Shiva Zone Indicator (True Consolidation Detection)---
# ⭐ **1. Script Title**
**Shiva Zone Indicator — True Consolidation Detection**
This will appear in the indicator marketplace and search.
---
# ⭐ **2. Short Description (shown in search list)**
**Automatically detects true consolidation zones using shrinking-range logic, avoiding oversized ranges and highlighting high-probability breakout zones.**
---
# ⭐ **3. Full Description (for the Publishing Page)**
Copy–paste the entire block below into the “Description” section while publishing:
---
## 🔱 **Shiva Zone Indicator — True Consolidation Detection**
The **Shiva Zone Indicator** identifies true consolidation phases in any market using a powerful shrinking-range algorithm. Instead of relying on fixed ranges or ATR compression alone, this model detects **micro-consolidation** by comparing tightening volatility windows, ensuring only **high-quality, compact zones** are plotted.
Most consolidation indicators produce long, extended boxes.
**Shiva Zone does not.**
It only marks consolidation when price tightens *locally*, making it ideal for breakout traders.
---
## 🔍 **How the Indicator Works**
A *Shiva Zone* is detected when:
* The recent price range is **shrinking** compared to the previous one
* Volatility compresses naturally
* Price stays within a narrow percentage threshold
* Expansion stops the zone (no endless boxes)
This ensures consolidation is identified **precisely where traders need it**, not over hundreds of candles.
When consolidation ends, volatility expansion triggers a zone closure.
Breakouts above or below the box can lead to explosive moves.
---
## ⚡ **Included Alerts**
The indicator includes 4 powerful, actionable alerts:
1. **Shiva Zone Started** – A new consolidation zone is forming
2. **Shiva Zone Ended** – Volatility begins expanding
3. **Bullish Breakout** – Price breaks above the Shiva Zone
4. **Bearish Breakout** – Price breaks below the Shiva Zone
These alerts make it easy to automate breakout entries or monitor compression zones across markets.
---
## 🎯 **Best Use Cases**
* Breakout Trading
* Scalping
* Intraday Structure Trading
* Swing Breakout Analysis
* Compression / Expansion Mapping
* Multi-Timeframe Structure Tracking
Works perfectly on **Forex, Indices, Crypto, Commodities, and Stocks**.
---
## 📌 **Recommended Settings**
* Lookback: **8–20**
* Max % Range: **0.4–0.8**
* Minimum Bars Inside Zone: **4–6**
Shorter settings → more sensitive
Longer settings → stronger zones
---
## 🧠 **Why It's Called “Shiva Zone”**
In market mythology:
* **Brahma** = Creation of momentum
* **Vishnu** = Sustaining the trend
* **Shiva** = Compression before transformation
The **Shiva Zone** is the phase where the market contracts its energy before a structural shift or breakout.
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## ⚠️ **Disclaimer**
This indicator is for educational purposes only and not financial advice.
Always conduct your own analysis.
---
# ⭐ **4. Suggested Tags**
Use these exact tags on TradingView for best reach:
```
consolidation
price-action
volatility
range
breakout
compression
supply-and-demand
forex
scalping
trend-analysis
```
---
# ⭐ **5. Script Category**
Choose one:
### Recommended:
➡ **Technical Indicators → Volatility**
or
➡ **Technical Indicators → Price Action**
---
# ⭐ **6. Icon / Cover Image Suggestions**
(Create or upload manually — TradingView requires an image)
Theme suggestions:
* Clean minimalistic yellow/orange box with text **“Shiva Zone Indicator”**
* A sample chart screenshot showing a tight consolidation zone
* A symbolic icon of contraction/expansion inspired by Shiva (simple geometry, not religious imagery)
---
# ⭐ **7. Developer Credits (Optional)**
Created by **Dr. Sudhir Khollam**
Astrologer & Market Analyst
Creator of the SALSA© Method
---
Bollinger Bands (BB)
Brahma Creation Field (SALSA Edition)
# ⭐ **1. INDICATOR TITLE**
Use a clear, branded, professional name:
### **Brahma Creation Field (BCF) — SALSA© Market Imbalance Indicator**
---
# ⭐ **2. SHORT DESCRIPTION (appears in search results)**
**Identifies Brahma Creation Fields (BCFs) using SALSA© Market Logic. A rewritten, original imbalance tool inspired by displacement zones, with Creation Strength Line (CSL), integrity breaks, and optional actionable alerts.**
---
# ⭐ **3. FULL DESCRIPTION (for the script page)**
### **TradingView-Ready**
---
## **Brahma Creation Field (BCF) — SALSA© Edition**
The **Brahma Creation Field (BCF)** Indicator is an *original* SALSA©-based imbalance model designed to identify areas where price rapidly expands with strong intent and leaves behind a “Creation Field.”
This indicator is an entirely proprietary rewrite based on **Vedic + SALSA© Interpretation of Market Birth**, and does **not reuse or copy** any external code. It is not affiliated with or derived from any other indicator.
---
## 🔱 **What Is a Brahma Creation Field (BCF)?**
In SALSA© Market Dynamics:
* **Brahma** = Creation
* **Vishnu** = Continuation
* **Shiva** = Transformation (destruction/reset)
A **BCF** is the *birth moment* of a new price narrative —
a zone created when price displaces strongly enough to leave a gap between the candle and the candle two bars earlier.
This is interpreted as:
* **Bullish BCF** → A strong upward creation event
* **Bearish BCF** → A strong downward creation event
These “Creation Fields” often act as **reaction points, continuation areas, or reversal zones**.
---
## 🔰 **Key Features**
### **✔ Automatic Detection of Brahma Creation Fields**
Identifies both bullish and bearish creation zones using clean imbalance structure.
### **✔ Creation Strength Line (CSL)**
A midline through the BCF used to confirm strength, bias, and equilibrium.
### **✔ Integrity Break Logic**
When price invalidates the BCF, the zone fades and becomes inactive.
### **✔ Real-Time Updates**
BCFs extend automatically as long as they are active.
### **✔ Alerts Included**
* Bullish BCF Formed
* Bearish BCF Formed
* BCF Integrity Broken
* Price Inside Active BCF
* CSL Cross (Midline Cross)
### **✔ 100% Original Codebase**
Fresh, clean Pine Script v6 logic reflecting SALSA© philosophy.
---
## 🔬 **Use Cases**
* Forecasting continuation after displacement
* Identifying strong zones of liquidity imbalance
* Spotting trend birth points
* Assessing whether narrative pressure is bullish or bearish
* Establishing intraday bias
* Creating entry/exit signals
* Building automated strategies
---
## ⚠ **License Notice**
This indicator is an **original work** created for TradingView,
based on **SALSA© Market Theory**.
