) — adjusts whether the dashboard appears on the Top, Middle, or Bottom of the chart;
* Dashboard position ( Horizontal ) — aligns the dashboard Left, Center, or Right within the chart window;
* the name of the parameter is hidden in the settings
🗂️ MTF Dashboard / Ticker
Ticker to Track — Allows you to choose the specific ticker symbol (e.g., BINANCE:BTCUSDT) for MTF tracking.
🗂️ MTF Dashboard / Timeframes
* Timeframe 1 — set the first timeframe for multi-timeframe analysis (e.g., 15 minutes);
* Timeframe 2 — set the second timeframe for multi-timeframe analysis (e.g., 30 minutes);
* Timeframe 3 — set the third timeframe for multi-timeframe analysis (e.g., 1 hour);
* Timeframe 4 — set the fourth timeframe for multi-timeframe analysis (e.g., 4 hours).
* the name of the parameter is hidden in the settings
🛡️ Risk Management / Main Settings
Show TP&SL — displays dynamic lines and labels for the entry, Take Profit (TP), and Stop Loss (SL) of the most recent signal, updated in real-time until a new signal triggers;
Risk-to-Reward Ratio (R:R) — defines the ratio for TP and SL calculation to control your risk and reward on every trade.
📐 Support & Resistance / Main Settings
Show Support & Resistance Zones — enables dynamic zones based on pivot points, colored bullish or bearish based on price context;
History Lookback — defines the number of bars to consider when calculating support and resistance levels. Increasing this results in zones derived from longer-term price structures.
🎨 Visual Settings / ScalperX
Bullish Box — defines the color for bullish breakout boxes;
Bearish Box — defines the color for bearish breakout boxes;
Max Profit — sets the color for the max profit line on the chart.
🎨 Visual Settings / S&R
Support — defines color used for standard support zones;
Resistance — defines color used for standard resistance zones;
Strong Support — defines special color for zones classified as "strong support";
Strong Resistance — defines special color for zones classified as "strong resistance".
🎨 Visual Settings / MTF Dashboard
Bullish — sets the color for bullish trade states in the MTF dashboard;
Bearish — sets the color for bearish trade states in the MTF dashboard.
🔔 Alerts / Main Settings
Buy & Sell — toggles alerts for buy and sell signals detected by the indicator in the current chart timeframe;
MTF Buy & Sell — toggles alerts for buy and sell signals detected across the selected MTF timeframes.
📈 APPLICATION GUIDE
Application flow of this indicator very easy to understand and get used to, because all of the necessary elements — analysis, drawing, alert — are already automated by our algorithms. Let's review how the indicator works.
Let's start with the most basic thing — how will your indicator look when you load it on your chart for the first time:
AQPRO ScalperX consists mainly of 6 logic blocks:
ScalperX signals;
Risk visualization;
Max Profit tracking;
MTF scalper signals;
MTF dashboard;
Support & Resistance zones.
Description of each logic block is provided in the corresponding sections below.
SCALPERX SIGNALS
Signals, generated by our indicator, are shown on the chart as coloured up/down triangle. When a signal appears on the chart, indicator also create a box of length equal to 'Range' parameter from "Main Settings" group of settings. This box is intended to show which area of the price was broken by current candle.
It also important to acknowledge, the breakout itself happens only when price closes beyond broken price area with its close (!) price . Breakouts with highs or lows are not counted. This reduces the amount of low-quality signals and ensures that only the strong breakout will appear on the chart.
VERY IMPORTANT NOTE: all signals are considered valid only on the close of the candle, which triggered the signal, so if you want to enter a trade by any signal, wait for its candle to close and open your trade right on the next candle.
Talking about scalper's settings, we need to shed a light on how the changes in them affect signal's quality.
Parameter 'Range' defines the amount of bars, that will be review prior to current candle to determine wether the price area of this bars is good enough to track and if current candle actually broke this price area.
👍 Rule of thumb : the higher the 'Range' is, the "wider" the boxes. Also the with the increase of this parameter rises the lag of the signals, so be carefully with setting high values to this parameter.
