Multi Market VWAP SystemMulti‑VWAP — Adaptive, Multi‑Session Anchored VWAP Suite
Multi‑VWAP is a comprehensive, multi‑session Volume‑Weighted Average Price engine designed for traders who rely on precise, session‑aware VWAP levels across equities, futures, and crypto.
Built for Pine Script v6, it handles complex market structures, custom anchor dates, and non‑standard trading sessions with robust error‑tolerant logic.
What This Indicator Does
This tool calculates and displays a full suite of anchored VWAPs, including:
Standard Period VWAPs
- Daily
- Weekly
- Monthly
- Yearly
To‑Date VWAPs
- Week‑to‑Date (WTD)
- Month‑to‑Date (MTD)
- Year‑to‑Date (YTD)
Custom Anchored VWAP
- Anchor to any user‑selected date
- Automatically recalculates from the first bar of that date
- Works across all markets, including 24/7 crypto
Multi‑Day Rolling VWAPs
Optional rolling VWAPs for:
- 2‑day
- 3‑day
- 4‑day
- 5‑day
- 10‑day
- 20‑day
- 50‑day
Each VWAP can be toggled individually for a clean, customizable chart.
Key Features
✔ Market‑Adaptive Session Handling
Automatically adjusts for:
- Regular equities sessions
- Futures extended hours
- 24/7 crypto markets
- Holidays (via MarketHolidays library)
✔ Clean, Efficient, Pine v6 Architecture
- No deprecated functions
- No array overflows
- No undefined variables
- Defensive programming for unsupported markets
- Optimized for performance on lower‑timeframe charts
✔ Visual Clarity & Control
- Independent color and visibility toggles
- Optional labels showing VWAP values
- Smart timestamp anchoring for all VWAP types
- Minimal chart clutter with maximum information density
Who This Indicator Is For
This tool is ideal for traders who rely on VWAP structure for:
- Intraday mean‑reversion
- Swing anchoring
- Multi‑session bias
- Institutional level mapping
- Crypto VWAP structure where no “session” exists
If you use VWAP as a core part of your workflow, this script gives you the flexibility and precision needed for modern multi‑market trading.
Notes
- This script does not repaint.
- All VWAPs are calculated using standard cumulative volume‑weighted methodology.
- Custom date VWAP begins at the first bar of the selected date on the chart’s timeframe.
Indicadores y estrategias
LSMA25 Trend Correction Continuation
## LSMA25 Trend Correction Continuation - Publishing Description
### Overview
This indicator highlights **trend continuation opportunities** using a **25-period LSMA (Least Squares Moving Average)** with a **slope/angle filter** and a simple **correction + re-entry** logic.
It is designed to mark:
* **Continuation entries** after a pullback (correction) and re-cross of LSMA in the direction of a strong trend
* **Strong-trend state** (subtle dots) when price stays on the trend side of LSMA with a steep angle, even without a fresh cross
### Core logic
1. **LSMA (25 by default)**
* Uses `ta.linreg(close, lsmaLen, 0)` as the LSMA line.
2. **Trend strength via angle (tick-normalized)**
* Computes 1-bar LSMA slope in **ticks**:
* `slopeTicks = (lsma - lsma ) / syminfo.mintick`
* Converts slope to an angle using `atan()` and a calibration input:
* `ticksPerBarFor45` approximates how many ticks per bar corresponds to ~45°
* Strong trend conditions:
* LONG trend strength when `angleDeg >= minAngleLongDeg`
* SHORT trend strength when `angleDeg <= minAngleShortDeg`
3. **Correction detection**
* LONG side: a correction exists if within the last `corrLookback` bars the close was **below** LSMA:
* `ta.barssince(close < lsma) <= corrLookback`
* SHORT side: correction exists if within the last `corrLookback` bars the close was **above** LSMA:
* `ta.barssince(close > lsma) <= corrLookback`
4. **Continuation signals**
* **Long Continuation (LC)** triggers when:
* Price **crosses above** LSMA (`ta.crossover(close, lsma)`)
* Angle indicates **strong uptrend**
* A recent **pullback below LSMA** occurred
* Optional ATR% filter passes
* **Short Continuation (SC)** triggers symmetrically on cross below.
5. **Strong trend markers**
* When price is on the trend side of LSMA and angle is strong:
* Uptrend: `close > lsma and strongUp`
* Downtrend: `close < lsma and strongDown`
* Drawn as small, semi-transparent circles (not entry signals by themselves).
