Institutional VWAP Bands [JOAT]Institutional VWAP Bands
An anchored VWAP with standard-deviation bands that classifies price as cheap, fair or expensive and offers two complementary playbooks: mean reversion and trend pullback.
What it is
VWAP is the benchmark institutions measure their own fills against — the market's running notion of fair value. Standard-deviation bands around it map where price is stretched relative to that benchmark. This indicator runs an anchored VWAP with three band pairs and turns them into a structured, non-repainting decision tool rather than a plain VWAP line.
How it works
• Anchored VWAP — volume-weighted average price accumulated from a chosen anchor (session, week or month) with a controlled reset, so the reference restarts cleanly each period.
• Sigma bands — three pairs of bands at one, two and three standard deviations of price around VWAP, computed from the same volume-weighted variance. These define the stretch zones.
• Value state — every bar is classified with a z-score into cheap, fair or expensive relative to VWAP. This drives the colour system and the dashboard.
• Mean-reversion fades — when price is stretched to the outer bands against the higher-timeframe trend and then reclaims back inside, a fade toward VWAP is signalled. The reclaim requirement is deliberate, so you are not blindly catching a falling knife.
• Trend-pullback entries — in a trend, a retracement to VWAP or the first band that holds is a discount entry in the trend direction. Both playbooks are labelled by type, and Buy/Sell are mutually exclusive with a minimum-gap control.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit. For reversion signals the first target is clamped toward VWAP so it always sits on the profit side of entry.
The dashboard
An adjustable value-ladder panel shows the value state, the z-score, the trend bias, the active playbook and signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only.
How to use it
• Choose the anchor that matches your style: session for intraday, week or month for swing context.
• Fade the outer bands only against the trend and with a reclaim; take pullbacks to VWAP with the trend.
• Works across assets and timeframes, though the anchor should suit the timeframe you trade.
Settings
Anchor period, VWAP source, three band multipliers, trend filter length, reversion trigger, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
VWAP and deviation bands are standard building blocks; the contribution here is the explicit two-playbook logic (reclaim-based reversion versus trend pullback), the value-state classification that ties colour, dashboard and signals together, and the reversion target clamp — combined into one coherent, non-repainting framework and fully explained.
Notes and limitations
• VWAP is most meaningful on instruments with reliable volume; on symbols without real volume the bands lose accuracy, which is stated here honestly.
• Reversion trades against a strong trend carry inherent risk even with the reclaim filter.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Large Lot Reverse Engineer [JOAT]LARGE LOT REVERSE ENGINEER
A regression-driven block-trade detector that infers the implied size of an off-tape institutional order from the residual between price movement and volume — and turns that residual into an estimated lot count. The premise is straightforward: when a single large order moves price meaningfully more than the visible volume would justify, the gap is the size of the hidden order that absorbed the move. Large Lot Reverse Engineer models that relationship, flags the outliers, and estimates the size.
The core idea — what price movement is "worth"
In normal conditions there is a stable statistical relationship between volume and the magnitude of a bar's return. A rolling regression over a configurable window (default 60 bars) estimates expected volume as a function of return — i.e., for the move you just saw, how much volume should there have been?
The residual is the difference between actual and expected volume, Z-normalised by its own rolling stdev. Two signs of residual matter:
Implied block (residual Z ≥ +threshold) — more volume traded than the price move warrants. Someone large was on the passive side absorbing aggression. The direction of the bar tells you which side.
Thin market (residual Z ≤ −threshold) — price moved on suspiciously low volume. Liquidity was missing; the move was a low-conviction air-pocket.
Both reads are institutionally interesting. The first identifies absorbed-aggression — the textbook signature of an institutional block trade. The second identifies regimes where price prints are unreliable.
R² reliability gate
A regression is only meaningful when the underlying relationship is actually there. The script computes the rolling R² of the model and exposes a configurable minimum (default 0.10). When R² falls below the gate the model is considered unreliable; the dashboard cell turns warning-coloured and the script tags any signals fired in that regime as low-confidence. This is the difference between a real residual reading and a noise residual — a professional read forbids the same.
