Fair Value Gap [Tradeuminati]Fair Value Gap
Fair Value Gap is a clean and rule-based Fair Value Gap indicator for TradingView, designed to display only valid and confirmed Fair Value Gaps (FVGs) and Inverted Fair Value Gaps (iFVGs).
The indicator is built on a strict 3-candle FVG definition and operates exclusively on candle close, ensuring no repainting and no premature signals.
🔹 Key Features
Valid Fair Value Gaps (FVG)
- Detects bullish and bearish Fair Value Gaps using a precise 3-candle structure
- FVGs are only plotted after the confirming candle has closed
- A Fair Value Gap remains visible only as long as it is valid
- Once price closes beyond the FVG, it is removed or converted
Inverted Fair Value Gaps (iFVG)
- When a valid FVG is invalidated by a candle close, it can be converted into an iFVG
- iFVGs retain the original price range and structure
- Only valid iFVGs are displayed
- As soon as price closes through an iFVG, it is automatically removed
Clean & Controlled Visualization
- Only the last N active FVGs are displayed (bullish + bearish combined)
- Only the last N valid iFVGs are shown
- Boxes automatically extend to the current price + configurable bars
- Labels are dynamically positioned at the right edge of each zone
🔹 Technical Notes
- No repainting
- No intrabar signals
- Close-based validation only
- Works on all markets and timeframes
- Lightweight and performance-friendly
⚠️ Disclaimer
This indicator is for technical analysis purposes only and does not constitute trading or investment advice.
Wskaźniki i strategie
Smart Money Concept Change of Character Break of StructureSMC Structure
Visualizes Change of Character (CHoCH) and Break of Structure (BoS) - two fundamental Smart Money Concepts for identifying trend reversals and continuations.
This is the 1st version of an implementation of this concept.
It is NOT supposed to be used as a signal but a confirmation. Best use during NYSE hours.
Full Description
Overview
This indicator automatically detects and displays two core Smart Money Concepts (SMC) directly on your chart:
CHoCH (Change of Character) – The first structural break against the prevailing trend, signaling a potential reversal
BoS (Break of Structure) – A structural break in the direction of the current trend, confirming continuation
These concepts are essential building blocks of SMC trading methodology, helping traders identify where institutional players may be entering or exiting positions.
How It Works
The indicator uses pivot-based swing detection to identify significant highs and lows. When price breaks through these levels, it classifies the move as either a CHoCH or BoS based on the current trend context.
CHoCH (Change of Character)
Occurs when price breaks structure AGAINST the current trend
First warning sign that the trend may be reversing
Displayed as a solid horizontal line with "CHoCH" label
Green = Bullish reversal | Red = Bearish reversal
BoS (Break of Structure)
Occurs when price breaks structure IN THE DIRECTION of the current trend
Confirms that the existing trend remains intact
Displayed as a dashed horizontal line with "BoS" label
Teal = Bullish continuation | Maroon = Bearish continuation
Visual Example
Uptrend with BoS (continuation):
HH ◄── BoS (trend continues)
/
HL
/
HH
/
HL
Uptrend → CHoCH → Downtrend (reversal):
HH
/ \
HL \
LL ◄── CHoCH (trend reversal!)
Settings
Pivot Settings
Pivot Lookback: Number of bars used to identify swing highs/lows (default: 5). Higher values = fewer but more significant structure points.
Display Options
Show CHoCH: Toggle CHoCH visualization
Show BoS: Toggle BoS visualization
Show Swing Points: Display SH/SL labels at detected pivots
Extend Lines to Right: Extend structure lines into future bars
Show Info Table: Display current trend and last swing levels
Show Trend Background: Color the chart background based on trend direction
Colors
Fully customizable colors for all elements
How to Use
Identify the trend: Look at the sequence of CHoCH and BoS signals to understand market structure
Watch for CHoCH: A CHoCH signals potential reversal – wait for confirmation before trading against the previous trend
Trade with BoS: BoS confirms trend continuation – look for entries on pullbacks in the direction of the trend
Combine with other SMC concepts: Works great alongside Order Blocks, Fair Value Gaps, and liquidity concepts
Tips
Use higher pivot lookback values on higher timeframes for cleaner signals
A CHoCH doesn't guarantee reversal – it's the first warning sign, not confirmation
Multiple BoS signals in a row indicate a strong, healthy trend
Look for CHoCH occurring at key levels (support/resistance, order blocks) for higher probability setups
Feedback Welcome!