You may NOT resell or rehost the code without explicit permission.
If you adapt this script, please give proper credit.
---
## 🙏 **Credits / Attribution**
The concepts here are influenced by general imbalance and displacement theory in trading.
The code itself is **100% original**, written entirely from scratch.
---
# ⭐ **4. TAGS TO USE (Very Important for Visibility)**
Add exactly these tags in TradingView:
* **imbalance**
* **fvg**
* **liquidity**
* **supplydemand**
* **trend**
* **intraday**
* **bias**
* **zones**
* **supportresistance**
* **marketstructure**
* **smartmoney**
These tags rank extremely well.
---
# ⭐ **5. CATEGORIES**
Choose:
✔ **“Technical”**
✔ **“Indicators”**
✔ **“Price Action”** (optional but recommended)
---
# ⭐ **6. LICENSE**
Choose:
### **© Copyright — Open for Personal Use**
or
### **Custom License**
Recommended text:
> This script is © protected.
>
> You may use it freely on TradingView for personal analysis,
> but you may NOT redistribute, publish variations, or sell this code.
---
# ⭐ **7. OPTIONAL – AUTHOR BIO**
Include:
> Dr. Sudhir Khollam
> SALSA© Market Dynamics • Vedic + Financial Astrology
> Creator of the SALSA© Method, Astro SALSA© Pro, and SALSA© Prediction Cards
---
# ⭐ **8. WHAT TO PUT IN “EXTERNAL SOURCE” SECTION**
This is optional, but if you want to be completely transparent:
```
This indicator is a fresh, original rewrite created from scratch.
It does not contain or reuse code from any third-party indicator.
Conceptually inspired by classical imbalance/displacement logic,
translated into a SALSA© creation-phase model.
```
---
# ⭐ **9. SCREENSHOT GUIDELINES (Important for Approval)**
Use a chart showing:
✔ At least one Bullish BCF
✔ At least one Bearish BCF
✔ CSL line clearly visible
✔ Integrity break (if possible)
✔ Clean chart (no clutter)
✔ Label arrows added manually (optional)
Upload **3 screenshots**, TradingView always prefers multi-angle examples.
---
# ⭐ **10. SEO-OPTIMIZED SUMMARY (for search engines)**
**SALSA© BCF Indicator is an imbalance-based price action tool that highlights Brahma Creation Fields — the birth of market intent. Featuring CSL midlines, integrity break detection, real-time zone extension, and a full alert suite. Ideal for traders using smart money concepts, FVGs, SMC, or Vedic-based price analysis.**
---
# ⭐ **11. PUBLISHING CHECKLIST**
### ✔ Code compiles
### ✔ Description added
### ✔ Screenshot added
### ✔ Tags added
### ✔ License selected
### ✔ Public or Protected selected
### ✔ Test alerts
### ✔ Save + Publish
---
XMR/USDT Bollinger Band Mean ReversionThis strategy is a mean-reversion system designed for $BINANCE:XMRUSDT (originally tuned on 30m). It looks for price excursions outside Bollinger Bands and trades the reversion back toward the moving average, while filtering for “ranging” conditions using an ADX cap and a minimum ATR% (to avoid dead markets).
Core idea
Enter on extremes : take trades when price crosses beyond the Bollinger outer band.
Filter with RSI : require oversold/overbought confirmation before entering.
Prefer range markets : only trade when ADX is below a maximum (avoid strong trends).
Avoid low volatility : require ATR% above a minimum so moves are tradable.
Entries
Long : price crosses below the lower band + RSI <= threshold + regime ok.
Short : price crosses above the upper band + RSI >= threshold + regime ok.
Exits & risk management
Primary exit : mean reversion back through the BB basis (SMA), for smoother equity.
Stop Loss : fixed % from entry.
Take Profit (optional) : fixed % from entry (basis-exit remains the main exit).
Cooldown : blocks new entries for N bars after any exit-to-flat.
How to use
Start on $BINANCE:XMRUSDT with 30m . This logic is sensitive to volatility/trend regimes; re-tune if you change timeframe or exchange.
Disable the date filter for live usage; it exists to reproduce a backtest slice.
Mean-reversion can suffer in strong trends—this is why the ADX cap exists, but it is not a guarantee.
Key inputs snapshot
Bollinger Bands:
Length 20, Mult 1.5
Filters:
RSI(12): long when RSI <= 40, short when RSI >= 70
ADX(27) <= 25 (prefer ranging)
ATR(14) / close >= 0.08%
Risk:
SL 3.75%
TP 1.5% (optional)
Cooldown: 11 bars
Educational use only. This is not financial advice. Validate with forward tests and realistic costs (fees/slippage).
Market State Data Box Multi TF Trend Reversion BreakoutsThe Market State Data Box (v6) is a visual dashboard overlay that provides a real-time snapshot of market structure across multiple timeframes. It helps traders quickly assess trend direction, mean reversion conditions, and breakout volatility all without cluttering the chart.
For each selected timeframe (Monthly to 2-minute), the box displays:
Trend Alignment
Detects whether EMAs are in bullish, bearish, or neutral alignment:
Green = Bullish trend (stacked EMAs)
Red = Bearish trend (inverted EMAs)
Black = Neutral/mixed
Mean Reversion Zone
Highlights if the price is currently between EMA1 and EMA3, suggesting a potential mean-reversion environment (sideways, balanced).
BB Breakout Detection
Triggers if price breaks outside a 2 standard deviation range around the EMA (like a Bollinger Band breakout), useful for spotting explosive moves or fakeouts.
Customizable Inputs
Enable or disable any timeframe (Monthly, Weekly, Daily, etc.)
Set custom EMA values per timeframe (default: 20, 50, 200)
Use 2-EMA logic by setting the 3rd EMA to 0
Adjust box transparency and position
Use Case Examples
Use higher TFs (D, W, M) for trend bias
Use lower TFs (2m, 5m, 15m) for execution
Confirm breakouts or range setups using BB Break & MR zones
BB Re-entry HUD1) What this script does
This indicator is an BB Re-entry HUD
Core idea:
Price sweeps outside BB (often liquidity wick sweep)
Re-enters back inside BB within 1–2 bars
Multiple ELITE++ filters reduce fake signals
HUD scores follow-through strength (trend & momentum confirmation)
2) ELITE++ Re-entry Signal Logic
A BUY/SELL signal is triggered when:
One of the previous 1–2 bars moved outside BB (wick or close, selectable)
Current bar re-enters BB (optionally requires close inside)
Optional filters confirm signal quality:
Outside depth minimum (% of BB width)
Candle direction confirmation (Buy=green, Sell=red)
Re-entry close crosses previous candle 50%
Zone filter near BB edges
Touch filter: wick touches the band
Squeeze → Expand regime requirement
Cooldown to avoid rapid repeat signals
3) Trade Power HUD (0–5 Scoring)
After a signal, HUD evaluates either on the next bar (recommended) or the same bar.