Significant block sizing
Three thresholds are stacked:
Implied Block Sigma (+) (default 2.0σ) — baseline implied-block trigger.
Thin Market Sigma (−) (default 2.0σ) — baseline thin-market trigger.
Significant Block Sigma (default 3.0σ) — above this the bar is rendered with a polygon glyph and gets an estimated lot-size badge . Empirical scaler converts residual-volume into a lot count.
The size unit is configurable: Shares/Coins for spot instruments, Notional USD for size in dollars (using a configurable price proxy), or Auto which picks based on instrument. The scaler is exposed because no single conversion factor is universally correct — calibrate to your instrument's typical notional.
Cluster detection
When N blocks fire inside a rolling window (configurable, default 3 in 5 bars) the Block Cluster alert fires. Cluster signals are the strongest read this script produces — they indicate sustained off-tape activity, not a single statistical outlier.
Visual system
Residual Z histogram — bars coloured bull/bear by direction, magnitude by residual.
Threshold lines at ±2 and ±3 with on/off toggle.
Zero line and significant-block polygon glyphs.
Thin-market dots in the muted palette.
Background recency fade — fresh blocks tint the background and decay to transparent over a configurable number of bars.
Cumulative implied delta (optional) — running sum of implied-block directional contributions, useful for reading sustained institutional bias.
A locked Carbon palette (neon green / neon red / white midline on carbon black) gives the pane an institutional terminal feel.
Dashboard
Monospaced table, positionable to any of nine corners, with a compact mode and optional legend footer. Surfaces:
Current residual Z value and sign.
R² value with reliability colour-coding (green / amber / red).
Last significant block direction with estimated lot size.
Block count and thin-market count in the recent window.
Cluster status with bars-since-last-cluster.
Cumulative implied delta (when enabled).
Alerts
Four alert conditions, each independently controllable:
Implied Buy Block (positive residual + up bar)
Implied Sell Block (positive residual + down bar)
Thin Market Event (negative residual)
Block Cluster (N-in-window)
How to read it
Three reads, in order of conviction:
Block Cluster + high R² — the highest-conviction read. Multiple statistically-significant blocks inside a window, with the underlying model reliable. Institutional flow is actively moving size.
Significant block (3σ+) at a known level — a single large polygon glyph at a key support/resistance is a textbook absorbed-print read. The lot-size badge gives you a magnitude proxy you can compare across bars.
Thin market warning — when the residual goes deeply negative, treat any move you see with extreme caution; the tape is hollow. Often precedes either a violent move once real flow returns or a fade back to fair value.
Suggested settings
Defaults (60-bar window, R² ≥ 0.10, ±2σ block, +3σ significant) are tuned for 5m–1H on liquid futures, FX, and large-cap equity. For lower timeframes drop the window to 30 and raise the sigma thresholds to 2.5σ / 3.5σ to filter noise. For daily and above, widen the window to 100+ and consider log returns for instruments with large price scales.
Originality
The implementation — the rolling return-vs-volume regression with R² gate, the residual-Z classifier with bidirectional thresholds, the empirical lot-size scaler with auto/notional unit switching, the polygon-glyph significant-block render, the thin-market dot variant, the N-in-window cluster trigger, the recency-fade background, and the cumulative implied delta — is JOAT-original. No third-party code reused. The "volume that should have been" inference pattern is well-known to institutional desks; the implementation here is purpose-built for chart-based bar data.
Limitations
Implied block size is an inference from residual statistics, not a direct read of off-tape trades. Pine cannot see actual block prints that occur away from the lit market; what the script flags is the visible footprint those prints leave behind. The lot-size badge depends on the empirical scaler, which must be calibrated per instrument — the default 1.0× is generic. The R² gate is the most important reliability filter; when R² is low, no signal in the model should be considered reliable, by construction.
-made with passion by jackofalltrades
Indicator
Caelum Bias Ribbon [JOAT]Caelum Bias Ribbon
Introduction
Caelum Bias Ribbon is a multi-timeframe ALMA consensus ribbon. It evaluates whether 15m, 1H, 4H, 1D, and 1W horizons are aligned, mixed, or overheated.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. ALMA Deviation States
Each timeframe creates an ALMA center and deviation threshold to classify bullish, bearish, or neutral state.
