Installation

Add The Gear indicators to your TradingView chart in under 60 seconds.

Requirements

• TradingView account (Free account works perfectly)
• Pine Script v6 runtime environment
• Active subscription to The Gear via Whop

Step-by-Step

1. Open TradingView and navigate to the Pine Editor panel.
2. Click Indicators → Invite-only scripts.
3. Search for The Gear in the indicator search bar.
4. Click the indicator you want to add — it will appear on your chart immediately.
5. Open the Settings gear icon to configure input parameters.

Access Management

Access is managed automatically through Whop. After subscribing to The Gear on Whop, make sure to link your TradingView account in your Whop dashboard. Your TradingView username is automatically whitelisted within 5 minutes. If the indicator does not appear under Invite-only scripts, try refreshing your TradingView page or clearing your browser cache.

Try a Demo

Get a taste of The Gear indicator suite with our free, limited Lite versions on TradingView.

Statistical VWAP Levels (Elite+)

Indicator ID: StatVWAP (Elite+) — Pine Script v6 Overlay Indicator

#1 Core Identity

Purpose:
To project statistically-derived price expansion levels above and below a prior session's VWAP, giving traders objective, data-backed targets and decision zones rather than arbitrary fixed multiples. The indicator answers the question: "Based on how far price has historically moved from this anchor, where is it likely to expand to — or reject from — this session?"

Target Market:
Optimized for any liquid instrument with meaningful volume data — particularly index futures (NQ, ES, MNQ, MES), Forex majors, and crypto perpetuals. Most effective on intraday timeframes (1m–15m chart) with a Daily HTF anchor during regular trading hours (RTH), though the multi-HTF architecture makes it adaptable to swing trading setups as well.

#2 Concept & Calculation (The "Teaser")

Underlying Logic:

The indicator is built on the premise that VWAP deviation is not random — it is statistically bounded. Every session, price stretches a measurable distance from its VWAP anchor. By collecting those historical stretch distances over a user-defined lookback window, the script builds a live probability distribution of expected ranges.

Rather than projecting today's levels using only today's volatility (as a standard VWAP band does), this indicator learns from the past N sessions and places its bands at levels where price has actually reached — filtered through mean, median, Donchian median, or standard deviation logic. The result is a set of dynamically-calibrated expansion targets that adapt as market conditions shift.

The baseline anchor can be either the previous session's closing VWAP (reflecting where smart money last valued price) or the current session's opening price (reflecting gap-and-go or mean-reversion setups).

The Formula (High-Level):

1. For each completed HTF session, a raw deviation value is harvested by measuring the distance between the session's VWAP and a multiple of its internal price variance — essentially how "stretched" price became relative to its fair value anchor.
2. These raw deviation values are stored in a rolling history buffer (your Lookback Days setting).
3. On each new session open, the buffer is statistically processed — averaged, sorted for median, or converted into a standard deviation — producing a single representative expansion distance per group (G1, G2, G3).
4. That distance is projected symmetrically upward and downward from the anchor price, creating the six deviation bands visible on the chart.

Three groups of bands are generated, with each group representing a progressively wider expected range (configurable via the deviation multipliers). Think of them as the 1-sigma, 2-sigma, and 3-sigma equivalent zones, but derived from observed historical behavior rather than a theoretical bell curve.

#3 Visual Anatomy

Chart Placement: Overlay on the main price chart. All elements are drawn using xloc.bar_time, so they align correctly regardless of session gaps or market closures.

Signal & Visual Meanings:

Table (Dashboard):

A compact overlay table showing the current session's projected levels for all active HTF slots. Two layout modes:

• Default Mode: Two columns per HTF — level name and current price. Clean, minimal.
• Optimum Mode: Six columns per HTF — level name, price, and four quadrant columns (Q1–Q4). The quadrant cells shade gray when price has mitigated (touched/crossed) that level during that quarter of the session, building a real-time interaction map. This tells you at a glance which levels have already been tested and which remain unmitigated.