See the visual showcase of signals with different 'Range' parameters on the screenshot below:
The example above features two instancies of ScalperX with two different 'Range' parameter values: 15 (leftchart) and 5 (right chart). You can clearly see, that on left chart here are 2 signals in comparison to 6 signals on right chart. Also signals on the left side have bigger lag and they don't catch the start of the move in comparison to how quickly tops and bottoms are catched with low 'Range' . However, low 'Range' will lead to excessive amount of signals, quality of which during 'whipsaw' markets is not that great.
✉️ Our advice on how to optimally set 'Range' parameter:
Use low values to trade during the times, when there are a lot of clean up and down impulses. This way you will catch reversal opportunities sooner and the quality of the signals will still be great;
Use high values on the 'whipsaw' markets. This will filter out many bad signals, that you would get with low-value 'Range' , and will drastically reduces amount of losing trades.
Talking about the 'Filter' parameter, this particular setting defines the 'strictness' of rules which will be applied to price area validation process. Essentially, the higher this parameter is, the stronger price impulse has to be confirm the breakout. However, changes in this parameter will not impact the "wideness" of boxes at all.
👍 Rule of thumb : the higher the 'Filter' is, the more separated the signal will be. Setting this parameter to high value will lead to increase in lag and big reduction in amount of signals, so be careful this parameter to high values.
See the visual showcase of signals with different 'Filter' parameters on the screenshot below:
The example above features two instancies of ScalperX with two different 'Filter' parameter values: 20 (left chart) and 2.5 (right chart). You can clear see, that low 'Filter' generated 6 signals, while higher one generated only 4 signals. However if you look closer, you will see that 2 signals, that existing in the yellow dashed area on the right chart, don't exist in the same area on the left chart. This is because high value of this parameter requires price impulse to be very strong in order for the indicator to mark this breakout as a valid one. What is more important is that these 2 'missing' signals were actually bad and, technically, we actually cut our losses in this case with high value of 'Filter' . You can see that the leftmost sell signal on the left chart eventually closed in a nice profit, in comparison to the same trade being closed in a loss on the right chart because of the 2 signals that we were talking about above.
It is important to note, that setting 'Filter' to low values will not affect performance this much as it low value of 'Range' do, because the indicator already works on low values of this parameter by default and the signals on average are already good enough for trading.
✉️ Our advice on how to optimally set 'Filter' parameter:
Use low values to trade on the markets with clean up and down impulses. This way you avoid excessive filtering and leave a room for good signals to come right at you;
Use high values to trade on 'whipsaw' markets. Higher values of this parameter on these markets have same effect as high 'Range' parameter: filtering false signals and leaving room for actually strong price impulses, which you will later capitalize on.
RISK VISUALIZATION (TP&SL)
Rendering Take-Profits and Stop-Losses in our indicator works quite simple: for each new trade indicator creates new pairs of lines and labels for TP and SL, while lines & labels from previous trade are erased for aesthetics purposes. Each label shows price coordinates, so that each trader would be able to grap the numbers in seconds.
See the visual showcase of TP & SL visualization on the screenshot below:
Also, whenever TP or SL of the current trade is reached, drawing of both TP and SL stops. When the TP is reached, additional '✅' emoji on the TP price is shown as confirmation of Take-Profit.
However, while TP or SL has not been reached, TP&SL labels and lines will be prolonged until one of them will be reached or new signals will come.
See the visual showcase of TP & SL stopping being visualized & TP on the screenshot below:
MAX PROFIT TRACKING
This mechanic is not particularly a new one in field of trading, but people usually forgot that it can be a useful indicator of state of the market:
when lines and labels of Max Profit are far from entry points on consistent basis , it usually means that indicator's signals actually can catch a beginning of good price moves, which enables trader to capitalize on them;
when lines and labels of Max Profit are close to entry points on consistent basis , it means that either market is choppy or the indicator can't catch trading opportunities in time. To 'fix' this you can try to reconfigure scalper's parameters, which were described above.
Principles of Max Profit in this indicator are of industry-standard: when price updates its extremum and 'generates' more profit than it previously did, Max Profit label and line change their position to this extremum. Max Profit label displays the maximum potential amount of profit that a trader could have got during this trade in pips (!) .
See the visual showcase of Max Profit work on the screenshot below:
MTF SCALPER SIGNALS
The principles of these signals are exactly the same as principles for classic Scalper signals. Refer to 'Scalper Signals' section above to rehearse the knowledge.