2. Consensus Voting
The script counts aligned timeframes to identify broad directional agreement.
3. Overheat Tracking
Directional runs are counted so stretched multi-timeframe conditions can be marked without predicting reversal.
4. Ribbon Visualization
Colored ALMA ribbons and fills show agreement without heavy labels.
consensus = bullCount >= gate ? 1 : bearCount >= gate ? -1 : 0
Features
Five-timeframe ALMA ribbon
Consensus and mixed-state detection
Overheat markers
Consensus candle coloring
Compact dashboard
Input Parameters
Deviation factor
ALMA length, offset, and sigma
Deviation length
Overheat run threshold
Display toggles
How to Use This Script
Use Caelum as a directional filter. Strong agreement supports trend-following context; mixed readings warn that timeframes are not aligned.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
Caelum is original in combining ALMA deviation states, multi-horizon voting, run-length overheat logic, and a clean ribbon display.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Cobalt Session Ledger [JOAT]Cobalt Session Ledger
Introduction
Cobalt Session Ledger is an open-source intraday context indicator focused on session VWAP, synthetic volume delta, liquidity sweeps, absorption, and managed visual trade mapping. It is designed to help users read whether current price action is extending, reverting, sweeping liquidity, or building pressure around the active session's value area.
The script uses a modern dark chart style with cyan, teal, red, amber, and violet accents. It includes VWAP sigma bands, session CVD, sweep and absorption markers, candle coloring, reward/risk boxes, right-side entry/stop/target labels, and a top-right dashboard.
Core Concepts
1. Session VWAP and Sigma Bands
The session engine accumulates price-volume data during the configured session and computes VWAP. It also derives deviation bands around VWAP so price can be evaluated in sigma terms rather than raw distance.
// Conceptual summary
// VWAP = cumulative price * volume / cumulative volume
// sigma bands = VWAP +/- session deviation multiples
2. Synthetic Delta and Session CVD
Because PulseWire symbols often lack true bid/ask delta, the script estimates directional pressure from candle body position, close position, range, and volume. That value is accumulated into a session CVD line and smoothed for dashboard and signal context.
3. Liquidity Sweep Detection
Confirmed sweeps occur when price probes beyond a recent swing high or low and closes back through it with directional rejection. These events are shown with clean square/circle markers rather than arrows.
4. Absorption and Wick Skew
Absorption combines volume expansion, compact candle range, and close location. Wick skew helps describe whether rejection is occurring from the upper or lower side of the candle.
5. Managed Ledger Map
When a confirmed ledger signal appears, the indicator can draw a reward zone, risk zone, entry line, stop line, and T1/T2/T3 targets at the right edge. These are visual planning aids, not executed orders.
Features
Session VWAP engine: Uses the configured session and timezone
VWAP sigma rails: Displays inner and outer VWAP deviation shells
Session CVD: Tracks synthetic volume pressure during the session
Liquidity sweeps: Detects confirmed reclaim/rejection events around recent pivots
Absorption markers: Highlights volume compression and close-location absorption
Confidence scoring: Combines VWAP, delta, structure, absorption, volume, and session context
Managed trade map: Draws entry, stop, T1, T2, T3, reward box, and risk box
Candle tinting: Colors bars based on confidence and directional pressure
Top-right dashboard: Shows VWAP, CVD, delta, liquidity, confidence, sigma, entry, targets, and session range
Confirmed-bar signals: Ledger signals are gated with barstate.isconfirmed
Input Parameters
Session:
Session Window
Session Timezone
Liquidity and Absorption:
Liquidity Pivot Length
Volume Spike Multiplier
Absorption Range Ceiling
Bull/Bear Absorption Close Bias
Trade Map:
Show Managed Trade Map
Show Right-Side Price Labels
Trade Box Projection Bars
Target 1, 2, and 3 R multiples
Signal Cooldown Bars
How to Use This Indicator
Step 1: Start with VWAP
Read whether price is above, below, or stretched from session VWAP.
Step 2: Confirm pressure
Use the CVD and delta rows to determine whether volume pressure supports the price location.
