Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
ADBE Adobe Inc | Technology | 8% |
AMD Advanced Micro Devices, Inc. | Technology | 10% |
CDNS Cadence Design Systems, Inc. | Technology | 8% |
CFLT Confluent, Inc. | Technology | 4% |
CRM salesforce.com, inc. | Technology | 8% |
CRWD CrowdStrike Holdings, Inc. | Technology | 5% |
DDOG Datadog, Inc. | Technology | 4% |
GOOG Alphabet Inc | Communication Services | 6% |
GTLB GitLab Inc. | Technology | 3% |
MDB MongoDB, Inc. | Technology | 4% |
MSFT Microsoft Corporation | Technology | 6% |
NOW ServiceNow, Inc | Technology | 8% |
PLTR Palantir Technologies Inc. | Technology | 4% |
SNPS Synopsys, Inc. | Technology | 8% |
TSLA Tesla, Inc. | Consumer Cyclical | 10% |
WDAY Workday, Inc. | Technology | 4% |
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in 做多AI量化多策略, 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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The earliest data available for this chart is Oct 14, 2021, corresponding to the inception date of GTLB
Returns By Period
| 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* | |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.11% | -2.33% | -3.84% | -1.98% | 29.73% | 16.86% | 10.37% | 12.29% |
Portfolio 做多AI量化多策略 | 0.16% | -6.17% | -19.31% | -14.98% | 24.05% | 19.81% | — | — |
| Portfolio components: | ||||||||
AMD Advanced Micro Devices, Inc. | 3.47% | 9.05% | 1.56% | 32.08% | 153.61% | 31.09% | 21.81% | 54.37% |
NOW ServiceNow, Inc | -1.96% | -15.27% | -33.42% | -44.10% | -29.33% | 3.16% | 0.12% | 23.01% |
GOOG Alphabet Inc | -0.15% | -2.07% | -6.10% | 19.64% | 100.00% | 41.44% | 22.67% | 23.06% |
MSFT Microsoft Corporation | 1.11% | -9.06% | -22.60% | -27.51% | 4.58% | 10.00% | 9.94% | 22.58% |
PLTR Palantir Technologies Inc. | 1.34% | -2.76% | -16.48% | -14.22% | 100.59% | 160.69% | 45.12% | — |
MDB MongoDB, Inc. | 1.51% | -4.10% | -39.69% | -21.20% | 63.95% | 3.72% | -2.71% | — |
CFLT Confluent, Inc. | 0.00% | 0.65% | 2.48% | 52.66% | 53.64% | 12.30% | — | — |
DDOG Datadog, Inc. | 1.42% | -1.63% | -11.49% | -20.72% | 36.88% | 19.42% | 6.66% | — |
CDNS Cadence Design Systems, Inc. | -0.52% | -7.04% | -10.83% | -19.74% | 19.68% | 9.65% | 14.52% | 28.03% |
SNPS Synopsys, Inc. | -0.20% | -10.48% | -15.71% | -15.61% | 2.01% | 0.60% | 9.27% | 23.26% |
Monthly Returns
Based on dividend-adjusted daily data since Oct 15, 2021, 做多AI量化多策略's average daily return is +0.05%, while the average monthly return is +0.85%. At this rate, your investment would double in approximately 6.8 years.
Historically, 56% of months were positive and 44% were negative. The best month was May 2023 with a return of +23.2%, while the worst month was Apr 2022 at -16.1%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.
On a daily basis, 做多AI量化多策略 closed higher 53% of trading days. The best single day was Apr 9, 2025 with a return of +14.3%, while the worst single day was May 9, 2022 at -7.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -7.37% | -9.79% | -4.44% | 1.04% | -19.31% | ||||||||
| 2025 | 3.38% | -10.28% | -10.21% | 7.20% | 7.88% | 5.30% | 4.14% | 0.73% | 3.39% | 9.70% | -7.77% | 3.77% | 15.51% |
| 2024 | 2.52% | 8.84% | -4.76% | -6.03% | -2.84% | 10.75% | -3.84% | 1.03% | 4.21% | 0.95% | 14.76% | -1.53% | 24.13% |
| 2023 | 14.99% | 1.95% | 10.33% | -5.24% | 23.23% | 6.63% | 5.36% | -2.99% | -4.25% | -2.06% | 18.37% | 3.82% | 89.72% |
| 2022 | -13.55% | -4.11% | 3.99% | -16.10% | -5.67% | -4.35% | 14.72% | -5.96% | -13.27% | 0.20% | 1.65% | -9.00% | -43.40% |
| 2021 | 9.66% | 1.07% | -3.59% | 6.86% |
Benchmark Metrics
做多AI量化多策略 has an annualized alpha of -4.78%, beta of 1.63, and R² of 0.71 versus S&P 500 Index. Calculated based on daily prices since October 15, 2021.
- This portfolio participated in 125.24% of S&P 500 Index downside but only 118.04% of its upside — more exposed to losses than it benefited from rallies.