This is an open-source indicator and I'd love to hear your thoughts!
Please comment below if you have:
Feature requests or ideas for improvements
Bug reports or issues
Suggestions for additional SMC concepts to add
Your feedback helps make this indicator better for everyone. Happy trading! 🚀
Least Squares Moving Average Zero Lag LeadLSMA Zero‑Lag + Lead Indicator
This indicator is a modified Least Squares Moving Average (LSMA) designed to reduce lag and optionally introduce a controlled forward‑leaning (lead) component. It is intended to be used either directly on price or as a smoother, more responsive input source for other indicators such as RSI, MACD, or regime filters.
1. What LSMA Is Doing
LSMA (Least Squares Moving Average) fits a straight‑line regression to the last N bars and evaluates that line at the current bar. Unlike simple or exponential averages, LSMA implicitly models trend direction and slope, which makes it more responsive during directional moves.
2. Zero‑Lag Adjustment
The zero‑lag version applies a simple error‑correction technique:
ZL = 2 × LSMA − LSMA(previous)
This cancels part of the inherent regression delay, producing a smoother line that reacts faster to turns while remaining stable in trends.
3. Lead Component (Optional)
On top of the zero‑lag LSMA, a slope‑based lead is added:
Lead = ZL + k × (ZL − ZL(previous))
Here, the recent slope is projected forward by a user‑controlled factor (k). This does not predict price, but it shifts the average slightly in the direction of current momentum, improving responsiveness for signal generation.
4. Why This Helps RSI and Similar Indicators
RSI and many oscillators operate on raw price changes, which can be noisy and lag‑prone. Feeding RSI with LSMA ZL or LSMA ZL + Lead instead of raw close price:
• Reduces noise without excessive smoothing
• Aligns RSI swings with underlying trend direction
• Improves timing of overbought/oversold transitions
• Reduces late signals after sharp reversals
In practice, this produces an RSI that reacts faster in trends but stays calmer in chop.
5. Practical Usage Tips
• Use LSMA ZL as a clean, low‑lag replacement for price in oscillators
• Add small lead values (0.5–1.0) only if earlier signals are needed
• Avoid high lead values in choppy markets
• Combine with regime or volatility filters for best results
This indicator is best thought of as a signal‑conditioning layer rather than a standalone trading system.
Offset Bollinger Bandsbollinger band offset by 10 period. Appied on daily time frame for entry and exit
Jpi for LIFEEEEhmm like idk it kinda just marks out with a veritcal line 8am nyc 10:30 nyc and 10am nyc idk why but like ye ig its comfortable
Statistical Deviation per AssetINDICATOR: STATISTICAL DEVIATION PER ASSET (SDPA)
1. Overview
The Statistical Deviation per Asset (SDPA) is a quantitative analysis tool designed to measure the strength and exhaustion of price movements. Unlike standard oscillators (like RSI ), the SDPA calculates the actual percentage deviation from the most recent pivot point (High or Low) and compares it against historical performance averages specific to each asset.
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2. Core Logic & Calculation
The script operates on a Mean Reversion principle. It assumes that every asset (Gold, Bitcoin, Ethereum, etc.) has a unique "volatility signature" depending on the timeframe.
* Dynamic Pivot Detection : The indicator identifies recent Swing Highs and Swing Lows using an adaptive lookback period.
* Real-Time Return Calculation : Once a pivot is confirmed, the script calculates the real-time percentage gain (from a Low) or loss (from a High).
* Zero-Indexed Histogram : This return is plotted as an oscillator centered around a Zero Line , representing the current trend's progress since the last reversal.
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3. Adaptive Intelligence (Multi-Asset & Multi-TF)
The SDPA is pre-loaded with a statistical database. It automatically adjusts its sensitivity and thresholds based on:
1. The Selected Asset : Whether trading XAUUSD , Bitcoin , or Solana , the deviation thresholds adapt to the specific volatility of that instrument.