Level Row Order (top to bottom in table):

+G3  →  Outer upper band
+G2  →  Mid upper band
+G1  →  Inner upper band
VWAP →  Baseline anchor
-G1  →  Inner lower band
-G2  →  Mid lower band
-G3  →  Outer lower band

#4 Inputs & Settings

── Higher Timeframes ──

── Deviation ──

── Calculation ──

Calculation Method Breakdown:

── Styling ──

── Table [Mode, Position, Size] ──

#5 Usage Notes

• Session Boundary Behavior: Levels are fixed at the start of each new HTF session and do not repaint. The only live update is the line's right-side endpoint (x2), which advances bar-by-bar until the session closes.
• Quadrant Mitigations Reset: The Q1–Q4 hit flags in Optimum Mode reset at the start of each new HTF session, so the table always reflects the current session's interaction history.
• Multiple HTFs Together: Running Daily + 4H simultaneously gives a confluence map — when a Daily G1 level sits close to a 4H G2, the overlap becomes a high-probability reaction zone.
• Lookback Calibration: On a new instrument or after a volatility regime change, allow at least 20+ sessions of history before relying heavily on the bands. Early in history, bands may be unusually wide or narrow.

Statistical OHLC Ledge (Elite+)

Indicator ID: StatOHLC (Elite+) — Pine Script v6 Overlay Indicator

#1 Core Identity

Purpose:
Statistical OHLC Ledge (Elite+) calculates and projects five statistically-derived price levels ahead of each Higher Timeframe (HTF) session. It answers the question: "Where is price statistically likely to reach during this session, based on how far it has historically traveled above and below its opening price?"

The indicator serves three core jobs:

• Level identification — Define expected intraday high/low targets before price gets there
• Bias framing — Determine whether price is in a manipulation phase or distribution phase relative to the HTF open
• Mitigation tracking — Log which price levels have been touched within each quarter (Q1–Q4) of the active session

Target Market:
Designed for intraday traders operating on any liquid instrument — equity index futures (NQ, ES, MNQ), Forex majors, or crypto pairs. The indicator only activates when the chart is on an intraday timeframe; it will not plot on daily or higher charts.

#2 Concept & Calculation (The "Teaser")

Underlying Logic:

The indicator is grounded in the Power of Three (PO3) market structure concept: every HTF candle has three behavioural phases — accumulation near the open, a manipulation sweep in one direction, and a distribution move in the opposite direction.

Rather than using fixed pip/point values to anticipate where those sweeps will reach, this tool measures how far price has historically traveled from the open into each phase over a user-defined lookback window, then applies that statistical measure to the current session's open to derive forward-looking price levels.

The Formula (High-Level):

1. For each completed HTF candle in the lookback window, the indicator captures:
   • The manipulation range — the distance the candle travels from its open in the losing direction (below open on a bull candle, above open on a bear candle)
   • The distribution range — the distance the candle travels from its open in the winning direction (above open on a bull candle, below open on a bear candle)
2. Those historical ranges are then aggregated using one of five statistical methods (selected by the user), and the resulting value is added/subtracted from the current session's open price to produce the five projected levels.
3. The calculation can operate in either raw price points or tick-normalised units to make the lookback portable across instruments with different price increments.

#3 Visual Anatomy

Chart Placement: Main chart overlay. Lines, boxes, and labels are drawn directly on the price pane. The table floats in a configurable corner of the chart window.

Signal & Visual Meanings:

Zone Mode:

When the Mean + Normal Median (Zone) calculation method is active, the indicator draws shaded boxes instead of single lines for the manipulation and distribution pairs. Each box spans the gap between the Mean and the Median projection, creating a probability zone rather than a single price target. The Mean and Median can use independent lookback lengths in this mode.

Table (Dashboard):

A companion table (optional, per HTF) is displayed in the corner of the chart. It divides the active session into four equal time quarters (Q1–Q4) and shades a cell whenever price has crossed a given level during that quarter.

┌──────────────────────────────────────┐
│  1D (20)   │   Q1  │  Q2  │  Q3  │  Q4  │
├────────────┼───────┼──────┼──────┼──────┤
│ +DIS  │price│  ░░  │      │      │      │
│ +MAN  │price│      │      │      │      │
│ OPEN  │price│  ░░  │  ░░  │      │      │
│ −MAN  │price│      │      │      │      │
│ −DIS  │price│      │      │      │      │
└──────────────────────────────────────┘

Shaded cells (░░) indicate a mitigation (price touched that level in that quarter).

