Universal Po3 Profiler [Pro +] | cephxsUNIVERSAL Po3 PROFILER 🧪
All concepts used in the development of this indicator are open source and available to all on youtube.
Credits go out to Michael J. H. (ICT) as the one putting it out there for all.
A refined approach to multi-timeframe structural analysis. Clean visuals. Precise signals. Nothing more than what matters.
OVERVIEW
Built for traders who value clarity over complexity, this profiler distills institutional price delivery concepts into a visually cohesive overlay. It maps higher timeframe structure directly onto your chart while detecting key divergence patterns across correlated assets.
The design philosophy is intentional minimalism—every element earns its place on your chart. No redundant indicators. No visual noise. Just the structural context you need to frame your trading decisions.
📷 Full indicator overview showing HTF candles, CISD lines, and SMT divergences on a 5m YM chart
CORE FEATURES
🧪 Multi-Timeframe Profiling
Automatically profiles up to three higher timeframes based on your chart's resolution. The system intelligently selects appropriate HTF pairings—or lets you override with manual control. 0 stress, minimal input overload.
Auto Mode: Adapts HTF selection to your chart timeframe
Profiler Source: Choose which HTF defines your structural boundaries
Directional Bias: Filter profiling to bullish or bearish setups only
📷 Side-by-side comparison; Auto mode on 5m chart vs 15m chart showing different HTF selections
🔀 SMT DIVERGENCE DETECTION
Identifies Smart Money divergences between correlated assets in real-time. When the primary asset makes a structural move that correlated pairs fail to confirm by moving in-sync, the system flags potential reversals.
Tracks divergences across multiple HTF sessions
Supports both normal and inverse correlations
Independent chart and HTF candle visualization
Automatic invalidation when divergence resolves
Configurable asset pairs with correlation library integration that is updated regularly
📷 SMT divergence example, ES vs YM showing bearish divergence at session highs
📐 CISD DETECTION & FIBONACCI PROJECTIONS
Change in State of Delivery (CISD) marks the moment price starts to deliver in the opposing direction of where it previously went. The system identifies these pivotal transitions and projects optional Fibonacci extensions to map potential price targets.
Automatic stretch calculation from opposing candle sequences
Confirmation-based detection (not predictive)
Fibonacci projections with customizable levels (-1 to -4.5)
Size filtering to eliminate noise on smaller moves
Visual invalidation when structure breaks
📷 Confirmed CISD with Fibonacci projection levels (other features disabled to highlight)
📷 Multiple CISDs showing bullish and bearish examples simultaneously
🎯 MANIPULATION AREA PROFILING
Detects sweep-and-reversal sequences within HTF candle boundaries. The profiling system identifies when price sweeps the immediate previous candle's extreme then confirms directional commitment after a candle close.
How the manipulation area is calculated (it is not a magic level, it's a simple division : ) )
For C3 : is measured from the Open of C3 to the quadrant C.E of C2
For C4 : is measured from the Open of C4 to the Upper Quadrant (25/75) of C3.
All Based on openly-sourced ICT Concepts
Po3 area visualization on profiler HTF
Sweep line tracking at structural levels
C1/C2/C3 phase progression
Bias filtering for directional focus
📷 Manipulation area highlighting Po3 zone with sweep lines
HTF CANDLE VISUALIZATION
Projects higher timeframe candles to the right of your chart, providing structural context without cluttering price action. Full credit for the base logic used in building this goes to @fadizeidan.
Up to 3 HTF layers with independent candle counts
PSP (Precision Swing Point) divergence detection on candles
Clean, adjustable styling
Session labels with countdown timers
INPUTS
Directional Bias
Po3 Profiling Bias: Auto / Bullish / Bearish — filters manipulation area detection
CISD/SSMT Bias: Auto / Bullish / Bearish — filters divergence detection
HTF Configuration
Auto Mode: Enabled by default. Automatically configures HTF timeframes
HTF 1/2/3: Manual timeframe selection when Auto Mode disabled
Profiler Source: Which HTF defines profiling boundaries
SMT Settings
Enable SMT: Master toggle for divergence detection
Show on Chart: Render divergence lines on price chart
Show on HTF Candles: Render divergence lines on HTF candle visuals
Asset Selection: Configure correlated pairs and inversion settings
CISD Settings
Show CISD: Enable change in state detection
Fibonacci Projections: Enable extension level plotting
Level Configuration: Toggle individual fib levels (-1 through -4.5)
Profiler Status Bar
Position: 9 positions including center options
Styling: Size, bold toggle, custom colors
---
RECOMMENDED USAGE
Start with Auto Mode enabled to learn the HTF relationships
Set your directional bias if you have a higher timeframe thesis
Watch for SMT divergences at session extremes
Use CISD confirmations to identify structural shifts
Reference Fibonacci projections for potential targets
Optimal Timeframes:
Scalping: 1m-3m charts (profiles to 15m-90m)
Intraday: 5m-15m charts (profiles to 1H-4H / Optionally 6H)
Swing: 1H-4H charts (profiles to Daily-Weekly)
---
CORRELATED ASSETS
The SMT system works with major correlations including:
Index Futures: CME_MINI:ES1! , CME_MINI:NQ1! , CBOT_MINI:YM1!
Forex Majors: FOREXCOM:EURUSD , FOREXCOM:GBPUSD , TVC:DXY
Crypto: BINANCE:BTCUSDT , BINANCE:ETHUSDT
Crypto Futures: CME:BTC1! , CME:ETH1!
---
NOTES
This version does not include alert conditions. Visual-first design.
It will be easier to understand if you have a preliminary knowledge of the concepts beforehand
This is not a learning instrument on it's own and could have bugs, Know it for yourself so you can identify bugs if any.
---
DISCLAIMER
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, and no representation is made regarding future performance.
Trading involves substantial risk of loss. Always conduct your own analysis and use proper risk management. Past structural patterns do not guarantee future price behavior.
---
CREDITS
Inspiration and HTF candle plotting boilerplate: @fadizeidan
Asset correlation library: fstarcapital
Development: cephxs & fstarcapital
---
CHANGELOG
v1.0: Initial Pro+ release — SMT divergences, CISD detection, multi-HTF Po3 profiling
المؤشرات والاستراتيجيات
Vel-SIGThis pine script will give you an idea about the markets are in trending or rangebound. based on this you can take your decision whether you can buy or sell or right option.
34L0TINV327INGEMA CISD HTF Confirmation is a visual TradingView indicator designed to support structured, rule-based market analysis using EMA alignment and CISD-style confirmation. The indicator highlights higher-timeframe bias and momentum conditions to help traders follow predefined rules and reduce discretionary decision-making.
This tool is intended for analytical and educational purposes only. It does not provide trade signals, predictions, or guarantees. Access is provided on an invite-only basis.
Stationary Notes (Paragraph Box)This indicator helps you journal and notate any analysis’s you’ve made and display them while remaining stationary.
BT Session VP & VolatilityBT Session VP v0.6 is a professional-grade Session Volume Profile designed for futures, index, and intraday traders who need clean, accurate session structure without clutter.
This tool builds a true volume distribution for each trading session using lower-timeframe data, detects high- and low-volume nodes, and tracks a dynamic Point of Control (POC) to help traders identify balance, acceptance, and trend conditions in real time.
• Index futures, session-based crypto trading
• Intraday equity index trading
• Momentum scalping with session context
• Auction market theory workflows
Features
• True session-based volume profile (RTH or ETH)
• Futures-correct ETH handling (18:00–17:00 session)
• Hard session fencing — no volume bleed between sessions
• Lower-timeframe volume aggregation for accuracy
• Dynamic Point of Control (POC) tracking
• High Volume Nodes (HVN) and Low Volume Nodes (LVN)
• Live session and prior session profiles
• Optional volatility-weighted volume
• Fully customizable colors, opacity, and labels
**Volatility-Weighted Volume** is an optional feature that adjusts how volume contributes to the session profile based on current market volatility.
Instead of treating all volume equally, BT Session VP can weight volume more heavily during periods of expansion and less during periods of compression.
When volatility weighting is enabled:
• If volatility is above its recent average, volume is amplified; below volume is dampened
• The strength of this effect is controlled by a user-defined multiplier
• Volatility weighting does not change price levels, Iit does not introduce signals or repainting. It only affects how volume contributes to the distribution
• The feature can be disabled at any time for a traditional volume profile
The Point of Control is calculated dynamically as the session evolves.
• If the POC remains stable for N bars, the market is considered balanced
• If the POC shifts upward, it reflects bullish acceptance
• If the POC shifts downward, it reflects bearish acceptance
• POC color changes automatically based on these conditions
This allows traders to quickly distinguish between balance, rotation, and trend days.
• HVN represent price levels where the market previously accepted value
• LVN represent areas of rejection or inefficiency
Nodes are filtered using:
• Local dominance logic
• Minimum separation (prevents clustering)
These levels often act as:
• Support / resistance
• Acceptance or rejection zones
• Rotation targets during balance
How traders use BT Session VP
• Identify balance vs trend days early
• Use POC direction to confirm market regime
• Trade rotations between HVNs during balance
• Fade LVNs during rejection
• Use prior session nodes as reaction levels
• Combine with momentum tools for confirmation
This indicator is designed to provide context , not signals.
It works best when combined with execution tools, order flow, or momentum confirmation.
Open Interest Bubbles [BackQuant]Open Interest Bubbles
A visual OI positioning overlay that aggregates futures open interest across major venues, normalizes it into a consistent “signal strength” scale, then plots extreme events as bubbles, labels, and optional horizontal levels directly on price.