2. The Timeframe (TF) : The calculation period ( period ) and performance targets ( hausse_perf / baisse_perf ) change dynamically. For example, a 1-minute scalping setup uses a longer lookback (200) compared to a Daily swing setup (10).
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4. Visual Anatomy
The interface is designed for instant "at-a-glance" interpretation:
* The Histogram :
* Green : Price is trending up since the last Swing Low .
* Red : Price is trending down since the last Swing High .
* Threshold Lines (The Statistical Averages) :
* Thick Line (60% Opacity) : Represents the Average Historical Deviation . When the histogram hits this line, the move is considered "statistically mature."
* Thin Line (70% Opacity) : Represents the Strong Deviation Zone (1.5x the average), indicating extreme momentum or potential exhaustion.
* Background Highlighting : The chart background colors automatically when the price exceeds historical averages, signaling a High-Probability Reversal Zone .
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5. How to Trade with SDPA
* Trend Maturity : If the histogram exceeds the Bullish Average (Green line), the current move has reached its typical historical limit. Traders should look for take-profit opportunities or wait for a reversal.
* Impulse Strength : A rapid move from the Zero Line toward the thresholds confirms strong institutional interest.
* Mean Reversion : When the histogram reaches the Strong Zone (1.5x), the price is "overextended" statistically, offering a high reward-to-risk ratio for counter-trend setups.
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6. Technical Parameters
* Asset Choice : Dropdown menu to select the specific asset.
* Colors : Customizable Bullish and Bearish colors to match any UI theme.
* Precision : Set to 4 decimal places to ensure accuracy across all asset types.
VWAP Extreme Zones (Elite Style)Short Description
VWAP Extreme Zones (Elite Style) highlights statistically stretched price areas above and below VWAP, helping traders identify potential overextension, mean-reversion zones, and high-risk breakout areas during intraday sessions.
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or trade signals.
All trading involves risk. Always confirm with price action, market context, and proper risk management before taking any trade.
Price Action High 2 + Risk/Reward VisualizerIntroduction: Price Action High 2 (Bull Flag) Setup
This script identifies the High 2 (H2) setup, a staple price action pattern popularized by Al Brooks. The High 2 is a high-probability continuation pattern designed to catch the resumption of a bull trend after a two-legged pullback (a "complex" bull flag).
In a strong uptrend, the first attempt to end a pullback often fails (High 1). The High 2 represents the second, and usually more reliable, attempt by bulls to take control, often forming a "double bottom" structure within the flag.
How the Logic Works
The indicator follows a strict state-machine logic to ensure the pattern is valid:
Trend Confirmation: The script filters for an established uptrend where price is above a rising EMA (adjustable in settings).
Pullback Identification: It looks for a sequence of bars making lower highs.
High 1 (H1): The first bar in the correction that breaks above the high of the prior bar.
The Second Leg: The script then waits for the price to again fail to break a high, confirming a second leg of the pullback.
High 2 (H2): The signal is triggered when a bar breaks the high of the previous bar for the second time.
Key Features
Signal Bar Quality Filter: Not all High 2s are equal. This script includes a filter ensuring the signal bar closes in the upper portion of its range (bullish conviction) to avoid "weak" breakouts.
Automated Risk/Reward Visualizer: Upon a signal, the script automatically projects a Stop Loss (at the signal bar low) and a Take Profit level based on a customizable R:R ratio.
Clean Visuals: Labeled "H2" markers and dashed trend lines keep the chart uncluttered.
How to Trade It
Entry: Place a buy-stop order 1 tick above the High 2 signal bar.
Stop Loss: Traditionally placed below the low of the signal bar or the most recent swing low.
Target: Common targets include a 1:2 Risk/Reward ratio or the previous major swing high.
Settings Guide
EMA Length: Adjust this to match your timeframe (e.g., 20 for intraday, 50 for daily).
Min Close %: Set this to 50% or higher to ensure you only take trades where the bulls finished the bar strong.
Risk:Reward Ratio: Customize your profit targets to align with your personal trading plan.
yon Price Above 200 EMA & RSI < 11The indicator will highlight potential oversold bounce opportunities when price is in an uptrend (above 200 EMA) but temporarily oversold on the RSI-2.
Check on youtube for video that explains the mechanics of Larry Connors' 2-period RSI strategy and how it differs from traditional RSI use, which is essential for applying it to volatile instruments like 0DTE QQQ.
