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Analyzing forecast parameters

Decoding the Forecast Components

Each QuantWave forecast contains multiple data points that together create a complete trading scenario when properly interpreted.

Core Parameter Analysis

1. Directional Signals

  • BUY/LONG: Bullish expectation with defined entry zone
  • SELL/SHORT: Bearish expectation with resistance levels
  • HOLD/NEUTRAL: No clear edge or transition period

2. Confidence Metrics

Probability Range Interpretation Suggested Action
80-100% High conviction Full position size
65-79% Moderate confidence Normal position
50-64% Low confidence Reduced size or pass

3. Price Targets

  • Primary Target: Minimum expected move (80% probability)
  • Secondary Target: Extended move (50% probability)
  • Invalidation Level: Point that voids the thesis

Advanced Parameter Relationships

Risk/Reward Matrix

  • 1:1 = Minimum acceptable ratio
  • 1:2 = Standard QuantWave expectation
  • 1:3+ = High quality setups

Time/Probability Correlation

  • Short-term (1-5 days): Higher probability (70%+)
  • Medium-term (1-4 weeks): Moderate probability (60-70%)
  • Long-term (1-6 months): Wider probability range (50-65%)

QuantWave Analysis Tools

Tool Parameter Insight
Scenario Explorer Visualizes probability distributions
Parameter Backtester Tests historical accuracy of similar setups
Risk Calculator Auto-computes position sizes

Practical Analysis Framework

  1. Verify probability aligns with risk/reward
  2. Check time horizon matches your strategy
  3. Confirm sector/asset is in your universe
  4. Assess liquidity meets your requirements
  5. Review correlation with existing positions

Common Analysis Mistakes

  • Focusing only on direction ignoring probability
  • Overlooking time horizon mismatches
  • Not checking recent parameter accuracy
  • Ignoring changing volatility conditions

Parameter Tracking System

  • Record forecasted vs. actual outcomes
  • Track accuracy by parameter combinations
  • Adjust interpretation based on results

Mastering parameter analysis transforms raw forecasts into high-probability trading plans. By understanding how direction, probability, risk and time interact, you can selectively execute only the highest-quality QuantWave signals that match your strategic objectives.