What this is for
Open interest is one of the cleanest ways to track when positioning is building, unwinding, or aggressively shifting. The problem is raw OI is noisy, exchange-specific, and hard to compare across time. This script solves that by:
- Aggregating OI across multiple exchanges.
- Letting you choose what “OI signal” you care about (raw, delta, percent versions).
- Normalizing the signal so “big events” are easy to spot.
- Plotting those events as bubbles and levels at the exact price they occurred.
You end up with a clean, fast visual map of where large positioning changes occurred, and where those events may later matter as reaction points.
────────────────────────────────────────────────────────────
Plotting types (what you can display)
Bubbles
This mode plots OI events as size-bucketed circles on the chart. Bigger bubbles represent stronger normalized events. You can tune:
- Bubble sizing by bucket (Tiny → Huge).
- Heatmap vs solid color styling.
- Signed vs unsigned coloring (positive/negative separation or magnitude-only).
Best use:
- Spotting “where something changed” at a glance.
- Identifying clusters of positioning events around key price zones.
- Seeing whether the market is repeatedly building/closing positions at similar levels.
Levels
Levels mode draws a horizontal line at the anchor price when an extreme OI event triggers. These act like “positioning memory” levels:
- They do not claim to be support/resistance by themselves.
- They highlight prices where the derivatives market clearly did something meaningful.
Best use:
- Marking potential reaction zones.
- Combining with your price action tools (structure, OBs, FVGs) to confirm whether an OI level aligns with a technical level.
- Building a “map” of where leverage likely entered or exited.
Modes available in the script:
- Off
- Bubbles
- Bubbles + Labels
- Labels Only
- Levels + Labels
────────────────────────────────────────────────────────────
Aggregated Open Interest source (multi-exchange)
This indicator builds a single aggregated OI series by requesting OI data from multiple exchanges and summing it. You can toggle exchanges on/off:
- Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit
You can also choose OI units:
- COIN , OI in base units (native sizing)
- USD , converted for a dollar-value representation
Important note:
Not every symbol has OI data on every venue. If the script cannot build an aggregated series for the symbol, it will throw an error rather than quietly plotting garbage.
────────────────────────────────────────────────────────────
OI Source, what the bubbles are measuring
You control what “signal” is normalized and plotted:
- Delta , change in aggregated OI from the prior bar.
Use when you want to highlight bursts of new positioning or sudden unwind events.
- Raw OI , the aggregated open interest level itself.
Use when you want to highlight absolute positioning build-up periods.
- Delta % , percent change in OI.
Use when you want moves normalized to the current OI regime, useful across different market eras.
- Raw OI % , percent change form of the raw series.
Use when you want relative changes rather than absolute size.
Practical guidance:
- Delta modes are best for “event detection”.
- Raw modes are better for “regime context” and whether positioning is structurally rising or fading.
────────────────────────────────────────────────────────────
Normalization (the key to making it readable)
Because OI varies massively across assets and time, the script includes multiple normalization modes to convert your chosen OI source into a comparable “strength” value.
Options:
- ZScore , deviation from a rolling mean in standard deviation units.
- StdNorm , scaled by rolling standard deviation.
- AbsZScore , absolute value version for magnitude-only mapping.
- AbsStdNorm , absolute value version for magnitude-only mapping.
- None , plots raw values (advanced users only, often too noisy visually).
Why this matters:
Normalization makes a “1.5” or “3.0” threshold mean something across different assets and timeframes, instead of being stuck to raw OI units.
────────────────────────────────────────────────────────────
Threshold system (when bubbles/levels trigger)
The plot is driven by two user thresholds:
- Base Threshold
Controls where “meaningful” events start. Raising this reduces noise and focuses on larger deviations.
- Extreme Threshold
Controls what qualifies as a top-tier event. Extreme events are what you typically want to convert into labels and levels.
You also control side filtering:
- Both , show positive and negative events.
- Positive Only , show only increases (or positive signal side depending on source).
- Negative Only , show only decreases (or negative signal side).
In practice:
- Use Base Threshold to tune chart cleanliness.
- Use Extreme Threshold to mark only the “big stuff” that tends to matter later.
────────────────────────────────────────────────────────────
Anchor Source (where the bubble/level is placed)
The indicator places bubbles, labels, and levels at a price anchor you choose:
- HL2, Close, Open, High, Low, VWAP
This is important because “where you pin the event” changes how it reads:
- Close is clean and consistent for backtesting and candle-close logic.
- High/Low can better represent where the fight occurred intrabar.
- VWAP can be useful for “fair price” anchoring in active markets.
────────────────────────────────────────────────────────────
Style system (theme, palette, signed logic)
This script is built to look good and stay readable on busy charts.
Themes
- BackQuant, Classic, Ice, Fire, Mono, Custom
Palette Mode
- Solid , one consistent color
- Heatmap , intensity increases with magnitude
- Single Color Adaptive , adapts to chart background for clarity
Side Coloring
- Signed , positive and negative events can use different ramps
- Unsigned , magnitude-only coloring
Negative theme handling:
- Auto (mirrors your chosen theme),
- Invert (flips the ramp),
- Custom (fully user-defined negative palette).
What this gives you:
- You can run a clean “mono” look for professional charts.
- Or a high-contrast heatmap for fast scanning.
- Or fully custom branding colors for BackQuant-style presentation.
────────────────────────────────────────────────────────────
Labels (what’s inside the label)
When labels are enabled, the script can display:
- OI , the aggregated OI value
- OI + Norm , OI plus normalized strength
- Norm Only , just the normalized strength
- Src + Norm , the selected source value (Delta, Raw, %) plus normalized strength
You can also control:
- Left/Center/Right label alignment
- Number formatting style (Raw, Compact, Volume format)
Best practice:
- Use “Src + Norm” when you want both the raw event size and its rarity.
- Use “Norm Only” when you want a clean, minimal chart.
────────────────────────────────────────────────────────────
Levels and object limits (performance and cleanliness)
Because this script draws objects, it includes a hard cleanup system:
- You set Max Levels / Labels to control chart clutter.
- The script deletes older lines/labels when the limit is exceeded.
This is critical if you trade lower timeframes, where OI events can trigger frequently.
────────────────────────────────────────────────────────────
How to interpret the signals
What a large bubble usually means:
- A statistically large positioning change relative to recent history.
- This can represent fresh leverage entering, forced liquidations, or aggressive de-risking, depending on direction and context.
How to use levels:
- Treat them as “attention levels”, not automatic entries.
- Combine them with structure and liquidity tools:
- If price revisits an OI level and shows rejection, it often confirms that level mattered.
- If price slices through with no reaction, it often indicates the OI event was transitional, not defended.
Common setups:
- Clustered extreme bubbles near a breakout zone, then retest later.
- Extreme negative event at capitulation low, followed by structure flip.
- Extreme positive build into resistance, then unwind and mean reversion.
Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source!
Here is the original script:
Explosive Candle Detector [CodeAlchemyLab]Explosive Candle Detector
This indicator identifies potential high-momentum trading opportunities by detecting explosive candles that form after consolidation periods (base candles).
How It Works:
The indicator uses a two-candle pattern system:
Base Candle (Boring): A consolidation candle where the wicks are larger than the body, indicating indecision and potential accumulation/distribution by smart money. This represents a compression phase where price is being absorbed.
Explosive Candle: A momentum candle that appears immediately after a base candle, with a size at least 50% larger than the base candle. This represents an expansion phase where price breaks out with strong directional movement.
Features:
• Detects bullish explosive candles (green markers below candle)
• Detects bearish explosive candles (red markers above candle)
• Highlights base candles with background color
• Customizable explosive threshold (default: 50% size increase)
• Clean visual signals for easy pattern recognition
Trading Applications:
• Supply and Demand zone identification
• Breakout confirmation signals
• Momentum trade entries
• Order block detection
• Smart money accumulation/distribution phases
Best Used With:
Support/resistance levels, trend analysis, and volume confirmation for optimal trade setups.
Parameter:
Boring Candle Parameters:
1. Min wick ratio (0.6 = 60%): The total wicks (upper + lower) must be at least 60% of the candle's total range. Higher values = more wick required, meaning the candle is more "indecisive" with long wicks.
2. Max body ratio (0.4 = 40%): The body must be at most 40% of the candle's total range. Lower values = smaller body required, confirming the candle is mostly wicks with a small body.
Example: If candle range is 100 pips, wicks must be ≥60 pips and body must be ≤40 pips.
──────────────────────────────────────────
Explosive Candle Parameters:
3. Min size vs Boring (1.5 = 150%): The explosive candle must be at least 1.5x (or 50% bigger) than the boring candle's range. If boring candle is 100 pips, explosive must be ≥150 pips.
4. Min body ratio (0.5 = 50%): The explosive candle's body must be at least 50% of its total range. This ensures it's a strong directional move with a large body, not just wicks.
──────────────────────────────────────────
In Simple Terms:
• Boring candle = Big wicks, small body (consolidation/indecision)
• Explosive candle = Big body, much larger than boring candle (strong directional move)
EHMA 28EHMA 28 — Adaptive Hull Moving Average
EHMA 28 is a precision-tuned Hull Moving Average designed to deliver fast trend recognition with minimal lag, while maintaining a clean, uncluttered charting experience.