#4 Inputs & Settings

── Higher Timeframes ──

── Calculation ──

Calculation Method Options:

── Styling ──

── Overrides ──

── Alerts ──

#5 Usage Notes

• The indicator is intraday-only. Add it to a chart set to any sub-daily timeframe (e.g. 1m, 5m, 15m). It will produce no output on daily or weekly charts.
• For best results on index futures, set HTF 1 to Daily and use the Mean method with a 20-bar lookback as a starting baseline.
• When using Zone mode with the override enabled, a shorter Mean lookback (e.g. 20) combined with a longer Median lookback (e.g. 60) provides a zone where the inner edge reflects recent behaviour and the outer edge reflects longer-term statistical norms.
• The Donchian Median method is useful for instruments with fat tails (e.g. crypto) where the standard median underestimates true range potential.
• Enabling Table Only mode for secondary HTFs (HTF 2, HTF 3) keeps the chart clean while still surfacing their level prices and mitigation status in the dashboard table.

Statistical Bar-Range Matrix (Elite+)

Indicator ID: StatRange (Elite+) — Pine Script v6 Overlay Indicator

#1 Core Identity

Purpose:
This indicator projects statistically-derived price levels for the current higher-timeframe (HTF) session directly onto the intraday chart. Its primary job is to answer the question: "Given how this instrument has historically behaved from its open, where is price statistically likely to reach — high, low, close, and midrange?"

It serves three complementary roles:

• Bias framing — defines an expected range envelope (bull vs. bear side) before price gets there
• Target mapping — gives actionable price levels for entries, exits, and stop placement
• Mitigation tracking — monitors in real-time which levels have been touched (mitigated) and in which quarter of the session it happened

Target Market:
Optimized for intraday trading on any liquid instrument (equities, indices, futures, forex, crypto). It is most effective when applied to instruments with consistent daily open-drive behavior — such as index futures (ES, NQ, MNQ), major forex pairs, or large-cap equities — where historical open-to-high/low distributions carry forward predictive value.

#2 Concept & Calculation (The "Teaser")

Underlying Logic:

The core philosophy is statistical range projection from the open. Rather than using arbitrary fixed levels or percentage-based pivots, this indicator studies how far price has historically traveled from the session open to reach its high, low, close, and midpoint — and uses those distributions to project expected zones for the current session.

The model decomposes each historical bar into a set of directional distance components — from open to midrange, midrange to high, midrange to close, etc. — and accumulates these over a configurable lookback window. From that distribution it can derive the mean, median, Donchian midpoint, or standard deviation, giving the user control over how "aggressive" or "conservative" the projected levels should be.

The Formula (High-Level):

At each new HTF candle open, the indicator:

1. Measures the historical distance from open to each structural level (high, statistical close — bull side, upper midrange, lower midrange, statistical close — bear side, low) across the lookback period
2. Aggregates those distances using the chosen statistical method (mean, median, Donchian midpoint, or standard deviation band)
3. Projects the result symmetrically above and below the current session's open price, generating 7 horizontal price levels
4. Tracks which of those levels price touches during each quarter of the session, populating a mitigation matrix table

The calculation can be performed in price points or ticks, and can be independently configured per HTF.

#3 Visual Anatomy

Chart Lines:

All levels are drawn as horizontal lines extending from the HTF session open time to the current bar (or session close, depending on the Line Position Mode setting).

Zone Mode (Mean + Normal Median):

When Zone calculation mode is selected, paired lines are replaced by shaded boxes spanning from the Mean projection to the Median projection of each level, creating a visual zone of confluence rather than a single line.

Labels:

Each line or zone can optionally display a label at its right edge showing the level name, price, both, or nothing — configurable per preference.

Mitigation Table:

A compact on-chart table displays a mitigation matrix for each enabled HTF. Columns represent the four temporal quarters of the session (Q1–Q4). Rows represent the 7 price levels. A cell is highlighted (gray fill) when price has touched that level during that quarter of the session, giving a quick read on which levels have been respected and which remain open.

#4 Inputs & Settings

── Higher Timeframes ──

── Calculation ──

Calculation Methods Explained:

── Styling ──

── Overrides ──

── Alerts ──

#5 Quick-Start Recommendations