### Plots and labels
* **LSMA line** plotted in yellow.
* **LC**: green triangle below bar (trend continuation long).
* **SC**: red triangle above bar (trend continuation short).
* **Dots**: tiny circles for strong-trend state when no fresh continuation signal is present.
### Inputs (how to tune)
* **LSMA length**
* Higher = smoother, fewer signals
* Lower = more responsive, more signals/noise
* **Ticks per bar ≈ 45°**
* Calibration control for angle scaling across different instruments/timeframes
* Increase it if angles look too “aggressive”; decrease it if angles look too “flat”
* **Min angle for LONG / Max angle for SHORT**
* Tighten to filter for only steep trends; loosen to allow more setups
* **Max correction bars back**
* Larger values allow older pullbacks to qualify
* Smaller values require a more recent correction
### Optional volatility filter (ATR%)
* When enabled, the script requires:
* `ATR% = (ATR / close) * 100 >= minAtrPct`
* Useful to avoid low-volatility chop (but can filter out valid trends on slow markets).
### How to use (practical)
* Use **LC/SC** as “trend continuation after pullback” markers:
* Prefer trading in the direction of higher timeframe bias (if applicable)
* Consider entries on LC/SC with your own risk rules (stops/targets are not included)
* Use the **strong-trend dots** as a regime filter:
* If dots persist, continuation setups have higher context quality
* If dots disappear frequently, market may be ranging/choppy
### Limitations (important)
* Angle is based on **LSMA 1-bar slope**, so it is sensitive to sudden changes and can vary across markets/timeframes.
* Correction logic is binary: it only checks whether price crossed to the other side of LSMA recently (not depth/structure of pullback).
* Signals depend on **close crossing LSMA**, not intrabar wick behavior.
* Not a full trading system: no position sizing, stops, or take profits.
### Alerts
Alerts fire only on **confirmed bars** (`barstate.isconfirmed`) for:
* “LSMA25 Long continuation”
* “LSMA25 Short continuation”
S/R Zones
### What it does
**Smart S/R Zones** automatically detects and visualizes **support and resistance zones** by:
* Finding **confirmed swing highs/lows** (pivot points)
* **Clustering nearby pivots** into price zones
* Scoring each zone by **how many pivots** it contains (zone “strength”)
* Marking zones as **active** or **broken**, and stopping broken zones at the breakout bar
* Keeping the chart clean by removing pivots and zones outside a configurable lookback window
### Core logic (how it works)
1. **Pivot detection (swing points)**
* Uses `ta.pivothigh()` and `ta.pivotlow()` with:
* `leftBars` bars to the left
* `rightBars` bars to the right
* Important: pivots are **confirmed only after `rightBars` bars**, so signals are delayed by design.
2. **Pivot memory + lookback cleanup**
* Each pivot is stored with:
* price
* type: `1` = resistance pivot high, `-1` = support pivot low
* pivot bar index (pivot’s original bar)
* active/broken flag
* breakout bar index (when it got broken)
* Pivots older than `lookbackPeriod` bars are removed.
3. **Dynamic zone width**
* Computes the recent range:
* `priceRange = highest(high, lookbackPeriod) - lowest(low, lookbackPeriod)`
* Converts it to a maximum zone width:
* `maxZoneWidth = priceRange * zoneWidthPct / 100`
* This makes zones adapt to volatility/regime changes.
4. **Breakout detection (pivot invalidation)**
* A resistance pivot is marked broken when:
* `close > pivotPrice * (1 + breakoutPct/100)`
* A support pivot is marked broken when:
* `close < pivotPrice * (1 - breakoutPct/100)`
* Note: breakout is **close-based**, not intrabar wick-based.
5. **Clustering pivots into zones**
* Pivots are grouped into zones **only with the same type** (support with support, resistance with resistance).
* A pivot joins a zone if it is close to the zone midpoint:
* `abs(price - zoneMid) <= maxZoneWidth/2`
* Zone boundaries expand to include the new pivot, but only if:
* `(newHigh - newLow) <= maxZoneWidth`
* Zone strength increments by 1 for each pivot added.
6. **Active vs broken zones (visual state)**
* Active zones extend to the **current bar**.
* Broken zones stop at their **breakout bar** (the bar index stored when the pivot was broken).
* Strength includes all pivots clustered, including pivots that later broke (as long as they are still in lookback).