Step 3: Watch sweeps and absorption
Sweep and absorption events can mark potential exhaustion or reclaim zones.
Step 4: Treat trade boxes as planning overlays
The ledger box gives a structured visual reference for risk and reward. It does not ensure that the market will reach any level.
Indicator Limitations
Synthetic delta is an estimate, not true exchange bid/ask delta
Signals are session-context tools, not automatic trade instructions
Quiet symbols and low-volume sessions can reduce signal quality
The managed trade map is visual only
Originality Statement
Cobalt Session Ledger combines session VWAP sigma analysis, synthetic CVD, sweep/reclaim logic, absorption detection, wick skew, confidence scoring, candle tinting, and managed visual trade mapping into a single open-source Pine v6 session tool. The components work together to classify session pressure and price location rather than act as unrelated overlays.
Disclaimer
This script is for educational and informational use only. It is not financial advice or a recommendation to buy or sell any instrument. Trading involves risk, and historical context does not ensure future behavior.
-Made with passion by jackofalltrades
Indicator
Sigma Channel [JOAT]JOAT Sigma Channel
Introduction
JOAT Sigma Channel is an open-source regression-based channel overlay built to identify the best-fit directional corridor across a search range of candidate windows.
It is designed to show whether price is traveling normally inside a fitted corridor, stretching away from it, reclaiming it, or moving into stress territory.
The problem it solves is model selection.
A fixed-length regression channel can look excellent in one regime and poor in the next.
If the market accelerates, slows down, or shifts its dominant drift horizon, a static window becomes less useful.
Sigma Channel solves that by searching a range of possible windows and selecting the strongest available fit.
That fit becomes the active corridor.
Around it the script builds multiple sigma tiers.
These tiers create a richer price-state map than a single upper and lower band.
The result is a more useful framework for reading acceptance, stretch, reclaim, and exhaustion.
Core Concepts
1. Multi-Window OLS Search
The script evaluates multiple candidate regression windows and scores them by fit quality.
for len = minWindow to maxWindow by stepWindow
= f_model(len)
2. Sigma-Tier Envelope Stack
The fitted centerline is surrounded by inner, core, outer, and stress layers.
3. Slope and Quality Diagnostics
The chosen model exposes both slope and fit quality.
4. Reclaim and Acceptance States
The script identifies when price reclaims or accepts back inside the corridor after extension.
5. Stress-State Shading
The most extreme statistical layer is visually emphasized.
6. Forward Projection
The active model projects forward to keep the corridor useful at the right edge.
7. Residual Awareness
Residual behavior helps judge whether the active model remains representative.
8. Gradient Candle Context
Bar coloring transitions with the current statistical state.
Features
Adaptive regression search: scans multiple windows instead of using one fixed length
Inner, core, outer, and stress bands: multiple sigma tiers for normal and abnormal travel
Slope-aware corridor logic: distinguishes positive and negative drift
Reclaim and acceptance events: return-to-channel behavior is identified
Stress shading: abnormal statistical extension is highlighted
Forward projection: the active corridor extends to the chart edge
Gradient candle tinting: bar color reflects the current z-state
Dashboard: slope, quality, window, and deviation state are summarized
Input Parameters
Model Search:
Minimum Window
Maximum Window
Window Step
Minimum R-Squared
Projection Bars
Deviation Envelope:
Inner Sigma
Core Sigma
Outer Sigma
Stress Sigma
Filter Stack / Visual System:
Bias EMA
ATR Length
Momentum RSI
Use EMA Bias Gate
Use RSI Gate
Use Volume Gate
Tint Bars
Show Projection
Show Dashboard
How to Use This Indicator
Step 1: Check the active slope and whether the corridor is upward, downward, or balanced.
Step 2: Check fit quality before trusting the active statistical path.
Step 3: Read whether price is inside the core corridor, at the outer layer, or in stress territory.
Step 4: Watch reclaims back into the channel after extension.
Step 5: Use the projection to organize the near-future chart space.