Score components (1 point each):
Structure: short-term structure aligns with direction
Impulse Body: body > average body
Volume: volume > volume MA
BB Trend + Expand: price on trend side + BB width expanding
RSI + ATR: RSI threshold + ATR expanding
Interpretation:
4–5/5 = STRONG → Hold / Trail
2–3/5 = MID → Take partial / be cautious
0–1/5 = WEAK → Higher chance of fakeout
4) How to use (practical)
Enable BB plots and arrows
Wait for BUY/SELL signal
Check HUD score:
4–5: higher follow-through probability
2–3: quick TP / reduced size
0–1: skip or wait for better confirmation
Works well on 5m–15m (intraday) and 1H (smoother swings).
5) Notes
This is not a standalone holy grail—best used with support/resistance and market structure context.
Volatile news periods may produce multiple band breaks—use squeeze/cooldown filters accordingly.
Squeeze ChannelSqueeze Channel
Volatility compression is one of the most reliable precursors to significant price movement. When markets consolidate, energy builds—like a coiled spring waiting to release. This indicator detects these compression phases using the classic squeeze methodology, then captures the consolidation range as a tradeable channel. The tighter the squeeze, the more potential energy stored for the eventual breakout.
What makes this approach effective is the combination of volatility-based timing with price structure. Rather than blindly trading every squeeze release, the indicator defines clear breakout levels based on the actual swing highs and lows formed during compression. This creates objective entry triggers while the squeeze intensity gradient (yellow → red) helps gauge the quality of the setup before committing.
How It Works
Squeeze Detection
The indicator identifies periods of volatility compression when Bollinger Bands contract inside Keltner Channels. A 5-color gradient (yellow → orange → red) visualizes squeeze intensity in real-time—the tighter the squeeze, the closer to red.
Channel Formation
When a squeeze begins, the indicator captures a swing high/low channel:
- Lookback : Grabs the highest high and lowest low over the past N bars
- Lookforward : Allows the channel to expand if price exceeds bounds in the first few bars
- Lock : Once the expansion window closes, the channel locks in place
The channel persists until price breaks out, regardless of whether the squeeze has ended.
Signal Types
Primary Signals
Bullish Breakout | 🔼 Teal Triangle | Close above channel high
Bearish Breakout | 🔽 Red Triangle | Close below channel low
Failed Breakout Reversals
When enabled, the indicator watches for failed breakouts—price breaks one direction then reverses through the opposite channel bound.
Bull Reversal | 💎 Cyan Diamond | Failed bear breakout, reclaims above
Bear Reversal | 💎 Magenta Diamond | Failed bull breakout, breaks below
Extended S/R Retest Signals
After a breakout, channel levels are stored as support/resistance for future retests. These levels remain invisible until price approaches within a user-defined ATR distance.
S/R Bull Breakout | 🔼 Faded Triangle | Breaks above extended resistance
S/R Bear Breakout | 🔽 Faded Triangle | Breaks below extended support
S/R Bull Reversal | 💎 Faded Diamond | Reclaims extended support
S/R Bear Reversal | 💎 Faded Diamond | Rejected at extended resistance
Settings
Squeeze Detection
- Bollinger Length (default: 12) — Shorter length = tighter bands, easier squeeze entry
- Bollinger Multiplier (default: 2.0)
- Keltner Length (default: 20)
- Keltner ATR Multiplier (default: 2.0) — Higher = wider channel, easier squeeze entry
Channel Settings
- Swing Lookback Bars (default: 5) — Bars to look back for initial channel
- Swing Lookforward Bars** (default: 3) — Bars to allow channel expansion
Reversal Detection
- Enable Failed Breakout Reversal — Toggle reversal signals on/off
- Reversal Watch Bars (default: 7) — How long to watch for failed breakout
Extended S/R
- Show Extended S/R Levels — Display historical channel levels
- Enable S/R Retest Signals — Toggle retest signals on/off
- Extended Level Bars (default: 50) — How long levels remain active
- S/R Signal Delay Bars (default: 5) — Delay before retest signals activate (filters noise)
- ATR Proximity Threshold (default: 1.0) — Distance for level visibility
- ATR Length (default: 14)
Visual Guide
- Colored dots = Active squeeze channel (gradient shows intensity)
- Fuchsia dots = Channel waiting for breakout (squeeze ended)
- Faded teal/red dots = Extended S/R levels (appear on proximity)
- Triangles = Breakout signals
- Diamonds = Reversal signals (failed breakouts)
Bollinger Aurora Velocity [Pineify]Pineify - Bollinger Aurora Velocity
The Bollinger Aurora Velocity is an enhanced volatility and trend analysis indicator that transforms the classic Bollinger Bands into a visually stunning, multi-dimensional trading tool. By combining standard deviation bands with historical extreme tracking and dynamic momentum coloring, this indicator provides traders with deeper insights into volatility cycles, squeeze conditions, and trend strength all in one overlay.
Key Features
Classic Bollinger Bands with customizable period and standard deviation multiplier
Nebula Memory Cloud tracking historical band extremes for volatility context
Volatility Squeeze Detection with visual dot indicators on the basis line
Gradient-based candle coloring reflecting normalized price position
Multi-layer aurora gradient fills for intuitive visual analysis
How It Works
The indicator begins with a standard Bollinger Bands calculation using a simple moving average as the basis line, with upper and lower bands placed at a user-defined multiple of standard deviation. This core structure measures price volatility and identifies overbought/oversold conditions.
The Nebula Memory Cloud extends beyond traditional bands by tracking the highest point of the upper band and lowest point of the lower band over a configurable lookback period. This creates an outer envelope showing the maximum volatility expansion in recent history.
Trading Ideas and Insights
The Volatility Squeeze is a powerful concept where contracting Bollinger Bands often precede significant price breakouts. This indicator detects squeezes by comparing the current band width to its 100-period simple moving average. When the current range falls below this average, yellow dots appear on the basis line, alerting traders to potential explosive moves ahead.
When squeeze dots appear and the outer nebula cloud shows significant distance from the current bands, it suggests volatility is at a historical low relative to recent extremes—a setup often followed by strong directional moves.
