AI Signal Intelligence
AI 信号智能
Machine-assisted regime detection, behavior modeling, and signal ranking feed directly into execution and risk workflows.
机器辅助的市场状态识别、行为建模和信号排序，直接接入执行和风控工作流。
Institutional Crypto Trading Infrastructure
机构级加密交易基础设施
Trade Digital Assets
At Institutional Scale
为数字资产打造
机构级交易基础设施
AurenQuant is a quantitative trading SaaS platform built for hedge funds, market makers, proprietary trading firms, and family offices. We combine execution infrastructure, multi-account management, market connectivity, and real-time risk controls into one institutional operating layer, with gold quant expansion underway.
天盈量化 AurenQuant 是面向对冲基金、做市商、自营交易机构与家族办公室的量化交易 SaaS 平台。 我们将执行基础设施、多账户管理、市场连接和实时风控整合为统一的机构级运营底座，并正在推进黄金量化扩展。
BTC+2.84%
ETH+4.12%
SOL+3.47%
AI ALPHALIVE
LATENCY<10ms
RISKACTIVE
$5B+
Target daily trading capacity
目标日交易处理能力
50+
Exchange & venue integrations roadmap
交易所与流动性接入规划
<10ms
Low-latency execution path objective
低延迟执行路径目标
24/7
Automated operation and monitoring
全天候自动执行与监控
Cross-market signal momentum
跨市场信号动量图
Crypto + AI + Execution
加密 + AI + 执行
AI signal curve
AI 信号曲线
Execution timing band
执行时机带
Crypto liquidity regime
加密流动性状态
AI + Crypto + Technology
AI + 加密 + 科技
The homepage should feel like a quantitative technology company, not a generic corporate template
首页应该像量化科技公司，而不是普通企业模板站
This layer makes the missing connection between crypto markets, AI-driven decisioning, and institutional-grade execution systems.
这一层补足了加密市场、AI 驱动决策和机构级执行系统之间缺失的联系。
Crypto-native Market Stack
加密原生市场栈
Built around 24/7 crypto microstructure, exchange connectivity, and liquidity-aware order handling.
围绕 7x24 小时加密市场微观结构、交易所连接与流动性感知执行能力构建。
Technology-first Infrastructure
技术优先基础设施
AurenQuant should present itself as execution infrastructure, not just a strategy showcase or marketing shell.
AurenQuant 应呈现为执行基础设施平台，而不只是策略展示页或营销外壳。
Products
产品
Modular infrastructure for institutional trading teams
为机构交易团队提供模块化基础设施
Built around the same product language used by leading quant firms: execution, strategy, risk, market connectivity, and portfolio control.
采用顶级量化机构常见的产品拆法：执行、策略、风控、市场连接与组合管理。
01
Execution Engine
执行引擎
Automated order execution, venue routing, and real-time trade orchestration for high-throughput digital asset strategies.
面向高吞吐数字资产策略的自动下单、路由分发与实时交易编排。
02
Strategy Platform
策略平台
Signal research, strategy iteration, regime modeling, and deployment workflow under one quantitative control plane.
统一承载信号研究、策略迭代、市场状态建模与部署流程。
03
Risk Engine
风控引擎
Pre-trade and post-trade checks with dynamic limits, stop logic, and exposure governance across accounts.
支持交易前后风控、动态限额、止损逻辑与多账户风险暴露治理。
04
Market Data
市场数据
Live pricing, order book feeds, market state signals, and data pipelines for execution and research workloads.
提供实时行情、盘口数据、市场状态信号与研究用数据通道。
05
Portfolio Management
组合管理
Unified account dashboards, PnL analytics, reporting layers, and oversight for institutional operating teams.
提供统一账户看板、盈亏分析、报表层和机构运营管理视图。
Institutional Trading
机构交易
Built for funds, market makers, and professional liquidity operators
服务于基金、做市商与专业流动性运营团队
Position AurenQuant as trading infrastructure, not a retail trading bot. That distinction matters for institutional trust.
网站定位强调“交易基础设施”，而不是零售交易机器人，这对机构信任至关重要。
Hedge Funds
对冲基金
Multi-strategy execution layer
多策略执行底座
- Prime-style workflow support
- 类 Prime 的执行工作流
- Multi-account governance
- 多账户治理与权限控制
Market Makers
做市商
Liquidity and venue connectivity
流动性与交易场所连接
- Order routing and venue coverage
- 路由分发与交易场覆盖
- Latency-sensitive execution paths
- 低延迟执行链路
Prop Trading
自营交易
Quant workflow and risk stack
量化工作流与风控栈
- Signal-to-execution pipeline
- 从信号到执行的一体化流程
- Real-time monitoring dashboards
- 实时监控与运营看板
Family Offices
家族办公室
Managed digital asset infrastructure
托管式数字资产基础设施
- Reporting and oversight layer
- 报表与监督层
- Future multi-asset expansion
- 后续支持多资产扩展
API & Technology
API 与技术
Technology pages should answer how institutions connect, automate, and scale
技术页面要回答机构如何接入、自动化和扩展
This section follows the structure professional quant clients expect: APIs, SDKs, connectivity, and systems architecture.
