Trend Analysis
Swing v 3Swing v.3 Indicator Description
Swing v.3 is an advanced swing analysis indicator with deep liquidity and volume analysis, designed to identify institutional movements and high-probability reversal points:
Key Components:
🎯 Swing Points Detection:
Intelligent detection of swing highs and lows (SH/SL)
Proper sequencing of peaks and valleys (prevents duplicates)
Identifies strong swings (★) based on high volume
Automatic support and resistance level mapping
📊 Delta Volume Analysis:
Calculates buying/selling pressure for each candle
Identifies strong swings based on Delta threshold
Filters by positive buying or negative selling pressure
Displays detailed liquidity ratios (buy/sell volumes)
⚡ Displacement Candles:
Detects powerful momentum candles with rapid price movement
Multiple conditions: large body, small wicks, high volume
ATR filter to measure strength relative to volatility
Color-codes candles by strength rating
🔍 Wave Analysis:
Tracks waves between swing points
Calculates cumulative buy/sell volume per wave
Detects bullish/bearish divergence patterns
Alerts for fake breakouts and strong accumulation
📊 Live Dashboard:
Real-time statistics for swings and liquidity
Measures price proximity to support/resistance levels
Current Delta information and active wave data
Proximity alerts for nearby key levels
⚙️ Additional Features:
Color-codes candles for strong swing points
Multiple filters for precision (Delta, volume, ATR)
Detailed tooltips for each marker
Flexible color and display settings
The indicator helps traders identify strong reversal points, institutional liquidity zones, and high-momentum candles for more accurate trading decisions.
وصف مؤشر Swing v.3
Swing v.3 هو مؤشر متقدم لتحليل نقاط التأرجح (السوينق) والزخم السعري مع تحليل عميق للسيولة وحجم التداول:
المكونات الرئيسية:
🎯 نقاط السوينق (Swing Points):
كشف نقاط التأرجح العليا والسفلى (SH/SL) بطريقة ذكية
ترتيب صحيح للقمم والقيعان (يمنع التكرار)
تحديد السوينقات القوية (★) بناءً على حجم التداول العالي
رسم مستويات الدعم والمقاومة تلقائياً
📊 تحليل Delta Volume:
حساب ضغط الشراء/البيع لكل شمعة
تحديد السوينقات القوية بناءً على Delta
فلترة حسب ضغط الشراء الإيجابي أو البيع السلبي
عرض نسب السيولة التفصيلية (شراء/بيع)
⚡ شموع Displacement (الإزاحة السريعة):
كشف الشموع القوية ذات الحركة السريعة
شروط متعددة: جسم كبير، ذيول صغيرة، حجم تداول عالي
فلتر ATR لقياس القوة نسبة للتقلبات
تلوين الشموع حسب قوتها
🔍 تحليل الموجات (Wave Analysis):
تتبع الموجات بين السوينقات
حساب إجمالي حجم الشراء/البيع لكل موجة
كشف التباين الإيجابي/السلبي (Divergence)
تنبيهات الاختراق الوهمي والتجميع القوي
📊 لوحة المعلومات (Dashboard):
عرض إحصائيات حية للسوينقات والسيولة
قياس قرب السعر من مستويات الدعم/المقاومة
معلومات Delta الحالية والموجة النشطة
تنبيهات للمستويات القريبة
⚙️ المميزات الإضافية:
تلوين الشموع للسوينقات القوية
فلاتر متعددة للدقة (Delta، حجم التداول، ATR)
معلومات تفصيلية في Tooltips لكل علامة
إعدادات مرنة للألوان والعرض
Smart Money ProSmart Money Pro V 8.1 is an advanced trading indicator that tracks institutional "smart money" movements using multiple Smart Money Concepts (SMC) techniques:
Market Structure: Identifies Change of Character (CHoCH), Break of Structure (BOS), and Internal/External Market Structure (IDM)
Order Blocks: Detects demand/supply zones including EXT OB, IDM OB, SCOB, and mitigation/breaker blocks
Order Flow: Tracks major and minor order flows with mitigation levels
Fair Value Gaps (FVG): Highlights price inefficiencies and imbalance zones
Liquidity Levels: Maps liquidity sweeps and key pivot levels
Price Structure: Shows OTE (Optimal Trade Entry) zones, PDH/PDL (Previous Day High/Low), equilibrium levels, and swing sweeps
Candle Patterns: Detects Inside and Outside bars
The indicator helps traders identify institutional entry/exit points, liquidity grabs, and high-probability trading zones.
Smart Money Pro V 8.1 هو مؤشر متقدم لتتبع تحركات المؤسسات المالية "الأموال الذكية" باستخدام مفاهيم Smart Money Concepts (SMC):
هيكل السوق: يحدد تغيير الاتجاه (CHoCH)، كسر الهيكل (BOS)، والهيكل الداخلي/الخارجي (IDM)
مناطق الطلب والعرض: يكتشف Order Blocks بأنواعها (EXT OB, IDM OB, SCOB) ومناطق الاختراق والتخفيف
تدفق الأوامر: يتتبع التدفقات الرئيسية والثانوية مع مستويات التخفيف
فجوات القيمة العادلة (FVG): يبرز مناطق عدم الكفاءة السعرية وعدم التوازن
مستويات السيولة: يرسم مصائد السيولة والنقاط المحورية الرئيسية
هيكل السعر: يعرض مناطق OTE (نقاط الدخول المثلى)، أعلى/أدنى سعر سابق (PDH/PDL)، مستويات التوازن، وكسر القمم/القيعان
أنماط الشموع: يكتشف شموع Inside و Outside Bar
Trend Pullback S-MSNRThis Indicator Identify two Major Time Frames for Trend Selection and Pullback.
NY time 10:00 AM to 10:15 AM zone will decide for trend.
NY time 10:30 AM to 11:30 AM zone will Pullback and Follow the Previous Trend.
Use S-MSNR Strategy for these two time Zone.
Quantum Trend MatrixThe Quantum Trend Matrix (QTM) is a comprehensive technical analysis suite designed to solve the problem of market noise by combining Statistical Volatility Structure with Momentum Trend Filtration.
Many traders struggle because they trade momentum signals (like crossovers) without considering the daily structural limits of the market. This script integrates these two concepts into a single "Roadmap" to help traders align their entries with institutional price structure.
🎯 Concept & Methodology (How it Works)
This script is not merely a collection of indicators; it is a logic-based system where components effectively filter one another:
1. Structural Volatility Levels (The "Map")
Unlike standard Support/Resistance which is subjective, QTM calculates objective levels based on the internal logic.
Methodology: The script applies specific percentage-based volatility coefficients (tailored to the asset class, e.g., Indices ,Commodities,etc) to the Price.
* The Green Line (Breakout Level) : Represents the statistical upper volatility limit above which a "Bullish Expansion" is expected to occur.
* The Red Line (Breakdown Level): Represents the statistical lower volatility limit Below which a "Bearish Expansion" is expected to occur.
* Why this is useful: It prevents traders from chasing trends in the "chop zone" (between the lines) and highlights high-probability breakout areas.
2. The Value Zone (Trend Validation)
* Methodology: This utilizes a High-Timeframe moving average ribbon logic (calculated using Daily data).