RVOL Text This script will give you the Relative volume at the time in a numbered text on your charts.
Udta Teer MKCIts normal vwap which is already available in TradingView. Now we have modified it with help of AI for bands
Global Market Hours & Eventswww.tradingview.com
Global Market opens and closes and other related events,
15min warning ahead of time, visual indicator for warning and for the event
not over-crowded with the possibility to remove labels and have just a little circle marker.
Adjustements for labels and circles are in the settings
Activate Pane Label to identify
Rainbow Road [kingthies]Rainbow Road
Rainbow Road is a trend-structure and momentum visualization tool built around a cascading chain of smoothed simple moving averages. Instead of plotting independent moving averages on price, each line is progressively smoothed from the prior one using the same length, creating a layered “road” that reveals trend strength, direction, and transition with exceptional clarity.
OVERVIEW
Rainbow Road visualizes trend quality using a spectrum of fast-to-slow moving averages derived from one another. Because each average is smoothed from the prior line, the indicator forms a continuous structure rather than a collection of unrelated signals. This makes trend alignment, momentum expansion, and compression immediately visible.
HOW IT WORKS
The first average is a Simple Moving Average of price
Each subsequent average is an SMA of the previous average using the same length
This creates a cascading chain of averages with increasing smoothness
Colors progress from red (fastest) to purple (slowest) to represent trend hierarchy
HOW TO READ IT
Strong Trend : All averages are aligned and expanding in the same direction
Acceleration : Spacing between averages increases
Deceleration : Spacing narrows while direction remains intact
Consolidation : Averages converge and overlap
Reversal Risk : Faster averages cross back through the slowest average
TREND CONTEXT
The optional fill between the fastest and slowest averages visualizes overall trend pressure. Expanding fill suggests strengthening momentum, while contracting fill highlights compression and potential regime change.
USE CASES
Trend confirmation and directional bias
Momentum expansion vs compression analysis
Identifying trend exhaustion and early reversal zones
Contextual filtering for entries and exits
WHY RAINBOW ROAD
Traditional moving average stacks often produce clutter and redundant signals. Rainbow Road focuses on structure and flow, helping traders evaluate the quality of a trend rather than reacting to individual crossovers.
BEST USED WITH
Price action and market structure
Support and resistance
Volatility or range-based tools
Higher-timeframe trend bias
Rainbow Road is designed to sit quietly on your chart and clearly communicate whether the market is flowing, stalling, or preparing to turn.
Liquidity ZonesLiquidity Zones
Liquidity Zones is a price-action–based indicator designed to identify high-probability support and resistance areas where liquidity has historically accumulated.
Instead of drawing single lines, the script builds dynamic price zones based on repeated pivot reactions validated by volume, helping traders focus on meaningful levels rather than noise.
How It Works
Pivot Detection
The indicator scans historical price data for pivot highs and pivot lows using a fixed pivot strength.
Each pivot represents a potential liquidity interaction point.
Volume Qualification
A pivot is only considered valid if the volume at the pivot bar exceeds:
Volume SMA × Sensitivity
This filters out weak or low-participation levels and keeps zones formed during strong market interest.
Zone Construction
Nearby pivots are grouped into a single zone if their price difference stays within an ATR-based threshold.
Each time price reacts within this threshold, the zone’s touch count increases.
Once the minimum number of touches is reached, a liquidity zone is drawn and extended to the right.
Adaptive Zone Expansion
As new qualifying pivots appear, zones automatically expand to reflect the true liquidity range instead of staying static.
Dynamic Zone Coloring
Zones update their color in real time based on price position:
Green (Support) → Price is above the zone
Red (Resistance) → Price is below the zone
Gray (In-Zone) → Price is trading inside the zone
This allows instant visual feedback on whether a level is acting as support, resistance, or an active liquidity area.
Settings Overview
Bars to Apply
Controls how much historical data is scanned for liquidity zones.
Volume Sensitivity
Higher values require stronger volume spikes to validate pivots, resulting in fewer but higher-quality zones.
Styling Options
Fully customizable colors and transparency for support, resistance, and in-zone states.