### Visuals (what you see)
* **Green zones**: active support
* **Red zones**: active resistance
* **More transparent zones**: broken zones (support/resistance that was invalidated by a close beyond the breakout threshold)
* Optional labels:
* `S2`, `S3`… for support strength
* `R2`, `R3`… for resistance strength
* The number is the **count of clustered pivots** in that zone.
### Inputs (how to tune it)
* **Pivot Left Bars / Pivot Right Bars**
* Higher values = fewer pivots, more “major” swings, stronger zones
* Lower values = more pivots, more zones, more noise
* **Lookback Period**
* Limits how far back pivots are considered and keeps the chart uncluttered
* **Zone Width %**
* Controls how wide zones can get (as a % of recent range)
* Higher = more clustering, fewer broader zones
* Lower = tighter zones, more zones
* **Minimum Zone Strength**
* Filters weak zones. Example: set to 3 to show only zones formed by 3+ pivots
* **Breakout Threshold %**
* Defines how far price must close beyond a level to mark it broken
* Higher = fewer “false break” breaks, slower invalidation
* Lower = more responsive, more break markings
* **Show Strength Labels**
* Toggles S/R strength markers.
### How to use it in trading workflows
* **Zone reaction**: Watch for rejection/acceptance when price revisits a strong zone (`S3+`, `R3+`).
* **Breakout context**: A zone turning “broken” indicates price closed meaningfully beyond it (by threshold).
* **Confluence**: Use with your own context (trend, volatility, session structure, volume tools). This script is strictly price-structure based.
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context
Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval.
📊 KEY FEATURES:
- 365-Day High/Low with percentage distance from current price
- Range Position indicator (0-100%) with color-coded zones
- Comparison vs 365-day average price
- ATR-based volatility assessment
- Automatic adaptation for new assets (uses available data)
- Clean, professional table (top-left position)
- Optional visual lines on chart
🎯 WHAT IT SHOWS:
1. 365D High - Highest price in period + % below current
2. 365D Low - Lowest price in period + % above current
3. Range Position - Where price sits in the range:
• 🟢 Very Low (0-20%): Strong buy zone
• 🟢 Low (20-40%): Bullish territory
• 🟡 Mid (40-60%): Neutral zone
• 🟠 High (60-80%): Bearish territory
• 🔴 Very High (80-100%): Strong sell zone
4. vs 365D Average - Distance from mean (reversion signal)
5. Volatility - ATR as % of price (Low/Medium/High)
💡 USE CASES:
- Quick assessment of support/resistance zones
- Identify overbought/oversold conditions
- Mean reversion trading opportunities
- Risk assessment via volatility levels
- Works on ALL timeframes (always uses daily data)
- Perfect for new listings (auto-adjusts to available history)
⚙️ SETTINGS:
- Adjustable lookback period (30-730 days)
- Toggle high/low/average lines on chart
- White background optimized table
Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
Tomato Multi EMA + VWAP + SMA + RSI TableTomato Multi EMA + VWAP + SMA + RSI Table
Here are the following:
12, 27, 50, 135, 200, 405 EMAs
Blue, Red, Purple, Light Blue, Yellow, Green
White: VWAP
200, 400 SMA
Dotted Orange Line, Dotted Red Line
1, 2, 3, 5, 10, 13, 15, 30 Multitimeframe RSI table with RSI-MA 45 (EMA 45)
Kotegawa Dip ReversalTakashi Kotegawa trading indicator
it is meant to buy cheap japanese stocks when they are below vwap
Simple EFI + EMASimple Elder Force Index (EFI) with EMA Signal is a minimal momentum indicator that measures buying and selling pressure by combining price change and volume. The raw Force Index is smoothed with an Exponential Moving Average to reduce noise, and an additional EMA signal line helps visualize momentum shifts and trend strength. A zero line is included to quickly distinguish bullish (> 0) from bearish (< 0) conditions. This stripped-down version is designed for clarity and fast decision-making without extra filters or alerts.
1k EMA Clouds1k EMA Clouds
This indicator is a multi-EMA cloud system designed to give clear trend structure, momentum context, and higher-timeframe bias directly on your chart.
It plots five EMA cloud pairs using short and long moving averages, allowing you to visually identify trend alignment, trend shifts, and areas of dynamic support and resistance. When the fast EMA is above the slow EMA, the cloud reflects bullish conditions. When it’s below, the cloud reflects bearish conditions.