* Function: It acts as a dynamic trend filter. A breakout signal (Green Line cross) is statistically significant if the Price is also supported by the Value Zone (Blue Ribbon). If the Ribbon is Orange, a bullish breakout is likely a "False Trap".
3. Momentum & Exhaustion Logic
* Crossovers (Circles): Validates short-term trend shifts using smoothed exponential average crossovers.
* Mean Reversion (Diamonds): Uses an integrated Oscillator Momentum logic to detect over-extended price action. A Diamond signal warns that the price has deviated too far from the mean (VWAP) and trend continuation is risky.
🛠️ Practical Application
This script is designed for a top-down decision process:
1. Wait for Structure: For Trending Moves do not trade inside the Pivot (Blue) to Breakout (Green/Red) range. This is the "Noise" zone.
2. Confirm the Breakout: Wait for a candle to CLOSE outside the Green or Red volatility levels or to take Support/Resistance from Red/Green Levels respectively.
3. Check the "Value Zone": Ensure the background ribbon color matches the breakout direction (Blue for Long, Orange for Short).
4. Monitor Health: Use the bottom-right panel (displaying RSI, ADX, and DI metrics) to ensure trend strength is sufficient to sustain the move.
⚠️ Disclaimer & Risk Disclosure
* Logic Disclosure: While the specific volatility coefficients and smoothing lengths are proprietary, this script relies on standard technical analysis concepts including Moving Averages, RSI, ADX, and Percentage-based levels relative to the Price.
* No Guarantee: Technical analysis is probabilistic, not predictive. Past performance does not guarantee future results.
* Risk Management: Always use Stop Losses. This tool is an aid for analysis, not a replacement for risk management.
🔒 Access Information
This is a proprietary Invite-Only script.
*(Note: Do not ask for access in the comments below. Please refer to the author's signature or profile for more information).*
BankNifty Aggregate Weighted OBVDescription-
This indicator calculates the aggregate On Balance Volume (OBV) of the entire Bank Nifty Index by analyzing its 12 individual constituents rather than the index futures volume.
Why is this different?
Standard OBV on the Bank Nifty Index usually analyzes the volume of the Index Futures or the raw index volume (which can be inaccurate or derivative-heavy). This script queries the real-time volume and price action of the 12 specific banks that make up the index (HDFC, ICICI, SBI, Axis, Kotak, etc.).
How it works-
Weighted Calculation:- It calculates the Net Flow (Volume * Weightage) for every single bank for the current bar.
Aggregation:- It sums the Net Flow of all 12 banks to create a "Total Sector Flow."
Accumulation:- It generates the OBV line based on this aggregated sector flow.
Normalization:- Unlike simple summation scripts, this calculates flow per bar before accumulating, ensuring that stocks with longer trading histories do not skew the data.
Features:
Customizable Weights:- Users can adjust the weightage of each bank if NSE rebalances the index.
Toggle Constituents:- You can turn specific banks on/off to see their impact.
Signal Line:- Includes an SMA/EMA signal line to help identify volume trend reversals.
Trend Coloring:- The fill color changes (Green/Red) based on the OBV's position relative to the signal line.
How to use:
Trend Confirmation: If Bank Nifty price is rising but this Weighted OBV is falling, it indicates a divergence and potential weakness in the move (lack of institutional participation).
Breakouts: Use the Signal Line crossover to validate breakout moves.
Alper-EMAAlper-EMA
Description:
This indicator allows you to display 5 customizable EMAs (Exponential Moving Averages) on a single chart. Each EMA can be configured independently with length, color, visibility, and calculation timeframe.
Features:
5 fully customizable EMAs
Set individual length and color for each EMA
Toggle visibility for each EMA
Multi-timeframe calculation: e.g., display EMA300 calculated on a 30-minute timeframe while viewing a 1-minute chart
Labels display EMA period and timeframe for clarity
Adjustable label size: tiny / small / normal / large
Clear and readable plot lines
Use Cases:
Monitor multiple timeframe EMAs simultaneously
Analyze trend and support/resistance levels
Track EMA crossovers for strategy development
Note:
This indicator is suitable for both short-term (scalping) and medium-to-long term analysis. The multi-timeframe feature allows you to see different EMA perspectives on a single chart quickly.
DTR Volume TrendDTR Volume Trend is a volume-based oscillator designed to measure trend strength, momentum shifts, and mean-reversion opportunities using volume-weighted price data. The indicator analyzes recent volume profiles, VWAP deviation, and smoothed signals to create a responsive oscillator that adapts to market conditions.
Key Features:
- Volume-weighted oscillator based on VWAP and volume distribution.
- Mean reversion mode to detect when price deviates strongly from its volume-weighted average.
- Adaptive midline that adjusts automatically to recent oscillator behavior.
- Bull and bear zones that highlight potential exhaustion or reversal areas.
- Fast and slow signal lines to show momentum changes through crossovers.
- Optional bar coloring to highlight bullish or bearish conditions on the chart.
How to Use:
- When the oscillator is above the midline, momentum tends to be bullish.
- When it is below the midline, momentum tends to be bearish.
- Upper zones may indicate overbought or exhaustion levels.
- Lower zones may indicate oversold or accumulation levels.
- Crossovers between fast and slow signals can highlight early trend or momentum shifts.
Best For:
- Trend confirmation
- Mean-reversion strategies
- Identifying momentum changes
- Spotting volume-driven extremes
KVS-Ultimate FVG & iFVG System [MTF + Distance Filter]Description: This indicator identifies Fair Value Gaps (FVG) and Inversion FVGs (iFVG) across multiple timeframes (MTF) with an advanced visualization system. Unlike standard FVG indicators, this script solves the "chart clutter" problem with a unique Distance Filter and offers a customizable Split Label System.
Key Features:
1. Unique Distance Filter (Clean Screen Mode):
When enabled, the script only shows the closest FVGs to the current price within a user-defined limit.
Keeps your chart clean while focusing on relevant price action levels.
2. Split Label System (Tabular Design):
Completely customizable label positioning, sizing, and coloring.
Separate controls for Normal FVGs and iFVGs.
Smart Label Logic: If you hide the FVG box, its label automatically hides. If an FVG breaks and becomes an iFVG (or fades), the label logic switches automatically to the iFVG settings.
3. Strict Mode Filtering:
Enabled: Checks if the candle closing price effectively breaks the previous structure (High/Low of the 1st candle), ensuring high-quality gaps.
Disabled: Detects all gaps between wicks (Standard calculation).
4. Multi-Timeframe (MTF) Support:
Monitor FVGs from up to 5 different timeframes simultaneously on a single chart.
5. Dynamic Interaction:
Choose how the script reacts when an FVG is broken: Turn it into an iFVG (Inversion) or simply fade the color (Ghost/Fade mode).
How to Use:
Use the "Distance Filter" checkbox in settings to clean up old/far blocks.
Adjust "TF1" to "TF5" to set up your multi-timeframe analysis.
Customize the Label Panel to align text perfectly with your chart style.
Disclaimer: This tool is for educational purposes and support for technical analysis.
