ETF Comparison: QTUM vs ENTR

比较选择

QTUM
ENTR

ETF 说明

QTUM - Defiance Quantum ETF

The Defiance Quantum ETF is an equity fund that tracks the BlueStar Machine Learning and Quantum Computing Index, providing investors with exposure to a diversified portfolio of global information technology companies focused on machine learning and quantum computing. The fund's tiered weighting scheme aims to provide a balanced investment approach.

ENTR - ERShares Entrepreneurs ETF

The ERShares Entrepreneurs ETF (ENTR) is an actively managed fund that invests in large-cap US companies that demonstrate entrepreneurial characteristics, as measured by the proprietary Entrepreneur Factor (EF). The EF incorporates a bottom-up investment approach powered by artificial intelligence, considering factors such as momentum, sector, growth, value, leverage, market cap, and geographic orientation. The fund aims to deliver strong performance across various investment strategies while maintaining a consistent risk profile. The portfolio typically concentrates on sectors such as Information Technology, Healthcare, Communication Services, and Consumer Discretionary, and includes companies led by exceptional entrepreneurs who drive disruptive innovation and wealth creation.

比较表

QTUMENTR
基金名称Defiance Quantum ETFERShares Entrepreneurs ETF
Fund ProviderDefiance ETFsCapital Impact Advisors
IndexBlueStar Machine Learning and Quantum Computing IndexEntrepreneur 30 Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.40%0.75%
Inception Date2018-09-042017-11-07
Number Of Holdings7229
RegionGlobalUnited States
Investment StyleBlendGrowth
Market CapBlendLarge-Cap
SectorTechnologyTechnology
Sector DetailArtificial IntelligenceArtificial Intelligence
LeveragedNon-leveragedNon-leveraged

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摘要

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关键指标

绩效指标

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风险指标

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详细报酬

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绩效分析

绩效分析透过累积报酬、年底(EoY)报酬及 Sharpe 比率、Sortino 比率等风险调整指标,评估历史资料以衡量投资策略报酬。这有助于投资人在不同市场條件下评估绝对和相对绩效。

累积报酬

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年底报酬表

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年底报酬

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风险分析

风险分析是指对可能导致资本损失的潜在负面事件进行评估。进行风险分析有助于决定是否应进行投资。这是透过回撤、波动率和 Beta 等风险指标来完成的,这些指标反映了利益相关者对投资策略一致性的信心。

回撤

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回撤表

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Monte Carlo 模拟

Monte Carlo 模拟是一种统计方法,透过从历史资产价格资料中随机抽样产生大量潜在结果,用以预测投资组合报酬。它协助投资人评估各种市场條件下投资组合的潜在风险和报酬。模拟考虑初始投资,并可选择性地模拟现金流情境,如固定投入、固定提款或比例提款。

重要提示:透过 Monte Carlo 模拟产生的预测纯屬假设性質,不保证未来报酬。投资决策应考量多种因素,过去表现不代表未来结果。

Monte Carlo 指标

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模拟投资组合价格

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QTUM vs ENTR - ETF Comparison · PortfolioMetrics