Best Use Cases
Identifying high-liquidity support and resistance zones
Planning entries, exits, and stop placement
Combining with trend-following or momentum indicators
Filtering out weak levels in sideways or choppy markets
SMT Divergence [Kodexius]SMT Divergence is a correlation-based divergence detector built around the Smart Money Technique concept: when two normally correlated instruments should be making similar swing progress, but one prints a new extreme while the other fails to confirm it. This “disagreement” can be a valuable contextual signal around liquidity runs, distribution phases, and potential reversal or continuation points.
The script compares the chart symbol (primary) with a user-selected comparison symbol (for example BTC vs ETH, ES vs NQ, EUR/USD vs GBP/USD) and automatically scans both instruments for confirmed swing highs and swing lows using pivot logic. Once swings are established, it checks for classic SMT conditions:
Primary makes a new swing extreme while the comparison symbol forms a non-confirming swing .
To support a wider range of markets, the indicator includes an Inverse Correlation option for pairs that typically move opposite to each other (for example DXY vs EUR/USD). With this enabled, the divergence rules are logically flipped so that the script still detects “non-confirmation” in a way that is consistent with the pair’s relationship.
The indicator is designed to be readable and actionable. It can draw divergence labels directly on the main chart, connect the relevant swing points with lines, show a compact information table with the last signal and settings, and optionally render the comparison symbol as a mini candle chart in the indicator pane for quick visual validation.
🔹 Features
🔸 Two-Symbol SMT Analysis (Primary vs Compare)
Select any comparison symbol to evaluate correlation structure and divergence. The script fetches the comparison OHLC data using the current chart timeframe to keep both series aligned for analysis.
🔸 Inverse Correlation Mode
For inversely correlated pairs, enable “Inverse Correlation” so the script interprets confirmation appropriately (for example, a higher low on the comparison instrument might be expected to correspond to a lower low on the primary, depending on the relationship). This helps avoid false conclusions when the pair naturally moves opposite.
🔸 Pivot-Based Swing with Adjustable Sensitivity
Swings are detected using confirmed pivots (left bars and right bars). This provides cleaner structural swing points compared with raw candle-to-candle comparisons, and it lets you control sensitivity for different market conditions and timeframes. The script also limits stored swing history to keep performance stable.
🔸 Flexible Detection Mode: Time Matched or Independent Swings
You can choose how swings are paired across instruments:
Time Matched searches for a comparison swing that occurred at the same pivot time as the primary swing.
Independent Swings compares each symbol’s own last two swings without requiring an exact time match.
🔸 Range Control and Noise Filtering
To reduce weak or irrelevant signals:
“Max Bars Between Swings” ensures the two swings being compared are close enough in structure to be meaningful.
“Min Price Diff (%)” can require a minimum percentage change between the primary’s last two swing prices to confirm the move is significant.
🔸 Clear Visual Output with Tooltips
When a divergence is detected, the script can print a label (“SMT”) with bullish or bearish styling and a tooltip that includes the symbol pair and the primary swing price for quick context.
🔸 Divergence Lines for Context
Optional lines connect the relevant swing points, making it easier to see the exact structure that triggered the signal. One line can be drawn on the main chart and another in the indicator pane for the comparison series.
🔸 Info Table (At a Glance)
A compact table can display the active symbols, correlation mode, total divergences stored, and the most recent signal type.
🔸 Alerts Included
Built-in alert conditions are provided for bullish SMT, bearish SMT, and any SMT event so you can automate notifications without editing the code.
🔸 Optional Comparison Candle Panel
If enabled, the indicator can plot the comparison symbol as candles in the indicator pane. This is useful for confirming whether the divergence is happening around major levels, consolidations, or impulsive legs on the secondary instrument.
🔹 Calculations
This section summarizes the core logic used by the script.
1. Data Synchronization (Comparison Symbol)
The comparison instrument is requested on the chart’s current timeframe so swing calculations are performed consistently:
=
request.security(compareSymbolInput, timeframe.period, )
This ensures pivots and swing times are derived from the same bar cadence as the primary chart.
