Technical analysis by ANROC about Symbol PAXG on 9/25/2025

ANROC
XAU/USD - 2 Day Traders Edge

📈Technical: MARKET BIAS: Bearish at this time (price below key POC levels, rejection from ATH zone) PIVOT ZONE: 3,720-3700 (POC cluster alignment + HVN magnet) 🥇 Traders Edge - Actionable & Tactical TRADE SETUPS: 🟧 Risk Warning: Core PCE surprise = 200+ point moves ↕️ Bias Flip: Clean break above 3,790 (new ATH territory) 🟢BULLISH Potential if PIVOT holds - • Bounce from Pivot area 3,740 | 3,750 • Clean break above 3790 to new ATH’s. 🔴BEARISH Potential - • Look for SHORT Entries: Below 3,750 falling towards Pivot Zone • Stop Loss: Above 3,770 • Take Profit: 3,720 | 3,700 ------------------------------------------ • Look for SHORT Entries: Below 3,700 - Extended Breakdown • Stop Loss: Above 3,720 • Take Profit: 3,680 | 3,640 🎯KEY LEVELS: • Strong Resistance: 3,760 | 3,790 | 3,800 • Strong Support: 3,680 | 3,640 | 3,600 | 3,580 🎯PRICE TARGETS: • Bullish Path: 3,760 → 3,790 (ATH test) → 3,830 (Extended breakout) • Bearish Path: 3,680 → 3,640 → 3,580 (Extended breakdown) 🚨HIGH-IMPACT EVENTS (48H): (NY Time Zone) • Sep 25 | 08:30 Initial Jobless Claims: 233K vs 231K 💪 Labor strength = USD bullish, Gold bearish • Sep 25 | 08:30 GDP Q2 Final: 3.3% vs -0.5% → Strong growth = risk-on, Gold negative • Sep 26 | 08:30 Core PCE MoM: 0.2% vs 0.3% → MASTER RISK EVENT • Sep 26 | 10:00 Michigan Consumer Sentiment: 55.4 → Risk appetite gauge 🛑 MASTER RISK EVENT 🟧Friday September 26 | 08:30 (NY Time Zone) 🟧 Core PCE Price Index (MoM) - Forecast: 0.2% vs Previous: 0.3% 🟧 Critical Impact: Fed's preferred inflation gauge determines rate path and USD strength • Gold: Collapse risk if hot print • Equities: Rate repricing volatility • Sectors: Tech rotation sensitivity ⚠️ RISK MANAGEMENT PROTOCOL • Reduce position sizes before Friday 08:30 EDT • USD strength reversals impact Gold heavily • Tech high beta to rate repricing • Month-end flows amplify volatility ________________________________________ Analysis based on Session Volume POC clusters and HVN methodology