Indicator Limitations
The selected best-fit window can change as the market evolves
Linear regression becomes less representative in strongly nonlinear markets
Statistical extension does not guarantee immediate reversal
The indicator measures deviation from a model, not directional certainty
Originality Statement
This script is original in the way it combines adaptive regression selection, multi-tier sigma structure, reclaim logic, stress-state shading, and forward projection into one corridor framework.
The goal is not just to draw a regression channel.
The goal is to keep the active model responsive while preserving statistical context.
Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice.
Regression fit and statistical deviation do not predict future price with certainty.
Markets can remain extended or break away from the active fit entirely.
Best Use Cases
Reading whether price is behaving normally inside a fitted directional corridor
Identifying statistical stretch and stress states
Watching for reclaim behavior after extension
Combining statistical deviation with separate structure or liquidity analysis
Interpretation Notes
The channel should be trusted more when fit quality is stronger and the slope is clear.
Core travel is generally more normal than outer-band travel.
Stress states are especially useful when they coincide with separate structural or participation warnings.
The projection should be read as a continuation of the current best-fit model, not as a forecast guarantee.
Publication Notes
This script is intended to be published with a clean chart where the corridor, the active slope, and at least one reclaim or extension state are obvious.
The example chart should help the viewer understand how the band hierarchy works.
Avoid combining it with unrelated overlays in the publication image.
-Made with passion by jackofalltrades
Indicator
Hash Dispersion Cone## Overview
The **Hash Dispersion Cone** is a forward-projecting statistical probability envelope built on realized volatility. Anchored to the current bar's close price, it projects where price is statistically expected to trade over the next N bars using log-normal volatility scaling — the same mathematical framework used by professional options desks and quantitative risk managers.
This is not a buy/sell signal generator. It is a **probability map** — a live, continuously recalculating field that shows the market's statistical boundaries given current realized volatility. When volatility is low, the cone is tight. When volatility is expanding, the cone widens in real time.
> *"Know your range before the market shows it to you."*
> — Hash Capital Research
---
## How It Works
### The Mathematics
The cone is constructed using the **square-root-of-time rule**, a foundational principle of financial mathematics. At each forward bar `t`, the projected price boundaries are calculated as:
```
Upper_k(t) = AnchorPrice × exp( +k × σ × √t )
Lower_k(t) = AnchorPrice × exp( −k × σ × √t )
```
Where:
- `k` = standard deviation multiplier (1 for 1σ, 2 for 2σ)
- `σ` = realized volatility per bar (selected method)
- `t` = number of bars forward
Using the **log-normal form** is intentional and correct. It keeps the cone asymmetric in price space — the upside boundary is always further from anchor than the downside boundary by an equal percentage amount. This reflects how asset prices actually behave: they cannot go below zero, but can theoretically rise without limit.
### Why the Cone Moves With Price
The cone repaints every bar because it is always anchored to the **current close**. This is by design. It answers the question: *"Given what volatility is right now, where could price go from here?"* — not where it could have gone from a past bar.
---
## Volatility Methods
Three realized volatility estimators are available. Each has distinct statistical properties suited to different market conditions.
### Close-to-Close (Default)
The standard log-return standard deviation:
```
σ = stdev( ln(Close / Close ), lookback )
```
Most widely understood. Can underestimate volatility on assets that gap frequently or have large intrabar swings. Best for: **daily timeframes, equities, stable assets**.
### Parkinson (High-Low)
Uses the high-low range instead of close-to-close returns:
```
σ² = mean / (4 × ln2)
```
Approximately **5x more statistically efficient** than Close-to-Close for the same lookback period. Captures intrabar volatility that close-to-close misses. Best for: **crypto, commodities, FX — any asset with large intrabar ranges**.
### Garman-Klass (OHLC)
The most efficient of the three estimators, using all four price points:
```
σ² = mean
```
Most accurate for intraday analysis where the open-to-close gap carries information. Best for: **intraday timeframes (1H, 4H), equities with significant opening gaps**.