Logic behind these signals is very simple:
We take classic Scalper signals;
We request the data about these latest signals from specific other timeframe ( user can choose it in the settings );
If such signals appeared, we display it on the chart as a big label with timeframe value inside of it. In comparison to classic signals, no additional boxes are created . TP&SL functionality doesn't cover MTF signals, so don't expect to see TP&SL lines and labels for MTF signals.
See the visual showcase of MTF Scalper signals on the screenshot below:
MTF DASHBOARD
The functionality of the dashboard is pretty simple, but it makes the dashboard itself a very powerful tool in a hands of experienced trader.
Let's review structure of MTF dashboard on the screenshot below:
The important feature of MTF dashboard is that its tracks latest trade's data from a particular ticker and its four timeframes, all of which any trader chooses in the settings. This means, that you can be on asset ABC , but track the data from asset XYZ . This allows for a quick scan of sentiment from different assets and their timeframes, which gives traders a clue on what is the trend on these assets both on lower and higher timeframes at the same moment and saves a lot of time from jumping from one asset & timeframe to another.
To see that this is exactly the case with our indicator, see the screenshot below:
Needless to say, that you can track current asset in the dashboard as well. This will have the same benefits, described in the paragraph above.
You can also customize colours for bullish and bearish patterns for MTF Dashboard in the settings.
SUPPORT & RESISTANCE ZONES
Support & resistance (S&R) zones are a great tool for confirming Scalper signals in complex situations. Using these zones to determine whether or a particular entry opportunity is good is a practice of professional traders, which we specifically added to our indicator for the reason of improving the quality of Scalper signals in long run.
The mechanics behind these zones is based on pivot points, the lookback for which you can customize in the parameter called 'History Lookback (Bars)' in "Support & Resistance / Main Settings" group of settings. Increasing this parameter will lead to a appearance of more 'global' zones, but they will appear much rarer, rather then zones, generated with low values of this parameter.
The quality of these zones doesn't change much when changing this parameter — it only changes the frequency of the zones on the chart. Zones, generated from high values of this parameter are more suitable for long-term trading, while zones, generated from low value of this parameter, are more suitable for short-term trading.
It also important to mention that any zone on the chart is considered active only until the moment its farther border ( top border for resistance zones and bottom border for support zones) is reached by price's high or low .
Take a look on the screenshot below to see which zones does the indicator draw:
Let's review the zones themselves now:
Classic Support/Resistance Zone — a standard zone, which on average has amedium success rate to reverse the price when collided with it;
High-buyer-volume/High-seller-volume Support/Resistance Zone — a stronger zone, which on average has much better success rate to reverse the price when collided with it. Classic zone is marked as high-volume only if the up/down volume near the pivot point of this zone is greater than a certain threshold ( not changeable );
Extreme Support/Resistance Zone — a zone, which appeared beyond price's least-possible-to-cross levels, and has to the highest success rate of reversing the price on encounter across the zones, mentioned previously. Classic zone, which appeared beyond certain price levels, calculated with our proprietary risk system, is considered extreme. Classic zone doesn't need to be high-volume to become an Extreme Zone!
High-buyer-volume/High-seller-volume Extreme Support/Resistance Zone — an Extreme Zone, which has also passed up/down volume evolution process, mentioned in the point 2 .
Trading with the zones, mentioned above, with highest-on-paper success rate — especially Extreme Zones — does NOT guarantee you a price reversal when the price will reach this zone. However, by conducting our own extensive research with this indicator, we have found that using these zone will actually help you increase your success rate on average, because using these zones as confirmation systems filter out quite a number of false signals on average.
It is also important to mention, that opacity (same as 'transparency') of S&R zones depends on the volume of around zone's pivot point:
if volume is high , zone has 'brighter' (less opacity) colour;
if volume is low , zone has 'darker' (more opacity) colour.
Let's review examples of Scalper signal, which 1) where filtered out by our S&R zones and 2) where confirmed by our S&R zones. See the screenshot below:
The example above clearly shows the importance of having an S&R zone confirming the signal. This kind of 'team work' between of Scalper signals and S&R zones results in filtering lots of bad signals and confirmation of truly strong ones.
🔔 ALERTS
This indicator employs alerts for an event when new signal occurs on the current timeframe or on MTF timeframe. While creating the alert below 'Condition' field choose 'any alert() function call'.
