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Holdings News
2 Jan 2026
AI Forecast Methodology
Holdings-Weighted Linear Regression Model
+9.0%
6-Month Forecast
High Confidence (R² = 0.85)
Data Components
Calculation Method
1
Historical Price Collection
Fetched 180 days of price data for top holdings and country ETF proxies via FMP API.
2
Weighted Composite Returns
Daily returns calculated and weighted by fund allocation percentages to create a synthetic portfolio.
3
Linear Regression Analysis
Ordinary Least Squares (OLS) regression fitted to cumulative returns: ŷ = βx + α
4
Forward Projection
Extended regression line 126 trading days (~6 months) to estimate future performance.
Model Statistics
R² (Coefficient of Determination)
0.85
Daily Rate of Change (β)
+0.071%
Data Points Analyzed
180
Components Weighted
6
This forecast is for informational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Model assumes linear continuation of historical trends.