Uses mathematical price levels for entries and exits
| Strategy Type | Support/Resistance Level Trading System |
| Market Outlook | Uses mathematical price levels for entries and exits |
| Risk Profile | Low to Moderate - clear level-based stops |
| Reward Profile | Consistent profits from level reactions |
| Time Horizon | Intraday to Swing (hours to days) |
| Best Markets | Gold futures, spot gold, gold CFDs |
| Signal Type | Price reaction at calculated pivot levels |
| Market Hours | Pivot points calculated from prior period close - works 24/7 |
| Pivot Calculation Timing | Calculate from COMEX close (7:00 AM AEST) • Calculate from Friday COMEX close • Calculate from last trading day of month close • COMEX closes 6:00 PM EST = 7:00 AM AEST (winter) |
| Australian Trading Advantages | Available at 7:00 AM AEST for morning prep • 5:00 PM AEST - pivots tested with London volume • 11:30 PM AEST - highest volume pivot tests • Calculate during Australian morning |
| Gold Contracts | COMEX Gold Futures - 100 oz, most liquid • Micro Gold Futures - 10 oz, ideal for retail • Spot Gold CFD - flexible sizing • Broker CFD - check terms and spreads |
| Pivot Types | Classic floor trader pivots • Fibonacci-based support/resistance • Tight intraday levels • Emphasizes current period open • Tom DeMark's methodology |
| Common Parameters | P, R1, R2, R3, S1, S2, S3 • $2-3 around pivot level • Reversal candle at level • Beyond next pivot level |
| Australian Schedule | 7:00-8:00 AM - Calculate pivots, mark charts • Monitor for early tests • 5:00-9:00 PM - Active pivot trading • 11:30 PM+ - High volume pivot tests |
You need the previous period's High, Low, and Close prices. For daily pivots, use yesterday's data. For weekly, use last week's data. Most platforms calculate pivots automatically.
Start with Standard (Floor) pivots. They're the most widely used, have medium spacing, and work well in all market conditions. Once comfortable, explore other types like Fibonacci or Camarilla.
Yes, pivots work on any timeframe. Daily pivots for intraday trading, weekly pivots for swing trading, monthly pivots for position trading. You can also calculate pivots from any chart period.
If price gaps through a pivot, that level may still act as support/resistance when price returns. However, a gap through reduces the level's significance. Wait for price to test the level before trading.
Quality over quantity. Typically 1-3 high-quality pivot trades per day is sufficient. Only trade when you have confirmation (reversal candle, indicator agreement). Don't force trades.
Watch the first hour: if price stays one side of P and moves toward R1/S1, it's likely a trend day. If price crosses P multiple times and stays between S1-R1, it's a range day. Adapt your strategy accordingly.
Counter-trend pivot trades require more confirmation and should be smaller size. At R3/S3 (extreme levels), counter-trend trades can work. At R1/S1, trade with the trend is preferred.
Plot all three on your chart. When levels from multiple timeframes align (confluence), these zones are significantly stronger. Prioritize trades at confluence zones and consider larger position sizes.
Standard pivots have wider spacing, suitable for swing trades. Camarilla pivots are tightly spaced around the close, designed for intraday scalping. Use Camarilla for quick trades, Standard for larger moves.
If price breaks through a pivot after an attempted bounce, the level has failed. Consider: 1) Taking the loss at your stop, 2) The failed bounce may set up a breakout trade in the opposite direction.
Watch volume, delta, and footprint charts at pivot levels. Strong absorption (buying at support, selling at resistance) confirms the level. Lack of supportive order flow or contrary pressure suggests the level may fail.
Key parameters: pivot type, confluence zone width, RSI thresholds, and timeframe weighting. Use walk-forward testing to validate. Prefer robust parameters (round numbers) over precisely fitted values.
Institutions focus on weekly and monthly pivots due to larger capital. They use pivots as reference levels for order placement, often clustering orders at these levels. This creates the self-fulfilling nature of pivots.
Key components: pivot calculation engine (all types), level proximity detection, confirmation signal generation (candles, RSI), position sizing based on level-to-level distance, and exit management. Backtest extensively before live trading.
High volatility: use wider confluence zones, expect moves to R2/S2/R3/S3, reduce position size. Low volatility: use tighter zones, expect range between S1-R1, can increase position size. Monitor ATR for regime identification.
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