The script also includes:
An optional VWAP with session anchoring and standard deviation bands for intraday mean-reversion and institutional reference
Optional 200 MA and 100 MA for higher-timeframe trend confirmation
Clean visual hierarchy so price action remains readable during scaling and chart movement
This tool is intended to be used alongside price action, structure, and risk management, not as a standalone signal generator.
Credits
EMA cloud logic is inspired by and credited to Ripster’s EMA Clouds
Modified and extended for personal workflow, visual clarity, and intraday trading use
EMA Envelope and deviationEMA Envelope with Deviation is a trend-following indicator that plots an Exponential Moving Average (EMA) with dynamic upper and lower bands based on a user-defined deviation. The bands can be calculated either as a fixed percentage distance from the EMA or using statistical standard deviation, allowing traders to visualize volatility and potential overbought or oversold zones. It is commonly used to identify breakout strength, pullback entries, and mean-reversion opportunities. The indicator is fully customizable, supports different price sources, and can optionally display crossover signals when price interacts with the envelope boundaries.
Smart money PSP with color themesPSP with Color Themes — Price Strength Parity Indicator
PSP with Color Themes is a visual correlation indicator designed to detect Price Strength Parity (PSP) between the current chart symbol and a reference symbol.
It highlights candles where price behavior between two correlated instruments diverges or aligns, which is often used in SMT (Smart Money Technique) and intermarket analysis.
The indicator works directly on the chart and colors candles when a PSP condition is detected, using flexible and customizable color themes.
📌 What Is PSP (Price Strength Parity)?
PSP identifies situations where two correlated assets:
Move in opposite directions → Direct PSP (classic SMT divergence)
Move in the same direction → Inverse PSP (confirmation mode)
Such behavior often precedes:
Reversals
Continuations
Liquidity grabs
Market structure shifts
⚙️ Indicator Inputs
Reference Symbol
Defines the second asset used for comparison (e.g., ETHUSDT vs BTCUSDT).
Purpose:
To detect relative strength or weakness between two correlated markets.
Inverse Correlation Mode
Inverse Correlation Mode (true / false)
Allows switching between divergence-based and confirmation-based analysis.
Color Theme
Available presets:
Green / Red
Blue / Orange
Purple / Yellow
Teal / Pink
Custom
Purpose:
Adapts the indicator visually to different chart styles and backgrounds.
📈 How to Use in Trading
Typical use cases:
SMT divergence detection
Intermarket confirmation
Reversal timing
Liquidity sweep context
SMC / ICT models
Recommended combinations:
Market Structure (BOS / CHoCH)
Fair Value Gaps
Liquidity levels
Session highs /lows
⚠️ Important Notes
PSP is context-based, not a standalone entry system
Best results on correlated markets:
BTC / ETH
Indices (ES / NQ / YM)
FX pairs (EURUSD / DXY)
DF Advanced Sector & RS AnalysisDF Advanced Sector & RS Analysis
Overview
This indicator is an all-in-one dashboard designed to give you an instant "health check" on any asset. Instead of opening multiple charts to check the market trend, sector performance, and fundamentals, this tool brings all that data into a single table on your screen.
It automatically detects if you are looking at a Stock, Crypto, or Forex pair and adjusts its benchmarks accordingly.
Key Features
1. Smart Asset Detection
Stocks: Compares performance against the S&P 500 (SPY).
Crypto: Compares performance against Bitcoin (BTC).
Forex: Compares performance against the US Dollar Index (DXY).
2. Sector Intelligence (Stocks Only)
If you are trading a stock, the indicator automatically identifies its sector (e.g., Technology, Energy, Finance) and compares the stock against that specific sector ETF.
Sector Trend: Tells you if the sector is in an Uptrend or Downtrend.
vs Sector: Shows if your stock is outperforming its own industry.
3. Relative Strength (RS) & Alpha
RS Rating (0-100): A score derived from RSI logic that measures how strong the asset is compared to the benchmark. A score above 70 is bullish.
Alpha: Shows how much the asset is beating (or lagging) the market over the last 20 days.
4. Fundamental Snapshot
Growth: Displays EPS (Earnings) and Revenue growth. You can toggle these between TTM (Trailing 12 Months) for a smoother view or Quarterly for recent performance.
Valuation: Displays the P/E Ratio (TTM). This is always calculated using Trailing Twelve Month data to provide a standard valuation metric.
