远见金融科技(Foresight FinTech)是一家研究驱动的系统化投资机构。我们以多因子模型为核心,用可验证的证据构建投资组合,在风险可控的前提下,追求跨越周期的长期复利。 Foresight FinTech is a research-driven systematic investment firm. With multi-factor models at our core, we build portfolios on verifiable evidence — pursuing long-term compounding across market cycles, with risk firmly under control.
我们不依赖任何个人的市场直觉。每一条进入实盘的规则,都必须先在严格的历史检验与样本外验证中证明自己;每一次交易,都由系统在既定的风险预算内自动完成。我们相信,长期超额收益来自可重复的过程,而非偶然的判断。 We rely on no one's market intuition. Every rule that reaches live capital must first prove itself through rigorous historical testing and out-of-sample validation; every trade is executed automatically within a predefined risk budget. We believe durable excess returns come from repeatable process, not occasional judgment.
任何信号在获得资本配置之前,必须通过点时数据回测、样本外验证与稳健性压力测试,未经证明的想法权重为零。 Before any signal earns an allocation, it must survive point-in-time backtesting, out-of-sample validation and robustness stress tests. Unproven ideas receive zero weight.
我们先定义可以承受的损失,再讨论可能获得的收益。风险预算决定仓位,而不是收益预期决定仓位。 We define acceptable loss before discussing potential return. Risk budgets determine position sizes — return expectations do not.
从信号生成到下单执行全程自动化,将情绪、侥幸与临场发挥彻底排除在投资流程之外。 From signal generation to order execution, the process is fully automated — removing emotion, wishful thinking and improvisation from investing.
选股、择时、防御与配权四个模块相互独立又彼此制衡,共同构成一个在不同市场环境下都有章可循的完整体系。 Selection, timing, defense and allocation operate as independent yet mutually restraining modules — a complete system with clear rules for every market environment.
融合动量、盈余修正、市场情绪等多维独立信号,在行业内部进行中性化比较,寻找真正由公司基本面驱动的超额收益来源,而非行业景气的搭便车者。 Blends momentum, earnings revision, market sentiment and other independent signals, compared neutrally within each industry — seeking excess returns genuinely driven by company fundamentals, not free rides on sector momentum.
通过宏观趋势与市场广度指标持续判定所处的市场环境,在环境恶化时分级、平滑地降低风险敞口,避免在暴风雨中满帆航行。 Continuously classifies the market environment using macro-trend and breadth indicators, reducing exposure in graduated, orderly steps as conditions deteriorate — never sailing at full canvas into a storm.
在防御状态下动态引入国债、黄金等低相关资产,以真实的跨资产分散——而非简单持有现金——为组合提供下行缓冲。 In defensive regimes, dynamically introduces Treasuries, gold and other low-correlation assets — cushioning drawdowns through genuine cross-asset diversification rather than simply holding cash.
基于因子间协方差结构分配风险,而非简单等权;确保任何单一因子失效都不足以动摇组合全局,持续提升有效分散度。 Allocates risk according to the covariance structure across factors rather than naive equal weighting — ensuring no single factor's failure can destabilize the portfolio, and steadily improving effective diversification.
我们以风险调整后的长期表现,而非单一年份的高收益,来衡量成功。以下为策略特征的示意性说明,完整且经独立核验的历史业绩,向合格投资者依约披露。 We measure success by risk-adjusted performance over full cycles — not by the return of any single year. The figures below illustrate the strategy profile; complete, independently verified track record is disclosed to qualified investors under agreement.
使用 Point-in-Time 历史成分与数据,彻底消除幸存者偏差与前视偏差,只用"当时真的知道的信息"检验策略。 Historical constituents and data are used exactly as they were known at the time, eliminating survivorship and look-ahead bias — strategies are tested only on information that truly existed.
研究与验证数据严格分离,策略必须在从未用于开发的时间段上重现有效性,才能进入实盘。 Research and validation data are strictly separated. A strategy must reproduce its edge on periods never used in development before it reaches live capital.