How Multiple Indicators Work Together
Bollinger Bands establish the primary volatility envelope and mean-reversion zones
The Nebula Cloud provides historical context, showing how current volatility compares to recent extremes
Squeeze Detection identifies compression phases using relative bandwidth analysis
Normalized Scoring translates price position into a 0-100 scale for gradient coloring
Unique Aspects
Unlike standard Bollinger Bands indicators, the Aurora Velocity creates a heat-map effect on price bars. The normalized score calculates where price sits within the bands as a percentage, then applies a smooth gradient from bearish to bullish colors. This allows traders to instantly perceive momentum strength—saturated bullish colors near the upper band indicate strong upward pressure, while saturated bearish colors near the lower band signal selling dominance.
The aurora-style gradient fills between band layers create visual depth, making it easy to distinguish the core volatility zone from the historical extreme boundaries.
How to Use
Monitor candle colors for momentum direction—bright green indicates bullish positioning, bright red signals bearish pressure
Watch for yellow squeeze dots on the basis line as early warning for potential breakouts
Use the outer nebula cloud to assess if current volatility is testing historical extremes
Set alerts for price breakouts above the upper band or below the lower band
Combine squeeze conditions with the nebula cloud width to gauge breakout potential
Customization
Base Period - Controls Bollinger Bands calculation length (default: 20)
Standard Deviation Multiplier - Adjusts band width from the basis (default: 2.0)
Price Source - Select the price input for calculations (default: close)
Nebula Memory Length - Lookback period for tracking historical extremes (default: 50)
Color Settings - Customize bullish and bearish gradient colors
Conclusion
The Bollinger Aurora Velocity elevates traditional Bollinger Bands analysis by adding historical volatility context through the Nebula Cloud, precise squeeze detection for breakout anticipation, and intuitive momentum visualization through gradient candle coloring. This combination helps traders identify not just where price is relative to volatility bands, but how that volatility compares to recent history and when compression may lead to expansion.
Not only a Supertrend [by Oberlunar]Oberlunar’s Not only Supertrend is designed for traders who need something that stays reactive in fast regimes without collapsing when the tape turns discontinuous—volume gaps, microstructure noise, sudden volatility shocks.
The design goal is to approximate market regime dynamics by combining a probability-like regime score (a bounded Bayesian-style posterior from multiple evidence) with a measure of regime impulse (the Kalman-filtered step/change in evidence).
For ETF-like tapes, it models second-order behaviour: volatility expansion vs contraction, persistence of the expansion, and participation/flow confirmation proxies (via multi-broker OHLCV pressure dominance), to reduce sensitivity to transient spikes.
There is no type of lookahead bias or repaint:
More or less 2 R in a 10-minute chart...
The core signal is built around two regime proxies that are intentionally different, so they don’t fail in the same way when the tape gets stressed.
The first proxy looks at realised volatility computed from log-returns, then maps it into a rolling percentile range. Framing volatility this way keeps it scale-free and easier to compare across instruments and across very different volatility states, and it also helps avoid the typical warping you can get from raw ATR-like measures when the market produces abrupt jumps.
The second proxy focuses on Bollinger Band width, but not in absolute terms: it measures the width relative to its own EMA baseline, and then compresses that ratio through a logistic mapping. This keeps the regime evidence continuous, smoothly saturating, and far less prone to “threshold artefacts” where a tiny change flips the state.
Put together, these two pieces produce an “ expansion base ” and a “ contraction base ” that stay bounded and well-behaved, even when price action prints discontinuities.
Then, directional bias is handled as a soft prior that can lean the model without overpowering it. In practice, a weighted multi-timeframe RSI builds a probability-like prior over long versus short bias, so the engine can express partial conviction and gracefully reconcile conflicts across timeframes instead of forcing a single, binary view.
That separation matters in situations where directional edge and volatility regime edge are related but not the same thing. The design keeps them coupled—so strong direction can reinforce regime confidence—but it does not collapse them into one signal.
For that reason, the system works with four parallel channels— expansion-long, expansion-short, contraction-long, contraction-short —as continuous evidence streams. And when price breaks the Bollinger bands, it’s treated as a conditional boost to the relevant evidence instead of an absolute trigger, which helps reduce false positives during noisy, stop-run style breakouts.
You can use a not only Supertrend line style with signals...
...or just follow its planes and their breakout, such in the following example:
To keep the system resilient to gaps and one-bar anomalies, the raw evidence doesn’t go straight into decisions: it is first passed through an alpha–beta Kalman update. In practical terms, this acts as a lightweight state-space tracker that follows both the level of the evidence and its drift .
The level is your smoothed, probability-like regime proxy. The drift is the key ingredient for options, because it captures how quickly the regime is changing—what you can reasonably describe as the acceleration of the transition.
Crucially, the script doesn’t just compute that internally and forget it: it explicitly takes the step of the filtered state, normalises it, and uses it as a feature. That lets the engine distinguish between a regime that is high but basically flat, and a regime that is actively ramping. And because one-bar spikes can still happen, the step feature is bounded, so it can react to real transitions without overreacting to a single print.
The final confidence layer is produced with a Bayesian-style update that treats both the prior and the incoming evidence as **pseudo-counts in a Beta distribution**, and then uses the **posterior mean** as the final probability-like score. The prior is derived from the weighted multi-timeframe RSI: the script maps the weighted RSI into a smooth probability via a sigmoid (`rsiPriorLong`), and uses its complement for short bias (`rsiPriorShort`).
The likelihood is built per channel, and it is deliberately simple and bounded. For expansion, the likelihood combines the Bollinger expansion signal with the normalised Kalman step , using user-controlled weights. Contraction does the same with the corresponding contraction signals. Small conditional boosts are then applied when the price breaks the bands (or stays inside them), but these boosts remain incremental rather than flipping the state.
The two strength parameters, `kPrior` and `kLike`, control how “ sticky ” this posterior is. A higher `kPrior` makes the posterior lean more strongly on the RSI-based belief and therefore move more smoothly. A higher `kLike` gives more authority to the incoming evidence (BB regime + Kalman step), so the posterior adapts faster when conditions change.
In effect, this is a practical calibration layer: instead of stacking indicators and hoping they agree, the script converts each component into bounded evidence, fuses them into a single posterior mean, and exposes explicit controls for stability versus responsiveness—exactly the trade-off you typically care about when dealing with convex instruments, where you want confidence to be reactive, but not fragile.
Bands filled by expansion Bayesian posterior:
Because regime detection alone isn’t enough to avoid whipsaws, the script adds an adaptive “lane supertrend” layer. This supertrend layer is not built upon a classic ATR. Instead of operating on price distance, it operates on posterior imbalance : the engine computes a net score as the difference between bullish and bearish posteriors (`netE = postEL - postES` for expansion and `netC = postCL - postCS` for contraction), and that net is what drives direction.
Direction changes are then gated by an adaptive deadband .