This indicator enhances the traditional HMA by introducing adaptive speed control, flexible price sourcing, and multiple moving-average calculation modes, allowing traders to fine-tune responsiveness based on market conditions and personal trading style.
🔹 Key Features
Adaptive Hull Moving Average (HMA)
Smooths price action while reacting quickly to trend shifts
Reduces lag commonly found in traditional moving averages
Speed Control
Adjust the internal responsiveness of the HMA to suit ranging or trending markets
Multiple Price Sources
Close, Open, High, Low, HL2, HLC3, OHLC4
Selectable MA Engine
SMA, EMA, WMA, or TEMA-style behavior for internal calculations
Dynamic Trend Coloring
Automatically changes color based on directional slope
Bullish and bearish conditions are visually distinct at a glance
Clean Overlay Design
Plots directly on price with customizable line width and colors
Designed for discretionary trading and system integration
🔹 How to Use
EHMA 28 is best used as:
A trend bias filter
A dynamic support/resistance guide
A confirmation layer within multi-timeframe or rule-based strategies
Rising slope indicates bullish pressure, while a falling slope reflects bearish pressure. Color changes help identify momentum shifts without relying on lagging crossover signals.
🔹 Intended Audience
This indicator is designed for:
Traders who value clarity over clutter
Users building rule-based or discretionary systems
Traders looking for a reliable trend structure tool rather than a signal generator
Strat Structure Engine 3-F2 Tiered Strat Structure Engine – 3→F2 Tiered Dashboard
Overview
The Strat Structure Engine – 3→F2 Tiered Dashboard is a structure-focused indicator built on The Strat methodology, designed to identify, score, and tier high-quality 3 → Failed 2 (3→F2) structural failures in real time.
Rather than treating all Failed 2s equally, this script evaluates structure strength, volatility, volume participation, and candle quality, producing a tiered signal system that helps traders prioritize only the most meaningful setups.
This indicator is intended for traders who want objective structure validation, not subjective pattern guessing.
Core Concepts
This script focuses on three-bar structure transitions, specifically:
3 → Failed 2 (3→F2)
Supporting context via 3→1 and 1→3 structural sequences
Optional Inside Bar detection for compression awareness
The primary edge comes from grading the quality of the 3→F2, not merely detecting it.
3→F2 Tiered Scoring System
When a confirmed 3-bar is followed by a strict Failed 2, the script assigns a numeric score (0–8) based on four objective components:
1. Three-Bar Structure Quality
Measured using ATR-based range expansion:
Large expansion relative to ATR receives higher scores
Ensures the setup originates from meaningful volatility, not noise
2. Failed 2 Close Quality
Evaluates where price closes relative to the midpoint of the prior 3-bar:
Strong closes through the midpoint score higher
Weak or indecisive closes are downgraded
3. Body Dominance
Measures the body-to-range ratio of the Failed 2 candle:
Large, decisive bodies indicate real participation
Wicks and indecision reduce the score
4. Relative Volume Confirmation
Compares current volume against a moving average baseline:
Elevated volume confirms acceptance
Low volume reduces conviction
Tier Classification
Based on the total score, each valid 3→F2 is classified into a tier:
A+ Tier → Exceptional structure, volatility, and participation
A Tier → High-quality, trade-worthy setup
B Tier → Valid but lower-confidence structure
Below Threshold → Ignored (filtered out)
Only setups meeting a minimum quality threshold are labeled, helping reduce chart clutter and overtrading.
Visual & Dashboard Features
Clear directional labels plotted above or below bars
Tier designation and score display (e.g., 6/8)
Configurable toggles for:
Failed 2 labels
3→1 and 1→3 sequence labels
Inside Bar labels
3→F2 tier labels
Designed to work cleanly across all timeframes and instruments
Intended Use
This indicator is best used as:
A structure qualification layer, not a standalone entry trigger
A tool to rank setups, not force trades
Confirmation alongside:
Key levels (VWAP, Value Area, prior highs/lows)
Order flow or delta tools
Session context (RTH, Globex, IB)
What This Indicator Is Not
Not a prediction tool
Not a signal that guarantees outcome
Not a replacement for risk management
It objectively answers one question only:
“Is this 3→Failed 2 structurally strong enough to matter?”
Ai Kavach by Pooja v16✅ Fakeout Kavach by Pooja — Smart Fake Breakout Protector
Fakeout Kavach is designed to help traders understand when a breakout is strong and when it is likely to be a trap.
It works as a confirmation and filtering system, giving you a clear view of market strength, momentum, volume pressure, and potential reversal signs — without providing buy/sell recommendations.
This is a support tool for traders who want cleaner entries, fewer trap trades, and better clarity in fast-moving markets.This tool adds an intelligent multi-layer confirmation system on your chart so you can quickly understand:
✔ When the breakout is real
✔ When the market has strength
✔ When momentum is fading
✔ And when you should simply avoid the move
It doesn’t give buy/sell calls.
Instead, it helps you decide “Should I trust this move or not?”
⭐ Core Features (Explained in Simple Language)
🔹 1. Fake Breakout Filter (RSI + MA Logic)
Fakeouts often happen when price shows strength but momentum does not.
This module checks:
RSI strength
RSI–MA crossover behaviour
Momentum direction
Push/rejection zones
📌 Benefit:
Quickly see if the breakout has real strength behind it or it’s just a trap candle.
🔹 2. Trend Strength Filter (ADX Protection)
Most traders lose money in sideways markets.
ADX Filter helps you understand whether the market actually has trend strength or not.
📌 Benefit:
Avoid taking trades when the market is weak, choppy, or directionless.
Only focus on moves backed by strength.
🔹 3. SB/SS Smart Confirmation
SB (Strong Break) and SS (Strong Slide) confirmations highlight alignment between:
Momentum
Trend
Strength
RSI structure
📌 Benefit:
Cleaner entries, fewer false triggers, and more confidence in the move you take.
🔹 4. Divergence Detection (RSI Based)
Catches early signs of:
Bullish reversal
Bearish reversal
Exhaustion at highs/lows
📌 Benefit:
Helps you avoid entering at the worst possible points and improves exit timing.
🔹 5. VAD Module (Volume + ATR + Delta Pressure)
Fake moves usually have weak volume or no volatility.
This module checks:
Volume strength
Volatility (ATR)
Buying/selling pressure (Delta)
📌 Benefit:
Helps you understand whether the breakout is backed by real buyer/seller pressure.
🔹 6. Session Protection
Opening candles can be noisy and unpredictable.
Session block lets you avoid signals during high volatility windows.
📌 Benefit:
No more taking wrong entries during the rush at market open.
🔹 7. Fully Modular – Use Only What YOU Need
Every feature has its own ON/OFF switch.
You can create your perfect setup by enabling only what you prefer.
📌 Benefit:
Suitable for scalpers, intraday traders, swing traders, and even beginners.
🎨 Customization Power — Fully Modular Design
✔ Every section of Fakeout Kavach has its own ON/OFF toggle:
✔ Turn RSI visuals on/off
✔ Enable or disable MA & fills
✔ Activate or hide divergences
✔ Use or ignore ADX trend filter
✔ Show or hide SB/SS signals
✔ Enable or disable session block
✔ Choose label style, shapes, colors, sizes
✔ Keep chart clean or run full analysis mode
✔ You decide what appears.
✔ You control the complexity.
✔ One indicator fits all types of traders.
🌍 Works Across All Markets
✔ Stocks
✔ Crypto
✔ Forex
✔ Commodities
✔ Indices
All timeframes from scalping to swing trading.
⭐ What This Indicator Helps You With
Avoiding trap candles
✔ Understanding when a move is strong or weak
✔ Filtering bad breakouts
✔ Confirming market structure with momentum
✔ Spotting reversal signs early
✔ Building confidence in your entries
✔ Staying out of sideways/no-volume zones
🛠 Support
For indicator-related questions, clarification, or feature suggestions, you can contact the creator through TradingView’s comment section or direct message.
⚠ Disclaimer (TradingView Policy Safe)
This indicator does not provide buy/sell signals, does not predict market movements, and does not guarantee results or profitability.
It is a technical analysis tool intended to assist traders in making their own trading decisions.
Always use proper risk management and follow your own trading plan.
Sigma Trinity ModelSigma Trinity Model
Sigma Trinity Model is a modular market-structure and risk-management framework designed for clarity, discipline, and real-time execution.
The model is built around three tightly integrated components that work together to define structure, continuation, and risk control — without relying on prediction, repainting, or hindsight logic.
1. Rasta Engine — Structural State
The Rasta Engine defines the core market regime using real-time EMA structure:
Identifies LONG and SHORT states based on directional structure
Uses optional EMA 8/21 filtering for trend alignment
Designed to operate intrabar with bar-close confirmation
One state change per move (no signal spam)
Rasta acts as the primary decision layer of the system.
2. Pyramid Module — Continuation & Scaling
The Pyramid Module is an optional continuation component:
Only activates when the Rasta Engine is already in a LONG state
Designed for controlled position scaling during sustained momentum
Fully optional and toggleable
Does not override or conflict with the core Rasta state
This module allows users to participate more fully in strong trends while maintaining structure discipline.
3. Risk Engine — Unified Fixed & Trailing Stops
Sigma Trinity includes a built-in Risk Engine that manages exits using a unified approach:
Fully adjustable fixed stop and trailing stop logic
Independent controls for LONG and SHORT risk
Unified exit behavior (all stop logic resolves to a single EXIT event)
Designed for compatibility with automation tools such as GoodCrypto
The system does not expose internal stop mechanics to the user — all exits are handled cleanly and consistently to reduce error and confusion.
