Live OOS · Q2 2026 真实样本外 · 2026 Q2
Target CAGR ~125% 目标年化 ~125% Sharpe 2.87 夏普 2.87
/ Systematic Digital-Asset Quant Fund
/ 系统化数字资产量化基金

Discovering value
where others see noise.
于他人见噪音之处,
发现价值

A systematic crypto fund operating on minute-scale data across spot and derivatives. Twenty-one production strategies, multiple uncorrelated signal families, validated across six years of market history.

系统化数字资产投资机构,立足分钟级行情数据,覆盖现货与永续合约市场。21 项生产策略,多类正交信号体系,历经六年完整市场周期验证。

Systematic· Multi-strategy· Cross-asset· Systematic· Multi-strategy· Cross-asset· Systematic· Multi-strategy· Cross-asset· Systematic· Multi-strategy· Cross-asset·
01 · Approach

Edge from microstructure,
not narrative.
阿尔法源于市场微观结构,
而非叙事与情绪。

/ 01

Premium Flow 溢价流

Cross-venue spreads capture institutional capital flow — a leading signal across major digital assets. 跨交易所价差,捕捉机构资金流向,领先主流资产行情。

/ 02

Momentum Inflection 动量拐点

Identify structural trend reversals, filter false breakouts, raise hit rate. 识别趋势结构反转,过滤假突破,提升胜率。

/ 03

Regime Awareness 行情识别

Adapt to market state — activate only in suitable regimes, controlling drawdowns. 自适应市场状态,只在有效环境下开仓,控制回撤。

/ Causal

Every signal uses only past data. Walk-forward validation. No look-ahead, no curve fitting beyond the optimization window. 所有信号严格基于历史数据,前向验证;杜绝未来函数与跨窗口曲线拟合。

/ Costed

Commission, slippage, and funding modeled per-trade. Next-bar-open execution. Backtest realism that exceeds typical retail and academic standards. 逐笔建模佣金、滑点与资金费率;下一根 K 线开盘成交。回测真实度显著高于零售与学术常见标准。

/ Diversified

Multiple orthogonal signal families across five assets and five timeframes. When one cluster is wrong, others typically aren't. 多类正交信号体系,覆盖五种资产、五个时间周期;单类失效时,其他通常仍然有效。

02 · Performance

Validated across cycles.
Edge generalizes.
六年全周期验证。
策略外推能力稳定。

Our 21-strategy production portfolio. In-sample backtest Sharpe 3.05 (2022–2025), validated out-of-sample on 2020–2021 (Sharpe 2.07) and 2026 YTD live OOS (Sharpe 2.87). 21 项策略组合。样本内回测夏普 3.05(2022–2025);样本外覆盖 2020–2021(夏普 2.07)与 2026 年迄今真实样本外(夏普 2.87)。

/ Live performance target

Targets below are anchored on actual 2026 out-of-sample results through May 7 (127 days, true OOS), with conservative haircuts applied. Numbers are presented as target live / in-sample backtest. 以下目标基于 2026 年迄今 127 天真实样本外表现(截至 5 月 7 日),经保守折扣后给出。数据成对呈现:实盘目标 / 样本内回测

Target CAGR · 1.5x
~125%
+42.5% over 127 days OOS, annualized · 1x ≈ 78%
127 天样本外 +42.5%,线性年化 · 1 倍约 78%
Sharpe
2.87
2026 live OOS · IS 3.05 / 2020–21 OOS 2.07
2026 真实样本外 · 样本内 3.05 / 2020–21 样本外 2.07
Expected Max DD
~−15%
2026 actual −10.7% · backtest −29.7%
2026 实际 −10.7% · 回测 −29.7%
Validation Coverage
6y
2020–2026 · 2+ yr true OOS
2020–2026 · 2+ 年真实样本外
Equity · 2022 – May 2026 · 1.5x leverage · log scale 净值曲线 · 2022 – 2026 年 5 月 · 1.5 倍杠杆 · 对数轴
Real reconstructed equity — in-sample 2022–2025 backtest, true OOS from 2026-01-01. 真实重构净值 — 2022–2025 样本内回测,2026-01-01 起真实样本外。
+17,409%
cumulative · CAGR +228% · Sh 3.05 累计 · 年化 +228% · 夏普 3.05
Annual returns · 1.5x leverage · backtest 年度收益 · 1.5 倍杠杆 · 回测
2022
+242%
2023
+252%
2024
+253%
2025
+199%
2026 YTD · OOS
+42.5%
2022–2025 from in-sample backtest at 1.5x leverage; commission 0.05% / slippage 0.01% per side, perp funding 0.01%/8h, next-bar-open fills. 2026 YTD is true out-of-sample equity through May 7 (127 days, 1.5x); paper-trade execution since April. 2022–2025 为 1.5 倍杠杆样本内回测:佣金 0.05% / 滑点 0.01%(单边),永续资金费率 0.01%/8h,下一根 K 线开盘成交。2026 年迄今为真实样本外净值(截至 5 月 7 日,127 天,1.5 倍杠杆);4 月起接入模拟实盘执行。
/ Out-of-Sample

Edge generalizes to unseen periods. 在未参与训练的数据上,阿尔法依然成立。

2022 – 2025
In-sample backtest
样本内回测
3.05
Sharpe
2020 – 2021
True out-of-sample · perp
真实样本外 · 永续
2.07
68% retention
2026 YTD
Live OOS
真实样本外
2.87
94% retention

Sharpe retention well above the industry >0.5 threshold for genuine edge in two independent out-of-sample windows places the portfolio in the top decile of systematic strategies. 在两段独立的样本外区间,夏普保持率均显著高于 0.5 的行业真实阿尔法阈值——这一表现跻身系统化策略前十分位。

03 · Infrastructure

Engineered architecture. Reliable, reproducible. 工程化架构,可靠可复现。

/ Execution

Backtest-to-live divergence held within 1–2 percentage points. Engineering-grade deployment. 回测与实盘偏差控制在 1–2 个百分点,工程级部署。

/ Data

Minute-resolution OHLCV across multiple market regimes. Coinbase, Binance, Binance Perp. Funding rate history modeled for directional cost. 横跨多个市场周期的分钟级 OHLCV 数据。来源涵盖 Coinbase、Binance、Binance 永续,包含完整资金费率历史。

/ Risk

Under 2x nominal leverage, actual net risk exposure is only 0.67x — multi-strategy internal hedging substantially reduces portfolio volatility. 名义 2 倍杠杆下,实际净风险敞口仅 0.67 倍,多策略内部对冲,大幅降低波动。

/ Discipline

No discretionary overrides. No narrative trades. Every position is a model output. Drawdown limits are pre-committed, not reactive. 不做主观干预,不做叙事交易。每笔仓位皆为模型输出;回撤上限事先约定,而非事后被动响应。

04 · Notes

Deep research. Published regularly. 深度研究,定期发布。

We publish selected research notes — drawdown post-mortems, regime studies, structural-edge writeups — to qualified subscribers. The first issue ships with the live launch. 面向合格订阅者,定期发布精选研究笔记——涵盖回撤复盘、机制研究、结构性阿尔法解析等主题。首期随基金正式上线发布。

Subscribe to notes 订阅研究笔记
05 · Contact

Currently raising. Selectively. 定向募集中。

For institutional allocators, family offices, and qualified investors. Email to schedule due diligence — responses within five business days. 面向机构配置者、家族办公室及合格投资者。请邮件预约尽调,五个工作日内回复。