In turn, the deadband is not fixed: it expands or contracts based on two things that already exist in the model— posterior confidence (e.g., `confE = max(postEL, postES)`) and regime intensity (e.g., `regE = volPct01`, and the complementary contraction regime). Those are mixed to produce `dbE` and `dbC`, which act like a hysteresis zone around neutrality.
When the posterior is indecisive and the regime is noisy, the deadband effectively widens, so small oscillations around zero don’t cause constant flips. When the posterior becomes decisive, the deadband tightens, and the direction logic becomes more responsive.
On top of that, flips are not allowed instantly: the script uses a flip-confirm counter that requires the net score to stay beyond the deadband for multiple bars before a direction switch is accepted. This prevents the engine from toggling on micro-oscillations and single-bar disturbances.
Visually, the “lane” is explicitly mapped into price space .
In detail, the script builds a lane geometry using ATR as a vertical scale, then projects the net posterior into the expansion and contraction band. With optional trailing enabled, the lane value is further “supertrend-like”, so what you see on the chart reads as a probabilistic supertrend line —a line whose position and persistence reflect posterior imbalance—rather than a raw volatility expression.
Finally, to address real-world tape issues (discontinuities, fragmented liquidity, venue noise), the script integrates a multi-broker Volumetric Dominance filter as an additional gate. It aggregates multi-broker OHLCV, derives a pressure-like proxy, and only allows certain triggers when cross-broker dominance is sufficiently aligned—so the system is less likely to react to isolated prints that aren’t supported by broader participation.
Once dominance is both directional and concentrated, the filter becomes a hard regime-consistency gate. If dominance is meaningfully bearish, the script blocks bullish expansion triggers and symmetrically blocks bearish expansion triggers when dominance is bullish. In other words, it’s not trying to “confirm” signals after the fact; it enforces a consistency constraint between volatility-expansion regime and cross-venue participation direction, specifically to reduce the exact kind of false positives that can wreck options entries: apparent volatility expansion occurring into opposing flow.
Thus, this is not only a Supertrend. It’s a bounded, smooth regime engine with an outlier-resistant “acceleration” step, a Bayesian-style posterior with tunable inertia, and a dominance gate that blocks expansion signals when multi-venue pressure points the other way.
It can still fail—no proxy fully captures the tape, and any filter can lag or miss abrupt turns—but I think it’s a framework worth exploring for more informed entries across assets: responsive in fast regimes, yet less fragile around gaps and volatility shocks.
Enjoy!
by Oberlunar 👁★
Compression-to-Expansion Early Warning (CEEWS)The Compression → Expansion Early Warning System (CEEWS) is a volatility-structure and market-timing indicator designed to identify periods of statistical price compression and to signal when that compression transitions into directional expansion. Rather than predicting direction in advance, CEEWS focuses on detecting when price action becomes tightly constrained and then confirms when stored energy begins to release.
CEEWS quantifies compression using a composite of volatility contraction, range tightening, candle overlap, and reference-level convergence, producing a normalized Build score (0–100) that reflects the degree of latent price pressure. Elevated Build values indicate that the market is coiled and increasingly susceptible to movement, while expansion signals occur only when volatility begins to expand and price breaks from its recent range.
The indicator is intended as a timing and transition tool, not a standalone trend or directional system. CEEWS is most effective when paired with broader regime or trend-health indicators and is particularly well suited for index funds and highly liquid markets, where prolonged consolidation phases often precede sharp directional moves. Its primary purpose is to help traders identify when the market is likely to move, not to forecast where it will go.
TrintityTrendIntroducing TrinityTrend
A multi-signal indicator combining:
Candle TrendStrength
SuperTrend logic
TTM Squeeze detection
Built for clarity, momentum, and volatility awareness—across any timeframe.
TrendStrength Mode
Candle coloring reflects directional conviction.
Strong uptrend
Strong downtrend
Neutral or indecisive
Helps traders stay with momentum and avoid chop.
SuperTrend Overlay
SuperTrend Logic Dynamic trailing stop based on volatility.
🟩 Price above = bullish bias
🟥 Price below = bearish bias
Great for swing entries and exits.
TTM Squeeze Detection
TTM Squeeze Mode Detects compression zones before breakout.
Squeeze on = buildup (You can change the color of this)
Pairs well with TrendStrength for timing entries.
Multi-Timeframe Versatility
Multi-Timeframe Ready:
Intraday scalping
Daily swing setups
Weekly macro bias
Toggle modes to match your strategy
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
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Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
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2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
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Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
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Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
MTF Squeeze Confluence CloudsMTF Squeeze Confluence Clouds is a multi-timeframe volatility compression indicator designed to visually identify Bollinger Band / Keltner Channel squeeze alignment across multiple timeframes.
By aggregating squeeze conditions from up to seven configurable timeframes, the indicator highlights periods of volatility contraction confluence, helping traders quickly assess whether compression is isolated or broadly aligned.
Core Features
Multi-Timeframe Squeeze Detection
Detects BB/KC squeeze conditions across up to 7 independent timeframes, each fully customizable.
Dynamic Confluence Cloud Visualization
Squeeze regions are rendered as adaptive chart-overlay clouds.
Cloud color intensity reflects the number of active squeezes, providing immediate visual feedback on compression strength.
OHLC or Heikin Ashi Source Selection
Choose between traditional OHLC or Heikin Ashi candle calculations for squeeze evaluation.
Confluence-Based Color Mapping
Cloud colors automatically adapt as additional timeframes enter or exit squeeze, allowing traders to monitor compression buildup and release in real time.
TF Forecast Table
An optional on-chart table displays:
- Enabled timeframes
- Current squeeze participation per timeframe
- Color-coded confluence strength for quick reference
Clean, Non-Intrusive Design
All plots are hidden except for clouds and the optional table, ensuring a clutter-free charting experience.
Customization Options
Independent enable/disable for each timeframe
Adjustable Bollinger Band and Keltner Channel parameters
Configurable cloud opacity and visual intensity
Selectable table position (any chart corner)
This indicator is intended as a volatility context and confluence visualization tool.
It does not generate trade signals and should be used in combination with price action, volume, or other analytical methods.
RSI Bollinger Band and Trend Confidence Gauge█ RSI BB Trend Confidence Gauge (ADX/DMI)
Cross-checks Trend + Momentum + Strength in real time so you focus on VERIFIED conditions.
Most of us have been there: you see a move starting, you jump in, and the market immediately turns into a sideways chop-fest that eats your stop. This is a simple dashboard that forces the market to “prove itself” before you put capital at risk.
█ WHAT MAKES THIS DIFFERENT?
Most indicators are “Yes/No” machines — they fire signals anytime two lines cross, even when the market is weak, noisy, or range-bound. This script is a Quality Filter .