Relative Strength Heatmap [BackQuant]Relative Strength Heatmap
A multi-horizon RSI matrix that compresses 20 different lookbacks into a single panel, turning raw momentum into a visual “pressure gauge” for overbought and oversold clustering, trend exhaustion, and breadth of participation across time horizons.
What this is
This indicator builds a strip-style heatmap of 20 RSIs, each with a different length, and stacks them vertically as colored tiles in a single pane. Every tile is colored by its RSI value using your chosen palette, so you can see at a glance:
How many “fast” versus “slow” RSIs are overbought or oversold.
Whether momentum is concentrated in the short lookbacks or spread across the whole curve.
When momentum extremes cluster, signalling strong market pressure or exhaustion.
On top of the tiles, the script plots two simple breadth lines:
A white line that counts how many RSIs are above 70 (overbought cluster).
A black line that counts how many RSIs are below 30 (oversold cluster).
This turns a single symbol’s RSI ladder into a compact “market pressure gauge” that shows not only whether RSI is overbought or oversold, but how many different horizons agree at the same time.
Core idea
A single RSI looks at one length and one timescale. Markets, however, are driven by flows that operate on multiple horizons at once. By computing RSI over a ladder of lengths, you approximate a “term structure” of strength:
Short lengths react to immediate swings and very recent impulses.
Medium lengths reflect swing behaviour and local trends.
Long lengths reflect structural bias and higher timeframe regime.
When many lengths agree, for example 10 or more RSIs all above 70, it suggests broad participation and strong directional pressure. When only a few fast lengths stretch to extremes while longer ones stay neutral, the move is more fragile and more likely to mean-revert.
This script makes that structure visible as a heatmap instead of forcing you to run many separate RSI panes.
How it works
1) Generating RSI lengths
You control three parameters in the calculation settings:
RS Period – the base RSI length used for the shortest strip.
RSI Step – the amount added to each successive RSI length.
RSI Multiplier – a global scaling factor applied after the step.
Each of the 20 RSIs uses:
RSI length = round((base_length + step × index) × multiplier) , where the index goes from 0 to 19.
That means:
RSI 1 uses (len + step × 0) × mult.
RSI 2 uses (len + step × 1) × mult.
…
RSI 20 uses (len + step × 19) × mult.
You can keep the ladder dense (small step and multiplier) or stretch it across much longer horizons.
2) Heatmap layout and grouping
Each RSI is plotted as an “area” strip at a fixed vertical level using histbase to stack them:
RSI 1–5 form Group 1.
RSI 6–10 form Group 2.
RSI 11–15 form Group 3.
RSI 16–20 form Group 4.
Each group has a toggle:
Show only Group 1 and 2 if you care mainly about fast and medium horizons.
Show all groups for a full spectrum from very short to very long.
Hide any group that feels redundant for your workflow.
The actual numeric RSI values are not plotted as lines. Instead, each strip is drawn as a horizontal band whose fill color represents the current RSI regime.
3) Palette-based coloring
Each tile’s color is driven by the RSI value and your chosen palette. The script includes several palettes:
Viridis – smooth green to yellow, good for subtle reading.
Jet – strong blue to red sequence with high contrast.
Plasma – purple through orange to yellow.
Custom Heat – cool blues to neutral grey to hot reds.
Gray – grayscale from white to black for minimalistic layouts.
Cividis, Inferno, Magma, Turbo, Rainbow – additional scientific and rainbow-style maps.
Internally, RSI values are bucketed into ranges (for example, below 10, 10–20, …, 90–100). Each bucket maps to a unique colour for that palette. In all schemes, low RSI values are mapped to the “cold” or darker side and high RSI values to the “hot” or brighter side.
The result is a true momentum heatmap:
Cold or dark tiles show low RSI and oversold or compressed conditions.
Mid tones show neutral or mid-range RSI.
Warm or bright tiles show high RSI and overbought or stretched conditions.
4) Bull and bear breadth counts
All 20 RSI values are collected into an array each bar. Two counters are then calculated:
Bull count – how many RSIs are above 70.
Bear count – how many RSIs are below 30.
These are plotted as:
A white line (“RSI > 70 Count”) for the overbought cluster.
A black line (“RSI < 30 Count”) for the oversold cluster.
If you enable the “Show Bull and Bear Count” option, you get an immediate reading of how many of the 20 horizons are stretched at any moment.
5) Cluster alerts and background tagging
Two alert conditions monitor “strong cluster” regimes:
RSI Heatmap Strong Bull – triggers when at least 10 RSIs are above 70.
RSI Heatmap Strong Bear – triggers when at least 10 RSIs are below 30.
When one of these conditions is true, the indicator can tint the background of the chart using a soft version of the current palette. This visually marks stretches where momentum is extreme across many lengths at once, not just on a single RSI.
What it plots
In one oscillator window, the indicator provides:
Up to 20 horizontal RSI strips, each representing a different RSI length.
Color-coded tiles reflecting the current RSI value for each length.
Group toggles to show or hide each block of five RSIs.
An optional white line that counts how many RSIs are above 70.
An optional black line that counts how many RSIs are below 30.
Optional background highlights when the number of overbought or oversold RSIs passes the strong-cluster threshold.
How it measures breadth and pressure
Single-symbol breadth
Breadth is usually defined across a basket of symbols, such as how many stocks advance versus decline. This indicator uses the same concept across time horizons for a single symbol. The question becomes:
“How many different RSI lengths are stretched in the same direction at once?”
Examples:
If only 2 or 3 of the shortest RSIs are above 70, bull count stays low. The move is fast and local, but not yet broadly supported.
If 12 or more RSIs across short, medium and long lengths are above 70, the bull count spikes. The move has broad momentum and strong upside pressure.
If 10 or more RSIs are below 30, bear count spikes and you are in a broad oversold regime.
This is breadth of momentum within one market.
Market pressure gauge
The combination of heatmap tiles and breadth lines acts as a pressure gauge:
High bull count with warm colors across most strips indicates strong upside pressure and crowded long positioning.
High bear count with cold colors across most strips indicates strong downside pressure and capitulation or forced selling.
Low counts with a mixed heatmap indicate neutral pressure, fragmented flows, or range-bound conditions.
You can treat the strong-cluster alerts as “extreme pressure” signals. When they fire, the market is heavily skewed in one direction across many horizons.
How to read the heatmap
Horizontal patterns (through time)
Look along the time axis and watch how the colors evolve:
Persistent hot tiles across many strips show sustained bullish pressure and trend strength.
Persistent cold tiles across many strips show sustained bearish pressure and weak demand.
Frequent flipping between hot and cold colours indicates a choppy or mean-reverting environment.
Vertical structure (across lengths at one bar)
Focus on a single bar and read the column of tiles from top to bottom:
Short RSIs hot, long RSIs neutral or cool: early trend or short-term fomo. Price has moved fast, longer horizons have not caught up.
Short and long RSIs all hot: mature, entrenched uptrend. Broad participation, high pressure, greater risk of blow-off or late-entry vulnerability.
Short RSIs cold but long RSIs mid to high: pullback in a higher timeframe uptrend. Dip-buy and continuation setups are often found here.
Short RSIs high but long RSIs low: countertrend rallies within a broader downtrend. Good hunting ground for fades and short entries after a bounce.