5. The "Verdict" Score
The indicator combines Technicals, Fundamentals, and Sector Strength into a final 0-100 Score:
STRONG (Green): High probability setup (Score > 70).
NEUTRAL (Grey): Mixed signals (Score 50-70).
RISK (Red): Weak performance or fundamentals (Score < 50).
How to Use
Add to Chart: The table will appear in the corner of your screen.
Check the Score: Look for assets with a "STRONG" verdict.
Analyze the RS: Ensure the RS Rating is high (green) to confirm the asset is a market leader.
Check the Sector: For stocks, it is safer to buy when the "Sector Trend" is UP.
Settings
Table Position: Move the dashboard to any corner of the screen.
Text Size: Adjust the size to fit your screen resolution.
Financials Mode:
TTM: Uses 12-month data (Smoother, standard for long-term analysis).
Quarterly: Uses the most recent quarter vs. the same quarter last year (More volatile, good for earnings plays).
Note: P/E Ratio is always TTM regardless of this setting.
Disclaimer
This tool is for informational purposes only and does not constitute financial advice. Always do your own research before trading.
ATR DEEPATR Bottom Indicator:
ATR Bottom is a dynamic support level based on market volatility (ATR) and a long-term moving average. It helps identify a price zone where downside risk significantly increases.
Unlike static levels, this indicator adapts to current market volatility and adjusts as market conditions change.
How it works:
Calculated using a moving average and ATR
The level represents the difference between average price and volatility
Always plotted below price and updates dynamically
Not a standalone entry signal
Interpretation:
Price above the line — market remains stable
Price touching the line — potential reaction or slowdown zone
Close below the line — sign of scenario shift and increased bearish pressure
Important:
Does not predict exact market bottoms
Designed for scenario-based analysis
Best used in combination with other analytical tools
Delta Flow Profile [Ham]Variation of LuxAlgo original. The "Show Values" options allows you to turn off volume values printed on each bar. Also increased number of rows available
PowerCandles - FVGThe FVG Body Highlighter is a high-visibility tool designed to identify institutional displacement and price imbalances in real-time. By focusing strictly on the Fair Value Gap (FVG) sequence, it isolates the exact moment "Smart Money" enters the market with enough force to leave an imbalance behind.
Core Functionality
Mechanical Detection: Automatically scans for the 3-candle FVG sequence where the wick of Candle 1 and the wick of Candle 3 fail to meet, leaving a "gap."
Body-Centric Highlighting: Unlike standard box-heavy indicators, this tool colors the entire body of the second candle (the displacement bar). This keeps your chart clean and highlights the force of the move rather than just the area.
Institutional Intent: It filters out noise by only marking candles that create a true structural gap, signaling that a significant buy or sell program has been initiated.
Strategic Use
Trend Confirmation: Use the body highlight as a "green light" that momentum has shifted in your direction after tapping a key institutional level.
Zero-Clutter Mapping: Because it highlights bars rather than drawing boxes into the future, it is perfect for traders who prefer a clean price action chart but want to catch every Fair Value Gap as it forms.
Confluence Entry: An A+ setup occurs when the FVG Body Highlighter triggers as price bounces off a PDH/PDL or Midnight Open level.
Power200EMA - MTF 200 EMA SuiteThe MTF 200 EMA Suite is a trend-confluence tool designed to reveal institutional support and resistance levels across multiple timeframes simultaneously. By plotting the 200-period Exponential Moving Average from six different time horizons onto a single chart, it allows you to identify "Power Zones" where various market cycles overlap.
Core Functionality
Multi-Timeframe Visibility: On a single lower-timeframe chart (like the 1m or 5m), you can see exactly where the 200 EMA sits on the 1m, 3m, 5m, 15m, 1h, and 4h horizons.
Institutional Benchmarking: The 200 EMA is the primary "line in the sand" used by institutional algorithms and bank traders to determine long-term trend bias.
Dynamic Clustering: When multiple EMA lines converge or "cluster" in one price area, it identifies a high-probability zone of institutional interest.
Floating Labels: Each line features an auto-updating label at the current price bar, allowing you to instantly identify which timeframe you are looking at without hovering over the plots.
Strategic Use
Trend Filter: Trade only in the direction where price is relative to the majority of the EMAs (e.g., only buy when price is above the 1h and 4h lines).
Mean Reversion: Use the higher-timeframe lines (1h/4h) as targets for price to return to during volatile over-extensions.
Support/Resistance: Use EMA clusters as "hard" barriers to place stops behind or to look for bounce-entry confluence.