About RSI Extremes (Companion Indicator)
Sigma Trinity Model is intentionally focused on execution and risk control.
For traders who want additional context around exhaustion, pressure, and timing, RSI Extremes is provided as a separate companion indicator.
RSI Extremes:
Displays in its own lower pane
Uses RSI of HIGH and LOW to visualize pressure extremes
Provides ENTER / EXIT context markers
Does not open or close trades
Does not interfere with Sigma Trinity execution logic
Keeping RSI Extremes separate ensures:
Clear visual interpretation
Cleaner execution logic
Greater flexibility for users who prefer different confirmation tools
This separation is intentional and allows each component to remain focused on its specific role.
Important Notes
Sigma Trinity Model is an execution framework, not a prediction system.
No indicator can guarantee results; proper risk management is essential.
Users should test and understand the model before applying it in live environments.
RSI Extremes is optional and not required for Sigma Trinity to function correctly.
Summary
Sigma Trinity Model is designed for traders who value:
Structural clarity over noise
Risk control over prediction
Modular systems over monolithic indicators
Used together, Sigma Trinity Model and RSI Extremes provide a clear, disciplined way to observe market structure, manage positions, and understand context — while remaining transparent, stable, and adaptable.
AI Brahmastra with SMC by Pooja V22🚀 AI Brahmastra with SMC by Pooja v22
Invite-Only | Rule-Based Market Structure & Momentum Indicator
📌 What this indicator is (clear definition)
AI Brahmastra with SMC v22 is a closed-source, rule-based technical analysis indicator designed to filter low-quality market conditions and highlight high-probability structural and momentum alignment.
It is not a strategy, does not execute trades, and does not provide fixed targets or stop-losses.
The indicator functions strictly as a decision-support tool, where signals appear only after all predefined rules are satisfied on a confirmed candle close.
The primary objective is signal validation and rejection, not signal frequency.
🎯 Intended Use & Markets
Designed for traders who focus on:
Market structure (SMC)
Trend alignment
Momentum & volatility confirmation
Intraday and positional analysis
Optimised for:
Indian equity markets
Index derivatives (NIFTY, BANKNIFTY, FINNIFTY)
NSE stocks
Futures & commodities
🧠 What “AI” means in this indicator (important clarification)
The term “AI” does NOT refer to machine learning, prediction, or data fitting.
In this script, AI refers to a rule-driven decision engine that:
Evaluates multiple independent conditions simultaneously
Uses state-based logic (past signal state affects future eligibility)
Actively rejects signals unless context, momentum, volatility, and structure align
In short:
👉 The script decides whether a signal is allowed or blocked, instead of blindly triggering on single conditions.
🔗 Why multiple indicators are combined (not a mashup)
Each component has a non-overlapping role.
No indicator is used to “confirm itself”.
EMA (Trend Bias)
Defines directional market bias
Blocks counter-trend signals early
VWAP (Fair-Price Filter)
Ensures entries are aligned with institutional mean price
Prevents chasing overextended moves
Supertrend (Trend Continuation Context)
Confirms directional persistence
Helps avoid premature reversals
RSI + RSI-MA (Momentum Quality)
RSI direction alone is not enough
RSI-MA distance filters weak momentum
RSI-MA slope filters flat / sideways conditions
ADX (Market Energy)
Confirms whether the market has sufficient strength
Blocks signals in low-energy or sideways phases
ATR (Volatility Context)
Confirms whether price movement is meaningful
Helps avoid signals during compressed ranges
👉 No single indicator can generate a signal independently.
Signals are allowed only when these components agree together.
🧱 Market Structure Engine (SMC Logic)
BOS — Break of Structure
Detected using swing-based pivot highs and lows
Confirms continuation of the prevailing structure
Evaluated only after candle close
CHoCH — Change of Character
Detects structural shift against the prior trend
Used as early contextual information
CHoCH remains valid for a limited number of bars
⚠️ BOS and CHoCH are contextual structure references, not standalone trade signals.
⚡ Partial Signal System (Context, not entries)
Instead of showing only final Buy/Sell signals, the indicator provides partial signals that reflect setup development:
B1 / S1 → CHoCH + RSI
B2 / S2 → EMA + VWAP + Supertrend + RSI
B3 / S3 → EMA + VWAP + RSI
B4 / S4 → Breakout alignment (RSI intentionally excluded)
Each partial type:
Represents a specific rule-set
Can be enabled or disabled independently
Does not imply trade execution
🛡 Noise & Fake-Breakout Protection (Core Design Goal)
The script is specifically engineered to avoid false breakouts by using:
Candle-close confirmation (non-repainting)
RSI-MA minimum distance & slope filtering
Optional ADX strength filter with recovery (grace) window
Optional RSI divergence blocking
Optional session-time exclusion
Low-volatility, sideways, or unstable market conditions are intentionally filtered out.
⚙ Trading Modes (Different internal logic)
Intraday Mode
Direction resets at the start of each trading day
Prevents repeated same-side entries
Optional momentum-based reset logic
Positional Mode
Direction remains active until an opposite signal appears
No daily reset
Suitable for swing and higher-timeframe analysis
These modes use different internal state handling, not cosmetic toggles.
📍 Traditional Pivot Points (Support & Resistance Context)
Built-in Traditional Pivot Levels include:
Auto / Daily / Weekly / Monthly anchoring
Multi-year support (Quarterly, Yearly, etc.)
Optional price labels
Historical plotting control
Pivot levels are never used to generate signals.
They serve only as contextual support & resistance references.
📋 Trend Dashboard (Visual Aid)
An optional dashboard displays:
Trend state across multiple timeframes
Bullish / Bearish / Neutral classification
The dashboard is informational only and does not generate signals.
🔔 Alerts
Supports:
Confirmed signal alerts
Partial signal alerts
JSON-formatted webhook alerts
All alerts trigger only on confirmed candle close.
🔐 Why Invite-Only & Closed-Source
This script uses:
Stateful signal control
Multi-stage rule validation
Structure persistence logic
Partial-to-confirmed signal flow
Source access is restricted solely to protect these internal mechanisms, not for promotion.
⚠ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice and does not guarantee results.
All trading decisions and risk management remain the user’s responsibility.
OW_MTF CandleDescription
Overview The OW_MTF+ indicator allows traders to visualize Higher Timeframe (HTF) candlesticks directly on their current chart. Designed for Price Action and Smart Money Concepts (SMC) traders, this tool helps you perform Top-Down Analysis without switching back and forth between timeframes.
Unlike standard MTF indicators, this script features a Dynamic History Fade system that automatically adjusts the transparency of older candles, keeping your chart clean and focused on recent price action.
Key Features
・Multi-Timeframe Overlay: Display candles from any higher timeframe (e.g., show 4-Hour candles on a 15-Minute chart).
・Real-Time Updates: Uses lookahead=barmerge.lookahead_on to ensure the forming HTF candle updates in real-time with the current market price, allowing for immediate reaction to live price action.
・Dynamic Transparency (Fade Effect): The indicator includes a smart visual management system. It automatically increases the transparency of older historical candles so they do not obscure your chart, while keeping the most recent candles vivid and clear.
・Extended History: Supports displaying up to 500 historical HTF bars, giving you a deep view of past market structure.
・Time-Accurate Positioning: utilizes xloc.bar_time to ensure candles and wicks are perfectly aligned with the correct timestamp, preventing visual misalignment during market gaps.
Settings & Customization
・Timeframe: Select your desired Higher Timeframe (e.g., 240 for 4-Hour, D for Daily).
・History Depth: Choose how many HTF bars to display (Max 500).
Visual Styles: Fully customizable colors for Bullish/Bearish bodies, wicks, and borders.
・Auto Extend Mode: When enabled, this optimizes the transparency of the most recent 50 bars for the best visual experience.
Technical Note This indicator uses lookahead_on to retrieve HTF data. This is intentional to allow the current forming bar to update in real-time. Please note that while the historical closed candles are permanent, the currently active HTF candle will update tick-by-tick until it closes.
概要
OW_MTF Candleは、現在表示しているチャート上に上位足のローソク足を重ねて表示するマルチタイムフレーム・インジケーターです。 プライスアクションやスマートマネーコンセプト(SMC)を用いたトレードにおいて、時間足を切り替えることなくトップダウン分析を行うのに最適です。
通常のMTFインジケーターとは異なり、**「ダイナミック・ヒストリー・フェード(動的透明度調整)」**機能を搭載しています。これにより、過去の古いローソク足の透明度を自動的に上げ、最新のプライスアクションを強調しつつ、チャート全体の視認性を保ちます 。
主な機能
・マルチタイムフレーム表示: 任意の上位足を選択して表示可能です(例:15分足チャートに4時間足のローソクを表示など)。
・リアルタイム更新: request.security で lookahead=barmerge.lookahead_on を使用しているため、現在形成中の上位足もリアルタイムの価格に追従して動きます 。
・動的透明度(フェード効果): 過去の履歴バーがチャートを邪魔しないよう、古い足ほど自動的に透明度を高く調整します。これにより最新の相場状況がクリアに表示されます 。
・拡張履歴: 最大500本までの過去の上位足を表示でき、長期的な市場構造の確認が可能です 。
・正確な位置合わせ: xloc.bar_time(時間座標)を使用しているため、市場の休場やギャップがあってもローソク足とヒゲが正しい時刻に配置されます 。
設定項目
・上位足の時間足 (Timeframe): 表示したい上位足を選択します(デフォルト: 240/4時間足)。
・表示する履歴本数: 過去何本分の上位足を表示するか設定します(最大500本)。
・スタイル設定: 上昇足・下降足の実体色、ヒゲの色、枠線の太さなどを自由にカスタマイズ可能です 。
・自動拡張モード (Auto Extend): 最新の50本に対して最適な透明度調整を自動で行います 。
技術的な注釈
・確定した過去足: リペイントしません(変化しません)。
・現在進行中の足: 確定するまではリアルタイムで形状が変化します。
Tether Dynamics - Statistical Exhaustion EngineOverview
This strategy detects statistical exhaustion in price movement by modeling price as a particle tethered to a dynamic anchor. When price stretches too far from equilibrium and multiple independent statistical detectors confirm anomalous behavior, the strategy identifies high-probability mean-reversion opportunities.