Bull and bear breadth lines
Use the two lines as simple, numeric breadth indicators:
A rising white line shows more RSIs pushing above 70, so bullish pressure is expanding in breadth.
A rising black line shows more RSIs pushing below 30, so bearish pressure is expanding in breadth.
When both lines are low and flat, few horizons are extreme and the market is in mid-range territory.
Cluster zones
When either count crosses the strong threshold (for example 10 out of 20 RSIs in extreme territory):
A strong bull cluster marks a broadly overbought regime. Trend followers may see this as confirmation. Mean-reversion traders may see it as a late-stage or blow-off context.
A strong bear cluster marks a broadly oversold regime. Downtrend traders see strong pressure, but the risk of sharp short-covering bounces also increases.
Trading applications
Trend confirmation
Use the heatmap and breadth lines as a trend filter:
Prefer long setups when the heatmap shows mostly mid to high RSIs and the bull count is rising.
Avoid fresh shorts when there is a strong bull cluster, unless you are specifically trading exhaustion.
Prefer short setups when the heatmap is mostly low RSIs and the bear count is rising.
Avoid aggressive longs when a strong bear cluster is active, unless you are trading reflexive bounces.
Mean-reversion timing
Treat cluster extremes as exhaustion zones:
Look for reversal patterns, failed breakouts, or order flow shifts when bull count is very high and price starts to stall or diverge.
Look for reflexive bounce potential when bear count is very high and price stops making new lows or shows absorption at the lows.
Use the palette and counts together: hot tiles plus a peaking white line can mark blow-off conditions, cold tiles plus a peaking black line can mark capitulation.
Regime detection and risk toggling
Use the overall shape of the ladder over time:
If upper strips stay warm and lower strips stay neutral or warm for extended periods, the market is in an uptrend regime. You can justify higher risk for long-biased strategies.
If upper strips stay cold and lower strips stay neutral or cold, the market is in a downtrend regime. You can justify higher risk for short-biased strategies or defensive positioning.
If colours and counts flip frequently, you are likely in a range or choppy regime. Consider reducing size or using more tactical, short-term strategies.
Multi-horizon synchronization
You can think of each RSI length as a proxy for a different “speed” of the same market:
When only fast RSIs are stretched, the move is local and less robust.
When fast, medium and slow RSIs align, the move has multi-horizon confirmation.
You can require a minimum bull or bear count before allowing your main strategy to engage.
Spotting hidden shifts
Sometimes price appears flat or drifting, but the heatmap quietly cools or warms:
If price is sideways while many hot tiles fade toward neutral, momentum is decaying under the surface and trend risk is increasing.
If price is sideways while many cold tiles climb back toward neutral, selling pressure is decaying and the tape is repairing itself.
Settings overview
Calculation Settings
RS Period – base RSI length for the shortest strip.
RSI Step – the increment added to each successive RSI length.
RSI Multiplier – scales all generated RSI lengths.
Calculation Source – the input series, such as close, hlc3 or others.
Plotting and Coloring Settings
Heatmap Color Palette – choose between Viridis, Jet, Plasma, Custom Heat, Gray, Cividis, Inferno, Magma, Turbo or Rainbow.
Show Group 1 – toggles RSI 1–5.
Show Group 2 – toggles RSI 6–10.
Show Group 3 – toggles RSI 11–15.
Show Group 4 – toggles RSI 16–20.
Show Bull and Bear Count – enables or disables the two breadth lines.
Alerts
RSI Heatmap Strong Bull – fires when the number of RSIs above 70 reaches or exceeds the configured threshold (default 10).
RSI Heatmap Strong Bear – fires when the number of RSIs below 30 reaches or exceeds the configured threshold (default 10).
Tuning guidance
Fast, tactical configurations
Use a small base RS Period, for example 2 to 5.
Use a small RSI Step, for tight clustering around the fast horizon.
Keep the multiplier near 1.0 to avoid extreme long lengths.
Focus on Group 1 and Group 2 for intraday and short-term trading.
Swing and position configurations
Use a mid-range RS Period, for example 7 to 14.
Use a moderate RSI Step to fan out into slower horizons.
Optionally use a multiplier slightly above 1.0.
Keep all four groups enabled for a full view from fast to slow.
Macro or higher timeframe configurations
Use a larger base RS Period.
Use a larger RSI Step so the top of the ladder reaches very slow lengths.
Focus on Group 3 and Group 4 to see structural momentum.
Treat clusters as regime markers rather than frequent trading signals.
Notes
This indicator is a contextual tool, not a standalone trading system. It does not model execution, spreads, slippage or fundamental drivers. Use it to:
Understand whether momentum is narrow or broad across horizons.
Confirm or filter existing signals from your primary strategy.
Identify environments where the market is crowded into one side.
Distinguish between isolated spikes and truly broad pressure moves.
The Relative Strength Heatmap is designed to answer a simple but powerful question:
“How many versions of RSI agree with what I am seeing on the chart?”
By compressing those answers into a single panel with clear colour coding and breadth lines, it becomes a practical, visual gauge of momentum breadth and market pressure that you can overlay on any trading framework.
MFM – Light Context HUD (Minimal)Overview
MFM Light Context HUD is the free version of the Market Framework Model. It gives you a fast and clean view of the current market regime and phase without signals or chart noise. The HUD shows whether the asset is in a bullish or bearish environment and whether it is in a volatile, compression, drift, or neutral phase. This helps you read structure at a glance.
Asset availability
The free version works only on a selected list of five assets.
Supported symbols are
SP:SPX
TVC:GOLD
BINANCE:BTCUSD
BINANCE:ETHUSDT
OANDA:EURUSD
All other assets show a context banner only.
How it works
The free version uses fixed settings based on the original MFM model. It calculates the regime using a higher timeframe RSI ratio and identifies the current phase using simplified momentum conditions. The chart stays clean. Only a small HUD appears in the top corner. Full visual phases, ratio logic, signals, and auto tune are part of the paid version.
The free version shows the phase name only. It does not display colored phase zones on the chart.
Phase meaning
The Market Framework Model uses four structural phases to describe how the market
behaves. These are not signals but context layers that show the underlying environment.
Volatile (Phase 1)
The market is in a fast, unstable or directional environment. Price can move aggressively with
stronger momentum swings.
Compression (Phase 2)
The market is in a contracting state. Momentum slows and volatility decreases. This phase
often appears before expansion, but it does not predict direction.
Drift (Phase 3)
The market moves in a more controlled, persistent manner. Trends are cleaner and volatility
is lower compared to volatile phases.
No phase
No clear structural condition is active.
These phases describe market structure, not trade entries. They help you understand the conditions you are trading in.
Cross asset context
The Market Framework Model reads markets as a multi layer system. The full version includes cross asset analysis to show whether the asset is acting as a leader or lagger relative to its benchmark. The free version uses the same internal benchmark logic for regime detection but does not display the cross asset layer on the chart.
Cross asset structure is a core part of the MFM model and is fully available in the paid version.
Included in this free version
Higher timeframe regime
Current phase name
Clean chart output
Context only
Works on a selected set of assets
Not included
No forecast signals
No ratio leader or lagger logic
No MRM zones
No MPF timing
No auto tune
The full version contains all features of the complete MFM model.