这一部分按照专业量化客户最关注的技术结构来组织：API、SDK、连接方式与系统架构。
API
接口
Connectivity stack
接入能力栈
REST API
REST 接口
Account control, reporting access, and operational workflows.
用于账户控制、报表访问和运营流程。
WebSocket
WebSocket
Streaming market updates, execution events, and state notifications.
提供行情流、执行事件与状态通知。
FIX Gateway
FIX 网关
Institutional order flow integration for professional trading teams.
面向专业交易团队的机构级订单流接入。
Python SDK
Python SDK
JavaScript SDK
JavaScript SDK
Operational API
运营接口
Reporting Layer
报表层
Architecture
架构
Multi-account SaaS control plane
多账户 SaaS 控制平面
- Unified account dashboard for operators and institutional clients
- 为运营方与机构客户提供统一账户控制台
- Role-based controls and reporting separation
- 支持基于角色的权限与报表隔离
- Designed for venue expansion and new asset classes
- 面向交易场扩展与新资产类别开放
Account IsolationEnabled
Audit TrailStructured
Deployment ModelSaaS / White Label
Risk Engine
风控引擎
Risk is where institutional credibility is earned
机构级可信度，最终取决于风控系统
The website should not over-index on returns. It should demonstrate risk discipline, control logic, and operational maturity.
官网不应过度强调收益，而应该清晰展示风险纪律、控制逻辑与运营成熟度。
01
Real-time risk checks
实时风控检查
Monitor account state, execution exposure, and abnormal trade behavior before and after order placement.
在下单前后对账户状态、执行暴露和异常交易行为进行实时监测。
02
Position limits
风险限额
Configure account-level limits, leverage boundaries, and product-specific guardrails.
支持账户级限额、杠杆边界与品种级风控护栏设置。
03
Margin monitoring
保证金监控
Track collateral usage, liquidation distance, and operational thresholds in one oversight layer.
统一监控抵押占用、清算距离和运营阈值。
04
Liquidation protection
清算保护
ATR-based stop logic, Kelly-style budget controls, and automated protection routines reduce tail risk.
基于 ATR 的止损逻辑、Kelly 风险预算和自动保护机制共同降低尾部风险。
Clients
客户
Institutional onboarding should feel structured, not improvised
机构客户接入流程必须清晰、专业、可执行
Use the client section to explain who the platform is for and how engagement starts.
用客户页面说明适用对象，以及合作如何开始。
Client Types
客户类型
Target client profile
目标客户类型
- Hedge Funds
- Market Makers
- Prop Trading Firms
- Family Offices
Onboarding
接入流程
Institutional setup workflow
机构接入流程
- Initial qualification and strategy alignment
- 需求访谈与策略匹配
- Account setup and operational permissions
- 账户配置与权限设置
- Execution and reporting activation
- 执行与报表系统开通
Partnership
合作模式
Commercial model
合作与商业模式
- SaaS subscription
- SaaS 订阅
- Transaction-linked pricing
- 交易相关计费
- White-label deployment options
- 白标部署选项
Hedge Funds
Prop Trading
Market Makers
Crypto Institutions
Brand & Company
品牌与公司
A company page should signal depth, not just biography
品牌与公司页要体现深度，而不仅仅是介绍
Position the company around technical depth, institutional service capability, and future multi-asset expansion.
将公司定位建立在技术深度、机构服务能力与未来多资产扩展之上。
About
关于我们
Institutional quant DNA
机构量化基因
Originating from global market systems experience across FX, equities, futures, and digital assets.
团队起源于外汇、股票、期货与数字资产等全球市场系统经验。
Team
团队
Research, execution, and client operations
研究、执行与客户运营
Cross-functional operator model spanning quant research, trading engineering, and institutional relationship workflows.
横跨量化研究、交易工程与机构合作的复合型团队模型。
Partners
合作伙伴
Venue and capital ecosystem readiness
交易场与资本生态协作
Structured to work with exchanges, prime-style counterparties, funds, family offices, and distribution partners.
面向交易所、类 Prime 对手方、基金、家办与渠道伙伴的协作体系。
Expansion
扩展方向
From crypto quant to gold quant
从数字货币量化到黄金量化
Extend the operating stack into new macro-sensitive assets and build a broader multi-asset quant platform.
将现有运营底座延展到更具宏观属性的新资产，形成多资产量化平台。
Request Access
申请接入
Turn the homepage into an institutional entry point
让首页成为机构客户的真正入口
This version is intentionally positioned as a quant trading infrastructure platform. The next step is to plug in your real contact channels, investor relations details, and dedicated product pages for Products, Technology, and Institutions.
这一版首页已明确转向“量化交易基础设施平台”的叙事。下一步最适合补入真实联系方式、投资者关系入口， 以及 Products、Technology、Institutions 等独立页面。