Unlike simple oversold/overbought indicators, this system fuses concepts from classical mechanics , stochastic filtering , multivariate statistics , and statistical process control into a unified detection framework.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
THEORETICAL FOUNDATION
1. The Tethered Particle Model
The framework draws inspiration from Polyak's heavy ball method in optimization theory, where a particle with momentum navigates a loss landscape. Here, price is modeled as a particle connected to a moving anchor (adaptive EMA) by an elastic "chain" whose length scales with volatility (ATR). This creates a natural physics framework:
Displacement (x) : Distance from anchor, normalized by chain length
Velocity (v) : Rate of change of displacement
Acceleration (a) : Rate of change of velocity
This state vector defines the system's "phase space" — a complete description of price dynamics relative to equilibrium.
2. Adaptive Anchor (Kaufman Efficiency)
The anchor uses an adaptive smoothing approach inspired by Perry Kaufman's Adaptive Moving Average. The Efficiency Ratio measures trend strength:
ER = |Direction| / Volatility = |Price - Price | / Σ|ΔPrice|
High efficiency (trending) → faster adaptation
Low efficiency (choppy) → slower, more stable anchor
This prevents whipsaws in ranging markets while staying responsive in trends.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DETECTION ARCHITECTURE
The strategy employs three independent statistical detectors , each grounded in distinct mathematical frameworks. A signal fires when price shows extended tension AND any detector confirms anomalous behavior AND momentum is decelerating (exhaustion).
Detector 1: Mahalanobis Distance (Multivariate Outlier Detection)
The Mahalanobis distance measures how "unusual" the current state vector is, accounting for correlations between displacement, velocity, and acceleration:
D² = (x - μ)ᵀ Σ⁻¹ (x - μ)
Where Σ is the full 3×3 covariance matrix. Under multivariate normality, D² follows a chi-squared distribution with 3 degrees of freedom:
χ²(3, 0.90) = 6.25 → 10% of observations exceed this
χ²(3, 0.95) = 7.81 → 5% of observations exceed this
This detector identifies states that are jointly extreme — even if no single variable looks unusual alone.
Why it matters: A price might have moderate displacement and moderate velocity, but the combination could be highly improbable. Mahalanobis captures this multivariate structure that univariate indicators miss.
Detector 2: CUSUM Change-Point Detection
Cumulative Sum (CUSUM) is a sequential analysis technique from statistical process control. It accumulates standardized deviations from the mean:
S⁺ₜ = max(0, S⁺ₜ₋₁ + zₜ - drift)
S⁻ₜ = min(0, S⁻ₜ₋₁ + zₜ + drift)
When either cumulative sum breaches a threshold, a "change point" is detected — the process has shifted from its baseline regime.
Why it matters: CUSUM detects subtle, persistent shifts that might not trigger on any single bar. It's sensitive to regime changes that precede reversals.
Detector 3: Kalman Innovation Filter (Ornstein-Uhlenbeck Model)
This detector models displacement as an Ornstein-Uhlenbeck process — the continuous-time analog of AR(1) mean-reversion:
dx = θ(μ - x)dt + σdW
A Kalman filter tracks the expected displacement and computes the innovation (prediction error):
νₜ = (yₜ - x̂ₜ|ₜ₋₁) / √Sₜ
Under correct model specification, normalized innovations should be ~N(0,1). Large innovations indicate the mean-reversion model is breaking down — price is behaving "unexpectedly" relative to equilibrium dynamics.
Adaptive Q Estimation: The filter continuously adjusts its process noise estimate based on innovation autocorrelation, maintaining calibration across different volatility regimes.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SIGNAL LOGIC
Long Signal Requirements:
Z-Displacement < -σ threshold (price stretched below anchor)
ANY detector fires (Mahalanobis outlier OR CUSUM change OR Kalman innovation < -2σ)
Z-Acceleration > 0 (downward momentum decelerating)
Short Signal Requirements:
Z-Displacement > +σ threshold (price stretched above anchor)
ANY detector fires
Z-Acceleration < 0 (upward momentum decelerating)
The deceleration requirement ensures we're catching exhaustion rather than fighting momentum.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RISK MANAGEMENT
Scale-Out Exit Strategy
Rather than all-or-nothing exits, the strategy takes profits at multiple R-levels:
Scale 1: 20% at 0.5R
Scale 2: 20% at 1.0R
Scale 3: 10% at 1.5R (optional)
Remainder: Trailing stop
This locks in gains while allowing winners to run.
Adaptive Trailing Stop
After reaching the activation threshold (default 1R), the stop trails from the highest high (longs) or lowest low (shorts) at a configurable ATR multiple.
Reversal Logic
When an opposite signal fires while in position, the strategy can close and flip direction rather than waiting for a stop-out.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PARAMETER GUIDANCE
Anchor Period (24) : Base period for adaptive anchor
ATR Period (14) : Volatility measurement
Chain Length Mult (2.5) : Tether elasticity — higher = more stretch allowed
Long Tension σ (1.5) : Lower = more signals
Short Tension σ (2.0) : Higher threshold for shorts (trend asymmetry)
Mahalanobis Threshold (6.25) : χ²(3, 0.90) — adjust for signal frequency
CUSUM Threshold (3.0) : Lower = more sensitive to regime shifts
Lookback Window (100) : Statistical estimation window
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
BACKTEST NOTES
Historical testing on NQ (2020-2025) suggests:
Long signals show stronger edge than shorts in equity indices
1H and 30-min timeframes balance signal quality vs. frequency
"Long Only" mode recommended for equity index futures
Important: Past performance does not guarantee future results. This strategy involves significant risk of loss.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MATHEMATICAL REFERENCES
Polyak, B.T. (1964). "Some methods of speeding up the convergence of iteration methods" (Heavy ball method)
Bertsekas, D.P. (1999). "Nonlinear Programming" (Heavy ball method / momentum dynamics)
Mahalanobis, P.C. (1936). "On the generalized distance in statistics"
Page, E.S. (1954). "Continuous inspection schemes" (CUSUM)
Kalman, R.E. (1960). "A new approach to linear filtering and prediction problems"
Uhlenbeck, G.E. & Ornstein, L.S. (1930). "On the theory of Brownian motion"
Kaufman, P. (1995). "Smarter Trading" (Adaptive Moving Average)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DISCLAIMER
This strategy is provided for educational and research purposes. Trading futures involves substantial risk of loss. The statistical methods employed do not guarantee profitable outcomes. Always use appropriate position sizing and risk management.
[ASREMON]_251219_3CommasA Christmas carol is about joy, love, and hope during Christmas.
It celebrates family, kindness, and being together.
The songs often talk about peace and goodwill to others.
They remind people to give, forgive, and share warmth.
Overall, they express the spirit of Christmas happiness.
AI Chakra for Global Markets by Pooja🔮 AI Chakra for Global Markets — by Pooja
Invite-Only | Rule-Based Market Structure & Momentum Indicator
🔹 What this indicator actually does
AI Chakra is a rule-based indicator that generates Auto Buy / Auto Sell signals
only when predefined rules across trend, momentum, volatility and structure are satisfied together.
It is not a simple RSI, EMA or SMC indicator, and it is not a visual mash-up.
Each component has a fixed role, and no signal is allowed unless all required rules pass.
🟢 AUTO BUY / 🔴 AUTO SELL — How signals are generated
BUY signal is allowed ONLY when ALL rules below are true on candle close:
Trend Rule
Price above EMA trend structure
EMA alignment confirms bullish bias
Fair-Price Rule
Price above VWAP (no buy below VWAP)
Momentum Rule
RSI above its moving average
RSI–RSI-MA distance above minimum threshold
RSI-MA slope positive (flat momentum blocked)
Volatility Rule
ADX confirms market strength
ATR confirms sufficient price movement
Low-energy / sideways markets are ignored
Structure Rule
Market structure is valid (BOS or active CHoCH context)
No buy allowed against recent structure shift
Candle Confirmation Rule
Signal triggers only after candle close
No intrabar or repaint signals
If any single rule fails → NO BUY SIGNAL.
SELL signal follows the same rules in the opposite direction.
🧠 What “AI” means here (no hype, no prediction)
“AI” in this indicator does NOT mean machine learning or prediction.
It refers to:
Multi-rule decision logic
State-based signal control
Conditional signal rejection
Context-aware validation instead of single-condition triggers
👉 The indicator decides whether a signal is allowed or rejected, similar to a rule engine.
📉 Fake Breakout Protection (Core Purpose)
This indicator is specifically designed to avoid fake breakouts.