When this alert is triggered, it will generate this kind of message:
// Alerts for current timeframe
string msg_template = "EXCHANGE:ASSET, TIMEFRAME: BUY_OR_SELL"
string msg_example = "BINANCE:BTCUSDT, 15m: Buy"
// Alerts for MTF timeframe
string msg_template_mtf = "MTF / EXCHANGE:ASSET, TIMEFRAME: BUY_OR_SELL"
string msg_example_mtf = "MTF / BINANCE:BTCUSDT, 1h: Buy"
📌 NOTES
This indicators works best on assets with high liquidity; most suitable timeframes range from 1m to 4h (depends on your trading style) ;
Seriously consider using S&R zones as confirmation to main Scalper signals or any of your own signals. Confirmation process may filter out a lot of signals, but your PNL History will say "thank you" to you in the long-run and you will see yourself how good confirmed signals actually do work;
Don't forget to look at MTF dashboard from time to time to see global sentiment. This will help you time your entry moments better and will improve your performance in the long run;
This indicator can serve both as primary source of signals and as confirmation tool, but we advise to try to combine it with your own strategy frst to see if it will improve your performance.
🏁 AFTERWORD
AQPRO ScalperX was designed to help traders identify high-quality price breakouts and generate market insights based on them, which include signal generation. Main feature of this indicator is Scalper algorithm, which generate price-breakout-based signals directly on your chart.
Alongside these signals you can leverage 1) MTF Dashboard to track latest trade's data from chosen asset and its four timeframes, 2) risk visualization functionality (TP&SL) to improve understanding of current market risks and 3) Support & Resistance zones, which serve as a great confirmation tool for Scalper signals, but can also work with any other signal generation tool to enhance its performance.
ℹ️ If you have questions about this or any other our indicator, please leave it in the comments.
LULD Bands & Trading Halt Detector [Volume Vigilante]📖 LULD Bands & Trading Halt Detector
This advanced tool visualizes official Limit Up / Limit Down (LULD) price bands and detects regulatory trading halts and resumptions based on SEC and NASDAQ rules. It is engineered for high accuracy by anchoring all calculations to the 1-minute timeframe, ensuring reliable signals across any chart resolution.
📌 What Does This Script Do?
- Draws real-time LULD price band estimations and optional buffer (caution) zones directly on the chart.
- Detects trading halt resumptions by monitoring time gaps between candles and other regulatory criteria. (Note: Due to Pine Script limitations, halts cannot be detected in real-time, only resumptions after they occur.)
- Triggers real-time alerts for:
- Trading Resumptions (Limit Up & Limit Down)
- LULD Zone Entries (Caution Zone)
- Band Breaches (Limit Up and Limit Down)
- Plots historical halt resumption markers to analyse past events.
📐 How It Works:
- Implements official SEC/NASDAQ LULD rules for Tier 1 and Tier 2 securities.
- Applies special band adjustments for the final 25 minutes of trading (after 3:35 PM ET).
- Anchors all logic to the 1-minute timeframe for precise calculations, even on higher timeframe charts.
- Includes adjustable volume and volatility filters to eliminate false signals (ghost halts) on low-- liquidity assets, especially Tier 2 securities when TradingView fails to print candles.
⚙️ How to Use It:
1.) Apply the script to any asset or timeframe.
2.) Adjust Volume and Volatility Filters to reduce noise. (Recommended: 500,000+ volume, 10%+ volatility.)
3.) Enable or disable visual components like bands, buffer zones, and halt resumption labels.
4.) Configure alerts directly from the script settings panel.
5.) Apply alerts to individual assets via "Add Alert On..." or to entire watchlists using "Add Alert on the List."
🧩 What Makes This Script Unique?
- True 1-Minute Anchored Calculations: Ensures alerts and visuals match official trading halt criteria regardless of chart timeframe.
- Customisable Buffered Zones: Visualise proximity to regulatory price limits and avoid volatility traps.
- Combines halt resumption detection, limit up/down band visualisation, and real-time alerts into one clean, modular tool.
📚 Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Use at your own discretion and consult a licensed financial advisor before making trading decisions based on it.
Official Resources:
- NASDAQ LULD Regulations (FAQ):
www.nasdaqtrader.com
Current Nasdaq Trading Halts:
www.nasdaqtrader.com
Q KAMA Clarity Trend Q KAMA Clarity Trend
A minimalistic yet versatile trend-following tool that combines **Kaufman’s Adaptive Moving Average (KAMA) with Gaussian smoothing and ATR-based breakout logic. Built for traders who value clarity, responsiveness, and visual simplicity.