- This portfolio had an annualized alpha of -4.78% versus S&P 500 Index — delivering less than market exposure alone would predict.
- Beta of 1.63 means this portfolio moves significantly more than S&P 500 Index — expect amplified gains in rallies and amplified losses in downturns.
- Alpha
- -4.78%
- Beta
- 1.63
- R²
- 0.71
- Upside Capture
- 118.04%
- Downside Capture
- 125.24%
Expense Ratio
做多AI量化多策略 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
做多AI量化多策略 ranks 8 for risk / return — in the bottom 8% of portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.
Return / Risk — by metrics
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 0.28 | 0.88 | -0.60 |
Sortino ratioReturn per unit of downside risk | 0.63 | 1.37 | -0.73 |
Omega ratioGain probability vs. loss probability | 1.08 | 1.21 | -0.13 |
Calmar ratioReturn relative to maximum drawdown | 0.39 | 1.39 | -1.00 |
Martin ratioReturn relative to average drawdown | 1.11 | 6.43 | -5.33 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio | |
|---|---|---|---|---|---|---|
AMD Advanced Micro Devices, Inc. | 85 | 1.73 | 2.48 | 1.32 | 4.02 | 8.17 |
NOW ServiceNow, Inc | 9 | -0.90 | -1.28 | 0.84 | -0.71 | -1.49 |
GOOG Alphabet Inc | 94 | 2.87 | 3.82 | 1.47 | 4.14 | 15.67 |
MSFT Microsoft Corporation | 34 | -0.06 | 0.11 | 1.01 | -0.05 | -0.12 |
PLTR Palantir Technologies Inc. | 74 | 1.22 | 1.79 | 1.24 | 1.99 | 4.80 |
MDB MongoDB, Inc. | 62 | 0.57 | 1.42 | 1.19 | 0.93 | 2.80 |
CFLT Confluent, Inc. | 51 | 0.22 | 0.76 | 1.15 | 0.42 | 0.97 |
DDOG Datadog, Inc. | 51 | 0.33 | 0.94 | 1.12 | 0.39 | 0.86 |
CDNS Cadence Design Systems, Inc. | 43 | 0.13 | 0.49 | 1.06 | 0.27 | 0.60 |
SNPS Synopsys, Inc. | 33 | -0.17 | 0.18 | 1.03 | -0.22 | -0.39 |
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Dividends
Dividend yield
做多AI量化多策略 provided a 0.14% dividend yield over the last twelve months.
| TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 0.14% | 0.11% | 0.10% | 0.04% | 0.06% | 0.04% | 0.06% | 0.07% | 0.10% | 0.11% | 0.14% | 0.14% |
| Portfolio components: | ||||||||||||
AMD Advanced Micro Devices, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
NOW ServiceNow, Inc | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
GOOG Alphabet Inc | 0.29% | 0.26% | 0.32% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
MSFT Microsoft Corporation | 0.93% | 0.70% | 0.73% | 0.74% | 1.06% | 0.68% | 0.94% | 1.20% | 1.69% | 1.86% | 2.37% | 2.33% |
PLTR Palantir Technologies Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
MDB MongoDB, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
CFLT Confluent, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
DDOG Datadog, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
CDNS Cadence Design Systems, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
SNPS Synopsys, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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 做多AI量化多策略. 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 做多AI量化多策略 was 51.30%, occurring on Jan 5, 2023. Recovery took 260 trading sessions.
The current 做多AI量化多策略 drawdown is 23.27%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -51.3% | Nov 9, 2021 | 291 | Jan 5, 2023 | 260 | Jan 19, 2024 | 551 |
| -31.82% | Dec 9, 2024 | 82 | Apr 8, 2025 | 75 | Jul 28, 2025 | 157 |
| -26.41% | Nov 4, 2025 | 99 | Mar 27, 2026 | — | — | — |
| -18.2% | Jul 8, 2024 | 21 | Aug 5, 2024 | 66 | Nov 6, 2024 | 87 |
| -15.25% | Mar 4, 2024 | 34 | Apr 19, 2024 | 52 | Jul 5, 2024 | 86 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
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Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 16 assets, with an effective number of assets of 14.16, reflecting the diversification based on asset allocation. This number of effective assets suggests that the portfolio's investments are spread across a variety of assets, indicating a well-diversified allocation. However, true diversification also depends on the correlations between assets.