---
## Inputs Reference
### Volatility Calculation
| Input | Default | Description |
|---|---|---|
| Lookback Period | 30 | Bars used to calculate σ. Lower = more reactive. Higher = smoother. |
| Volatility Method | Close-to-Close | Estimator used. See Volatility Methods above. |
| Vol Trend MA Length | 10 | SMA length applied to σ for regime classification. |
**Lookback Tuning Guide:**
- `10–20` bars → reactive, tracks recent volatility closely, cone resizes quickly
- `30` bars → balanced default, smooths out single-spike distortions
- `60–100` bars → slow-moving, regime-level volatility, stable cone width
### Projection
| Input | Default | Description |
|---|---|---|
| Forward Bars | 15 | How many bars ahead the cone projects. |
| Show 1σ Band | On | Displays ±1σ boundary (~68% probability zone). |
| Show 2σ Band | On | Displays ±2σ boundary (~95% probability zone). |
| Show Midline Anchor | On | Dotted horizontal line at anchor price. |
**Forward Bars Tuning Guide:**
- `5–10` bars → scalping and intraday setups
- `10–20` bars → swing trading (recommended for 4H/Daily)
- `20–50` bars → position trading and options expiry targeting
**Important:** Doubling forward bars does NOT double the projected range. Due to the √t rule, doubling projection bars widens the cone by only ~41%.
## Visual Guide
### Band Colors and Meaning
```
+2σ ──────────────────────────── Crimson solid (outer extreme, ~95%)
░░░░ TEAL FILL (upside risk zone) ░░░░
+1σ - - - - - - - - - - - - - - Green dashed (primary upside boundary, ~68%)
▓▓▓▓ NAVY FILL (highest-probability core) ▓▓▓▓
MID ····························· Grey dotted (anchor / flat scenario)
▓▓▓▓ NAVY FILL (highest-probability core) ▓▓▓▓
−1σ - - - - - - - - - - - - - - White dashed (primary downside boundary, ~68%)
░░░░ MAGENTA FILL (downside risk zone) ░░░░
−2σ ──────────────────────────── Crimson solid (outer extreme, ~95%)
```
### Three-Layer Fill System
**Navy Core (±1σ interior):** The highest-probability zone. Statistically, ~68% of all future closes are expected to land here. This is where price "wants" to stay in a low-volatility regime.
**Teal Upside Zone (+1σ to +2σ):** The upside risk corridor. Price entering this zone is statistically elevated — possible, but in the outer 14% of expected outcomes.
**Magenta Downside Zone (−1σ to −2σ):** The downside risk corridor. Mirror of the teal zone. Price here signals a statistically significant down-move.
---
## Trading Applications
### 1. Cone Width as Regime Filter
The most important signal is the **width of the cone itself**, not where price is within it.
- **Tight cone** = low volatility, compressed range → range-bound playbook (fade edges, mean revert to midline)
- **Wide cone** = high volatility, expanded range → momentum playbook (ride direction, wider stops)
Never take a counter-trend trade in a wide, expanding cone. Never chase a breakout in a tight, contracting cone.
### 2. Price at 1σ Edge = Mean Reversion Setup
When price reaches the projected +1σ or −1σ label price, it has statistically entered the outer 32% of expected outcomes.
**Setup:**
```
Condition 1: Vol Regime is STABLE (─)
Condition 2: Price has reached the ±1σ label level
Condition 3: Rejection candle confirms (wick, doji, engulf)
Entry: Fade the move back toward midline
Target: Anchor price (midline)
Stop: Just beyond the ±2σ label
R:R: Typically 2:1 to 3:1 depending on cone width
```
### 3. 2σ Touch = Extreme Signal
A touch of the ±2σ boundary represents a 2-standard-deviation move. Statistically, only ~5% of future closes are expected to exceed this level.
- In a **stable** or **contracting** regime: high-conviction mean reversion entry with defined risk to the 2σ line
- In an **expanding** regime: possible breakout continuation — wait for candle confirmation before fading
- Use the 2σ label price directly as a hard stop level for trades taken inside the cone
### 4. Vol Regime Arrow as Trade Filter
The regime classification in the dashboard acts as a meta-filter over all other signals.
- **▲ EXPANDING (red):** Do not counter-trend trade. Only take momentum entries in the direction of the move or stay flat. Cone edges are likely to be broken.