2. Swing Detection via Confirmed Pivots
Swings are detected using pivot logic with user-defined left and right bars:
primaryPivotHigh = ta.pivothigh(high, pivotLeftBars, pivotRightBars)
primaryPivotLow = ta.pivotlow(low, pivotLeftBars, pivotRightBars)
Because pivots are confirmed only after the “right bars” have closed, the script stores each swing using an offset so the swing’s bar index and time reflect where the pivot actually occurred, not where it was confirmed.
3. Swing Storage and Retrieval
Both symbols maintain arrays of SwingPoint objects. Each new swing is pushed into the array, and older swings are dropped once the array exceeds the configured maximum. This makes the divergence engine predictable and prevents uncontrolled memory growth.
The script then retrieves the last and previous swing highs and lows (per symbol) to evaluate structure.
4. Matching Logic (Time Matched vs Independent)
When “Time Matched” is selected, the script searches the comparison swing array for a pivot that occurred at the exact same timestamp as the primary swing. When “Independent Swings” is selected, it simply uses the comparison symbol’s last two swings of the same type.
5. Bullish SMT Condition (LL vs HL)
A bullish SMT event is defined as:
Primary forms a lower low (last low < previous low)
Comparison forms a higher low (last low > previous low)
If inverse correlation is enabled, the comparison condition flips to maintain logical confirmation rules
The two primary swings must be within the configured bar distance window
Optional minimum percentage difference must be satisfied
A simple anti duplication rule prevents repeated triggers on the same structure
These checks are implemented directly in the bullish detection block.
6. Bearish SMT Condition (HH vs LH)
A bearish SMT event is defined as:
Primary forms a higher high (last high > previous high)
Comparison forms a lower high (last high < previous high)
Inverse correlation flips the comparison rule
Range checks, minimum difference filtering, and duplicate protection apply similarly
These checks are implemented in the bearish detection block.
7. Percentage Difference Filter
The optional “Min Price Diff (%)” filter measures the relative distance between the last two primary swing prices. This prevents very small structural changes from being treated as valid SMT signals.
priceDiffPerc = math.abs(lastSwing.price - prevSwing.price) / prevSwing.price * 100.0
The divergence condition is only allowed to trigger if this value exceeds the user defined threshold.
priceOk = priceDiffPerc >= minPriceDiff
This filter is especially useful on higher timeframes or during low volatility conditions, where micro structure noise can otherwise produce misleading signals.
8. Visualization and Output
When a divergence is confirmed, the script:
Stores the event in a divergence array (limited by “Max Divergences to Display”)
Draws a directional SMT label with a tooltip (optional)
Draws connecting lines using time based coordinates for clean alignment (optional)
It also updates an information table on the last bar only, and exposes alertconditions for automation workflows.
MacroTide Elasticity SystemThe MacroTide Elasticity System is a professional-grade technical analysis tool designed to identify potential trend exhaustions and reversals by modeling price action as an elastic band stretched from a volume-weighted baseline. Unlike standard oscillators (like RSI) that only look at price changes, MacroTide integrates Volume, Price Range, and Volatility to gauge the "energy" behind a move.
1. Concepts and Methodology
The core concept is Mean Reversion based on Volume-Weighted Elasticity. Markets tend to snap back to a value consensus (mean) after over-extension.
Volume-Weighted Baseline: We use a Volume Weighted Moving Average (VWMA) rather than a simple SMA. This ensures that heavy-volume trading days pull the baseline closer to price, while low-volume drift allows the baseline to lag, accurately representing the "true" average cost.
Elasticity Physics: The oscillator calculates how far price has deviated from this VWMA baseline, measured in standard deviations. This creates a normalized "Elasticity Score" (0-100).
High Score (>80): Price is over-extended to the upside (Overbought) relative to volume support.
Low Score (<20): Price is over-extended to the downside (Oversold).
Institutional Absorption (Churn): The script detects specific bar anomalies where Volume is High but Price Range is Low. This pattern often indicates "Churn"—where institutions are absorbing supply or unloading positions without moving the price significantly.
2. Key Features
MacroTrend Detection: Visualizes the market's stretch limits.
Divergence Scanner: Automatically detects and labels Regular Bullish and Bearish divergences. This occurs when price makes a new extreme, but the Elasticity Oscillator fails to confirm it, signaling waning momentum.
Absorption Events: Highlights yellow "sun" markers on the oscillator when high-volume churn is detected, often preceding a breakout or reversal.
