Technical Analysis

Williams%R

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Quick Definition

Williams %R — Williams %R is a momentum indicator measuring overbought/oversold conditions, ranging from 0 to -100, similar to an inverted Stochastic.

Track Williams %R with JournalPlus

Williams %R is a momentum oscillator developed by Larry Williams that measures overbought and oversold levels. It shows where the current close is relative to the high-low range over a lookback period. Williams %R ranges from 0 to -100, with readings above -20 indicating overbought and below -80 indicating oversold conditions. It’s essentially an inverted Stochastic oscillator.

  • Ranges from 0 (highest) to -100 (lowest)
  • Above -20 = overbought; Below -80 = oversold
  • Inverted version of Stochastic oscillator

How Williams %R Works

Williams %R shows close position within recent range:

Williams %R Formula:

%R = ((Highest High - Close) / (Highest High - Lowest Low)) × -100

Example (14-period):
Highest High: $110
Lowest Low: $90
Current Close: $105

%R = ((110 - 105) / (110 - 90)) × -100
%R = (5 / 20) × -100
%R = -25

Interpretation:
Close is 75% up from low (only 25% from high)
Reading is overbought territory (above -20)

Quick Reference: Williams %R Levels

%R RangeConditionInterpretation
0 to -20OverboughtPrice near highs
-20 to -80NeutralPrice mid-range
-80 to -100OversoldPrice near lows

Example: Trading Williams %R

Williams %R Oversold Bounce:

DayPrice%RSignal
1$100-45Neutral
5$92-85Oversold zone
8$88-95Deep oversold
10$91-75Exits oversold, BUY
15$100-30Recovering
20$108-15Overbought, watch

Williams %R measures where price closes relative to its recent range. Readings above -20 are overbought; below -80 are oversold. Trade when %R exits extreme zones. It’s an inverted Stochastic—same concept, different scale.

Williams %R Trading Strategies

Oversold/Overbought Exit

Buy when %R rises above -80 from below (exits oversold). Sell when %R falls below -20 from above (exits overbought).

Failure Swings

%R fails to reach -20/-80 on second attempt while price makes new high/low = divergence signal.

With Trend

In uptrends, buy oversold readings. In downtrends, sell overbought readings.

Zero-Line Crossover Alternative

Trade when %R crosses -50 for momentum shifts (less common).

Williams %R vs Stochastic

FeatureWilliams %RStochastic
Scale0 to -1000 to 100
OverboughtAbove -20Above 80
OversoldBelow -80Below 20
Signal lineNoYes (%D)
InterpretationSameSame

Interpreting %R Readings

%R = 0

Close equals the highest high. Maximum bullish.

%R = -100

Close equals the lowest low. Maximum bearish.

%R = -50

Close at midpoint of range. Neutral.

Common Mistakes

  1. Selling at -20 in uptrends – Strong trends stay overbought. Don’t fight the trend.

  2. No confirmation – Wait for %R to EXIT the zone, not just enter it.

  3. Ignoring divergences – Price/indicator divergences are the best signals.

  4. Wrong period – Match the lookback to your trading timeframe.

How JournalPlus Tracks Williams %R

JournalPlus logs Williams %R readings at entry, helping you analyze whether overbought/oversold timing improves your trading results.

Common Questions

What is Williams %R?

Williams %R shows where the current close is relative to the high-low range over a period. It ranges from 0 to -100. Above -20 is overbought; below -80 is oversold. It's like an inverted Stochastic.

How do you calculate Williams %R?

Williams %R = (Highest High - Close) / (Highest High - Lowest Low) × -100. Standard period is 14. A reading of -50 means close is at the midpoint of the range.

How do you read Williams %R?

0 to -20 is overbought—price near the highs. -80 to -100 is oversold—price near the lows. Trade reversals when %R exits these zones. Watch for divergences.

What is the difference between Williams %R and Stochastic?

They're essentially the same formula but inverted. Williams %R ranges 0 to -100; Stochastic ranges 0 to 100. A Williams %R of -20 equals Stochastic of 80.

What settings should I use for Williams %R?

Default is 14 periods. Shorter (7-10) for day trading, longer (20-28) for swing trading. Higher volatility assets may need longer periods to filter noise.

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