Full version
You can find the full indicator here:
payhip.com
More information
Model details and documentation:
mfm.inratios.com
Momentum Framework Model free HUD indicator User Guide: mfm.inratios.com
Disclaimer
The Market Framework Model (MFM) and all related materials are provided for educational and informational purposes only. Nothing in this publication, the indicator, or any associated charts should be interpreted as financial advice, investment recommendations, or trading signals. All examples, visualizations, and backtests are illustrative and based on historical data. They do not guarantee or imply any future performance. Financial markets involve risk, including the potential loss of capital, and users remain fully responsible for their own decisions. The author and Inratios© make no representations or warranties regarding the accuracy, completeness, or reliability of the information provided. MFM describes structural market context only and should not be used as the sole basis for trading or investment actions.
By using the MFM indicator or any related insights, you agree to these terms.
© 2025 Inratios. Market Framework Model (MFM) is protected via i-Depot (BOIP) – Ref. 155670. No financial advice.
EMA Percent Angle & Slope VisualizerEMA Percent Angle & Slope Visualizer is a powerful trend-strength tool that measures the true geometric slope of an EMA using percent-normalized angle calculations.
Unlike raw angle or ATR-based angle methods, this indicator uses the formula:
angle = atan( (EMA_t - EMA_(t-1)) / EMA_(t-1) ) * (180 / pi)
This gives you a universal slope measurement that works across stocks, indices, currencies, and crypto — regardless of price scale.
🔍 Features
Percent-normalized EMA angle for accurate trend strength
Auto-detected slope segments
Dynamic EMA color
🟢 Bullish slope
🔴 Bearish slope
⚪ Neutral (angle below threshold)
Dashed slope lines drawn only during valid slope runs
Angle label displayed at slope end
Works on any timeframe
Designed for momentum traders, trend followers, breakout traders, and algo developers
📌 Why Percent-Normalized Angle?
Raw price angle is meaningless because angles depend on chart scaling.
Percent-normalized angle gives a true slope, equal across all instruments.
✔ Tip
Slopes above +0.15° and below –0.15° represent strong trend phases for Nifty.
Adjust threshold for your timeframe according to your script
FX COT (TT314)Part of FX Dashboard, based on @lord_fed document:
www.lordfed.co.uk
CFTC Commitment of Traders - large speculators view by default.
Viprasol Elite Flow Pro - Premium Order Flow & Trend System═══════════════════════════════════════════════════════════════
🔥 VIPRASOL ELITE FLOW PRO
Professional Order Flow & Trend Detection System
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📊 WHAT IS THIS INDICATOR?
Viprasol Elite Flow Pro is a comprehensive trading system that combines institutional order flow analysis with adaptive trend detection. Unlike basic indicators, this tool identifies high-probability setups by analyzing where smart money is likely positioning, while filtering signals through multiple confirmation layers.
This indicator is designed for traders who want to:
✓ Identify premium (supply) and discount (demand) zones automatically
✓ Detect trend direction with adaptive cloud technology
✓ Spot high-volume rejection points before major moves
✓ Filter low-quality signals with intelligent confirmation logic
✓ Track market strength in real-time via elite dashboard
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🎯 CORE FEATURES
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1️⃣ ELITE TREND ENGINE
• Adaptive Moving Average system (Fast/Adaptive/Smooth modes)
• Dynamic trend cloud that expands/contracts with volatility
• Real-time trend state tracking (Bullish/Bearish/Ranging)
• Trend strength meter (0-10 scale)
• ATR-based volatility adjustments
2️⃣ ORDER FLOW DETECTION
• Automatic Premium Zone (Supply) identification
• Automatic Discount Zone (Demand) identification
• Smart zone extension - zones remain valid until broken
• Zone rejection detection with price action confirmation
• Customizable zone strength (5-30 bars lookback)
3️⃣ VOLUME INTELLIGENCE
• Volume spike detection (configurable threshold)
• Climax bar identification (exhaustion signals)
• Volume filter for signal validation
• Institutional activity detection
4️⃣ SMART SIGNAL SYSTEM
• 3 Signal Modes: Aggressive, Balanced, Conservative
• Multi-layer confirmation logic
• Automatic profit targets (2:1 risk-reward)
• Stop loss suggestions based on ATR
• Prevents overtrading with bars-since-signal filter
5️⃣ ELITE DASHBOARD (HUD)
• Real-time trend direction and strength
• Volume status monitoring
• Active zones counter
• Market volatility gauge
• Current signal status
• 4 positioning options, compact mode available
6️⃣ PREMIUM STYLING
• 4 Professional color themes (Cyber/Gold/Ocean/Fire)
• Adjustable transparency and label sizes
• Clean, institutional-grade visuals
• Optimized for all chart types
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📖 HOW TO USE THIS INDICATOR
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STEP 1: TREND IDENTIFICATION
→ Green Cloud = Bullish trend - look for LONG opportunities
→ Red Cloud = Bearish trend - look for SHORT opportunities
→ Purple Cloud = Ranging - wait for breakout or fade extremes
STEP 2: ZONE ANALYSIS
→ PREMIUM (Red) zones = Potential resistance/supply areas
→ DISCOUNT (Green) zones = Potential support/demand areas
→ Price rejecting from zones = high-probability setups
STEP 3: SIGNAL CONFIRMATION
→ Wait for "LONG" or "SHORT" labels to appear
→ Check dashboard for trend strength (Moderate/Strong preferred)
→ Confirm volume status is "HIGH" or "CLIMAX"
→ Entry: Enter when label appears
→ Stop Loss: Use dotted line (1 ATR away)
→ Take Profit: Use dashed line (2 ATR away)
STEP 4: RISK MANAGEMENT
→ Never risk more than 1-2% per trade
→ Use the provided stop loss levels
→ Trail stops as price moves in your favor
→ Avoid trading during low volatility periods
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⚙️ RECOMMENDED SETTINGS
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FOR SCALPING (1M - 5M):
- Trend Type: Fast
- Sensitivity: 15
- Signal Mode: Aggressive
- Zone Strength: 8
FOR DAY TRADING (15M - 1H):
- Trend Type: Adaptive
- Sensitivity: 21 (default)
- Signal Mode: Balanced
- Zone Strength: 12 (default)
FOR SWING TRADING (4H - Daily):
- Trend Type: Smooth
- Sensitivity: 34
- Signal Mode: Conservative
- Zone Strength: 20
BEST MARKETS:
✓ Crypto (BTC, ETH, major altcoins)
✓ Forex (Major pairs: EUR/USD, GBP/USD)
✓ Indices (S&P 500, NASDAQ, DAX)
✓ High-liquidity stocks
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🎓 UNDERSTANDING THE METHODOLOGY
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This indicator is built on three core concepts:
1. ORDER FLOW THEORY
Markets move between premium (expensive) and discount (cheap) zones. Smart money accumulates in discount zones and distributes in premium zones. This indicator identifies these zones automatically.
2. ADAPTIVE TREND FOLLOWING
Unlike fixed-period moving averages, the Elite Trend Engine adjusts to current market volatility, providing more accurate trend signals in both trending and ranging conditions.