🔧 Core Features
1. Adaptive KAMA Trend Line
• Dynamically adjusts to market volatility using Kaufman’s KAMA.
• Gaussian filter pre-smooths price to reduce noise before calculating KAMA.
2. Dual Trend Logic (toggle)
• Default: Trend shifts on price breakouts above/below KAMA ± ATR channel.
• Alternative: Faster signals based on price crossing KAMA directly.
3. Visual Feedback
• Auto-colored KAMA line based on trend direction (up/down/neutral).
• Arrows on trend reversals (up = green, down = red).
• Optional shadow fill below line for regime clarity.
• Optional dot marker ("⦿") on the KAMA line to show trend shifts.
4. Alerts
• Real-time alerts when a new uptrend or downtrend begins.
• Compatible with manual or automated strategies.
⚙️ Configurable Inputs
• Source: Price input (default: close)
• KAMA Length: Adjusts sensitivity (longer = smoother)
• ATR Length & Multiplier: Defines channel width for breakout detection
• Gaussian Filter (Length & Sigma): Controls smoothing strength
• Trend Logic Mode: ATR channel breakout vs. price-KAMA cross
• Style: Custom colors, background fill, marker visibility
📈 How to Use
• Follow trend arrows for directional confirmation
• Use ATR breakout mode for cleaner, filtered signals
• Switch to price-KAMA crossover mode for earlier entries
• Works well with structure, momentum, and volume confirmation
ETH to RTH Gap DetectorETH to RTH Gap Detector
What It Does
This indicator identifies and tracks custom-defined gaps that form between Extended Trading Hours (ETH) and Regular Trading Hours (RTH). Unlike traditional gap definitions, this indicator uses a specialized approach - defining up gaps as the space between previous session close high to current session initial balance low, and down gaps as the space from previous session close low to current session initial balance high. Each detected gap is monitored until it's touched by price.
Key Features
Detects custom-defined ETH-RTH gaps based on previous session close and current session initial balance
Automatically identifies both up gaps and down gaps
Visualizes gaps with color-coded boxes that extend until touched
Tracks when gaps are filled (when price touches the gap area)
Offers multiple display options for filled gaps (color change, border only, pattern, or delete)
Provides comprehensive statistics including total gaps, up/down ratio, and touched gap percentage
Includes customizable alert system for real-time gap filling notifications
Features toggle options for dashboard visibility and weekend sessions
Uses time-based box coordinates to avoid common TradingView drawing limitations
How To Use It
Configure Session Times : Set your preferred RTH hours and timezone (default 9:30-16:00 America/New York)
Set Initial Balance Period : Adjust the initial balance period (default 30 minutes) for gap detection sensitivity
Monitor Gap Formation : The indicator automatically detects gaps between the previous session close and current session IB
Watch For Gap Fills : Gaps change appearance or disappear when price touches them, based on your selected style
Check Statistics : View the dashboard to see total gaps, directional distribution, and touched percentage
Set Alerts : Enable alerts to receive notifications when gaps are filled
Settings Guide
RTH Settings : Configure the start/end times and timezone for Regular Trading Hours
Initial Balance Period : Controls how many minutes after market open to calculate the initial balance (1-240 minutes)
Display Settings : Toggle gap boxes, extension behavior, and dashboard visibility
Filled Box Style : Choose how filled gaps appear - Filled (color change), Border Only, Pattern, or Delete
Color Settings : Customize colors for up gaps, down gaps, and filled gaps
Alert Settings : Control when and how alerts are triggered for gap fills
Weekend Session Toggle : Option to include or exclude weekend trading sessions
Technical Details
The indicator uses time-based coordinates (xloc.bar_time) to prevent "bar index too far" errors
Gap boxes are intelligently limited to avoid TradingView's 500-bar drawing limitation
Box creation and fill detection use proper range intersection logic for accuracy
Session detection is handled using TradingView's session string format for reliability
Initial balance detection is precisely calculated based on time difference
Statistics calculations exclude zero-division scenarios for stability
This indicator works best on futures markets with extended and regular trading hours, especially indices (ES, NQ, RTY) and commodities. Performs well on timeframes from 1-minute to 1-hour.
