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QuantSchool: Navigating the forecast catalog

Understanding the Forecast Structure

The QuantWave forecast catalog organizes trading opportunities systematically across markets and timeframes for efficient scanning.

Catalog Organization

1. Primary Asset Classes

• Equities: Individual stocks and ETFs
• Indices: Major market benchmarks
• Commodities: Metals, energy, agriculture
• Forex: Major and minor currency pairs
• Crypto: Bitcoin and altcoins

2. Timeframe Segmentation

Timeframe	Horizon	Ideal For
Short-Term	1-5 days	Active traders
Medium-Term	1-4 weeks	Swing traders
Long-Term	1-6 months	Investors

Key Forecast Components

1. Signal Card Anatomy

• Direction: BUY/SELL/HOLD
• Confidence: Probability percentage
• Timeframe: Expected duration
• Risk Level: Low/Medium/High

2. Filtering Options

• By asset class
• By strategy type
• By confidence level
• By risk/reward ratio

Effective Navigation Strategies

1. The Top-Down Approach

1. Start with macroeconomic view
2. Filter to strongest sectors
3. Select individual assets

2. The Scanner Method

1. Set your preferred parameters
2. Sort by confidence/probability
3. Review technical alignment

3. The Watchlist Integration

• Save relevant forecasts
• Set price alerts
• Monitor updates

Best Practices

• Check forecast updates daily
• Cross-reference with your strategy
• Start with high-confidence signals
• Track performance metrics

Common Mistakes

• Chasing too many signals
• Ignoring timeframe mismatches
• Overlooking updates
• Failing to track results

Mastering the QuantWave forecast catalog transforms overwhelming data into actionable opportunities. By systematically filtering and prioritizing signals that match your trading style, you can focus on high-probability setups while maintaining proper diversification.