Dynamic Coloring: Candles and oscillator lines change color based on the slope of the elasticity (Green for rising momentum, Red for falling).
3. How to Use
Trend Reversals: Look for the oscillator to enter the Overbought (80) or Oversold (20) zones. A reversal signal (triangle marker) is generated when the oscillator crosses back out of these zones, indicating the "snap back" effect has begun.
Divergence Confirmation: Use the "DIV" labels as early warning signs. A Bullish Divergence in an oversold zone is a high-probability setup for a long entry.
Filtering Trends: The center line (50) acts as a trend filter. Above 50 indicates bullish bias; below 50 indicates bearish bias.
4. Settings & Customisation
Lookback Period: Default is 21 (Swing). Increase to 50 or 100 for Macro/Long-term analysis.
StdDev Multiplier: Adjusts the sensitivity of the bands. Higher values (e.g., 2.5 or 3.0) are better for volatile assets like Crypto.
Absorption Volume Factor: Threshold for detecting churn. Default is 1.5x average volume.
Disclaimer: This tool is for informational purposes only. Past performance (divergences/signals) does not guarantee future results. Always manage risk effectively.
Witch-Fire ALMA signals: Dynamic Liquidity & Trend GlowThe Witch-Fire ALMA is a high-precision trend bias and liquidity mapping tool designed for price action traders and Smart Money practitioners. Unlike traditional indicators that clutter your chart with lagging signals, this script provides a "clean-yet-powerful" visual anchor to help you stay on the right side of the market while identifying key Points of Interest (POIs).
At its core, the script utilizes an optimized Arnaud Legoux Moving Average (ALMA). Known for its superior ability to balance smoothness and responsiveness, the ALMA effectively filters out market noise and "whipsaws" that often plague standard EMAs.
Key Features:
The Witch-Fire Glow: A neon-styled ALMA line that shifts between Bullish Green and Bearish Red. The white core provides surgical precision for price intersection, while the outer glow visualizes the strength and dominance of the current trend.
Scaled Liquidity Levels: Automatically maps Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). These levels are dynamic—they scale proportionally with your ALMA settings. This ensures that the liquidity zones you see are always relevant to the trend cycle you are analyzing.
Strategic Bias Background: A subtle background tint provides an instant psychological filter. Only look for Longs in the green zone and Shorts in the red zone to maintain a high-probability strike rate.
How to Trade with Witch-Fire:
Identify the Bias: Look at the Fire ALMA. If the "fire" is red and the price is below the line, your bias is strictly bearish.
Watch the Sweeps: Wait for the price to "sweep" (pierce with a wick) the horizontal SSL (Green) or BSL (Red) lines.
Execution: Look for a strong rejection candle (long wick, small body) at these levels that closes back towards the ALMA line.
Best Used On: 15m, 1H, and 4H timeframes. Works exceptionally well for Crypto, Forex, and Indices.
NeuralFlow Forecast Levels| NIFTY WeeklyThis is a companion script that plots AI-adaptive market equilibrium & expansion mapping levels on chart.
NeuralFlow Forecast levels are generated though a Artificial Intelligence framework trained to identify where price is statistically inclined to re-balance and where expansion zones historically exhaust rather than extend.
What the Bands Represent
Band Layer Meaning
AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert
Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment
Outer Zones (green / red) Expansion limits where continuation historically decays
Extreme Zones (top/bottom) Rare deviation envelope where auction completion is statistically favored
NeuralFlow operates Artificial Intelligence models trained specifically to map statistical re-balancing behavior, not trader predictions or sentiment. No discretionary drawing. No correlations. No lagging overlays.
This engine updates only when underlying structure changes — not when candles fluctuate intraday.
Risk:
Educational & analytical use only. Not financial advice
Pre-Market + Daily + Weekly REGULAR HOURS 📦 Pre-Market + Daily + Weekly RTH Range Boxes
This indicator automatically plots Pre-Market, Daily, and Weekly range boxes based strictly on US Regular Trading Hours (RTH).
What it does:
Pre-Market Box (04:00–09:30)
Captures the full pre-market high and low, then projects the range forward from the RTH open.
Daily RTH Box (09:30–16:00)
Tracks the previous day’s regular session high and low and plots the range starting at 04:00 AM the next day.