What Makes It Different
Most gap indicators focus on traditional open-to-previous-close gaps, but this tool offers a specialized definition more relevant to ETH/RTH transitions. By using the initial balance period to define gap edges, it captures meaningful price discrepancies that often provide trading opportunities. The indicator combines sophisticated gap detection logic with clean visualization and comprehensive tracking statistics. The customizable fill styles and integrated alert system make it practical for both chart analysis and active trading scenarios.
MTF Analysis Panel [Invesmate]MTF Analysis Panel
This indicator provides a compact Multi-Timeframe (MTF) view of trend and momentum conditions directly on the chart. It combines EMA trend checks, RSI momentum checks, and optional Relative Strength analysis to offer an intuitive overview of market structure across intraday, daily, weekly, and monthly timeframes.
Trend and Momentum Analysis
The script uses two primary methods for assessing the market:
Trend Detection: Based on price relation to a user-selected EMA for each timeframe.
Momentum Detection: Based on whether RSI is above or below 50 for each timeframe.
Users can independently toggle these modules through inputs to customize the panel for different analysis needs.
Trend and momentum are calculated separately to avoid bias, helping traders capture the real state of the market across multiple timeframes.
Relative Strength (Optional)
If enabled, when either Weekly or Monthly timeframes are selected, the panel will display Relative Strength (RS ) data.
RS measures the stock's performance relative to a benchmark symbol (like NSE:NIFTY).
This value shows the percent outperformance or underperformance over a user-defined period (default 55 days), allowing deeper market strength analysis.
Table and Display Logic
The indicator draws a neat panel on the chart using TradingView’s table functionality.
Each selected timeframe (15m, 1h, 4h, 1D, 1W, 1M) will display:
Trend (EMA): Green for bullish trend (Price > EMA), Red for bearish trend (Price < EMA), Gray if neutral or not applicable.
Momentum (RSI): Green if RSI > 50, Red if RSI < 50, Gray if neutral.
Symbols for trend and momentum can be customized between:
Emoji mode (e.g., 🟢, 🔴, 🟦, 🟥)
Text mode (e.g., UP, DOWN, NEUTRAL)
The panel is customizable for position (Top Left, Top Right, Bottom Left, Bottom Right) to fit user preference.
Color Codes
Strong Bullish: All selected timeframes are trending up and momentum is rising — shown with a light green background.
Strong Bearish: All selected timeframes are trending down and momentum is falling — shown with a light red background.
Mixed: Any mixed state (some up, some down) — shown with a neutral gray background.
This helps traders instantly recognize overall market sentiment without manually checking individual timeframes.
Summary Labels
At the bottom of the panel, two powerful summaries are displayed:
Trend Summary: Overall trend aggregation across selected timeframes ("STRONG BULLISH", "STRONG BEARISH", or "MIXED").
Momentum Summary: Overall momentum aggregation ("MOMENTUM UP", "MOMENTUM DOWN", or "MOMENTUM MIXED").
When Relative Strength is available (Weekly or Monthly enabled), it is also shown separately at the bottom, providing a complete strength-versus-benchmark view.
Input Controls
Enable EMA Trend Check: Toggle EMA-based trend detection.
Enable RSI Momentum Check: Toggle RSI-based momentum detection.
Timeframes to Display: 15m, 1h, 4h, 1D, 1W, 1M can be independently turned on or off.
EMA Length per Timeframe: Customize EMA lengths for different timeframes.
RSI Length: Set RSI calculation period.
Comparative Symbol: Select the benchmark symbol for Relative Strength calculations.
RS Period: Choose the lookback period for Relative Strength.
Emoji Display Toggle: Switch between emoji-based or text-based display styles.
Table Location: Choose where the analysis panel appears on the chart.
Special Features
Realtime Updating: The panel updates dynamically as bars close, maintaining real-time relevance.
Maximum Label Control : Designed to respect TradingView's maximum label limits to avoid runtime errors.
Optimized for Performance: Uses conditional requests and security calls efficiently, minimizing script execution load.
Known Limitations
Request.security limitations: Relative Strength is only calculated on Daily data for stability; lower timeframe RS is not implemented.
TradingView Table Size: On some screen sizes or with many timeframes selected, table may overlap candles. Adjust panel location accordingly.
