各位资管伙伴、投资同路人：
如果你最近感到市场越来越"卷"——同样的因子、相似的模型、日渐稀薄的超额收益，那你并不孤单。当传统量化进入"红海博弈"，我们坚信：下一代阿尔法，属于"会思考、能进化"的策略生命体。
今天，未来创投正式推出AI自适应策略量化业务，为股票、加密货币及跨资产交易打造一站式智能解决方案。这不是简单的模型迭代，而是一场让投资系统"活"起来的技术革命。
一、技术内核：三大突破，让策略"学会"进化
1️⃣ 深度强化学习引擎：24小时"拜师"顶尖基金经理
我们的Quant-α-Agent采用"模仿+实战"两阶段训练：
冷启动：用10年顶级基金经理交易日志做"行为克隆"，24小时即可复刻人类高手决策框架，告别数月回测调参
实战淬炼：实盘运行中通过Reward-Shaping技术，以夏普、卡玛、流动性惩罚三维奖励函数持续自我迭代，毫秒级完成最优下单决策
想象你的策略每天都在"打怪升级"，越交易越聪明。
2️⃣ RAG实时知识注入：给AI配一个"7×24小时资讯助理"
传统LLM最大的痛点是信息滞后。我们通过检索增强生成（RAG）架构，在每次决策前自动检索：
6800+新闻源、研报、社交媒体情绪
链上数据、宏观指标、另类文本
这些信息被转化为256维"情境向量"，与价格序列同步输入模型。信号半衰期从7天暴降至30分钟，市场风云变幻，我们总能先人一步。
3️⃣ 多智能体协作：让"专家委员会"实时开会
趋势-智能体（进攻）、套利-智能体（平衡）、风险-智能体（防守）三方动态博弈，中央协调器采用博弈加权机制自动分配资金：
某策略最大回撤>5%？自动降权，资金转移
市场风格突变？权重漂移，无缝切换
实现风险预算的实时再平衡，无需人工干预。
二、核心产品：从A股到加密资产，全线覆盖
📈 A-Stock 自适应多因子系统
（主攻A股市场的"智慧大脑"）
实盘业绩：2023年9月上线至今，夏普比率1.31，超额年化18.4%，最大回撤仅4.7%
交易特征：持仓300-400只，双边年化换手率38倍，分散度高
核心优势：模型每周在线学习，因子权重随市场风格自动漂移，彻底告别人工调参
🪙 Crypto-24 小时趋势机器人
（加密市场永不眠，我们也不眠）
标的：BTC/ETH永续合约
创新：引入LB²优化器，动态调整均线窗口，适应高波动
回测表现：2024年1-5月，夏普2.05，盈亏比2.8，胜率62%
技术实力：已接入3家头部交易所API，延迟<20ms，支持7×24无人值守
🏭 Alpha-Factory 策略云
（为机构打造的"量化策略生产线"）
低代码因子→自动特征工程→DRL训练→仿真撮合，30分钟即可生成一套可交易模型。目前已孵化60+第三方策略，是券商、家族办公室快速布局量化的"利器"。
三、护城河：为什么难以复制？
① 数据壁垒：自建12PB金融数据中心，覆盖2005年以来全球40个市场tick级行情+3亿条另类文本，数据就是燃料
② 算力引擎：与运营商共建200卡A100集群，训练效率提升4倍，推理延迟<1毫秒，速度就是生命线
③ 合规底座：模型内置可解释模块，支持SHAP归因与监管留痕，已通过券商资管白名单评审，合规不是口号
四、合作模式：一起驶向新蓝海
我们提供菜单式定制服务，总有一款适合你：
💰 资金端：AI自适应量化基金
接受机构、高净值个人定制跟投，敞口、杠杆、最大回撤均可自由选择。你的风险胃口，你做主。
🔧 技术端：智能投研模块输出
为银行、保险、三方财富提供API服务，按调用量计费。轻量级接入，重量级赋能。
🌱 生态端：算力换股权计划
开放Alpha-Factory给高校与初创团队，以 "算力换股权" 模式共享收益。你专注策略创新，我们提供基础设施。
结语：AI不是替代人类，而是放大人类的洞察力
未来创投相信，最好的投资系统，应该像生命体一样自我进化——它继承顶尖交易员的智慧，又拥有机器的持续学习能力。
我们诚邀资管机构、交易团队、数据伙伴携手，共同探索自适应量化的无限可能。
让策略活起来，让收益跑起来。
Dear Asset Management Partners and Fellow Investors: If you've recently felt the market becoming increasingly volatile—with similar factors, similar models, and dwindling excess returns—you're not alone. As traditional quantitative trading enters a "red ocean" of competition, we firmly believe that the next generation of alpha belongs to strategic life forms that can "think and evolve."
Today, Future Ventures officially launches its AI-adaptive strategy quantitative trading business, creating a one-stop intelligent solution for stock, cryptocurrency, and cross-asset trading. This is not simply model iteration, but a technological revolution that brings investment systems to life.