- **▼ CONTRACTING (green):** Volatility is compressing. A breakout is loading. Watch for the first expansion candle and trade the direction of the break. This is often the highest R:R setup the cone generates.
- **─ STABLE (white):** Range conditions active. Mean reversion setups at σ edges are highest probability in this state.
### 5. Stop Placement Reference
The σ label prices at the cone's right edge provide statistically-grounded stop levels:
- **Conservative stop:** Beyond ±2σ label (95% of moves contained)
- **Standard stop:** Beyond ±1σ label (68% of moves contained)
- **Tight stop:** A fixed percentage of the ±1σ distance
This gives every trade a volatility-adjusted stop rather than an arbitrary fixed-pip or percentage stop.
---
## Timeframe Recommendations
| Timeframe | Lookback | Forward Bars | Vol Method | Best Use |
|---|---|---|---|---|
| 5m / 15m | 20 | 10 | Garman-Klass | Scalping entries |
| 1H | 30 | 15 | Parkinson or GK | Intraday swing |
| 4H | 30 | 15 | Parkinson | Swing trading (default) |
| Daily | 30–50 | 20 | Close-to-Close | Position trading |
| Weekly | 20 | 10 | Close-to-Close | Macro range framing |
---
## Asset Class Notes
**Crypto (BTC, ETH, SOL, etc.):**
Parkinson is recommended over Close-to-Close due to large intrabar ranges common in 24/7 markets. Cone will be noticeably wider than equities at equivalent timeframes, reflecting structurally higher realized volatility. The 2σ touch setup is especially reliable on 4H BTC during STABLE regimes.
**FX:**
Parkinson works well. Forward Bars of 10–15 on 4H aligns well with typical intraweek swing durations. Cone width is generally tighter than crypto, making σ edge touches more frequent.
**Equities / Indices:**
Garman-Klass recommended for intraday. Close-to-Close is standard for daily and above. Be aware that equity close-to-close can underestimate true vol during earnings season — consider switching to Garman-Klass temporarily.
**Commodities:**
Parkinson preferred. Energy and agricultural commodities have gap and range behavior similar to crypto.
---
## Technical Notes
- The cone redraws on every bar close. It is anchored to the current close and always projects forward from the most recent confirmed price. This is expected behavior — not a repaint flaw.
- Fills are capped at 16 segments per zone to remain within Pine Script's linefill object limit (~50 total). At default 15 forward bars, all fills render completely.
- The annualization factor is automatically adjusted for timeframe: Daily (√252), Weekly (√52), Monthly (√12), and intrabar (derived from `timeframe.in_seconds()`).
- All price labels use comma-formatted output (e.g., `74,161.34`) for readability at large price scales.
---
## Disclaimer
The Hash Dispersion Cone is an educational and analytical tool. Statistical probability does not guarantee any specific price outcome. All trading involves risk. Past statistical behavior does not guarantee future results. This indicator does not constitute financial advice.
---
*Published on PulseWire by Hash Capital Research * Indicator
Multi-Sigma Bands [fmb]Multi-Sigma Bands plots standard deviation (sigma) bands around a selectable basis (SMA, EMA, RMA, or Linear Regression). It’s designed to help you spot when price is behaving “normally” versus when it’s stretching into statistically extended territory.
What it shows
- Basis: the central reference line (your chosen basis type)
- ±1σ zone: the common range where price spends much of its time
- ±2σ zone: extended range where moves often become more emotional or trend-driven
- ±3σ zone: extreme range where price is statistically stretched (risk increases)
How to read it
- Inside ±1σ
- Often normal behaviour and mean-reverting price action around the basis.
- Between ±1σ and ±2σ
- A meaningful extension. In trends, price can “walk” these areas for longer than expected.
- Between ±2σ and ±3σ
- Rare extension. Can signal exhaustion, blow-off behaviour, or capitulation depending on direction and context.
How traders typically use it
- Trend context
- In strong uptrends, price may ride the upper bands (+1σ to +2σ) repeatedly.
- In strong downtrends, the lower bands (-1σ to -2σ) can act the same way.
- Bands show statistical stretch, not automatic reversal signals.
- Extension and risk framing
- The farther price is from the basis, the more “stretched” it is.