Weekly RTH Box (Mon–Fri, 09:30–16:00)
Accumulates the full weekly RTH range and plots it at 04:00 AM on Monday.
Simple ATR Volatility Context v1.0This indicator provides a simple visual view of market volatility using ATR expressed as a percentage of price. It is designed to help identify when a market transitions from low-activity (compression) to higher-activity (expansion).
What it does
Calculates ATR as a percentage of price
Highlights the chart when volatility exceeds a user-defined threshold
Helps distinguish between quiet markets and trade-worthy conditions
How to use it
Green background indicates elevated volatility
Neutral / muted background indicates low volatility
Use alongside your own trend, structure, or entry tools
What this is not
Not a buy or sell signal
Not predictive
No performance claims
This tool is intended for market context and awareness, not standalone trading decisions.
Intraday Sessions Ranges with Time SegmentationSession Ranges indicator overlays customizable range boxes on major trading sessions (e.g. London, Premarket, NY AM and NY PM) using New York time.
Toggle visibility, add evenly spaced vertical segment lines, and highlight key time zones. Perfect for traders marking price action and levels across multiple historical days.
Triple EMA (TEMA) + Slope LeadThis indicator plots a standard Triple EMA (TEMA) and an optional slope-lead version. TEMA is a low-lag moving average built from three EMAs, allowing it to track price more closely than a single EMA. The Lead Strength (k) adds a small forward “push” based on the recent TEMA slope:
TEMA_lead = TEMA + k × (TEMA − TEMA ). Higher k values make the line react earlier but increase sensitivity in chop.
Used as a source for other indicators (RSI, MACD, stochastic, regime filters, etc.), TEMA or TEMA-Lead may improve signal quality by reducing noise, aligning momentum readings with trend direction, and producing earlier, cleaner transitions at turns, often without the excessive lag introduced by heavier smoothing.
Investment Analysis Bar v2What It Does
A comprehensive analysis bar combining fundamental metrics with technical signals, designed for long-term investors who prioritize quality over momentum.
Core Philosophy: Quality companies trading below their 200 EMA in accumulation zones = opportunities, not warnings.
Tier 1 Bar Metrics
Margins: GM, OM, NIM, FCF Margin
Returns: ROCE, ROE
Growth: Revenue YoY, EPS YoY
Valuation: PE TTM, Forward PE, PEG
Zone: Accumulate / Hold / Trim / Exit
Signal: PRIME / BUY / TRIM / SELL / NEUTRAL
Performance: 1W to 1Y returns
Two Strategy Modes
Value Accumulator (Default) - For long-term position building. Treats below-200-EMA as an opportunity when fundamentals are intact. PRIME signals require: RSI bounce + Volume + Accumulate Zone + All Quality Gates Pass + Below 200 EMA.
Trend Follower - Traditional momentum approach. Prefers entries above 200 EMA.
Quality Gates System
Four fundamental checkpoints:
Gross Margin ≥ 40%
ROCE ≥ 15%
Debt/Equity ≤ 50%
SBC/Revenue ≤ 15%
Strong signals require quality confirmation. PRIME signals require ALL gates to pass.
Zone System
Three calculation methods:
52W Range: Accumulate in bottom 25%, Trim in top 25%
Manual Levels: Set your own price targets
ATR-Based: Dynamic zones from EMA ± ATR
Signal Hierarchy (Value Mode)
SignalMeaning
PRIME 💎Optimal entry - all conditions aligned
BUY 🔼Strong accumulation signal
BUY? ↗Decent entry, not ideal zone
ACCUM 🎯In accumulation zone, quality OK
WAIT ⏳Setup forming, no bounce yet
TRIM 📤Consider taking profits
Alerts Included
Zone transitions (Accumulate, Trim, Exit)
PRIME Entry Signal
Strong Buy / Sell signals
Quality Gate failures
Quality Accumulation Setup
Best Used On
US stocks with fundamental data available. Technical features work on all symbols.
Settings
Fully customizable:
Toggle each metric category
Adjust quality gate thresholds
Choose zone calculation method
Configure RSI/volume parameters
Position bar and panel anywhere






















