QSX China-Global Macro Allocation IndexQSX 中国-全球宏观动态配置指数 (V1.0)
A hypothetical algorithmic index study balancing equity momentum and safe-haven rotation across four highly liquid instruments: CSI 300, Nasdaq-100 ETF, Gold ETF, and China Treasury ETF. The model studies delayed macro-liquidity data, rate-cycle policy shifts, and cross-asset volatility spikes.这是一个四资产动态轮动研究指数：用沪深300捕捉中国核心资产，用纳指 ETF 补充全球科技动能， 用黄金 ETF 应对系统性风险，用中国国债 ETF 承接极端防御阶段。前台展示均为 24 小时以上延迟的历史模拟研究。
Notice: The QSX Portfolios displayed below represent purely hypothetical, simulated algorithmic index research. No real capital is deployed. All metrics are backward-looking and for academic/software audit purposes only.
注意：下方展示的 QSX 组合仅代表假设性的模拟算法指数研究。没有部署任何实际资金。所有指标均为后视性， 仅用于学术研究、软件审计与模型治理展示，不构成投资建议、个性化账户管理或买卖推荐。
China-Global Macro Allocation Comparison中国-全球宏观配置对照
2013-08-01 to 2026-04-28 · 12.3 years · QSX simulated index vs CSI 300, Nasdaq-100 ETF, Gold ETF, and China Treasury ETF buy-and-hold baselines.2013-08-01 to 2026-04-28 · 12.3 years · QSX simulated index vs CSI 300, Nasdaq-100 ETF, Gold ETF, and China Treasury ETF buy-and-hold baselines.
| Metric指标 | QSX China-Global Index | CSI 300 ETF B&H | Nasdaq-100 ETF B&H | Gold ETF B&H | China Treasury ETF B&H |
|---|---|---|---|---|---|
| Sharpe Ratio夏普比率 | 1.57 | 0.50 | 0.97 | 0.79 | 1.27 |
| Sortino Ratio索提诺比率 | 1.47 | 0.49 | 0.90 | 0.76 | 1.22 |
| Calmar卡玛比率 | 1.58 | 0.19 | 0.71 | 0.45 | 0.63 |
| Max Drawdown最大回撤 | -7.00% | -52.97% | -28.49% | -24.89% | -5.03% |
The baselines intentionally separate domestic core equity, offshore technology momentum, gold defense, and China Treasury defense, so the allocation study can be compared against each single-asset risk profile.对照基准分别代表中国核心权益、海外科技动能、黄金防御和国债防御，方便直接观察模型相对单资产的风险变化。
Four-Asset Rotation Logic四资产动态轮动逻辑
The public whitepaper explains what each sleeve is meant to do in the allocation study. It does not disclose exact weights, trigger thresholds, or implementation formulas.The public whitepaper explains what each sleeve is meant to do in the allocation study. It does not disclose exact weights, trigger thresholds, or implementation formulas.
When historical liquidity conditions point to easier credit, growth support, or dense policy releases, the simulated model studies whether CSI 300 exposure can participate in China core-asset repricing.
当降准降息、稳增长政策或流动性释放进入历史样本区间时，模型研究沪深300如何承接中国核心资产的估值修复行情。
Because China and U.S. cycles often move out of sync, the Nasdaq sleeve studies how offshore technology momentum, semiconductor cycles, AI capex, and U.S. liquidity can diversify a China-heavy allocation.
中美经济周期经常错位，纳指 ETF 用于研究全球科技、半导体/AI 景气和美元流动性对中国资产包的补充作用。
Gold is treated as a defensive sleeve for currency pressure, geopolitical stress, inflation risk, and broad credit-market discomfort.
黄金 ETF 用于研究汇率压力、地缘政治、通胀失控或信用资产承压时，进攻资产向防御资产迁移的效果。
China Treasury exposure is modeled as the low-volatility shelter when domestic equity drawdowns deepen or risk appetite collapses. It studies how bond duration and carry can stabilize the simulated NAV curve.
