Economic intuition first.
Signals should begin with a market structure, behavioral, liquidity, or risk-transfer hypothesis, not a statistical coincidence.
IF eμ Capital is being built as a research-led quantitative investment organization. Our priority is to make investment judgement testable, execution repeatable, and risk visible before capital is deployed.
This page is a partner-facing prototype. It defines the institutional language we want before product materials, performance records, or investor access are introduced. No offering is made on this website.
We are not trying to make markets feel simpler. We are building the discipline to observe them more carefully.
The firm is designed around a scientific operating model: formulate, test, falsify, implement, monitor, and retire. Every strategy should have a documented economic intuition, a data lineage, a tradability assessment, and a risk budget before it becomes part of a portfolio.
Signals should begin with a market structure, behavioral, liquidity, or risk-transfer hypothesis, not a statistical coincidence.
Capacity, latency, borrow, market impact, turnover, and failure modes are part of the research question.
Return sources, exposures, correlation regimes, drawdowns, and liquidity need to be evaluated together.
Parameter changes, data revisions, model approvals, and overrides should leave an audit trail.
Position limits, concentration, stop protocols, operational controls, and counterparty exposure are specified in advance.
A durable investment organization is built by people who prefer evidence over status and review over improvisation.
The planned platform separates research creativity from production discipline. Researchers should move quickly; production capital should move only through controlled, reviewed, and monitored systems.
Market, fundamental, alternative, news, portfolio, and execution data with versioning, quality checks, and reproducibility standards.
Lineage · QA · PermissionsFactor discovery, event studies, simulation, transaction cost modeling, robustness testing, and model review.
Backtest · Stress · Peer reviewSignal blending, exposure management, optimization constraints, scenario analysis, and implementation-aware sizing.
Risk budget · Constraints · AttributionOrder generation, pre-trade controls, routing logic, fill monitoring, exception handling, and end-of-day reconciliation.
Controls · Audit · RecoveryIF stands for Indicator & Factor. e and μ reflect the mathematical language of growth, expectation, and disciplined estimation. The Chinese brand is 易富易募.
Research approval, model promotion, capacity decisions, and override policies should be documented before products are marketed.
Portfolio exposures, drawdown behavior, liquidity assumptions, and operational incidents require independent challenge.
Investor suitability, disclosure language, personal trading rules, information barriers, and record retention are part of the operating system.
Partner communication should emphasize process, exposure, risk, and attribution, not promotional claims.
The next stage is to replace placeholders with verified firm facts: legal name, registration path, team biography, investment scope, operational partners, compliance policies, and investor suitability workflow.
Finalize naming, visual system, domain architecture, email, and document standards.
Define research governance, risk limits, trading controls, data access, and compliance procedures.
Prepare strategy memos, model documentation, risk studies, and internal review materials.
Add investor suitability and private materials only after legal and compliance review.
用选择题反复训练 A 股股票的行业字段和核心记忆点。快速测验随机抽题,分行业和全市场学习会按用户名保存本机进度。
题库来自本地 5000 股行业分类和科技线短缺材料表,适合盘后复盘前做个股知识热身。
We recommend keeping the public website intentionally spare until the firm has finalized its regulatory posture and disclosure language. The first audience is partners, service providers, and carefully identified institutional relationships.