I. Core Technology: Three Major Breakthroughs Enable Strategies to "Learn" and Evolve
1️⃣ Deep Reinforcement Learning Engine: 24-Hour "Apprenticeship" with Top Fund Managers
Our Quant-α-Agent employs a two-stage training approach: "Imitation + Real-World Practice":
Cold Start: Using 10 years of trading logs from top fund managers for "behavioral cloning," it can replicate the decision-making framework of human experts within 24 hours, eliminating the need for months of backtesting and parameter tuning.
Real-World Refinement: During live trading, Reward-Shaping technology continuously iterates itself using a three-dimensional reward function of Sharpe, Kalmar, and liquidity penalty, achieving optimal order placement decisions in milliseconds.
Imagine your strategy "leveling up" every day, becoming smarter with each trade.
2️⃣ Real-Time RAG Knowledge Injection: Giving AI a "24/7 Information Assistant"
The biggest pain point of traditional LLM is information lag. We utilize a Retrieval Enhancement Generation (RAG) architecture to automatically retrieve:
6800+ news sources, research reports, social media sentiment
On-chain data, macroeconomic indicators, and alternative texts. This information is transformed into a 256-dimensional "contextual vector," which is synchronously input into the model along with the price sequence. The signal half-life has plummeted from 7 days to 30 minutes, ensuring we are always one step ahead in volatile markets.
3️⃣ Multi-Agent Collaboration: Real-Time "Expert Committee" Meetings
A dynamic game is played between three parties: Trend Agent (Offense), Arbitrage Agent (Balance), and Risk Agent (Defense). A central coordinator automatically allocates funds using a game-weighted mechanism:
Maximum drawdown of a strategy > 5%? Automatic deweighting and fund transfer.
Sudden market style shift? Weight drift, seamless switching.
Real-time rebalancing of risk budgets is achieved without manual intervention.
II. Core Products: Full Coverage from A-Shares to Crypto Assets
📈 A-Stock Adaptive Multi-Factor System
(The "Smart Brain" Primarily Targeting the A-Share Market)
Real-World Performance: Launched in September 2023, Sharpe Ratio 1.31, Annualized Excess Return 18.4%, Maximum Drawdown Only 4.7%
Trading Characteristics: 300-400 Stocks Held, Annualized Turnover Rate 38x, High Diversification
Core Advantages: The model learns online weekly, factor weights automatically drift with market trends, completely eliminating the need for manual parameter tuning.
🪙 Crypto-24 Hourly Trend Robot
(The crypto market never sleeps, and neither do we)
Target: BTC/ETH Perpetual Contracts
Innovation: Introduces the LB² optimizer, dynamically adjusting the moving average window to adapt to high volatility.
Backtesting Performance: January-May 2024, Sharpe ratio 2.05, profit/loss ratio 2.8, win rate 62%.
Technical Strength: Integrated with APIs of 3 leading exchanges, latency <20ms, supports 24/7 unattended operation.
🏭 Alpha-Factory Strategy Cloud
(A "quantitative strategy production line" built for institutions) Low code factor → Automatic feature engineering → DRL training → Simulated matching, generating a tradable model in 30 minutes. Currently incubating 60+ third-party strategies, a powerful tool for securities firms and family offices to quickly deploy quantitative strategies.
III. Moat: Why is it difficult to replicate?
① Data Barrier: A self-built 12PB financial data center covers tick-level market data from 40 global markets since 2005, plus 300 million pieces of alternative text. Data is the fuel.
② Computing Engine: A 200-card A100 cluster co-built with telecom operators improves training efficiency by 4 times, with inference latency <1 millisecond. Speed is the lifeline.
③ Compliance Foundation: The model has a built-in interpretable module, supporting SHAP attribution and regulatory tracking. It has passed the securities firm asset management whitelist review. Compliance is not just a slogan.
IV. Cooperation Model: Sailing Towards a New Blue Ocean
We offer a menu-style customized service; there's always one that suits you:
💰 Funding Side: AI Adaptive Quantitative Fund
Accepting customized co-investment from institutions and high-net-worth individuals. Exposure, leverage, and maximum drawdown can all be freely selected. Your risk appetite, your choice.
🔧 Technology Side: Intelligent Investment Research Module Output
Providing API services to banks, insurance companies, and third-party wealth management, billed on a per-call basis. Lightweight access, heavyweight empowerment.
🌱 Ecosystem: Computing Power for Equity Program
We open Alpha-Factory to universities and startups, sharing profits through a "computing power for equity" model. You focus on strategy innovation, we provide the infrastructure.
Conclusion: AI doesn't replace humans, but amplifies human insight.
Future Ventures believes the best investment system should evolve like a living organism—inheriting the wisdom of top traders while possessing the continuous learning capabilities of machines.
We sincerely invite asset management institutions, trading teams, and data partners to join hands in exploring the infinite possibilities of adaptive quantitative investing.
Let strategies come alive, let returns run.