Indicator Overview
The Logarithmic Risk is a long-term valuation and risk-assessment tool that measures historical over- and underextension relative to a long term average. By combining logarithmic price deviation with a time-weighting factor, it creates a single metric that gives greater relevance to recent market cycles while preserving the full historical spectrum. The resulting values are normalized across all available data and displayed as colored dots above the price chart, using a 6-stage heat-map scale from peach (extreme underextension) to dark red (extreme overextension).

Three key projected price levels — Max Risk, Median Risk, and Min Risk, are displayed in real time, showing the price that would correspond to the most extreme historical deviations if they occurred today.

Dual-Ticker Comparison Logic

The Ticker fields allow you to transition from absolute price analysis to relative strength analysis:

• Single Stock Analysis: If Ticker 2 is left blank, the indicator defaults to measuring Ticker 1against US Dollars. This allows you to analyse the asset's individual performance.

• Pair Trading & Ratios: Enter a symbol in both fields (e.g. NVDA vs. TSLA) to analyse the relationship between the two. The indicator automatically calculates the ratio (Ticker 1 / Ticker 2), helping you identify when one asset is becoming "expensive" or "cheap" relative to its peer, independent of broader market direction.

How To Use
Extreme dark red dots signal historically rare overextension and elevated crash risk, while peach/white dots indicate extreme underextension and historically strong accumulation zones. The Max Risk annotation (red) represents the price level it would reach if current market structure replicated the most overextended regime in history, serving as a dynamic upper-boundary warning. Conversely, the Min Risk annotation (green) marks the level corresponding to the deepest historical undervaluation. Traders use crossings of the Median Risk line and clustering of dot colors to assess regime shifts, identify potential cycle tops and bottoms, and calibrate position sizing. The indicator is most effective on full logarithmic history views and serves as a strategic compass for cycle-aware investors rather than a short-term timing tool.