Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
META Meta Platforms, Inc. | Communication Services | 25% |
AMZN Amazon.com, Inc | Consumer Cyclical | 25% |
GOOG Alphabet Inc | Communication Services | 25% |
NFLX Netflix, Inc. | Communication Services | 25% |
Benchmark: S&P 500 Index · Rebalance: Every 3 months
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in FANG Portfolio, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.
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Compare your portfolio against anything
Returns By Period
As of Aug 1, 2026, the FANG Portfolio returned -1.52% Year-To-Date and 24.71% of annualized return in the last 10 years.
| Position | 1D | 1M | 6M | YTD | 1Y | 3Y* | 5Y* | 10Y* | ALL TIME* |
|---|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.70% | 0.09% | 7.94% | 9.41% | 18.15% | 17.84% | 11.25% | 13.26% | 8.09% |
Portfolio FANG Portfolio | 5.86% | -0.31% | -3.71% | -1.52% | 3.83% | 29.25% | 15.82% | 24.71% | 25.98% |
| Portfolio components: | |||||||||
AMZN Amazon.com, Inc | 15.32% | 12.36% | 13.49% | 17.66% | 16.01% | 27.29% | 10.30% | 21.72% | 30.20% |
GOOG Alphabet Inc | 6.88% | -0.35% | 5.49% | 13.80% | 85.45% | 39.73% | 21.62% | 25.03% | 22.84% |
META Meta Platforms, Inc. | 3.28% | -9.17% | -22.16% | -15.51% | -27.79% | 20.28% | 9.53% | 16.39% | 20.02% |
NFLX Netflix, Inc. | -2.00% | -3.34% | -14.11% | -23.52% | -38.15% | 17.81% | 6.74% | 22.59% | 30.45% |
Monthly Returns
Based on dividend-adjusted daily data since Apr 3, 2014, FANG Portfolio's average daily return is +0.11%, while the average monthly return is +2.20%. At this rate, an investment would double in approximately 2.7 years.
Historically, 62% of months were positive and 38% were negative. The best month was Jan 2018 with a return of +20.7%, while the worst month was Apr 2022 at -25.1%. The longest winning streak lasted 8 consecutive months, and the longest losing streak was 4 months.
On a daily basis, FANG Portfolio closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +11.3%, while the worst single day was Apr 20, 2022 at -11.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 2.27% | -4.39% | -5.05% | 16.18% | -0.73% | -11.17% | 3.54% | -1.52% | |||||
| 2025 | 10.90% | -7.27% | -9.57% | 4.15% | 10.48% | 8.72% | 1.63% | 2.03% | 2.74% | 2.15% | 1.75% | -3.23% | 24.66% |
| 2024 | 7.20% | 11.42% | 2.36% | -3.85% | 7.63% | 6.98% | -5.39% | 2.98% | 4.27% | 2.27% | 7.25% | 4.77% | 58.01% |
| 2023 | 19.78% | -2.21% | 13.85% | 3.76% | 14.37% | 6.45% | 5.79% | -0.55% | -5.69% | 2.31% | 10.25% | 4.94% | 97.82% |
| 2022 | -13.11% | -9.70% | 2.87% | -25.14% | -1.45% | -10.99% | 15.23% | -2.79% | -7.75% | -4.65% | 6.85% | -6.75% | -47.97% |
| 2021 | -0.93% | 2.27% | 3.00% | 9.33% | -1.97% | 5.35% | 1.27% | 7.09% | -4.39% | 5.62% | -1.91% | -1.62% | 24.53% |
Benchmark Metrics
FANG Portfolio has an annualized alpha of 12.84%, beta of 1.18, and R2 of 0.53 versus S&P 500 Index. Calculated based on daily prices since April 03, 2014.
- This portfolio captured 164.30% of S&P 500 Index gains and 102.59% of its losses - amplifying both gains and losses, but participating more in upside than downside.
- This portfolio generated an annualized alpha of 12.84% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- Alpha
- 12.84%
- Beta
- 1.18
- R²
- 0.53
- Upside Capture
- 164.30%
- Downside Capture
- 102.59%
Expense Ratio
FANG Portfolio has an expense ratio of 0.00%, meaning no management fees are charged. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.
Return for Risk
Risk / Return Rank
FANG Portfolio ranks 7 for risk / return — above 7% of Portfolios peers on PortfoliosLab. Its historical combined result is below most peers; review the five component ranks for context.