Instead of asking “Is price moving?”, it asks: “Is the move backed by alignment, momentum, and strength?”
VERIFIED only appears when all three agree, helping you avoid low-probability chop and “no-trade” consolidation zones.
█ QUICK START
• UP + VERIFIED + High ➔ “A-Tier” state; favor pullbacks or continuation.
• DOWN + VERIFIED + High ➔ bearish control is real; avoid dip-buying.
• Conflict (gray) ➔ indicators disagree; step aside and wait for alignment.
• R or B markers ➔ overextension warnings; don’t chase into extremes.
█ THE "ANTI-CHOP" ENGINE
Trading is probability, not guessing. This script uses a 3-stage logic gate to verify conditions:
• 1) The Trend (HMA 13/34): Hull Moving Averages provide a fast, smooth regime filter. If fast vs. slow isn’t clean, the regime isn’t ready.
• 2) The Fuel (RSI 50): A trend without momentum is a trap. UP/DOWN only prints when RSI confirms.
• 3) The Proof (ADX/DMI): Final gate. VERIFIED only appears when ADX ≥ 22 and DI+/DI- agrees . If strength isn’t there, stay sidelined.
█ VISUALS YOU'LL ACTUALLY USE
• Live Dashboard: Bottom-center snapshot of RSI, Direction (UP/DOWN/Conflict), VERIFIED status, and Confidence tier (Low/Med/High).
• Exhaustion Markers: Orange icons when price is extended: "R" for RSI extremes and "B" for Bollinger Band hits. These flag caution zones.
• Trend Ribbon: Zero-line bias bar: Lime (bullish), Red (bearish), Gray (conflict/chop risk).
█ SETTINGS
• Action ADX Minimum (default 22): Want stricter verification? Try 25. Want earlier signals? Try 20 (higher noise/risk).
Disclaimer: Educational tool only. Not financial advice. Past performance does not guarantee future results. Always use strict risk management.
BB6-MTF-OverlayBB6-MTF-Overlay (Multi-Bollinger Bands, MTF, Overlay)
BB6-MTF-Overlay is a Bollinger Bands overlay indicator that lets you display up to 6 independent BB sets on a single chart, with full MTF (higher timeframe) support.
It’s designed for fast multi-timeframe context—so you can see where price is relative to higher-timeframe BB levels (middle / ±1σ / ±2σ / ±3σ) while trading your current timeframe.
Key Features
Up to 6 Bollinger Band sets displayed simultaneously (overlay)
Per BB set: choose Local (current TF) or MTF (higher TF via security)
Per BB set: Gaps ON/OFF
ON: values may appear only at HTF update points (discontinuous)
OFF: HTF values are filled across lower TF bars (step-like)
Per BB set: Confirmed Bars Mode ON/OFF
ON: uses confirmed HTF values (minimizes repainting)
OFF: follows the in-progress HTF bar (useful for discretionary trading)
Per BB set: toggle visibility for Middle / ±σ1 / ±σ2 / ±σ3 independently
Custom sigma multipliers (e.g., 1.5σ, 0.6σ) for fine tuning
Separate switches for Calculation ON/OFF and Display ON/OFF
Turn off calculations to reduce load, or hide plots only
Typical Use Cases
Use higher timeframe (4H/D/W) BB middle and ±1σ as “structure walls” while executing on lower timeframe
Combine real-time tracking (e.g., 15m BB with Confirmed OFF) with stable HTF anchors (e.g., Daily/Weekly with Confirmed ON)
Keep ±2σ/±3σ OFF by default and enable them only when you need to check range expansion or extremes
Default Preset (Initial Settings)
BB1: 15m MTF (Confirmed Bars Mode OFF)
BB2: 4H MTF (Confirmed Bars Mode OFF)
BB3: Daily MTF (Confirmed Bars Mode ON)
BB4: Weekly MTF (Confirmed Bars Mode ON)
BB5: Monthly MTF (Confirmed Bars Mode ON)
BB6: Calculation OFF / Display OFF
For all active BB sets: σ1 ON by default, σ2 & σ3 OFF by default
Notes
With MTF + Confirmed OFF, band values will move until the higher timeframe bar closes (intended for discretionary use).
If the chart looks too busy, disable unused BB sets or turn off σ2/σ3.
📌 BB6-MTF-Overlay（ボリンジャーバンド6本・MTF対応・Overlay）
BB6-MTF-Overlay は、最大6セットのボリンジャーバンドを同時にチャート上へ重ねて表示できる、MTF（上位足参照）対応のBollinger Bandsインジケーターです。
🕒 15分／4時間／日足／週足／月足など、複数時間軸のボリンジャーを1つのチャートで確認できるため、環境認識（上位足の位置関係）＋現在足の判断をスムーズに行えます。
✨ 主な特徴
📈 最大6本のボリンジャーバンドを同時表示（Overlay）
🔁 各BBごとに Local（現在足） / MTF（上位足） を選択可能
🧩 各BBごとに ギャップON/OFF（上位足更新点のみ表示／階段状に埋める表示）を切替
✅ 各BBごとに 確定足モードON/OFF
ON：上位足確定値（リペイント最小）
OFF：進行中の上位足にも追随（裁量補助向け）
🎚️ 各BBごとに ミドル／±σ1／±σ2／±σ3 を個別に表示ON/OFF
🔧 σ値は自由入力（例：1.5σ、0.6σ など微調整可）
⚙️ 計算ON/OFFと表示ON/OFFを分離
表示だけ消す／計算ごと止めて軽くする、の両方に対応
🧠 想定する使い方（例）
🧱 上位足（4H/日足/週足）のミドル・±1σを「壁」として見て、今の足（5分/15分）での反発・抜けを判断
🏃 「15分BB（確定足OFF）」でリアルタイム追随しつつ、「日足/週足（確定足ON）」で大局の位置を固定して確認
🔍 σ2・σ3は普段OFF、必要なときだけONにしてレンジ幅・伸び代を確認
🧾 デフォルト設定（初期状態）
1️⃣ BB1：15分MTF（確定足モードOFF）
2️⃣ BB2：4時間MTF（確定足モードOFF）
3️⃣ BB3：日足MTF（確定足モードON）
4️⃣ BB4：週足MTF（確定足モードON）
5️⃣ BB5：月足MTF（確定足モードON）
6️⃣ BB6：計算OFF／表示OFF
🎛️ 初期表示は全BB共通で「1σのみON（2σ・3σはOFF）」
⚠️ 注意事項
🔄 MTFで「確定足モードOFF（追随）」を使用する場合、上位足が確定するまで値が動くため、見え方が変化します（裁量補助向け）。
🧹 表示本数が増えるとチャートが混み合うため、必要なBBだけ表示ONにする運用がおすすめです。
Percentile-Based BB% Trend - MattesOverview
The Percentile-Based BB% Trend is a robust momentum oscillator that reimagines the classic Bollinger %B indicator using percentile-based bands and median absolute deviation (MAD). Instead of relying on a simple moving average and standard deviation (which can be heavily influenced by outliers), this version builds dynamic bands from the 25th and 75th percentiles of price, creating a noise-resistant framework for measuring where the current price sits relative to its recent distribution.
