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Long-Term Trend & Valuation Model

See on TradingView

Open the Long-Term Trend & Valuation Model on TradingView. Invite-only.

Overview

This invite-only tool is a two-layer framework designed to simplify long-horizon decision-making:
  • Valuation Engine - measures how extended price is relative to its own regime. Outputs a single oscillator centered on zero, bounded by configurable overbought / oversold thresholds.
  • Trend Model - aggregates several independent long-term subsystems into a composite strength score, mapped to a long / cash / short stance.
The separation of “where we are in the cycle” from “what to do about it” makes this model particularly suited to assets with strong boom-bust structures (like crypto). Each layer answers one question, and they’re designed to be read together, not as standalone signals.

Valuation Engine

The valuation oscillator is a weighted blend of six standardized components. Each component measures a different facet of “extension” relative to the asset’s own historical regime, then gets normalized so that all signals sit on the same scale before they’re combined.

How it is built

Reading the oscillator

Configurable inputs

Threshold modes

  • Fixed thresholds - default ±1.5, configurable.
  • Dynamic (k · σ) - thresholds become mean ± k · σ over a rolling window (default 100 bars, k = 1.5). Optionally center at zero to use ±k · σ regardless of mean drift.

Built-in summary table

A right-corner summary table prints each component’s current z-score plus a 🟢 / 🔴 status emoji, the Final Score, and the overall valuation emoji. Toggle on/off via Show Summary Table. The table works in light or dark mode (controlled by the Light or Dark Mode input).

Trend Model

The trend layer combines seven independent long-term subsystems. Each subsystem produces its own long / short / neutral vote on the prevailing regime, and the votes are averaged into a single composite score in the range [-1, +1]. The subsystems are deliberately diverse - each looks at trend from a different mathematical lens (price-anchor alignment, persistence checks, macro regime confirmation, higher-timeframe overlays, etc.). You can toggle any subsystem on or off independently.

Subsystem toggles

Disabling a subsystem reweights the composite among the remaining active subsystems - so you can trim the model down to only the lenses you trust without throwing the score off scale.

Interpretation

A colored signal line is plotted on the price chart (overlay), optional bar coloring is available, and a right-corner table reports the current strength (%), rate of change, and position state.

Configurable inputs

How to Use

Cycle framing

Read valuation and trend as a 2×2 matrix - the combination tells you what stage of the cycle the asset is in.

Workflow examples

  • Regime allocation - increase exposure when trend is Long and valuation is rising; reduce when trend is Short and valuation is falling.
  • Signal gating - only run shorter-term entry systems in the composite trend’s direction.
  • Sizing overlay - scale smaller near upper-band stretches; scale larger after valuation resets near zero.
  • DCA context - accumulate while valuation is negative but stabilizing (slope flattening), not while it’s still falling.
  • Cross-asset rotation - compare valuations across multiple assets on the daily timeframe and rotate to where conditions are most favorable.

Alerts

Built-in alert conditions:

Valuation alerts

Trend alerts

Strengths

  • Separates cycle context from trend stance - two questions, two answers, no conflation.
  • Multi-component voting - both layers use diverse subsystems so no single component can drag the model off course.
  • Volatility-aware scaling - keeps “extreme” meaningful across changing regimes.
  • Per-component toggles + weights - you can tune the model to your preferred lenses without rewriting the script.
  • Clear visuals and alerts - encourages long-horizon discipline rather than minute-to-minute reactivity.

Final Notes

The Long-Term Trend & Valuation Model is not designed to catch every swing. It is built to keep you aligned with the dominant trend, help manage risk around cycle extremes, and provide a consistent language for allocation decisions across timeframes and assets.