Key High-Impact Events with Potential to Impact the Crypto Market This Week
Friday, January 10
1:30 PM EST - US Average Hourly Earnings m/m: High Impact
- Indicates wage growth, with higher earnings potentially pressuring crypto, while lower earnings may support positive market sentiment.
1:30 PM EST - US Non-Farm Employment Change: High Impact
- Strong job data strengthens the USD, which can negatively impact crypto. Weak data could shift focus to risk assets, potentially supporting crypto prices.
1:30 PM EST - US Unemployment Rate: High Impact
- Lower unemployment could weigh on crypto, while higher unemployment could lead to increased demand as a hedge.
3:00 PM EST - US Prelim UoM Consumer Sentiment: Moderate Impact
- Weak consumer sentiment could boost crypto as a risk-on asset.
Tuesday, January 14
1:30 PM EST - US Core PPI m/m: Moderate Impact
- Measures producer inflation, with higher data potentially pressuring crypto due to fears of interest rate hikes.
1:30 PM EST - US PPI m/m: Moderate Impact
- Similar to Core PPI, with higher numbers potentially weighing on crypto prices.
Wednesday, January 15
1:30 PM EST - US Core CPI m/m: High Impact
- Reflects core inflation, with higher CPI signaling potential rate hikes, which could be bearish for crypto. Lower CPI could spark bullish trends.
1:30 PM EST - US CPI m/m: High Impact
- Measures broader inflation, with higher data negatively impacting crypto, while weaker data supports bullish sentiment.
1:30 PM EST - US Empire State Manufacturing Index: Moderate Impact
- Weak manufacturing data could lead to increased risk-on behavior, potentially supporting crypto prices.
Thursday, January 16
1:30 PM EST - US Retail Sales m/m: High Impact
- Weak sales could boost crypto demand, while strong numbers could weigh on prices.
1:30 PM EST - US Philly Fed Manufacturing Index: Moderate Impact
- Weak regional manufacturing data supports crypto, while stronger numbers could pressure prices.
Focus Areas
- US CPI, Non-Farm Payroll, Retail Sales, and inflation data
- Prepare for volatility by implementing tight stop-loss levels and breakout strategies during these events.