Fake signals are blocked using:
RSI distance + slope filter
ADX strength validation
ATR volatility requirement
VWAP position filter
Structure (BOS / CHoCH) alignment
Low-volume, sideways and weak momentum moves are intentionally ignored.
🧱 Market Structure (SMC) — How it is used
Break of Structure (BOS)
Detected using swing highs / lows
Confirms continuation of current trend
Used as structure validation, not as a trade trigger
Change of Character (CHoCH)
Detected when price breaks previous structure
Marks possible trend shift
Remains valid only for limited bars
⚠️ BOS / CHoCH do not generate trades alone.
They only allow or block signals from the main engine.
🔁 Partial Signals — Why they exist
Instead of only final Buy/Sell, the indicator shows Partial Signals:
CHoCH + RSI
EMA + VWAP + RSI
EMA + VWAP + Supertrend + RSI
Breakout structure (RSI intentionally excluded)
Partial signals:
Do not mean trade entry
Show which rules are already satisfied
Help traders track setup development
📍 Support & Resistance (Context Only)
Traditional Pivot Points
Multi-timeframe calculation (Daily / Weekly / Monthly)
Optional price labels
Pivot levels:
Never generate signals
Used only as support / resistance reference
📐 Trendline Module (Optional)
Trendlines drawn from swing points
ATR / Std-Dev / Regression-based slope
Extended forward for interaction zones
Trendlines are contextual, not breakout triggers.
⚙️ Trading Modes (Different rule handling)
Intraday Mode
Direction resets daily
Prevents repeated same-side signals in one session
Positional Mode
Direction stays active until opposite structure appears
No daily reset
Logic is different internally — not cosmetic.
🔔 Alerts
Auto Buy / Auto Sell alerts
Partial alerts available
Candle-close only
Non-repainting
Webhook compatible
🔒 Why Invite-Only
The script uses:
Stateful signal logic
Multi-rule validation
Structure-based filters
Partial-to-confirmed signal flow
Source is restricted to protect these mechanisms.
⚠️ Disclaimer
This indicator is for educational and analytical use only.
It does not provide financial advice or trade recommendations.
Risk management is the user’s responsibility.
Power Bar SMA Directional (Trade Your Edge)GENERAL OVERVIEW:
The Power Bar SMA Directional (Trade Your Edge) indicator identifies high-momentum Power Bars and uses a structured SMA-based breakout model to generate Long and Short trading signals. Once a signal appears, the indicator automatically places a Stop-Loss and three Take-Profit levels, with an optional dynamic trailing stop-loss. Alerts are available for every trade event.
This indicator was developed by Flux Charts in collaboration with Steven Adams (Trade Your Edge).
What is the purpose of the indicator?:
The purpose of the Power Bar SMA Indicator is to turn an unusually strong candle (Power Bar) into a complete, rule-based trade setup. The indicator does three main things, very specifically:
It spots “power bars”. These are candles where the body is both large compared to the candle’s own range and large compared to nearby candles.
It only cares about power bars when they align with the trend’s direction: bullish or bearish.
When that happens, the indicator gives a buy or sell signal with an entry at the signal candle, a stop-loss at the low/high of the power bar, and three take-profit targets placed at fixed multiples of the entry to stop-loss distance. You can also have the stop move up/down after each target is hit with the trailing stop-loss feature.
What’s the theory behind the indicator?:
The theory behind this indicator is that large, one-sided candles often mark the start of directional strength. When a candle’s body takes up most of its total range and exceeds the average size of recent candlesticks, it shows clear control from either buyers or sellers. The indicator combines this concept with a simple moving average to confirm trend direction, ensuring signals only align with the current bias. It then checks if price breaks a recent swing high or low to confirm momentum is continuing rather than consolidating inside a range. By combining three core elements: trend bias, momentum identification, and confirmation that price has room for new discovery beyond prior ranges, the indicator can focus on finding trade setups that have multiple market factors in alignment.
POWER BAR SMA DIRECTIONAL FEATURES:
The Power Bar SMA Directional indicator includes 4 main features:
Power Bars
Trend Bias
Long / Short Signals + Risk Management
Alerts
POWER BARS:
🔹What are Power Bars?:
Power Bars are large, high-momentum candles that show strength in one direction of the market. They form when a candle’s body (the distance between open and close) dominates most of the candle’s total range (the distance between high and low), meaning price moved strongly in one direction with little to no pullback. To qualify, the candle must also be large relative to nearby candles. This size difference confirms that the candle is a burst of momentum.
🔹How to interpret and use Power Bars:
When a Power Bar forms, it signals that price has just made a strong directional move with little to no pullback. Traders can use these bars to identify momentum shifts and potential trade setups.
A bullish Power Bar means buyers controlled the entire candle, marking the start of upward momentum. A bearish Power Bar means sellers were in control of the entire candle, signaling the start of downwards momentum. In the Power Bar SMA Directional indicator, these candles are only used for signals when they align with the market trend and satisfy other entry requirements, mentioned later on.
Bullish Power Bars forming above the Simple Moving Average (SMA) can signal potential long opportunities.
Bullish Power Bars forming below the SMA can signal potential short opportunities.
🔹How are Power Bars identified:
Power Bars are detected and confirmed only after the candle closes, ensuring that the full candlestick body and range can be measured. The indicator does not repaint or change past bars. Once a Power Bar is confirmed, it stays fixed on the chart. Power Bars can be detected on any timeframe or symbol that produces standard candlestick data.
The indicator identifies Power Bars using two user-defined inputs: Sensitivity and Body %.
◇ Sensitivity:
The Sensitivity setting determines how large a candle’s body must be relative to nearby candles. It uses the Average True Range (ATR) to compare the current candle’s size with recent candles, and the Sensitivity value acts as a multiplier of that ATR. A higher Sensitivity value means the candle must be much larger than recent candles to qualify, so fewer Power Bars will form. A lower value makes the filter less strict, allowing more candles to qualify.
◇ Body %:
The Body % setting controls what percentage of the candle’s total range must be body rather than Wick. A higher value requires the body to take up more of the candle’s total range, so fewer candles pass the filter. A lower value allows candles with more wick to qualify, so more Power Bars will form.
Body % Example:
If Body % is set to 50, the candle body must cover at least half of the candle’s total range. For example, if a candle’s high is $11, its low is $10, its open is $10.20, and its close is $10.80, then the total range is $1 ($11 - $10) and the body is $0.60 ($10.80 - $10.20). Body % = (Body / Total Range) * 100 = (0.60 ÷ 1.00 × 100) = 60%. Since 60% is greater than the input of 50%, this candle passes the Body % criteria.
Once a candlestick closes and it meets both the Sensitivity and Body % requirements, it will be plotted in a different color, using barcolor() function. Users can adjust the bullish/bearish colors of Power Bars by adjusting the ‘Candle Coloring’ setting. The Power Bar candle coloring is purely visual and does not affect signal logic or strategy calculations.
TREND BIAS:
The indicator uses a Simple Moving Average (SMA) to determine overall trend direction and ensure that long/short signals align with the market bias.
When the SMA is sloping upward and price is trading above it, the market is considered to be in a bullish trend. In this case, only long setups are allowed. When the SMA is sloping downward and price is below it, the market is considered bearish, and only short setups are valid. This filtering ensures that every signal follows the current trend rather than fighting it.
Within the settings, the SMA length can be customized to match different trading styles. A shorter SMA period reacts more quickly to price changes, making it better suited for scalping or lower timeframes where traders want faster entries and exits. A longer SMA period responds more slowly, which smooths out smaller fluctuations and is more useful for day traders or swing traders who focus on larger trends. By default, the SMA length is set to 20.
Signals on SEED_ALEXDRAYM_SHORTINTEREST2:NQ 5-minute timeframe with a 10 SMA vs. 100 SMA:
🔹Why does the indicator include a trend filter?:
This indicator is built around the assumption that markets tend to continue moving in their current direction. Thus, if the trend is bullish, it’s assumed that price will continue moving higher. If the trend is bearish, it’s assumed that price will continue moving lower. By combining the SMA filter with the momentum logic of the power bars, the indicator avoids countertrend setups. This keeps signals focused on continuation setups where both the trend and short-term strength (momentum) are in agreement.
LONG/SHORT SIGNALS:
This indicator identifies potential trade setups by combining momentum, trend alignment, and structural confirmation. It detects when a Power Bar candle appears, and then looks for confirmation that the move is valid through trend alignment and a structure break.
There are three long setups and three short setups:
Momentum Breakout
Proximity Breakout
Delayed Breakout
All setups require:
A valid Power Bar forming in the correct context relative to the SMA.
A break of nearby structure (defined by the Swing Length setting).
🔹Signal Settings:
◇ SMA Distance:
This setting defines how close a Power Bar must be to the SMA to qualify for the proximity breakout setup type. It measures the maximum allowed distance between the Power Bar’s open price and the SMA, expressed as a multiple of the Average True Range (ATR).
This setting only affects Setup #2 (Proximity Breakout) and sometimes Setup #3 (Delayed Breakout). Setup #1 does not use this filter because its logic depends on price crossing the SMA or confirming later. In proximity setups, the power bar candle must both open and close on the same side of the SMA (bullish or bearish) while still being within the allowed SMA Distance range. This condition prevents signals when price is stretched too far away from the SMA, which could indicate exhaustion or a potential pullback rather than continuation.
A lower SMA Distance value tightens this filter, allowing only Power Bars that form very close to the SMA, resulting in fewer but more conservative signals. A higher SMA Distance value gives wiggle room and allows setups that form farther from the SMA, generating more frequent signals.
