Correlation Matrix
Visualize historical price relationships between holdings. Identify concentration risks and diversification opportunities.
⚠ Concentrated
Low concentration
✓ Good number
AAPL | NVDA | MSFT | TSLA | JPM | V | GOOGL | META | |
|---|---|---|---|---|---|---|---|---|
| AAPL | 1.00 | 0.72 | 0.68 | 0.61 | 0.45 | 0.52 | 0.65 | 0.69 |
| NVDA | 0.72 | 1.00 | 0.75 | 0.68 | 0.38 | 0.48 | 0.71 | 0.74 |
| MSFT | 0.68 | 0.75 | 1.00 | 0.64 | 0.42 | 0.50 | 0.69 | 0.70 |
| TSLA | 0.61 | 0.68 | 0.64 | 1.00 | 0.35 | 0.44 | 0.63 | 0.66 |
| JPM | 0.45 | 0.38 | 0.42 | 0.35 | 1.00 | 0.78 | 0.48 | 0.43 |
| V | 0.52 | 0.48 | 0.50 | 0.44 | 0.78 | 1.00 | 0.56 | 0.51 |
| GOOGL | 0.65 | 0.71 | 0.69 | 0.63 | 0.48 | 0.56 | 1.00 | 0.72 |
| META | 0.69 | 0.74 | 0.70 | 0.66 | 0.43 | 0.51 | 0.72 | 1.00 |
Diversification Insights
- ⚠ Consider adding uncorrelated or negatively correlated assets to reduce concentration risk.
- ⚠ Your holdings show high correlation patterns that increase portfolio volatility.
- ⚠ Multiple holdings are highly correlated (≥0.7). This reduces the benefit of diversification.
- • Aim for average pairwise correlation below 0.4 for meaningful diversification benefits.