- That usually means chasing becomes riskier and entries require tighter confirmation.
- Range behaviour
- Ranges often oscillate around the basis, with frequent returns toward the middle zone.
Settings
- Source: what price series to use (Close by default)
- Length: lookback used for both basis and standard deviation
- Basis: SMA, EMA, RMA, or LinReg
- Stdev smoothing: optional smoothing on standard deviation for cleaner bands
- σ multipliers: customise σ1, σ2, σ3 (defaults: 1, 2, 3)
- Force Monthly Data (optional): calculate bands using a higher-timeframe source to reduce noise and focus on macro structure
Disclaimer
This indicator is for informational and educational purposes only and is not financial advice. Always use risk management and confirm with market structure and trend context. Indicator
Outliers Detector with N-Sigma Confidence Intervals (TG fork)Display outliers in either value change, volume or volume change that significantly deviate from the past.
This uses the standard deviation calculation and the n-sigmas statistical rule of significance, with 2-sigma (a value of 2) signifying that the observed value is stronger than 95% of past values, and 3-sigma 98.5% of past values, and so on for higher sigma values.
Outliers in price action or in volume can indicate a strong support for the move, and hence potentially more moves in the same direction in the future. Inversely, an insignificant move is less likely to be supported. And of course the stronger, the more support.
This indicator also doubles as a standard volume indicator if volume is selected as the source, but with the option of highlighting outliers.
Bars below significance can be uncolored (gray) to unclutter the visuals.
Differently to almost all other similar indicators, the background highlighting is dynamical, so that all values will be highlighted differently, not just 2-sigma or 3-sigma, but also 4-sigma, 5-sigma, etc, with a different value of transparency.
The dynamical transparency value can be calculated in two ways: either statically proportionally to the n-sigma but capped at 10-sigma, or either as a ratio relative to the highest observed sigma value over the defined lookback period (default: 300).
If you like this indicator, which is an extension of previously published indicators, please give some love to the original authors:
* tvjvzl :
* vnhilton :
This extension, authored by Tartigradia, extends tvjvzl's indi, implements vnhilton's idea of highlighting the background, and go further by adding dynamical background highlighting for any value of sigma, add support for volume and volume change (VolumeDiff) as inputs, add option to uncolor insignificant bars, allow plotting in both directions and more. Indicator
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Indices Sector SigmaSpikes█ OVERVIEW
“The benchmark Dow Jones Industrial Average is off nearly 300 points as of midday today...”
“So what? Is that a lot or a little? Should we care?”
-Adam H Grimes-
This screener aims to provide Bird-Eye view across sector indices, to find which sector is having significant or 'out-of-norm' move in either direction.
The significance of the move is measured based on Sigma Spikes, a method proposed by Adam H. Grimes, where Standard Deviation of returns used as a baseline.
*You can google his blog or read his book, got some gold in there, especially on how he use indicators for trading
█ Understanding Sigma Spikes
As described by Grimes, moves in markets are only meaningful when we consider what “normal” is for that market.
Without that baseline, the daily change number, and even the percent change on the day doesn’t really mean much.
To overcome that problem, Sigma Spikes, as a measure of volatility, attempt to put todays change in price (aka return) in context of the standard deviation of 20 days daily's return.
Refer chart below:
1. The blue bars refer to each days return
2. The orange line is 1 time standard deviation of past 20days daily's return (today not included)
3. The red line is 2 time standard deviation of past 20days daily's return (today not included)
Using the ratio of today's return over the Std Deviation, determining your threshold (1,2,3,etc) will be the key that tells if today's move is significant or not.
*Threshold referring to times standard deviation, and different market may require different threshold.
*20 Days period are based on the Lookback Period, adjustable from user input window.
█ Features
- Scan up to 13 symbols at a time (Bursa (MYX) indices are defaulted, but you may change to any symbols/index from the user input setting)
█ Limitation
- Due to multiple use of security() function required to call other symbols, expect the screener to be slow at certain times
- Custom Timeframe currently accept only Daily and Weekly. I'll try to include lower timeframe in the next update
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Any ideas to further improve this indicator are welcome :) Indicator
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