3. CONFLUENCE-BASED ENTRIES
Signals only trigger when multiple conditions align:
- Price in correct zone (premium for shorts, discount for longs)
- Trend confirmation (cloud color matches direction)
- Volume validation (spike or climax present)
- Price action strength (strong rejection candles)
This multi-layer approach dramatically reduces false signals.
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🔔 ALERT SETUP
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This indicator includes 5 alert types:
1. Long Signal → Triggers when buy conditions met
2. Short Signal → Triggers when sell conditions met
3. Volume Climax → Warns of pot
Crypto Grail Crypto Grail — Advanced Multi-Factor Market Intelligence System
Crypto Grail is an institutional-grade multi-factor trading system designed to identify high-probability market conditions through structured trend analysis, volatility modeling, volume diagnostics and candle-level momentum evaluation. The tool operates as an adaptive decision framework that highlights only the most meaningful market alignments while filtering out low-quality noise.
Core Trend Architecture
Crypto Grail builds directional bias using a layered trend framework that integrates:
• EMA21, EMA50 and EMA200 structural mapping
• SuperTrend confirmation
• ADX trend-strength assessment
• EMA-spread evaluation for macro bias
This architecture allows Crypto Grail to distinguish impulsive directional movement from non-directional consolidation phases with high precision.
Quality Scoring Engine
Every potential long or short setup is processed through a quantitative scoring model that evaluates:
• Trend alignment across EMA structure
• SuperTrend directional confirmation
• ADX intensity
• RSI zone positioning
• Candle delta (close-location value)
• Volume deviation relative to baseline
• Volatility state (compressed / normal / explosive)
• Movement percentage vs recent history
• Impulse strength within the current bar
Only setups that satisfy the required quality threshold are eligible for display.
Volatility Regime Modeling
The system dynamically identifies volatility regimes by analyzing:
• ATR-based volatility gradient
• Recent movement amplitude
• Candle impulse relative to volatility envelope
• Expansion and compression cycles
• Chaotic transitions and unstable bursts
This allows the script to identify when the market environment supports sustained follow-through versus when conditions are structurally noisy.
Volume Deviation Framework
Crypto Grail evaluates volume behavior using a rolling baseline to detect:
• Genuine volume expansion
• Volume contraction
• Spike clusters
• Impulse confirmation with volume alignment
Volume states are incorporated directly into the quality-scoring engine, ensuring signals appear only when supported by underlying market participation.
Early & Hybrid Entry Logic
Two optional entry modes expand the system’s capability during dynamic phases:
• Early Mode: identifies strong impulse shifts confirmed by volume + delta
• Hybrid Mode: merges early detection with trend-filtered confirmation
These modes enable more aggressive entries without compromising structural integrity.
Sideways Market Filter
The system includes a consolidation-detection layer that restricts signal generation during:
• Flat ranges
• Low-energy volatility clusters
• ADX-weak trend environments
• EMA compression zones
This significantly increases average signal reliability.
Integrated Trade Simulation Engine
Crypto Grail includes a full visual trade-simulation module featuring:
• ATR-based dynamic stop loss
• Risk-to-reward take profit engine
• Optional ATR trailing stop
• Trade cooldown control
• Complete entry/exit marking
• SL/TP visualization
• Automatic exit-reason tagging
This makes each signal structurally transparent and easy to analyze.
Market Condition Panel
A real-time performance and condition dashboard displays:
• Total trades
• Wins and losses
• Long/short distribution
• Early-entry analytics
• Volume regime
• Volatility regime
• Trend condition
• Current directional bias
This provides ongoing contextual insight during live market conditions.
System Purpose
Crypto Grail is designed as a professional decision-support system that isolates high-probability market structures through multi-layer technical validation. The tool does not guarantee results and should be used with proper risk management.
All-in-One (PHT)All-in-One (PHT) — Modular Multi-Tool Market Analyzer (Pine Script v6)
All-in-One (PHT) is a complete, modular market-analysis toolkit designed for traders who want clean, reliable, and professional-grade charting - in a single indicator.
Built using Pine Script® v6 and structured with reusable PHT-Libraries (EMA Band, Bollinger Band, Fractal, Session), this indicator delivers clarity, precision, and consistent performance across all markets and timeframes.
Unlike traditional indicators that mix logic and visuals, AIO (PHT) uses a fully modular architecture. All calculations come from dedicated libraries, and this main script focuses purely on visual output and clean plotting.
This ensures:
Stable plot references
Zero repainting in all included modules
High performance even with complex overlays
Easy extensibility for future upgrades
🔥 Included Modules
1. EMA Band (PHT Library)
A triple-EMA band designed for trend clarity and structure.
Provides:
EMA of High
EMA of Close
EMA of Low
Band fill visualization
Ideal for identifying trend strength, momentum pockets, and mean-reversion zones.
2. Bollinger Band Suite
A complete Bollinger framework with:
SMA / EMA / WMA midline options
Dual standard-deviation envelopes
Multi-zone band fills (upper, middle, lower)
User-controlled visibility for each layer
Perfect for volatility detection, squeeze identification, and precision envelope trading.
3. Fractal Engine (High/Low Pivots)
Fast, reliable fractal detection using user-defined left/right periods.
Features:
Pivot Highs & Pivot Lows
Multiple marker sizes (Tiny → Large)
Zero-lag plotting with proper offset handling
Useful for swing structure, breakout confirmation, and automated level marking.
4. Market Session Tracker
A powerful session-mapping module that visually highlights market sessions with:
Dynamic session boxes
High & Low markers
Persistent historical sessions
Auto-managed labels, lines, and live updates
Timezone-aware session boundaries (supports IANA zones)
Designed for identifying daily ranges, session liquidity, volatility pockets, and market timing.
🧠 Why This Indicator Is Different
Most “all-in-one” tools mix plotting, logic, and calculations in a single heavy script, causing lag, reference instability, and repainting issues.
All-in-One (PHT) solves this by using a Pine v6 library architecture:
Each component is computed in its own library
The main script handles only visuals
No hidden code, no repainting tricks
Maximum clarity and maintainability
This design mirrors professional software architecture:
clear separation of logic, visuals, and user interface.
🎯 Ideal For
Trend traders
Scalpers & intraday traders
Swing and positional traders
Volatility analysts
Structure-based price action traders
Anyone who wants multiple high-quality tools in one clean indicator
Whether you analyze markets manually or build algorithmic systems, AIO (PHT) provides a solid foundation.
⚙️ Features at a Glance
Fully modular Pine v6 design
Complete EMA band engine
Advanced Bollinger band system (multi-deviation, multi-fill)
Configurable fractal high/low markers
Smart session boxing with history
Clean visuals and transparent settings
No repainting
Fully customizable colors & visibility
Optimized for performance
💡 How to Use
Choose the modules you want to display (EMA, BB, Fractals, Sessions).
Adjust lengths, deviations, or fractal periods as per your trading style.
Use session boxes to understand volatility timing.
Combine bands + fractals for advanced structure-based decisions.
The indicator is designed to overlay on price for maximum clarity.
🚀 Future Upgrades
The PHT framework supports smooth future expansion. Planned modules include:
ATR/volatility engines
Trend switches
Supertrend/Donchian plugins
Volume profile extensions
Updates will remain backward compatible across all modules.