Risk / Return Metrics
The table below presents risk-adjusted performance metrics for FANG Portfolio and compares them with S&P 500 Index.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 0.16 | 1.42 | -1.25 |
| Sortino ratioReturn per unit of downside risk | 0.41 | 1.98 | -1.57 |
| Omega ratioGain probability vs. loss probability | 1.05 | 1.25 | -0.21 |
| Calmar ratioReturn relative to maximum drawdown | 0.25 | 2.00 | -1.75 |
| Martin ratioReturn relative to average drawdown | 0.61 | 8.49 | -7.88 |
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
AMZN Amazon.com, Inc | 60 | 0.46 | 0.94 | 1.11 | 0.74 | 1.58 |
GOOG Alphabet Inc | 95 | 2.71 | 3.75 | 1.46 | 4.14 | 11.53 |
META Meta Platforms, Inc. | 11 | -0.73 | -0.91 | 0.89 | -0.84 | -1.52 |
NFLX Netflix, Inc. | 6 | -1.10 | -1.61 | 0.80 | -0.82 | -1.45 |
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Dividends
Dividend yield
FANG Portfolio provided a 0.15% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
| Portfolio | 0.15% | 0.15% | 0.16% |
| Portfolio components: | |||
AMZN Amazon.com, Inc | 0.00% | 0.00% | 0.00% |
GOOG Alphabet Inc | 0.24% | 0.26% | 0.32% |
META Meta Platforms, Inc. | 0.38% | 0.32% | 0.34% |
NFLX Netflix, Inc. | 0.00% | 0.00% | 0.00% |
Drawdowns
Drawdowns Chart
The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.
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Worst Drawdowns
The table below displays the maximum drawdowns of the FANG Portfolio. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.
The maximum drawdown for the FANG Portfolio was 55.92%, occurring on Nov 3, 2022. Recovery took 304 trading sessions.
The current FANG Portfolio drawdown is 9.48%.
Drawdown | Fall | Recovery | Underwater | Related event |
|---|---|---|---|---|
-55.92%Nov 2022 | 11mo 16d | 1y 2mo | 2y 2moNov 2021 - Jan 2024 | Bear market2022 |
-32.10%Dec 2018 | 5mo 1d | 4mo 3d | 9mo 4dJul 2018 - Apr 2019 | Rate-hike selloffLate 2018 |
-26.47%Mar 2020 | 25d | 1mo 15d | 2mo 10dFeb 2020 - Apr 2020 | COVID crash2020 |
-25.03%Apr 2025 | 1mo 28d | 2mo 23d | 4mo 21dFeb 2025 - Jun 2025 | 2025 selloff2025 |
-20.45%Feb 2016 | 2mo 3d | 5mo 25d | 7mo 28dDec 2015 - Aug 2016 | — |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
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Diversification
AI Analysis
The gist
The portfolio is a four-stock bet on large-cap internet platforms, with Amazon (AMZN) as the odd one out only in industry label, not in risk behavior. It is diversified in the arithmetic sense, but the correlations say the portfolio mostly owns one trade in four wrappers.
The numbers
- Diversification ratio is 1.48 at 1Y, then 1.35, 1.27, 1.24, and 1.25 over longer windows; that is modest diversification, with the recent window looking better than the long run.
- Effective asset count is 4.0 of 4, so concentration is not a weight problem; the issue is that the weights are spread across assets that still move together.
- Pairwise correlations run from 0.44 to 0.65, with Alphabet (GOOG) tied most closely to Amazon and Meta; the cluster output confirms a three-name core and a separate Netflix (NFLX) satellite.
The good
- Equal weighting avoids one name becoming the portfolio’s whole biography.
- The 1Y DR percentile of 67.5th suggests the names have not been perfectly locked together recently, which helps at the margin.
The bad
- Meta Platforms (META), Amazon (AMZN), and Alphabet (GOOG) sit in a tight cluster, so much of the portfolio shares the same advertising, consumer demand, and cloud-adjacent macro sensitivities.
- Position-to-portfolio correlations of 0.76-0.83 are high enough that each holding is, in practice, a proxy for the same factor mix.
The ugly
- If ad budgets, e-commerce demand, and AI spending all reprice together, the apparent four-way spread behaves more like a single correlated growth sleeve.
Next steps
- Portfolios with this correlation profile are typically paired with exposures whose earnings drivers sit outside digital advertising and platform traffic.
- The gap between 1Y and longer-window diversification suggests the correlation structure has recently loosened a bit, though the long-run picture remains fairly compact.
Diversification Metrics
Number of Effective Assets
The portfolio contains 4 assets, with an effective number of assets of 4.00, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | 10Y | All Time | |
|---|---|---|---|---|---|
Diversification Ratio | 1.48 | 1.35 | 1.27 | 1.24 | 1.25 |
The portfolio has a diversification ratio of 1.25, in line with the typical range across portfolios.
FANG Portfolio correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | 0.64 |
Correlation (3Y) Balances recent behavior with more history. | 0.70 |
Correlation (5Y) Shows whether the relationship held over a longer period. | 0.75 |
Correlation (10Y) Provides a long-term view across more market conditions. | 0.71 |
Correlation (All Time) Calculated using the full available price history since Apr 3, 2014 | 0.70 |
Benchmark Correlations
Correlation vs. S&P 500 Index. GOOG has the highest benchmark correlation at 0.68, while NFLX has the lowest at 0.48.
Asset Correlations Table
Find what FANG Portfolio is missing
See which holdings overlap, where FANG Portfolio is concentrated, and which low-correlation assets could fill the gaps.
Analyze Diversification