In the example below, when the SMA Distance is set to 0.5 (left chart), the bullish Power Bar does not trigger a long signal because its opening price is too far from the SMA. When the SMA Distance is increased to 1.0 (right chart), the same candle now falls within the allowed range, making the setup valid and displaying a long signal label.
◇ Swing Length:
The Swing Length setting defines how the indicator identifies recent structure levels used for breakout confirmation. These structure levels are swing highs and swing lows, which represent points where price reversed direction over a specified number of bars. The indicator uses these high/low levels to determine whether price has broken past a meaningful area of prior support or resistance before confirming a trade setup.
The Swing Length value determines how far back the indicator looks when calculating these points. Internally, it uses the Highest/Lowest method, scanning the last N bars (where N is the Swing Length input) to find the highest high and lowest low within that range.
The highest high becomes the immediate resistance level for potential long setups.
The lowest low becomes the immediate support level for potential short setups.
A lower Swing Length value makes the indicator reference closer levels. This increases the number of potential signals because nearby highs and lows are easier for price to reach.
A higher Swing Length value references farther structure levels, typically major swing points, which reduces signal frequency.
Every setup requires a structure break for confirmation. The Swing Length setting directly affects how strict or lenient the entire indicator behaves for each setup type.
In Setup #1 (Baseline Momentum Breakout) and Setup #2 (Trend-Aligned Proximity Breakout), the Power Bar must break the structure level during or immediately after its formation.
In Setup #3 (Delayed Breakout Confirmation), the same Swing Length level is referenced for a limited number of candles defined by the Candles Between Confirmation setting.
◇ Candles Between Confirmation:
The Candles Between Confirmation setting defines how long the indicator will wait for price to confirm a breakout after a qualifying Power Bar forms. It represents the maximum number of bars allowed between the Power Bar’s close and the moment when price breaks the nearby structure level, which is derived from the Swing Length setting. The structure level is defined as the most recent swing high (for long setups) or swing low (for short setups).
If a structure break occurs within the specified window, a valid signal is triggered, and the Long or Short label is plotted at the close of the breakout candle. If price fails to break through the level within a certain number of candles, the setup is invalidated. This ensures that signals only appear when momentum follows through promptly, and not when price stalls or consolidates for an extended period.
Lower values make confirmations stricter, capturing only quick momentum breakouts. Higher values allow more time for slower markets or higher timeframes to complete structure breaks. Adjust this setting based on market volatility and trading style.
In the example below, when Candles Between Confirmation is set to 10, no signal appears because price breaks the swing high after 15 bars, which is greater than the allowed limit. When the setting is increased to 15, the same move qualifies, and a long signal is triggered as price breaks the swing high 15 candles after the initial bullish Power Bar that crossed the SMA.
🔹Long Setups:
Long Setup #1: Momentum Breakout
A bullish Power Bar opens below the SMA, and closes above it, showing buyer strength.
A breakout must occur during this bullish Power Bar candle through a nearby resistance level derived from the Swing Length setting.
When this breakout occurs, a Long Signal appears at bar close.
After a signal appears, three take-profit levels and one stop-loss level are also plotted.
Stop-Loss: Placed at the Power Bar’s low.
Take-Profit 1: Set using a 1:1 risk distance from the Stop-Loss to entry.
Take-Profit 2: Extends to 1:1.5 risk-to-reward.
Take-Profit 3: Extends to 1:2 risk-to-reward.
(Power Bars are white in this image)
Long Setup #2: Proximity Breakout
A bullish Power Bar opens and closes above the SMA, but is still close enough to it to show price hasn’t extended too far. (Refer to SMA Distance setting). As long as the opening of that candle is within the SMA Distance threshold, the setup remains valid.
The bullish Power Bar candle must break through the recent swing high (refer to Swing Length setting).
A Long Signal triggers when that breakout is confirmed.
After a signal appears, three take-profit levels and one stop-loss level are also plotted, similar to Long Setup #1.
(Power Bars are white in this image)
Long Setup #3: Delayed Breakout
A bullish Power Bar appears in a valid location (Refer to Long Setup #1 or Long Setup #2), but structure is not broken immediately.
The indicator waits for confirmation within the maximum Candles Between Confirmation window. If price breaks structure within that time, a Long Signal appears. If price fails to break structure in time, the setup is discarded.
Risk Management:
Same Stop-Loss, TP 1, TP 2, and TP 3 logic as Long Setup #1
(Power Bars are white in this image)
🔹Short Setups:
Short Setup #1: Momentum Breakout
A bearish Power Bar opens above the SMA, and closes below it, showing seller strength.
A breakout must occur during this bearish Power Bar candle through a nearby support level derived from the Swing Length setting.
When this breakout occurs, a Short Signal appears at bar close.
After a signal appears, three take-profit levels and one stop-loss level are also plotted.
Stop-Loss: Placed at the Power Bar’s high.
Take-Profit 1: Set using a 1:1 risk distance from the Stop-Loss to entry.
Take-Profit 2: Extends to 1:1.5 risk-to-reward.
Take-Profit 3: Extends to 1:2 risk-to-reward.
(Power Bars are white in this image)
Short Setup #2: Proximity Breakout
A bearish Power Bar opens and closes below the SMA, but is still close enough to it to show price hasn’t extended too far. (Refer to SMA Distance setting). As long as the opening of that candle is within the SMA Distance threshold, the setup remains valid.
The bearish Power Bar candle must break through the recent swing low (refer to Swing Length setting).
A Short Signal triggers when that breakout is confirmed.
After a signal appears, three take-profit levels and one stop-loss level are also plotted, similar to Short Setup #1.
(Power Bars are white in this image)
Short Setup #3: Delayed Breakout
A bearish Power Bar appears in a valid location (Refer to Short Setup #1 or Short Setup #2), but structure is not broken immediately.
The indicator waits for confirmation within the maximum Candles Between Confirmation window. If price breaks structure within that time, a Short Signal appears. If price fails to break structure in time, the setup is discarded.
Risk Management:
Same Stop-Loss, TP 1, TP 2, and TP 3 logic as Long Setup #1
(Power Bars are white in this image)
🔹Trailing Stop-Loss Feature:
When the Trailing Stop-Loss setting is enabled, the Stop-Loss (SL) automatically adjusts as price reaches take-profit levels. This feature helps secure profits while keeping the trade logic completely rule-based and non-discretionary.
Here’s exactly how it works step-by-step:
Initial Stop-Loss placement:
For a Long trade, the initial SL is set at the low of the bullish Power Bar that triggered the setup.
For a Short trade, the initial SL is set at the high of the bearish Power Bar that triggered the setup.
This level stays fixed until one of the Take-Profit targets is reached.
After TP 1 is hit:
The SL automatically moves to the entry price (breakeven).
After TP2 is hit:
The SL automatically moves to TP 1
Final exit condition:
The trade is considered complete once either the trailing Stop-Loss or TP 3 is reached.
🔹Visualization:
Users can enable or disable:
Long Signals
Short Signals
Take-Profit Lines
Take-Profit Labels
Stop-Loss Lines
Stop-Loss Labels
Signal Line
SMA
◇ Signal Line:
The Signal Line is an optional visual feature that helps users see exactly which structure level the indicator is using to confirm a breakout. It does not change how signals are generated. It only displays the reference point on the chart.
Users can customize the Signal Line style (Dashed, Dotted, Solid) and choose different colors for bullish and bearish signal lines. The Signal Line can also be turned off completely. When disabled, signals will not be affected.
ALERTS:
The indicator supports alerts, so you never miss a key market move. You can choose to receive alerts for each of the following conditions:
Long Signal
Short Signal
TP 1 (Take-Profit 1)
TP 2 (Take-Profit 2)
TP 3 (Take-Profit 3)
SL (Stop-Loss)
UNIQUENESS:
This indicator automates a strategy that is normally managed manually using multiple steps: identifying large momentum candles, validating trend direction, confirming breakout strength through structure, and then projecting clean risk-based targets. The SMA Distance filter, confirmation window, and swing structure rules work together to ensure signals only trigger when momentum (Power Bars) aligns with technical levels. This indicator turns Power Bars into complete trade ideas with real-time SL/TP management and alerts.
AI Intraday Astra by Pooja v27📘 AI Intraday Astra v27
Invite-Only Intraday Indicator for Option Traders
🔍 What this indicator does (Purpose)
AI Intraday Astra v27 is a rule-based intraday signal-filtering indicator designed to reduce false breakouts, repeated entries, and low-energy trades commonly faced by option traders.
Unlike traditional indicators that generate frequent signals, this script focuses on signal validation and rejection, producing trades only when multiple market conditions align on the same confirmed candle.
⭐ What makes this indicator ORIGINAL
This script is not a simple combination of indicators.
It uses a state-based decision architecture, where signals are allowed only after passing multiple sequential checks and internal reset rules.
Key originality points:
Independent BUY and SELL engines (no shared oscillator state)
State tracking to control signal eligibility
Reset-based logic after every signal
Multi-layer filtering instead of single-condition triggers
This design differentiates it from standard RSI, EMA, or Supertrend-based scripts.
⚙️ Core Features (Explained Clearly)
🔹 Auto BUY / SELL Signals (Confirmed Only)
Signals trigger only after candle close and only when all filters align.
No intrabar repainting or blinking signals.