对关键参数进行系统性扰动测试,只保留在宽参数区间内都成立的规则,拒绝一切"精调出来的幻觉"。 Key parameters are systematically perturbed; only rules that hold across wide parameter ranges survive. We reject every finely-tuned illusion.
投资流程定期接受独立视角的方法论审计,主动寻找并修复统计与工程上的薄弱环节,让体系在质疑中变得更强。 The investment process undergoes recurring methodological audits from an independent perspective — actively seeking out statistical and engineering weaknesses so the system grows stronger under scrutiny.
收益由市场给予,风险由我们掌控。从组合结构到实时运营,三道相互独立的防线确保任何单点故障都不会演变为不可挽回的损失。 Markets grant returns; we govern risk. From portfolio structure to live operations, three independent lines of defense ensure no single failure can become an irrecoverable loss.
多源行情与基本面数据自动采集、清洗、对齐,并做新鲜度校验。 Multi-source market and fundamental data automatically collected, cleaned, aligned and freshness-checked.
信号构建、正交化与边际贡献分析,持续汰弱留强。 Signal construction, orthogonalization and marginal-contribution analysis; the weak are continuously retired.
协方差风险预算配权,叠加状态识别与防御模块。 Covariance-based risk budgeting, layered with regime detection and defensive modules.
系统按既定规则生成并执行交易,全程无人工干预。 Trades are generated and executed by the system under predefined rules — no manual intervention.
实时风控监测与定期归因复盘,反哺下一轮研究。 Real-time risk monitoring and periodic attribution reviews feed the next research cycle.
我们的核心团队汇聚了来自量化投资、人工智能、金融工程与高性能系统等领域的国际化人才,拥有一流机构与前沿科技的从业背景,以科学的方法和工程的严谨共同管理资本。 Our core team brings together international talent across quantitative investing, artificial intelligence, financial engineering and high-performance systems — with backgrounds at leading institutions and at the frontier of technology, managing capital with scientific method and engineering rigor.
统筹投资决策与风险预算,拥有二十年跨市场资产管理与系统化策略经验。 Leads investment decisions and risk budgeting, with two decades of cross-market asset management and systematic strategy experience.
主导多因子模型与信号研究,专注统计套利与因子正交化,发表多篇实证金融研究。 Drives multi-factor modeling and signal research, focused on statistical arbitrage and factor orthogonalization, with published empirical-finance work.
负责深度学习与另类数据建模,将自然语言处理用于市场情绪与盈余修正信号的提取。 Leads deep learning and alternative-data modeling, applying NLP to extract market-sentiment and earnings-revision signals.
设计因子协方差风险预算与跨资产防御框架,确保组合在极端环境下的韧性。 Designs factor-covariance risk budgeting and cross-asset defensive frameworks, ensuring portfolio resilience through extreme regimes.
构建自动化交易与实时风控系统,专注低延迟执行、数据管线与全链路可靠性。 Builds the automated-trading and real-time risk systems, focused on low-latency execution, data pipelines and end-to-end reliability.
主管数据工程与点时数据治理,负责信号验证、回测基础设施与数据新鲜度护栏。 Oversees data engineering and point-in-time data governance, responsible for signal validation, backtesting infrastructure and data-freshness guardrails.
完整团队履历与联系方式,向合格投资者依约披露。 Full team biographies and details are disclosed to qualified investors under agreement.
短期的波动无法避免,远见金融科技Foresight FinTech
但长期的纪律可以选择。 Short-term volatility cannot be avoided.
Long-term discipline can be chosen.
我们欢迎认同长期主义与系统化投资理念的合格投资者与机构伙伴。如您希望进一步了解我们的投资方法与合作方式,请留下您的信息,我们将在两个工作日内与您联系。 We welcome qualified investors and institutional partners who share our belief in long-term, systematic investing. To learn more about our approach and how we work with partners, leave your details and we will respond within two business days.