PowerLevels - Key Daily LevelsThe Institutional Levels standalone indicator plots the following key price and volume levels directly on your chart:
PDH & PDL (Previous Day High/Low): Displays the high and low of the prior session using time-anchored logic to ensure accuracy across the weekend gap.
POC (Point of Control): The price level where the most volume was traded during the previous New York RTH session.
VAH & VAL (Value Area High/Low): Marks the boundaries of the price range where 70% of the previous day's volume took place.
Settlement: The official previous-day closing price as determined by the CME exchange.
Midnight Open: A horizontal line marking the opening price at 12:00 AM New York time for the current session.
NDOG (New Day Opening Gap): Automated boxes highlighting the gap between the previous day's close and the current day's open, including a dashed midline.
NWOG (New Week Opening Gap): Automated boxes highlighting the gap between Friday’s close and Sunday’s open, including a dashed midline.
Midnight V-Line: A vertical separator marking each new daily session to maintain a clear visual narrative.
Bands and Channels Laboratory [DAFE]Bands and Channels Laboratory : The Ultimate Volatility & Envelope Engine
40+ Unique Algorithms. The Revolutionary MTF Horizon Display. Smart Kill Zones & Pattern Recognition. This is not just a band indicator; it is the definitive toolkit for mastering market volatility.
█ PHILOSOPHY: BEYOND THE BAND, INTO THE LABORATORY
Standard band indicators like Bollinger Bands or Keltner Channels are built on a simple, powerful idea: price tends to revert to a mean, and its deviation from that mean is a measure of volatility. However, their core calculations are primitive. A simple moving average for the basis and a simple standard deviation for the width are blunt instruments in a market that demands surgical precision and adaptability.
The Bands and Channels Laboratory was not created to be another band indicator. It was engineered to be the final word on volatility and envelope analysis. This is not just an indicator; it is a powerful, interactive research environment. It is a laboratory where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a volatility system that is perfectly synchronized with the unique physics of your market.
We have deconstructed the very concept of a "band," separating it into its three core components— The Basis (Center Line) , The Deviation (Width) , and The Band Type (Envelope Logic) —and rebuilt each one with a library of dozens of advanced algorithms. This modular approach provides an almost infinite number of unique combinations, allowing you to construct a tool that is truly your own.
█ WHAT MAKES THIS THE "ULTIMATE" LABORATORY? THE CORE INNOVATIONS
This tool stands in a class of its own, offering a suite of proprietary features that collectively create an unparalleled analytical experience.
The 40+ Algorithm Core (Modular Engine): This is the heart of the Laboratory. You have independent control over the mathematical engine for each part of the band:
22 Basis Algorithms: Choose anything from a classic SMA to a zero-lag Hull MA, an adaptive KAMA, or a proprietary DAFE engine for your center line.
16 Deviation Algorithms: Move beyond simple standard deviation. Use statistically robust measures like Parkinson Volatility, advanced concepts like the Ulcer Index, or proprietary DAFE engines like "DAFE Dark Matter" to calculate your band width.
14 Band Types: Select the fundamental logic, from Bollinger and Keltner to unique DAFE models like "DAFE Quantum Bands."
The MTF Horizon Display: A revolutionary leap in data visualization. The Horizon projects up to three "holographic" displays of higher-timeframe band metrics (like Bandwidth % or Squeeze State) directly onto your main price chart. You can now see the "Macro Volatility" of the 1-Hour, 4-Hour, and Daily charts without ever leaving your 5-minute screen.
The Smart Kill Zone Engine: The indicator automatically identifies, plots, and tracks high-probability reversal zones. These are not based on simple price pivots. They are generated by identifying price levels where price interacted with the bands on high volume and with significant momentum, marking a true, institutionally defended level.
The Pattern Recognition Engine: The Laboratory isn't just reactive; it's proactive. It automatically detects and labels critical band patterns, including multiple types of Squeezes (Coiling, Compression), strong Walking Bands trends, and subtle Band Divergences that often precede major reversals.
The Visualization Core: Data should be intuitive and beautiful. Choose from 11 distinct, animated, and theme-aware rendering modes . From the glowing "Quantum Field" and flowing "Plasma Storm" to the abstract "Neural Network," you can transform the simple band into interactive data art.
█ A GUIDED TOUR OF THE ALGORITHMIC CORE
This is your library of mathematical DNA. Understanding your tools is the first step to mastery.
