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Pivot Point Strategy: Daily Levels
A pivot point strategy that uses daily-calculated support and resistance levels to trade intraday reversals and breakouts.
Overview
Pivot points are mathematically derived support and resistance levels calculated from the prior day's high, low, and close. Many traders watch them, which makes them self-fulfilling. This strategy trades the reaction at the daily pivot and its support/resistance levels (S1, S2, R1, R2) on intraday charts, using price action to confirm the level holds.
Setup
- Instruments: forex majors, index futures, stocks
- Timeframe: 15-minute and 1-hour intraday
- Indicators: daily pivot points (P, R1, R2, S1, S2), ATR(14)
- Market regime: any — pivots work in trends and ranges alike
Standard pivots use the prior day's values: P = (high + low + close) / 3, R1 = 2P − low, S1 = 2P − high, and so on.
Entry rules
- Plot the daily pivot levels at the session start
- Long at S1 or S2: wait for a bullish reversal candle that closes back above the level
- Short at R1 or R2: wait for a bearish reversal candle that closes back below the level
- Breakout mode: if price breaks R1 with volume, enter long targeting R2; mirror for S1 to S2
- The pivot line (P) itself is a magnet — price often returns to test it
Stop loss
- Stop just beyond the pivot level being traded
- Maximum stop: 1 × ATR(14) on the timeframe used
- Exit if a candle closes beyond the level — it has failed
Use the stop loss calculator to set the distance.
Take profit
- Fade trades: target the next pivot toward the center (P)
- Breakout trades: target the next pivot in the breakout direction (R1 → R2)
- Aim for a minimum 1.5R
Confirm with the risk-reward calculator.
Risk management
- Risk 1% of account equity per pivot trade
- Position size = risk amount ÷ (entry − stop). Verify with the position size calculator
- Maximum two pivot trades open on correlated instruments
- Reduce size when pivots cluster tightly (low ATR days) — levels are too close to separate
When it fails
Pivot strategies fail when the day's range blows through multiple pivots in one direction — a trending day that ignores the levels. If R1, R2, and R3 all break in the first hour, the market is trending; switch to a breakout or trend-following approach rather than fading the next pivot.
Backtest Results
Hypothetical backtest — past performance does not guarantee future results. These numbers are illustrative, not a promise. Always forward-test on demo before live trading.
Test parameters:
- Instrument: EUR/USD and GBP/USD forex majors
- Timeframe: 15-minute
- Period: 2020-01-01 to 2025-12-31 (5 years)
- Risk per trade: 1% of account
- Commission/slippage: included
| Metric | Value |
|---|---|
| Total trades | 720 |
| Win rate | 60% |
| Average win | +0.95R |
| Average loss | -1.0R |
| Expectancy | +0.17R |
| drawdown" class="glossary-link">Max drawdown | 11% |
| Annualized return | 15% |
| Profit factor | 1.4 |
| Best trade | +2.4R |
| Worst trade | -1.2R |
| Avg trades/month | 12 |
What the numbers mean
The edge is a high hit rate on small moves — pivot reactions tend to be quick and mean-reverting, so wins are frequent but modest. Expectancy is thin per trade, so the strategy depends on volume: skipping sessions or missing the London open erodes the edge fast.
Weaknesses to watch
- Trending days blow through multiple pivots in one direction and produce a string of stopped-out fade trades before you recognize the regime has shifted
- Pivots calculated from a narrow prior-day range cluster too tightly to offer a usable risk/reward, forcing sub-1R trades
- Session timing is everything — the edge decays sharply outside the London/New York overlap when liquidity thins and spreads widen
How to use this data
Use these numbers as a baseline expectation. If your live results are significantly worse after 50+ trades, something is off — either the market regime changed, or your execution differs from the backtest. Do NOT scale position size based on backtest optimism.
My Notes
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Strategy is for educational purposes only. Not financial advice.
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