Williams %R (Williams Percent Range)
Momentum oscillator that measures overbought and oversold levels by comparing current closing prices to the highest high and lowest low over a specified period
Technical Overview
The Williams %R is a momentum oscillator developed by Larry Williams that measures overbought and oversold levels by comparing the current closing price to the highest high and lowest low over a specified period (typically 14). The indicator oscillates between 0 and -100, with readings above -20 indicating overbought conditions and readings below -80 suggesting oversold conditions.
Key Insight: Williams %R is essentially an inverted stochastic oscillator, providing similar signals to the Stochastic but with a different scale. The indicator is particularly effective for identifying potential reversal points and momentum shifts in both trending and ranging markets.
How Williams %R Works
What Williams %R Actually Measures
Think of Williams %R as a “price position meter” that answers: “Where is the current price relative to its recent range?”
Step 1: Find Price Range
Williams %R looks at the highest high and lowest low over the specified period
Step 2: Calculate Position
It determines where the current close is positioned within that range
Step 3: Output %R Value
Outputs a value from 0 to -100 showing price position and momentum status
Reading Williams %R Values
Price near range bottom, potential reversal signal
Price in middle of range, balanced momentum
Price near range top, potential reversal signal
Key Williams %R Components
Highest High
The maximum price reached over the specified lookback period, serving as the upper boundary for the price range calculation.
Lowest Low
The minimum price reached over the specified lookback period, serving as the lower boundary for the price range calculation.
Current Close
The most recent closing price that is compared to the established price range to determine its relative position.
%R Line
The final oscillator value ranging from 0 to -100 that indicates overbought, oversold, or neutral market conditions.
Strategy Integration
5-Day Predictions
How Williams %R Data Powers Machine Learning:
- Feature Input: Williams %R values provide momentum signals for the RandomForest model alongside RSI, MACD, and other indicators
- Overbought/Oversold Detection: Model learns to recognize reversal zones and momentum extremes
- Divergence Analysis: Williams %R divergences help the model spot early trend changes
- Breakout Confirmation: Williams %R confirms the strength of price breakouts
- Noise Filtering: Neutral Williams %R helps the model avoid choppy, directionless markets
Real Impact: Williams %R helps the model time entries and exits based on momentum shifts and reversal signals
1-Year Predictions
How Williams %R Enhances Long-Term Forecasting:
- Cycle Analysis: Model uses Williams %R to identify major market cycles and regime shifts
- Persistence Modeling: Extended Williams %R extremes help spot long-lasting momentum phases
- Volatility Context: Williams %R trends help predict periods of high/low momentum volatility
- Sector Rotation: Model learns when strong Williams %R favors growth vs defensive sectors
- Macro Confirmation: Williams %R combined with economic indicators improves macro momentum calls
Real Impact: Williams %R helps the long-term model time major allocation changes and sector rotations
Williams %R Level Interpretation
Why Use Williams %R in Trading?
- Overbought and oversold condition identification
- Momentum divergence detection for trend reversal signals
- Entry and exit timing optimization
- Risk management through extreme level awareness
- Confirmation of price breakouts and reversals
- Market regime identification for strategy selection
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