Recency Bias Adjuster

Overview

This pillar corrects for recency bias, a common error where traders overvalue the latest events. It helps identify when short-term market movements are emotional overreactions rather than fundamental shifts, providing a more grounded perspective.

What It Does

The Recency Bias Adjuster systematically analyzes the deviation between short-term and long-term trends in market data. It calculates a penalty score for recent data points that diverge sharply from the historical baseline without a clear structural cause. This process smooths out volatile price action to reveal the underlying, more stable probability.

Why It Matters

Markets often overreact to breaking news, creating mispriced opportunities for disciplined traders. This pillar provides a systematic way to fade irrational exuberance or panic, anchoring predictions to a more stable historical context. It helps you avoid being swayed by the latest headline.

How It Works

First, the pillar establishes a long-term moving average for a market's probability. It then compares this baseline to a shorter-term moving average. If the short-term average deviates beyond a set volatility threshold, a 'recency penalty' is applied, effectively reducing the weight of the newest data in the overall forecast.

Methodology

Calculates a long-term trend using a 90-day Exponential Moving Average (EMA) and a short-term trend using a 7-day EMA. The 'Deviation Score' is (Short_EMA - Long_EMA) / Long_EMA. If the absolute Deviation Score exceeds two times the standard deviation of the long-term price history, a penalty is applied using a logarithmic decay function, reducing the weight of the most recent 7 days of data by up to 40%.

Edge & Advantage

It provides a contrarian signal by systematically identifying and quantifying market overreactions, allowing you to position against irrational short-term momentum.

Key Indicators

• Recency Weight Penalty

  high

  The percentage by which the weight of recent data is reduced in the final analysis.

• Trend Deviation Delta

  high

  The percentage difference between the short-term and long-term moving averages.

• Volatility Threshold

  medium

  The statistical boundary that triggers the application of the recency penalty.

Data Sources

• Prediction Market Price History

  Historical odds and probability data from the specific market being analyzed.

Example Questions This Pillar Answers

• → Will a political candidate's approval rating recover to its baseline after a recent gaffe?
• → Will Bitcoin's price fall back toward its 90-day average after a sudden social media-driven surge?
• → Will a sports team's championship odds return to the mean after an unexpected loss to a weaker opponent?

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