Williams %R Trading

Extended Strategies Intermediate Canada TSX60 XIU RY TD ENB CNR SU BCE BMO BNS SHOP CP MFC NTR SXF CGB

Identifies overbought/oversold extremes and momentum shifts using price position within recent range

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Quick Reference

Strategy Type Momentum Oscillator Trading Using Williams Percent Range for Overbought/Oversold and Trend Confirmation
Market Outlook Identifies overbought/oversold extremes and momentum shifts using price position within recent range
Risk Profile Medium (clear threshold levels; defined overbought/oversold zones)
Reward Profile 2:1 to 3:1 on momentum plays; 1.5:1 to 2:1 on mean reversion
Time Horizon Day trading to swing trading (hours to weeks)
Iv Environment Works in trending and ranging markets with different approaches
Breakeven Win rate 45-55% with proper R:R achieves profitability

Payoff Profile

Williams %R, developed by Larry Williams in 1973, measures the level of the close relative to the highest high over a lookback period. It oscillates between 0 and -100, with readings near 0 indicating overbought and readings near -100 indicating oversold conditions.

Canada Market Details

Primary Instruments TSX 60 constituents, XIU ETF, sector ETFs, SXF futures, CGB futures
Iiroc Compliance Fully compliant; standard equity and futures trading
Contract Size Equities: 100-share board lots; SXF: $200 × Index; CGB: $100,000 face value
Trading Hours Equities: 9:30 AM - 4:00 PM ET; Futures: nearly 24 hours
Expiry Options N/A for equities; Quarterly for futures
Settlement T+1 for equities; varies for futures
Options Exchange Montreal Exchange (MX)
Capital Gains Tax 50% inclusion rate for trading gains
Tfsa Eligibility Equities and ETFs eligible; futures NOT eligible
Rrsp Eligibility Equities permitted; futures NOT permitted

Frequently Asked Questions

Why is Williams %R scale inverted (negative)?

The formula calculates distance from the highest high, which is why values are negative. 0 means close equals highest high (overbought), -100 means close equals lowest low (oversold). It's just a different presentation than Stochastic, but conveys the same information.

What period should I use for Williams %R?

14 is standard and Larry Williams' original. Use 10 for day trading (more responsive), 20-28 for position trading (smoother). Start with 14 and adjust based on your trading style and the specific market.

What's the difference between Williams %R and Stochastic?

They're essentially the same indicator with inverted scales. Williams %R ranges 0 to -100; Stochastic %K ranges 0 to 100. %R = %K - 100. Where %K shows 80 (overbought), %R shows -20. Same information, different presentation.

Should I buy when %R is oversold (below -80)?

In ranging markets, yes - oversold often precedes a bounce. In trending markets, %R can stay oversold as price continues falling. Check the market regime (ADX) first. Only fade extremes reliably in ranges.

What does %R at -50 mean?

Williams %R at -50 means the close is exactly midway between the highest high and lowest low of the lookback period. It's a neutral reading - neither overbought nor oversold. Some traders use -50 crosses as momentum signals.

How do I identify Williams %R divergence?

Compare price swings to %R swings. Bullish divergence: price makes lower low but %R makes higher low. Bearish divergence: price makes higher high but %R makes lower high. Look at swing points, not every bar. Divergence warns but isn't a signal alone - wait for confirmation.

What is a failure swing in Williams %R?

A failure swing occurs when %R reaches an extreme (say -90), bounces to -70, drops again but only reaches -85 (fails to make new extreme), then rises above -70. The failure to make a new extreme shows exhaustion. Entry is on break of intermediate level (-70). Very high probability signal.

When should I use momentum vs mean reversion with %R?

Check ADX. ADX > 25 = trending; use momentum approach (ride %R signals in trend direction). ADX < 20 = ranging; use mean reversion (fade %R extremes back to -50). In between, be cautious or use smaller size.

How do I combine %R with moving averages?

Use MA for trend direction, %R for timing. Above 50 EMA = only take %R long signals (oversold bounces). Below 50 EMA = only take %R short signals (overbought fades). This filters counter-trend trades.

Can %R stay overbought/oversold for long periods?

Yes, in strong trends. In a strong uptrend, %R can hover between 0 and -20 for weeks. In a strong downtrend, it can stay between -80 and -100. This is why checking the market regime before fading extremes is essential.

What is a %R hook and how do I trade it?

A %R hook is a sharp turn within an extreme zone. Example: %R drops to -92, then sharply turns up while still below -80, showing an 'upturn hook.' This is an early momentum shift signal. Enter on the hook with stop below the extreme. It provides earlier entry than waiting for threshold cross.

How do I draw trendlines on Williams %R?

Draw trendlines connecting %R swing highs or lows, just like on price. A break of %R's down trendline often precedes a price breakout upward. A break of %R's up trendline often precedes a price breakdown. These give early warning before price confirms.

How should I size positions based on %R signal type?

Tiered sizing based on signal quality: 1% risk on standard threshold crosses, 1.5% on divergence confirmations, 2% on failure swing patterns. Higher probability signals warrant larger positions. Always stay within total portfolio risk limits.

What does '%R stuck in extreme' pattern mean?

When %R oscillates within an extreme zone for extended periods (e.g., bouncing between 0 and -20 for 2+ weeks), it indicates a very powerful trend. Don't fade it. Trade with the trend until %R breaks out of this pattern and shows a meaningful reversal.

How do I build a systematic %R trading strategy?

Define: 1) Regime filter (ADX for mean reversion vs momentum mode), 2) Entry rules (threshold crosses, divergence, failure swings), 3) Exit rules (opposite threshold, -50, or divergence), 4) Stops (swing-based or ATR-based), 5) Position sizing by signal type. Backtest with walk-forward validation across multiple market conditions.

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