⭐ Summary
All-in-One (PHT) is not just another overlay — it’s a complete multi-tool trading framework built using professional engineering practices in Pine Script v6.
If you want cleaner charts, smarter signals, and a high-performance modular system, this indicator gives you everything in one reliable package.
Magic Equity Trend & PivotsMagic Equity Trend & Pivots is a robust technical analysis engine designed specifically for equity and index traders. It serves as a comprehensive "Trend & Level" companion, combining institutional Pivot Points with a proprietary EMA trend filtering system to identify high-probability setups.
How the Magic Works
This indicator simplifies complex market data into a clear visual workflow:
1. The Magic Equity Trend (Trend Identification) The script uses a weighted system to determine the dominant market direction:
Bullish Trend: Price holds above the primary Trend SMA + a Volatility Buffer (Green Zone).
Bearish Trend: Price is rejected below the Trend SMA - Buffer (Red Zone).
No-Trade Zone: When the price is trapped inside the buffer (Gray Channel), the trend is considered weak or ranging.
2. Institutional Pivot Points Price often reacts at hidden levels. This tool calculates and overlays these levels automatically:
Multi-Type Support: Choose between Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla pivots.
Timeframe Smart-Switching: Use fixed timeframes (e.g., Weekly Pivots on a Daily chart) or let the "Auto" mode decide the best reference period for your current view.
Historical Mode: Unlike standard pivots, these can be back-tested visually to see how prices respected levels in the past.
3. Precision Entry & Exit Logic Trade signals are not random; they are based on a strict confluence of "Magic" factors:
Entry Signal: Requires Trend Alignment + Fast/Slow EMA Crossover + RSI Strength (>60) + Relative Volume Spike.
Top-Up (Add-on): Detects low-risk opportunities to add to a position when price pulls back to the EMA10/20 during a strong trend.
Two-Stage Exit: Secures profits using either an ATR Trailing Stop or an Intraday RSI Breakdown, depending on your settings.
4. Divergence & Momentum
RSI Divergence: Automatically plots Regular Bullish and Bearish divergences to warn of potential reversals at tops or bottoms.
Darvas Boxes: Visualizes consolidation ranges to help identify breakouts.
5. Performance Dashboard A data table provides a snapshot of the asset's health:
Mean Reversion: Measures the % distance from key EMAs (10, 20, 50).
RVOL & ADR: Displays Relative Volume and Average Daily Range to gauge volatility.
Performance Tracker: A theoretical summary table showing how the trend signals have performed over the last 1W, 1M, and 1Y periods.
Settings & Customization
Visuals: Fully customizable colors for the Trend Cloud, Pivots, and Backgrounds.
Filters: Toggle specific filters (Volume, RSI, Trend Buffer) to adapt the sensitivity to different asset classes.
Disclaimer: This tool is for educational purposes and technical analysis assistance only. Past performance displayed in the dashboard does not guarantee future results.
ICT Fair Value Gap (FVG) Detector │ Auto-Mitigated │ 2025Accurate ICT / Smart Money Concepts Fair Value Gap (FVG) detector
Features:
• Detects both Bullish (-FVG) and Bearish (+FVG) using strict 3-candle rule
• Boxes automatically extend right until price mitigates them
• Boxes auto-delete when price closes inside the gap (true mitigation)
• No repainting – 100% reliable
• Clean, lightweight, and works on all markets & timeframes
• Fully customizable colors and transparency
How to use:
– Bullish FVG (green) = potential support / buy zone in uptrend
– Bearish FVG (red) = potential resistance / sell zone in downtrend
Exactly matches The Inner Circle Trader (ICT) methodology used by thousands of SMC traders in 2024–2025.
Enjoy and trade safe!
[CT] Donchian Histogram w/Candle ColorsDonchian Histogram, originally created by RafaelZioni and enhanced with optional price bar coloring, is a momentum-style oscillator that shows where the current close sits inside a dynamic Donchian channel and how that position is evolving over time. The script calculates a rolling high and low over a multi-session lookback period based on your chosen Donchian timeframe, then normalizes the close within that range to create a percentage position between the recent high and low. This normalized value is smoothed with a signal length and plotted as a histogram around a zero line, making it easy to see whether price is pressing toward the upper side of its recent range, the lower side, or oscillating near the middle. Positive values indicate that price is trading closer to the Donchian high, negative values indicate price is closer to the Donchian low, and the magnitude of the histogram reflects how strongly price is favoring one side of the range. The color logic highlights this state visually: stronger positive conditions can be shown in teal, moderate positive conditions in lime, stronger negative conditions in red, and neutral or transitional states in orange. The script also includes an option to color the actual chart candles with the same colors as the histogram, so traders can see Donchian-based pressure directly on the main price chart without constantly looking down at the lower pane. The indicator works on completed bars using standard highest/lowest and moving average functions, so it behaves like a normal oscillator and does not use any lookahead tricks. It is best used as a contextual tool to gauge whether price is pushing to the edges of its recent range or reverting toward balance, and to visually synchronize that information with candle colors when desired.
Relative Volume EMA (RVOL)Relative Volume EMA (RVOL) measures the current bar’s volume relative to its typical volume over a selected lookback period.
It helps traders identify whether a price move is supported by real participation or if it’s occurring on weak, low-quality volume.
This version uses:
RVOL = Current Volume ÷ Volume EMA
Volume EMA Length: adjustable
Signal Threshold: a customizable horizontal line (default = 1.2)
How to Use
1. RVOL > 1.2 → High-Quality Momentum
A value above 1.2 indicates that the current bar has at least 20% more volume than normal, suggesting:
Strong conviction
Algorithmic activity
Momentum-backed breakout or breakdown
Higher probability trend continuation
These bars are ideal for confirming entries after a technical setup (e.g., pullback, engulfing pattern, Ichimoku trend confirmation, etc.).
2. RVOL < 1.0 → Weak or Low-Quality Move
When RVOL is below 1.0:
Volume is below average
Moves are more likely to fail or reverse
Breakouts are unreliable
Triggers lack institutional participation
These bars are best avoided for trade entries.
Why This Indicator Is Useful
In many strategies, price alone is not enough.
RVOL acts as a filter to ensure that your signals occur during times when the market is actually active and committed.
Typical use cases:
Confirm trend-following entries
Validate pullbacks and breakout candles
Filter out low-volume chop
Identify session-based volume surges
Improve risk-to-reward quality by entering only during true momentum
Recommended Settings
EMA Length: 20
Threshold Line: 1.2
Works well on Forex, Crypto, and Indices
Best used on 15m, 30m, 1H, and 4H charts
Magic Swing Suite: Trend, Pullback & Risk DashboardMagic Swing Suite: Trend, Pullback & Risk Dashboard
This indicator is a complete Swing Trading System designed to identify high-probability trend continuation setups. It combines classic trend-following principles with a unique "3-Bar Retest" logic and provides a real-time Strategy Dashboard to help you manage positions without needing a separate strategy script.
How it Works:
The system looks for a "Confluence" of factors before generating a signal. It scores every bar out of 140 points based on the following criteria:
Trend Alignment: Price must be above EMA 10, and EMA 10 must be above EMA 20.