中国国债 ETF 用于研究 A 股单边下跌、风险偏好收缩或恐慌放大时，低波动票息与资本利得如何稳定组合净值。
Hypothetical China-Global NAV Comparison中国-全球模拟净值对照
The QSX simulated index is plotted against CSI 300, Nasdaq-100 ETF, Gold ETF, and China Treasury ETF buy-and-hold baselines.The QSX simulated index is plotted against CSI 300, Nasdaq-100 ETF, Gold ETF, and China Treasury ETF buy-and-hold baselines.
Risk-Control Packaging风控模块展示
The study is framed as public research on four-asset rotation and drawdown containment, not as a public allocation signal.The study is framed as public research on four-asset rotation and drawdown containment, not as a public allocation signal.
The public layer describes four plain scenarios: China policy support, offshore technology expansion, global stress, and domestic bear-market defense. It is used for software-audit analysis, not trading instructions.
前台只解释四类场景：国内政策托底、海外科技扩张、全球风险冲击与 A 股熊市防御，用于研究审计，不作为操作指令。
The public framework emphasizes that CSI 300, Nasdaq-100 ETF, Gold ETF, and China Treasury ETF each have a defined role, while exact caps, transitions, and parameter thresholds remain in the licensed delayed appendix.
前台只展示四类资产各自的角色；具体上限、状态迁移和参数阈值保留在延迟授权附录中。
QuantScopeX is a research publisher and software research service. We do not manage client funds, execute trades, provide personalized investment advice, or recommend any security, commodity, token, derivative, or financial instrument.
Hypothetical backtested performance has inherent limitations and is prepared with the benefit of hindsight. Past performance does not guarantee future results. No representation is made that any account will achieve profits or losses similar to those shown.
HYPOTHETICAL PERFORMANCE RESULTS HAVE MANY INHERENT LIMITATIONS, SOME OF WHICH ARE DESCRIBED BELOW. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN; IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN HYPOTHETICAL PERFORMANCE RESULTS AND THE ACTUAL RESULTS SUBSEQUENTLY ACHIEVED BY ANY PARTICULAR TRADING PROGRAM. ONE OF THE LIMITATIONS OF HYPOTHETICAL PERFORMANCE RESULTS IS THAT THEY ARE GENERALLY PREPARED WITH THE BENEFIT OF HINDSIGHT. IN ADDITION, HYPOTHETICAL TRADING DOES NOT INVOLVE FINANCIAL RISK, AND NO HYPOTHETICAL TRADING RECORD CAN COMPLETELY ACCOUNT FOR THE IMPACT OF FINANCIAL RISK IN ACTUAL TRADING. FOR EXAMPLE, THE ABILITY TO WITHSTAND LOSSES OR TO ADHERE TO A PARTICULAR TRADING PROGRAM IN SPITE OF TRADING LOSSES ARE MATERIAL POINTS WHICH CAN ALSO ADVERSELY AFFECT ACTUAL TRADING RESULTS. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF ANY SPECIFIC TRADING PROGRAM WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF HYPOTHETICAL PERFORMANCE RESULTS AND ALL OF WHICH CAN ADVERSELY AFFECT ACTUAL TRADING RESULTS.
译文（仅供参考，以上述英文版本为准）：假设性（模拟）业绩结果存在诸多固有局限，部分如下所述。我们不就任何账户将会或可能取得与所示结果相似的盈利或亏损作出任何陈述；事实上，假设性业绩结果与任何特定交易方案此后实际取得的结果之间，往往存在显著差异。假设性业绩结果的局限之一，是其通常带有事后之明（后视偏差）。此外，假设性交易不涉及真实资金风险，任何假设性交易记录都无法完整反映实际交易中资金风险的影响。例如，承受亏损的能力、或在出现交易亏损时仍坚持既定交易方案的能力，均为可能对实际交易结果产生重大不利影响的因素。此外尚有大量与市场整体或特定交易方案实施相关的其他因素，无法在编制假设性业绩结果时被充分计入，而这些因素都可能对实际交易结果产生不利影响。