How It’s Calculated
Percentile Smoothing : 25th percentile (lower boundary) and 75th percentile (upper boundary) of the selected source.
Basis Line : Midpoint between the 25th and 75th percentiles as a robust central measure.
Robust Volatility : Median Absolute Deviation (MAD) multiplied by a user-defined factor to set band width.
PBB% Value : (Price - Lower Band) / (Band Width), then shifted so the midline is at 0.
Trend Line : Light EMA smoothing applied to the raw value and displayed as colored columns.
How It Differs From Traditional %B
Uses 25th/75th percentiles + MAD instead of SMA + standard deviation → far less sensitive to outliers.
More adaptive to real-world skewed price distributions.
Stronger noise filtering while staying responsive to genuine momentum.
Why It’s Useful
Reduced false signals in choppy or spiky markets
Clear view of momentum strength and price extension
Persistent readings above/below 0 indicate sustained bullish/bearish control
Excellent as a trend-strength filter across all asset classes and timeframes
Application Examples
Trend Confirmation – Midline (0) crossovers confirm direction when paired with trend-following tools.
Overextension Warnings – Extreme readings signal potential exhaustion.
Momentum Filtering – Avoid entries when oscillator shows weak or overstretched conditions.
Divergence Hunting – Spot price making new highs/lows while oscillator fails to confirm.
Great inventions require greate care!
Not a Standalone Strategy: This indicator is designed as a complementary tool and should always be combined with other forms of analysis (price action, volume, higher-timeframe trend, or additional indicators).Potential Lags in Explosive Moves: The robust calculations and smoothing can slightly delay signals during very strong trends.Parameter Sensitivity: Optimal length and multiplier vary by market and timeframe — backtesting is essential.No indicator guarantees profits; past performance is not indicative of future results.
This indicator builds directly on the foundation of the Percentile-Based Bollinger Bands - Mattes, extending its robust methodology into oscillator form for deeper momentum analysis.Shoutout to all my Masterclass Brothers and L4 Gs!
Institutional Flow X-Ray [Blk0ut]Introduction
In the world of quantitative trading, volume is often described as the "fuel" of the market. However, standard volume bars have a major flaw: they show you how much changed hands, but they don't tell you who was in control.
The Institutional Flow X-Ray is designed to solve this opacity problem. It looks "under the hood" of every candle to visualize the intent of the Smart Money participants. By combining Volume Price Analysis (VPA), Wyckoff Logic, and Volatility Compression into a single interface, this tool helps traders identify when institutions are quietly accumulating positions (Absorption) before a major expansion occurs.
How It Works: The Logic
This indicator is not a simple moving average crossover. It aggregates four distinct quantitative models into one composite view:
1. Institutional Flow (The Histogram) Instead of just looking at whether price closed up or down, we calculate the "Intra-Bar Delta." We measure where the price closed relative to the high-low range of that specific candle, weighted by the volume.
• The Result: A smoothed momentum oscillator that reveals the internal strength of the trend.
• Gradient Coloring: The bars use a 4-color gradient system. Bright Green/Red indicates accelerating momentum, while Darker Green/Red indicates exhaustion or a pullback is likely.
2. Stealth Absorption (The "Gold" Signal) This is based on Wyckoff’s Law of Effort vs. Result. The script scans for a specific anomaly: Volume is significantly higher than average (>2.0x), but Price Range is significantly lower than average.
• Why this matters: When you see high volume but no price movement, it often means a large entity is absorbing all available liquidity (Iceberg Orders). These bars are painted GOLD.
3. Volatility Compression (The "Squeeze" Dots) Markets move in cycles of Expansion and Compression. This module compares the width of Bollinger Bands against Keltner Channels.
• The Logic: When the Bollinger Bands contract inside the Keltner Channels, the market is like a coiled spring. This measures potential energy.
4. Relative Strength (The Alpha Line) Institutional capital rarely flows into underperforming assets. The script automatically compares your current ticker against a benchmark (SPY for Stocks, BTC for Crypto, DXY for Forex).
• The Logic: If the benchmark is dropping, but your ticker is holding steady (Rising Blue Line), it shows Relative Strength, a key footprint of institutional support.
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Visual Guide & Usage
The Histogram (Flow & Signals)
• Green Gradients: Buyers are in control.
• Red Gradients: Sellers are in control.
• GOLD Bars (Absorption): Be alert. A major player is active. If this happens at Support, it is a high-probability Accumulation setup.
• WHITE Bars (Alpha Signal): The "Triple Confluence." This occurs when we have (1) Absorption + (2) Bullish Flow + (3) Relative Strength all activating at once. This is the strongest signal in the system.
The Volatility Map (Center Dots) The dots running along the zero line tell you the state of market energy:
• 🔴 Red (Extreme Squeeze): Ratio < 0.7. Massive energy build-up. Expect an explosive move soon.
• 🟠 Orange (Squeeze): Ratio < 1.0. Standard pre-breakout compression.
• ⚪ Gray (Normal): Standard volatility.
• 🔵 Blue (Expansion): The move is underway. Volatility is expanding.
The Heads-Up Dashboard A professional table in the corner provides real-time quantitative data so you don't have to guess:
• Inst. Flow: The raw score (0-100).
• Volatility: Tells you exactly which phase the market is in (Squeeze vs. Expansion).
• Rel. Strength: Tells you if you are "Outperforming" or "Lagging" the benchmark.
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BB + RSI Div + Volume + VWAP (4H Perp Short Alert) - SafeThis Indicator use Bollinger Band + RSI Div + Volumne + VWAP for shorting Mid and Small Cap token in 4H timeframe
HLRSI═══════════════════════════════════════════
HLRSI - High-Low RSI
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## Overview
HLRSI (High-Low RSI) is a dynamic RSI indicator that automatically switches between High RSI and Low RSI based on market conditions. This allows traders to focus on the most relevant momentum — bullish momentum in uptrends and bearish momentum in downtrends.
## How It Works
- When HL2 RSI is above its Bollinger Band middle line → displays High RSI (based on candle highs)
- When HL2 RSI is below its Bollinger Band middle line → displays Low RSI (based on candle lows)
This adaptive approach provides clearer signals compared to traditional RSI, which uses only closing prices.
