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Vitruvian Time & Price

Overlays cycle geometry onto price so you can see repeating time/price structure. Adjust the cycle and where it starts to test different rhythmic partitions of the same data.

Inputs: Cycle = cycle length (bars). Start/Offset = where the cycle anchor begins. Divisions = how many partitions inside each cycle (2–12). Higher divisions = denser geometry.

Planetary Confluence

Maps planetary timing into bar-index “event marks” and highlights periods where multiple cycles cluster. Use it to identify time windows of elevated confluence (potential volatility/turn risk), not direction by itself.

Inputs: Planet selections (where shown), TF, and any window controls on the toolbar.

Planetary Time‑Tier (V2)

Builds horizontal price tiers (bands) derived from time/price harmonics. The tiers are “zones” where price often reacts, not exact single-price lines.

Inputs: Price/° controls tier spacing. Optimize auto-selects a spacing that yields about 3–4 clear tiers in the current view for readability. Bars controls the window.

Golden Ratio

Projects proportional bands using φ relationships. Useful for measuring expansions/retracements around an anchor move and spotting proportional “steps” in structure.

Inputs: Anchor/window controls and scaling inputs shown in the panel.

Vitruvian Star

A geometry-first cyclical view emphasizing symmetry and repeated partitions. Use it as a fast pattern lens when comparing different cycle lengths.

Inputs: Cycle/offset and star-specific controls shown in the toolbar.

3D Price Model

A lightweight 3D model of price through time. Drag to rotate and use volume depth to see “thickness” where activity increased. It’s a visual structure tool—pair it with Honeycomb/Stops for decisions.

Controls: Toggle Volume depth, adjust Z‑Scale, drag to rotate, wheel to zoom.

3D Spiral Vitruvian (Classic) wraps time around a spiral while keeping price on the vertical axis. Use Bars/Spiral, Depth, and Rad Step to shape the helix; enable Cycle to overlay a tunable cycle on the spiral path.

2D Hybrid (Price × OI) is the 2D companion to the 3D Spiral Hybrid. The top panel shows price; the bottom panel shows a hybrid “importance” curve (price weighted by Open Interest, or Volume). Use it to learn what the 3D peaks mean in a traditional chart view. Hover to read exact date + values.

Candles + OI‑Weighted Moving Averages

A traditional candlestick view with moving averages that can be weighted by Open Interest. Use it to separate “quiet” moves from moves supported by rising participation (OI build) and to see where OI contraction may be deflating trend strength.

Controls: Window navigation (Prev/Next/Jump), MA length/type (SMA/EMA/WMA), and OI weighting modes (none, OI level, ΔOI%, z‑score). Sensitivity sets how strongly OI affects the average; Clamp limits extreme distortion.

Gleason‑Vitruvian Stop

An interactive stop/flip framework based on recent structure. Use it to explore risk placement and structural invalidation levels. Always sanity-check with volatility and your market’s tick value.

Inputs: Long/Short lengths, offsets, and other stop parameters in the panel.

Vitruvian Correlation / Backtest

This tool searches for the closest historical analog window by correlation on Close price, then projects what happened next. Use it to explore “if this looks like that, what followed?” scenarios. It is a pattern lens, not a guaranteed forecast.

Inputs: Bars = size of the window being matched. Future = forecast length. TF = timeframe. Prev/Next steps through ranked analogs.

Echo Chart

Repeats (“echoes”) prior swing rhythm forward in time to visualize potential continuation of cadence. Use it to generate timing hypotheses, not certainty.

Inputs: Echoes = number of repeats. Mode chooses spacing behavior (Uniform vs Expanding). Gap %/Ratio control how spacing grows.

Honeycomb Grid

Plots a repeating lattice in price space from an anchor. It can reveal recurring reaction points, consolidation structure, and geometric symmetry. Best paired with trend/context from other modules.

Inputs: Grid spacing/scale, anchor controls, and window length as shown.

Order Flow Memory Field

Builds persistent “ghost levels” from absorption and rejection events. Nodes fade over time unless price revisits them (reactivation), creating a living map of where the market has unfinished business.

Controls: Detection thresholds (volume + body/wick structure), Half‑life decay, Tolerance (ATR/%), Touch boost, max nodes, and rendering options (band thickness, opacity, labels).