THE ENGINE FAMILIES
The Basis Algorithms (Center Line): You have over 22 choices. Replace the lagging SMA with a Hull MA for zero lag, a KAMA for adaptivity, or the DAFE Tensor Cloud for a 4D average of OHLC data. Your center line is now as intelligent as you want it to be.
The Deviation Algorithms (Band Width): You have over 16 choices. Go beyond simple standard deviation. Use advanced statistical measures like Garman-Klass or Yang-Zhang for a more efficient estimate of volatility. Or, deploy proprietary DAFE engines like DAFE Entropy , which widens the bands in chaotic markets, or DAFE Elastic , which resists extreme expansion.
The Band Types: Choose from 14 fundamental logics, including classics like Bollinger Bands, Keltner Channels , and Donchian Channels , as well as proprietary DAFE models like the DAFE Quantum Bands , which use a noise-canceling step function for their width.
█ ACTIONABLE INTELLIGENCE: THE SIGNAL & PATTERN ENGINES
The Laboratory transforms bands from a simple contextual tool into a complete trading framework.
The Signal Engine: You are not limited to one strategy. Choose from eight distinct signal modes, from classic Mean Reversion on a band touch to aggressive Squeeze Breakouts or robust Trend Following signals. The "Smart Composite" mode uses a multi-factor scoring system to identify only the highest quality setups.
The Pattern Engine: This is your early warning system.
Squeeze Classification: It doesn't just tell you there's a squeeze; it classifies its type ("Coiling," "Compression"), giving you insight into the potential energy being stored.
Walking the Bands: It automatically detects when price is "walking" or "riding" the upper or lower band—the signature of an extremely powerful trend.
Band Divergence: It alerts you to subtle but powerful divergences between the trend of the price and the trend of the bandwidth, often signaling trend exhaustion before it's visible in price action.
█ THE MASTER DASHBOARD: YOUR "AT-A-GLANCE" COMMAND CENTER
The professional-grade dashboard provides a comprehensive, real-time summary of the entire volatility system's state.
Position & State: Instantly see the price's position relative to the bands (%B), the current Bandwidth percentage, and the overall Volatility Regime (HIGH, LOW, NORMAL).
Pattern Readout: Get a real-time display of the currently detected band pattern (e.g., "SQUEEZE: COILING," "WALKING UPPER").
Signal Status: Confirms the most recent signal generated by your chosen signal mode and displays its calculated "Strength."
Optimizer Data: When enabled, shows the backtest results of your current settings, including Win Rate, Profit Factor, and a proprietary Robustness Score.
█ DEVELOPMENT PHILOSOPHY
Bands Laboratory Ultra was born from a fascination with the physics of the market: the constant ebb and flow between equilibrium and chaos, compression and expansion. We believe that volatility is not just a risk metric; it is the very energy that drives all market movement. This tool was designed for the serious trader who seeks to understand and harness that energy. It is for the analyst who wants to deconstruct, test, and build a volatility tool that is a perfect extension of their own mind.
This Laboratory is designed to help you be wrong less often by providing a crystal-clear, multi-dimensional view of market volatility, allowing you to filter out low-probability trades and act with precision when the odds are stacked in your favor.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides a sophisticated volatility and signal framework. It must be integrated into a complete trading plan that includes your own analysis and risk management.
TEST, DON'T GUESS: The power of this tool is its adaptability. Use the built-in Optimizer Engine to rigorously test different algorithm combinations and settings on your chosen asset and timeframe.
START WITH A ROBUST BASE: A classic "Bollinger Bands" type with a "Hull MA" basis and "Standard Deviation" is an excellent, low-lag starting point. From there, begin experimenting with more advanced deviation methods or basis algorithms.
USE CONFLUENCE: The highest probability signals come from confluence. A "Squeeze Breakout" buy signal that is confirmed by high volume, a bullish ADX, and alignment with the MTF Horizon is an A++ setup.
"In the business of trading, the winner is not the person who is never wrong, but the person who is wrong the least."
— William Eckhardt, Market Wizard
Taking you to school. - Dskyz, Trade with Bands. Trade with Channels. Trade with Bands and Channels Laboratory
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
By Ludovic B
Modified source code of SeerQuant
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
Institutional Structure [Clean Pro]Institutional Structure — Script Explanation
This script is designed to map institutional market behavior using high-timeframe structure, not retail noise.
It focuses on where smart money acts, not on frequent signals.