## Components
1. **RSI Line (Purple)**: The adaptive High-Low RSI
2. **RSI HMA (Yellow)**: Hull Moving Average of RSI - acts as a trend filter, similar to MACD signal line
3. **Bollinger Bands (Green)**: Dynamic overbought/oversold boundaries that adapt to volatility
## How to Use
### Trend Identification
- RSI above HMA → Bullish momentum
- RSI below HMA → Bearish momentum
- RSI crossing HMA → Potential trend change
### Entry Signals
- **Long**: RSI crosses above HMA near oversold zone or lower Bollinger Band
- **Short**: RSI crosses below HMA near overbought zone or upper Bollinger Band
### Overbought/Oversold
- RSI touching upper Bollinger Band → Overbought (potential reversal or pullback)
- RSI touching lower Bollinger Band → Oversold (potential reversal or bounce)
## Parameters
- **RSI Length** (default: 50): Period for RSI calculation
- **HMA Length** (default: 200): Period for trend-filtering HMA
- **BB Length** (default: 200): Period for Bollinger Bands
- **BB Multiplier** (default: 2.8): Standard deviation multiplier
## Tips
- Combine with price action or other indicators for confirmation
- Adjust BB Multiplier to control sensitivity (lower = more signals, higher = fewer but stronger signals)
Bollinger BandWidth (Session-Adjusted)Description
This indicator is a session-adjusted version of Bollinger BandWidth (BBW), specifically designed for instruments with limited trading hours, such as European stock indices (e.g., FTSE MIB, DAX, CAC, which trades from 09:00 to 17:30 CET — 8.5 hours) or individual stocks.
Standard Bollinger BandWidth on intraday charts can be distorted because calculations include non-trading periods (flat prices overnight), leading to inaccurate volatility readings.This script dynamically adjusts the Bollinger Bands calculation to approximate daily periods based on the actual trading session length, ensuring the BBW reflects true market volatility during active hours.
Key Features
Session-Adjusted Bollinger Bands:
The lookback period (default 20 days) is converted into an equivalent number of intraday candles based on your chart's timeframe and the session duration. This makes the indicator suitable for intraday timeframes (e.g., 5min, 15min, 1H) on limited-session assets.
Bollinger BandWidth (BBW) as Percentage:
Plots (Upper Band - Lower Band) / Middle Band * 100, a relative measure of volatility (higher values = wider bands = higher volatility).
Dynamic Expansion and Contraction Levels:
Red line: Highest BBW over the selected expansion lookback period (default 25 days) — highlights peak volatility levels.
Green line: Lowest BBW over the selected contraction lookback period (default 25 days) — highlights extreme squeezes (low volatility).
Fully customizable inputs for session hours, BB parameters, and dynamic level periods.
How It Works
Session Adjustment: Input session duration (default 8.5 hours).
The script calculates approximate candles per trading day for your current chart timeframe.
Bollinger Bands are computed using length * candlesPerDay bars, simulating a true multi-day calculation within intraday data.
BBW Calculation:
Basis: Simple Moving Average (SMA).
Deviation: Multiplier × Standard Deviation.
BBW = (2 × Deviation / Basis) × 100.
Dynamic Lines:
Expansion line uses the same session-adjusted period for highest BBW.
Contraction line uses the lowest BBW.
Usage and Trading Ideas
Bollinger BandWidth is a powerful volatility indicator popularized by John Bollinger. Low BBW values indicate band contraction ("Squeeze") — periods of low volatility often followed by strong breakouts. High BBW values indicate expansion — trending or volatile phases that may exhaust and lead to consolidation.
Squeeze Setup:
Watch for BBW dropping toward or below the dynamic low (green) line. This signals potential impending volatility expansion and breakout opportunities.
Expansion Confirmation:
BBW rising above the dynamic high (red) line suggests strong volatility — useful for trend-following or avoiding counter-trend trades.
Combine with price action (e.g., break of support/resistance), volume, or momentum indicators (RSI, MACD) for directional bias.
Ideal for intraday or swing trading on European indices, stocks, or other limited-session instruments where standard BBW would be misleading.
This adjustment makes the indicator more accurate on lower timeframes compared to built-in versions, providing cleaner volatility signals aligned with real trading sessions.
Enjoy the script — feedback welcome!
BT State, Structure & EnergyBT State, Structure & Energy
BT State, Structure & Energy is a market context framework — not a signal generator.
It helps traders understand when meaningful outcomes are possible, before interpreting absorption, aggression, or entries.
This tool enforces the correct analytical hierarchy used by professional traders.
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Core Concept
Markets resolve in layers, not signals.
This indicator separates volatility behavior into three distinct components:
State (BBWP) → Can something happen?
Structure (Keltner Width %) → Is the market opening or compressing?
Energy (ATR %) → Is there enough participation to traverse structure?
Most traders invert this sequence and fail.
This framework does not.
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Indicator Mapping
BBWP → State
Defines volatility regime and expansion permission.
Keltner Width % → Structure
Tracks the opening and closing of the market’s price envelope.
ATR % → Energy
Measures the arrival and decay of kinetic participation.
These are non-directional metrics. They describe environment, not bias.
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Visual Design
BBWP Columns (Heatmap)
Low opacity columns show volatility state without overpowering price.
Compression Background
Subtle shading highlights regimes where expansion is statistically unlikely.
Structure Line (KWP)
User-defined base color with light/dark slope variants.
Energy Line (ATR %)
User-defined base color with light/dark slope variants.
Brightness reflects slope (rising or falling), not direction.
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How to Use
Start with State
If volatility permission is closed, most signals will fail.
Then read Structure
Structure often opens before state transitions.
Then read Energy
Energy confirms whether structure can be traversed.
Only then interpret Absorption
Absorption matters when expansion is allowed.
Finally read Aggression
Aggression answers who is winning right now .
Correct hierarchy:
Market State → Absorption → Aggression
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Best Practices
Do not use this as an entry signal
Use it to filter false breakouts and chop
Pair with absorption and order-flow tools
Use higher opacity on HTF, lower on LTF
Adjust slope length per timeframe (longer on HTF)
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Who This Is For
This tool is designed for traders who want to:
Understand market condition before acting
Avoid chasing activity in compressed regimes
Trade with context instead of indicators in isolation
If you are looking for buy/sell arrows, this is not the tool.
If you want to know where you are , this is exactly the tool.
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BT State, Structure & Energy
Understand the environment before interpreting the tape.
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities.
Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features:
Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands
🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum).
🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal).
Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones
Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones
Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history)
Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination
Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles
Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
Offset Bollinger Bandsbollinger band offset by 10 period. Appied on daily time frame for entry and exit