Fractal Compression Scanner

Measures multi‑scale range compression and volatility contraction. When compression aligns across scales, Pressure rises — stored energy that often precedes expansion.

Outputs: a Pressure score (0–100), multi‑scale compression lanes, and a Bull/Bear bias meter based on structure context (slope + VWAP position + micro‑structure).

Optimize: tunes scale set + compression mapping so the scanner best fits the current market window without curve‑fit “signals”.

Entropy Gradient Ribbon

Measures information entropy in recent returns to estimate order vs randomness. Low entropy tends to coincide with structured trend; high entropy tends to coincide with chaotic churn.

Visual: a flowing ribbon behind price whose thickness and intensity respond to entropy level and entropy slope.

Bull/Bear bias: combines trend slope with (1−entropy) so the meter reflects structure, not prediction.

Optimize: tunes entropy window + flat threshold + smoothing to best fit the current market window.

Behavioral Exhaustion Meter

Pairs with compression by estimating structural fatigue (topping/rolling risk) from multiple components: time spent outside VWAP bands, volume‑delta divergence, participation/OI stretch, and acceleration drop‑off.

• VWAP Win / Band×ATR: defines the mean and extension bands.
• Div Win: divergence window (returns vs volume‑delta proxy).
• Accel Win: acceleration fade window.
• Optimize: tunes windows/thresholds to maximize useful dynamic range.

Regime Signature Identifier

What it is: A self‑contained classifier that labels the current market environment ("regime") using structural features — not indicators. Think of it as the weather report for price action.

How to use: Use the regime label to decide which tools to trust. In a Structured Trend regime, bias + breakouts tend to follow through. In Entropic Turbulence, bias should be dampened and you should expect whipsaw. In Compression Coil, focus on pressure/force tools and wait for release.

• Regime: the current label + glyph (brandable "sigil").
• Stability %: how locked‑in the current regime is (higher = less likely to flip).
• Transition %: near‑term flip pressure (higher = likely to change soon).
• Bull/Bear %: directional tilt tempered by regime (chaos regimes dampen).

Key inputs:

• Window: how many bars define the regime snapshot (bigger = smoother, smaller = faster).
• Segments: splits the window into chunks to measure structural change.
• K (Clusters): number of regime "buckets". 5–7 is a good range.
• Weights: how much to emphasize Volatility vs Entropy vs Compression vs Force.

Optimize: tunes K, segmentation, smoothing, and weights so regimes are stable (no flicker) but still respond to meaningful shifts.

Probability Cone Projection Engine

What it is: A forward structural projection that draws inner/outer cones (≈68% / ≈95%) using volatility memory and regime context. This is not a trade signal; it’s a “most likely space” map for future price.

How to read: The cone widens in chaotic/high‑entropy conditions and tightens in structured/low‑entropy conditions. The cone can also tilt (skew) if force (acceleration) is persistent. When price rides the cone edge, you’re in expansion; when it mean‑reverts back toward the center line, you’re in digestion.

• Center line: expected drift (structure‑weighted), not certainty.
• Inner cone: tighter probability band (≈68%).
• Outer cone: wider band (≈95%).
• Bull/Bear %: projected skew (tilt) tempered by entropy (chaos dampens).

Key inputs:

• Horizon: how far forward the cone projects.
• Vol Memory: how many bars define current volatility (higher = slower, lower = reactive).
• Entropy Weight: how strongly disorder expands/shrinks cone width.
• Force Weight: how much acceleration tilts the cone.
• Gravity (VWAP): how strongly the cone’s drift pulls back toward mean.

Optimize: searches a small grid of horizon/memory/weights to produce a stable, readable cone for the current market window.

Liquidity Void Topology Map (3D)

Builds a 3D “terrain” surface where peaks represent liquidity magnet mass and valleys represent voids / imbalance. Rotate/zoom to see structure from multiple angles.

Surface components: volume density, time‑at‑price, rejection speed (proxy), and failed‑auction / excess tails (proxy). Mass is a weighted blend of these components.

Controls: bins, time segments, smoothing, component weights, Z‑scale, camera yaw/pitch/zoom, wireframe, and export PNG.