Asset Correlations Table
| Benchmark | TSLA | AMD | GOOG | PLTR | GTLB | WDAY | CFLT | ADBE | CRM | CRWD | MSFT | DDOG | MDB | CDNS | SNPS | NOW | Portfolio | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Benchmark | 1.00 | 0.59 | 0.65 | 0.69 | 0.62 | 0.51 | 0.56 | 0.55 | 0.64 | 0.62 | 0.58 | 0.75 | 0.56 | 0.57 | 0.71 | 0.71 | 0.63 | 0.82 |
| TSLA | 0.59 | 1.00 | 0.46 | 0.46 | 0.51 | 0.38 | 0.35 | 0.42 | 0.39 | 0.40 | 0.42 | 0.44 | 0.42 | 0.42 | 0.44 | 0.43 | 0.40 | 0.66 |
| AMD | 0.65 | 0.46 | 1.00 | 0.53 | 0.51 | 0.41 | 0.36 | 0.45 | 0.46 | 0.43 | 0.44 | 0.55 | 0.46 | 0.47 | 0.55 | 0.58 | 0.45 | 0.71 |
| GOOG | 0.69 | 0.46 | 0.53 | 1.00 | 0.45 | 0.38 | 0.42 | 0.42 | 0.53 | 0.46 | 0.45 | 0.63 | 0.46 | 0.46 | 0.52 | 0.52 | 0.49 | 0.64 |
| PLTR | 0.62 | 0.51 | 0.51 | 0.45 | 1.00 | 0.52 | 0.46 | 0.55 | 0.46 | 0.49 | 0.59 | 0.50 | 0.56 | 0.57 | 0.53 | 0.53 | 0.54 | 0.72 |
| GTLB | 0.51 | 0.38 | 0.41 | 0.38 | 0.52 | 1.00 | 0.53 | 0.63 | 0.50 | 0.56 | 0.58 | 0.48 | 0.63 | 0.67 | 0.49 | 0.52 | 0.60 | 0.70 |
| WDAY | 0.56 | 0.35 | 0.36 | 0.42 | 0.46 | 0.53 | 1.00 | 0.52 | 0.62 | 0.67 | 0.56 | 0.56 | 0.57 | 0.58 | 0.54 | 0.54 | 0.68 | 0.68 |
| CFLT | 0.55 | 0.42 | 0.45 | 0.42 | 0.55 | 0.63 | 0.52 | 1.00 | 0.49 | 0.54 | 0.57 | 0.48 | 0.67 | 0.67 | 0.50 | 0.51 | 0.59 | 0.72 |
| ADBE | 0.64 | 0.39 | 0.46 | 0.53 | 0.46 | 0.50 | 0.62 | 0.49 | 1.00 | 0.66 | 0.50 | 0.61 | 0.50 | 0.52 | 0.60 | 0.60 | 0.68 | 0.72 |
| CRM | 0.62 | 0.40 | 0.43 | 0.46 | 0.49 | 0.56 | 0.67 | 0.54 | 0.66 | 1.00 | 0.57 | 0.56 | 0.59 | 0.57 | 0.56 | 0.57 | 0.73 | 0.74 |
| CRWD | 0.58 | 0.42 | 0.44 | 0.45 | 0.59 | 0.58 | 0.56 | 0.57 | 0.50 | 0.57 | 1.00 | 0.56 | 0.67 | 0.66 | 0.60 | 0.60 | 0.65 | 0.75 |
| MSFT | 0.75 | 0.44 | 0.55 | 0.63 | 0.50 | 0.48 | 0.56 | 0.48 | 0.61 | 0.56 | 0.56 | 1.00 | 0.57 | 0.56 | 0.65 | 0.64 | 0.63 | 0.74 |
| DDOG | 0.56 | 0.42 | 0.46 | 0.46 | 0.56 | 0.63 | 0.57 | 0.67 | 0.50 | 0.59 | 0.67 | 0.57 | 1.00 | 0.77 | 0.57 | 0.56 | 0.66 | 0.76 |
| MDB | 0.57 | 0.42 | 0.47 | 0.46 | 0.57 | 0.67 | 0.58 | 0.67 | 0.52 | 0.57 | 0.66 | 0.56 | 0.77 | 1.00 | 0.57 | 0.59 | 0.66 | 0.78 |
| CDNS | 0.71 | 0.44 | 0.55 | 0.52 | 0.53 | 0.49 | 0.54 | 0.50 | 0.60 | 0.56 | 0.60 | 0.65 | 0.57 | 0.57 | 1.00 | 0.86 | 0.64 | 0.79 |
| SNPS | 0.71 | 0.43 | 0.58 | 0.52 | 0.53 | 0.52 | 0.54 | 0.51 | 0.60 | 0.57 | 0.60 | 0.64 | 0.56 | 0.59 | 0.86 | 1.00 | 0.62 | 0.79 |
| NOW | 0.63 | 0.40 | 0.45 | 0.49 | 0.54 | 0.60 | 0.68 | 0.59 | 0.68 | 0.73 | 0.65 | 0.63 | 0.66 | 0.66 | 0.64 | 0.62 | 1.00 | 0.80 |
| Portfolio | 0.82 | 0.66 | 0.71 | 0.64 | 0.72 | 0.70 | 0.68 | 0.72 | 0.72 | 0.74 | 0.75 | 0.74 | 0.76 | 0.78 | 0.79 | 0.79 | 0.80 | 1.00 |