🔹 Dual RSI Engine (Buy & Sell Separation)
Separate RSI + RSI-MA logic for Buy and Sell
Minimum RSI-MA distance filter
Directional slope validation
Signal gap control
➡️ Prevents mixed or weak momentum signals.
🔹 ADX + ATR Volatility Filter
ADX confirms directional strength
ATR confirms sufficient intraday volatility
➡️ Blocks signals during sideways or low-energy markets.
🔹 EMA + VWAP Trend Alignment
BUY only above EMA & VWAP
SELL only below EMA & VWAP
➡️ Avoids counter-trend option entries.
🔹 Trendline-Based Structure Filter
Dynamic trendlines derived from swing highs/lows
Optional slope modes (ATR / Stdev / Linear Regression)
Signals allowed only near relevant structure
➡️ Prevents chasing overextended prices.
🔹 Pivot Points (Support & Resistance Context)
Traditional pivot levels
Multi-timeframe calculation
Optional price labels
➡️ Used for context, not direct signal generation.
🔹 Reset & Anti-Overtrading Logic
After a signal:
Price must break and re-accept across EMA
Minimum bars enforced between same-side signals
➡️ Controls over-trading in strong trends.
🔹 Session Filter
Optional disabling of signals during selected intraday time windows
(e.g. noisy market open).
🧠 About “AI”
This script does not use machine learning or prediction models.
“AI” refers to a rule-based decision system that evaluates multiple market conditions together and allows a signal only when all rules remain valid until candle close.
🔔 Alerts
BUY / SELL alerts on confirmed signals only
Webhook-compatible
No repaint behavior
👤 Who this is for
Intraday option traders
Traders who prefer quality over quantity
Rule-based and confirmation-driven setups
🔒 Why Invite-Only
The script contains internal state management, reset logic, and independent signal engines that go beyond standard indicator combinations.
Source access is restricted to protect this implementation.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not provide financial advice or profit guarantees.
Users are responsible for their own risk management.
Asia/London/NY Session Slope LinesTITLE: Asia/London/NY Session Slope Lines
Track momentum across all three major trading sessions with automated slope lines showing pips per bar movement.
📊 VISUALIZE SESSION MOMENTUM AT A GLANCE
This powerful indicator automatically draws slope lines for all three major forex trading sessions (Asia, London, and New York), giving you instant insight into directional bias and momentum for each session.
✨ KEY FEATURES:
• Three Session Coverage - Asia, London, and New York sessions tracked simultaneously
• Pips Per Bar Calculation - See exact momentum as "pips moved per bar" for easy comparison
• Customizable Styling - Different colors, line styles, and widths for each session
• Auto-Detection - Automatically identifies session boundaries and draws lines
• Clean Labels - Each session displays its slope value directly on the chart
• Session Markers - Optional triangles show exact start/end of each session
📈 HOW IT WORKS:
The indicator calculates the slope by measuring:
1. Price movement during the entire session (in pips)
2. Number of bars in that session
3. Result: Pips per bar (momentum strength)
Example: If Asia session moved +30 pips over 60 bars = +0.50 pips/bar slope
🎨 VISUAL CLARITY:
• Asia Session: Solid lines (Green/Red by default)
• London Session: Dashed lines (Blue/Orange by default)
• New York Session: Dotted lines (Lime/Fuchsia by default)
• Positive slopes = Bullish momentum
• Negative slopes = Bearish momentum
🔧 FULLY CUSTOMIZABLE:
• Adjust session times for any timezone
• Change colors for positive/negative slopes per session
• Toggle session boundary markers on/off
• Modify line width and style independently
💡 PERFECT FOR:
✓ Session traders who focus on specific market hours
✓ Identifying which session has the strongest momentum
✓ Spotting trend continuation or reversal between sessions
✓ Comparing volatility across different trading sessions
✓ Finding the best session for your trading strategy
⚙️ WORKS WITH:
• All forex pairs (EUR/USD, GBP/USD, USD/JPY, etc.)
• Any timeframe (works best on 5m-1H charts)
• Automatically adjusts pip calculation for JPY pairs
🚀 QUICK SETUP:
1. Add indicator to chart
2. Customize session times if needed (Settings → Input tab)
3. Adjust colors and styles (Settings → Style tab)
4. Start trading with clear session momentum insight!
No complex configuration needed - works perfectly with default settings!
🚀 QUICK START GUIDE - Asia/London/NY Session Slope Lines
──────────────────────────────────────────────────────────────
STEP 1: ADD TO CHART
──────────────────────────────────────────────────────────────
1. Open TradingView
2. Select any forex pair (e.g., EUR/USD)
3. Click "Indicators" at top of chart
4. Search: "Asia/London/NY Session Slope Lines"
5. Click to add to chart
──────────────────────────────────────────────────────────────
STEP 2: UNDERSTAND WHAT YOU SEE
──────────────────────────────────────────────────────────────
You'll see THREE different slope lines per day:
📍 ASIA SESSION (Solid Line)
• Default: 00:00 - 09:00 (Exchange time)
• Green = Bullish | Red = Bearish
• Label shows: "Asia +0.85 pips/bar"
📍 LONDON SESSION (Dashed Line)
• Default: 03:00 - 12:00 (Exchange time)
• Blue = Bullish | Orange = Bearish
• Label shows: "London -1.23 pips/bar"
📍 NEW YORK SESSION (Dotted Line)
• Default: 09:30 - 16:00 (Exchange time)
• Lime = Bullish | Fuchsia = Bearish
• Label shows: "NY +2.14 pips/bar"
──────────────────────────────────────────────────────────────
STEP 3: HOW TO READ THE SLOPES
──────────────────────────────────────────────────────────────
The number tells you MOMENTUM STRENGTH:
+0.10 to +0.50 pips/bar = Weak uptrend
+0.50 to +1.50 pips/bar = Moderate uptrend
+1.50+ pips/bar = Strong uptrend
-0.10 to -0.50 pips/bar = Weak downtrend
-0.50 to -1.50 pips/bar = Moderate downtrend
-1.50+ pips/bar = Strong downtrend
──────────────────────────────────────────────────────────────
STEP 4: TRADING STRATEGIES
──────────────────────────────────────────────────────────────
✅ CONTINUATION PLAY:
If Asia = +1.2 pips/bar AND London = +0.8 pips/bar
→ Look for LONG entries during NY session
✅ REVERSAL PLAY:
If Asia = +2.5 pips/bar (strong) AND London = -0.3 pips/bar
→ Momentum shifted, watch for reversal
✅ STRONGEST SESSION:
Compare all three slopes - trade during the session with highest absolute value
NY = +3.2 pips/bar > London = +1.1 > Asia = +0.4
→ NY session has strongest momentum
──────────────────────────────────────────────────────────────
STEP 5: CUSTOMIZE (OPTIONAL)
──────────────────────────────────────────────────────────────
Click the gear icon ⚙️ next to indicator name:
🕐 ADJUST SESSION TIMES:
Settings → Asia Session → Change hours
(Use YOUR timezone or exchange timezone)
🎨 CHANGE COLORS:
Settings → Asia/London/NY Style → Pick colors
👁️ HIDE MARKERS:
Settings → Display Options → Uncheck "Show Session Markers"
──────────────────────────────────────────────────────────────
STEP 6: BEST PRACTICES
──────────────────────────────────────────────────────────────
📊 Use on 5-minute to 1-hour charts
(Too high timeframe = not enough bars per session)
💱 Works best on major forex pairs
(EUR/USD, GBP/USD, USD/JPY, etc.)
🕐 Verify session times match your trading timezone
(Default is exchange timezone)
📈 Combine with support/resistance levels
(Strong slope + key level = high probability setup)
Market Phase Dashboard MTFGetting into a trade is the easy part. if anyone out there could use a little assistance in knowing when to exit a trade this ones for you..
This is a Market Phase Dashboard MTF (Multi-Timeframe) that classifies market conditions into 4 distinct phases based on trend + momentum alignment. Here's what it does:
The 4 Market Phases:
CONTINUATION 🟢 - Uptrend (EMA rising) + Strong momentum (RSI > 55)
Translation: "Trend is strong, keep riding it"
SLOWING 🟠 - Two scenarios:
Uptrend but momentum fading (RSI ≤ 55), OR
Downtrend but momentum not fully committed (RSI ≥ 45)
Translation: "Trend losing steam, be cautious"
EXHAUSTION 🔴 - Downtrend (EMA falling) + Weak momentum (RSI < 45)
Translation: "Trend is dying, possible reversal coming"
NEUTRAL ⚪ - Anything that doesn't fit above (shouldn't happen much with these thresholds)
Multi-Timeframe View:
Shows phases for:
Chart TF - Whatever timeframe you're viewing (only updates on confirmed bar close)
5m - Always shows 5-minute phase
15m - Always shows 15-minute phase
Visual Cues:
Background color changes based on the live chart timeframe phase (updates in real-time, not waiting for bar close)
Table shows confirmed phases for all timeframes
Practical Use:
Helps you understand if different timeframes are aligned. For example:
All 3 showing CONTINUATION = strong aligned trend, high confidence trades
15m EXHAUSTION but 5m CONTINUATION = possible short-term bounce in downtrend
Mixed signals = choppy/transitional market, stay cautious
It's basically a trend health checker across multiple timeframes at a glance! I am also in the works of adding every higher time frame so that it will consist of 5 min all the way to the 12 mo time frame i will keep you guys updated as i update this indicator.






