Momentum (RSI): RSI must be in the "Bullish Control Zone" (60-80) and above its SMA.
Volume: Volume must be significantly higher than the average (1.5x by default).
The "Magic" Retest: The script checks the last 2-5 bars to see if the price has pulled back to "kiss" the EMA 10. This ensures we are buying a dip in a trend, not chasing a top.
Breakout Confirmation: Checks for Darvas Box breakouts and price position relative to Pivot R1.
Features:
🎯 Virtual Strategy Dashboard: A table that mimics a strategy tester. It tracks Entry, Stop Loss (Trailing), Target 1, and Target 2 in real-time.
📊 Confluence Scorecard: A detailed table showing exactly why a signal was (or wasn't) generated (Trend, Retest, RSI, Volume, etc.).
🛡️ Risk Management: automatically calculates a Trailing Stop (EMA 10) and fixed Risk:Reward targets based on recent highs.
📉 Multi-Layered Overlays: Includes Auto-Pivots (Traditional, Fib, Woodie, etc.) and Darvas Boxes to identify support/resistance levels.
How to Use:
Wait for a Signal:
"FULL BUY SIGNAL" (Green): All conditions are met, including a recent retest of the EMA. This is the highest probability setup.
"BUY - NO RETEST" (Orange): Trend and momentum are strong, but price hasn't pulled back recently. Use caution, as this may be a breakout trade.
Monitor the Dashboard: Once a trade is active, the dashboard will change to "IN POSITION." Follow the "Action" row.
If the trend weakens, the Trailing Stop (EMA 10) will move up to protect profits.
Targets:
T1: Previous Swing High (or 5% if no high found).
T2: 1:1.6 Risk/Reward extension.
Settings:
Volume Spike Factor: Adjust how much volume is needed to confirm a move. Default is 1.2.
Retest Tolerance: Adjust how close the price needs to get to the EMA 10 to count as a "retest."
Dashboard Toggles: You can hide the tables if you prefer a clean chart.
Pivot Timeframes: customizable lookback for S/R levels.
FAQ:
Does this repaint?
No. All signals trigger only on confirmed bars.
Can I use this intraday?
Yes. Works great from 5m to 1D.
Are exits manual or automated?
The indicator tracks SL, T1, and T2, and marks them on the chart.
Does retest affect the buy signal?
Retest is optional. The buy logic does not require it, but adds weight to the score.
Disclaimer: This tool is for educational purposes only. The "Strategy Dashboard" is a simulation based on script calculations and does not execute real trades. Always manage your own risk.
LPC Rebate HunterLPC Rebate Hunter Version 1.3.5
From Static to Dynamic Momentum: Replaced the rigid RSI filter with a Multi-Engine Oscillator (WaveTrend, MFI, or RSI), allowing for smoother cycle detection.
From "Pivots" to "Smart Structure": The liquidity engine now detects Swing Failure Patterns (SFP)—identifying when price "pokes" a level to trap traders before reversing—and automatically cleans up mitigated zones.
Choppy Market Protection: Added an ADX (Average Directional Index) integration to strictly filter out signals during flat/sideways markets.
Risk Management Layer: Introduced a Smart Trailing Stop (ATR-based Chandelier Exit) to help traders manage active positions objectively.
Visual Overhaul: Features a modern gradient trend cloud and a fully adaptive "Heads-Up Display" (HUD) that provides real-time market stats.
Regime MapRegime Map — Volatility State Detector
This indicator is a PineScript friendly approximation of a more advanced Python regime-analysis engine.
The original backed identifies market regimes using structural break detection, Hidden-Markov Models, wavelet decomposition, and long-horizon volatility clustering. Since Pine Script cannot execute these statistical models directly, this version implements a lightweight, real-time proxy using realised volatility and statistical thresholds.
The purpose is to provide a clear visual map of evolving volatility conditions without requiring any heavy offline computation.
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Mathematical Basis: Python vs Pine
1. Volatility Estimation
Python (Realised Volatility):
RVₜ = √N × stdev( log(Pₜ) − log(Pₜ₋₁) )
Pine Approximation:
RVₜ = stdev( log(Pₜ) − log(Pₜ₋₁), lookback )
Rationale:
Realised volatility captures volatility clustering — a key characteristic of regime transitions.
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2. Regime Classification
Python (HMM Volatility States):
Volatility is modelled as belonging to hidden states with different means and variances:
State μ₁, σ₁
State μ₂, σ₂
State μ₃, σ₃
with state transitions determined by a probability matrix.
Pine Approximation (Z-Score Regimes):
Zₜ = ( RVₜ − mean(RV) ) / stdev(RV)
Regime assignment:
• Regime 0 (Low Vol): Zₜ < Zₗₒw
• Regime 1 (Normal): Zₗₒw ≤ Zₜ ≤ Zₕᵢgh
• Regime 2 (High Vol): Zₜ > Zₕᵢgh
Rationale:
Z-scores provide clean statistical boundaries that behave similarly to HMM state separation but are computable in real time.
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3. Structural Break Detection vs Rolling Windows
Python (Bai–Perron Structural Breaks):
Segments the volatility series into periods with distinct statistical properties by minimising squared error over multiple regimes.
Pine Approximation:
Rolling mean and rolling standard deviation of volatility over a long window.
Rationale:
When structural breaks are not available, long-window smoothing approximates slow regime changes effectively.
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4. Multi-Scale Cycles
Python (Wavelet Decomposition):
Volatility decomposed into long-cycle (A₄) and short-cycle components (D bands).
Pine Approximation:
Single-scale smoothing using long-horizon averages of RV.
Rationale:
Wavelets reveal multi-frequency behaviour; Pine captures the dominant low-frequency component.
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Indicator Output
The background colour reflects the active volatility regime:
• Low Volatility (Green): trending behaviour, cleaner directional movement
• Normal Volatility (Yellow): balanced environment
• High Volatility (Red): sharp swings, traps, mean-reversion phases
Regime labels appear on the chart, with a status panel displaying the current regime.
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Operational Logic
1. Compute log returns
2. Calculate short-horizon realised volatility
3. Compute long-horizon mean and standard deviation
4. Derive volatility Z-score
5. Assign regime classification
6. Update background colour and labels
This provides a stable, real-time map of market state transitions.
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Practical Applications
Intraday Trading
• Low-volatility regimes favour trend and breakout continuation
• High-volatility regimes favour mean reversion and wide stop placement
Swing Trading
• Compression phases often precede multi-day trending moves
• Volatility expansions accompany distribution or panic events
Risk Management
• Enables volatility-adjusted position sizing
• Helps avoid leverage during expansion regimes
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Notes
• Does not repaint
• Fully configurable thresholds and lookbacks
• Works across indices, stocks, FX, crypto
• Designed for real-time volatility regime identification
________________________________________
Disclaimer
This script is intended solely for educational and research purposes.
It does not constitute financial advice or a recommendation to buy or sell any instrument.
Trading involves risk, and past volatility patterns do not guarantee future outcomes.
Users are responsible for their own trading decisions, and the author assumes no liability for financial loss.






