🔹 1. High-Timeframe Support & Resistance (HTF S/R)
The script identifies major structural highs and lows using a higher lookback period.
Purpose:
Defines where institutions previously distributed or accumulated
Acts as natural decision zones
Filters out low-quality intraday levels
Why it matters:
Institutions trade from key HTF levels, not random support/resistance.
🔹 2. Equilibrium (50% Mean Price)
The equilibrium line represents the fair price between HTF high and low.
How it’s used:
Below equilibrium → discount zone (buy interest)
Above equilibrium → premium zone (sell interest)
Professional insight:
Smart money prefers buying discounts and selling premiums, not chasing price.
🔹 3. Market Structure Shift (MSS)
Instead of frequent BOS labels, the script detects true directional shifts.
Bullish MSS:
Price closes above previous HTF high
Bearish MSS:
Price closes below previous HTF low
Why MSS over BOS:
MSS confirms control change
Reduces false signals
Aligns with institutional execution logic
🔹 4. Liquidity Sweep Detection (Wick-Based)
The script identifies stop-hunt behavior using wick rejection logic.
Buy-side liquidity:
Wick above HTF high, but close back below
Sell-side liquidity:
Wick below HTF low, but close back above
Meaning:
Stops were triggered, but price failed to accept → smart money absorption
🔹 5. Fair Value Gap (FVG) – Refined Imbalance
Fair Value Gaps highlight inefficient price movement.
Bullish FVG:
Price leaves an upside imbalance
Bearish FVG:
Price leaves a downside imbalance
How pros use it:
As reaction zones, not entry signals
Best combined with liquidity + MSS
🔍 How Everything Works Together
The script is context-based, not signal-based:
1️⃣ HTF structure defines the battlefield
2️⃣ Liquidity is taken (stop hunts)
3️⃣ MSS confirms direction
4️⃣ FVG offers precision
5️⃣ Equilibrium filters bias
This creates high-probability trade environments, not overtrading.
📌 Best Practices (Professional Use)
Timeframes: 1H / 4H / Daily
Avoid lower TF noise
Trade only after liquidity is taken
Use FVG as confirmation, not trigger
Respect equilibrium bias
🎯 Summary
✔ Clean institutional logic
✔ No clutter, no spam
✔ HTF-driven decisions
✔ Liquidity-first mindset
✔ Designed for BTC, Gold & FX
🧠 Trade where institutions trade — not where indicators flash.
Core Market Levels [UkutaLabs]█ OVERVIEW
Core Market Levels is a precision trading indicator designed to identify the most important price levels where the market consistently makes decisions.
Rather than flooding the chart with unnecessary lines, this indicator focuses on core reference levels derived from recent price structure and market balance. These levels often act as high-probability areas of reaction, where price may stall, reverse, or accelerate.
The goal of Core Market Levels is to simplify decision-making by highlighting the prices that matter most, allowing traders to better understand market context, bias, and potential turning points.
█ PURPOSE
Markets spend the majority of their time reacting around key reference prices, not trending endlessly.
Core Market Levels helps traders:
Identify important decision zones
Anticipate areas of support, resistance, and liquidity
Improve entries, targets, and risk management
Reduce chart noise and over-analysis
This indicator is designed to work across all markets and timeframes, making it suitable for both intraday and swing traders.
█ HOW IT WORKS
Core Market Levels dynamically plots a set of key price levels based on recent market behavior.
These levels often represent:
Areas of prior acceptance or rejection
Zones where price frequently changes direction
Levels institutions are likely to reference for execution
When price approaches a Core Market Level, traders should expect increased interaction and watch for confirmation before entering trades.
█ USAGE
Core Market Levels can be used in several ways:
As support and resistance
As entry and exit reference points
For stop-loss and take-profit placement
To define market bias (above vs below key levels)
For best results, combine Core Market Levels with:
Price action
Candlestick patterns
Volume or momentum tools
Market structure analysis
█ BEST PRACTICES
Avoid treating levels as exact prices — think of them as zones of interest
Look for confluence with other forms of analysis
Higher timeframe Core Market Levels tend to carry more weight
Let price confirm before taking trades
█ FINAL NOTES
Core Market Levels is not a signal generator.
It is a market framework tool designed to help traders read price more clearly and make better, more informed decisions.
Used correctly, it provides a clean, objective way to stay aligned with the market’s most important levels.
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
based on Seequant indicator
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
