Stratlib.AI - A Trusted Machine Learning Platform For Asset Managers

Stratlib.AI - 资产管理者值得信赖的机器学习平台

• 批准号: 10068425
• 金额: $ 6.02万
• 依托单位: STRATIPHY LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10068425
• 关键词: Stratlib.AI; Trusted; Machine; Learning; Platform

We aim to provide businesses with the ability to generate optimised investment strategies using machine learning techniques.At the core of Stratiphy is Stratlib, our computation engine for constructing, rebalancing, and backtesting bespoke investment strategies. It is offered to businesses via an API, and also used to power Stratiphy's mobile app for retail investors.Our proposed project will investigate whether it is practical and of value to enrich Stratlib with Machine Learning (ML) techniques to produce an enhanced platform, Stratlib.AI. This could be used by SMEs within the financial services sector to optimise the parameters that define their investment strategies. These ML optimised strategies are likely to demonstrate increased performance and adapt better to changing market conditions. We will develop trust in Stratlib.AI among our clients by providing full transparency of the optimisation process: the client will choose the parameters to optimise, the ML models to use, and will have the option to supply their own training data.

我们的目标是为企业提供使用机器学习技术生成优化投资策略的能力。Stratiphy的核心是Stratlib，我们的计算引擎用于构建，重新平衡和回测定制的投资策略。它通过API提供给企业，也用于为Stratiphy面向散户投资者的移动的应用程序提供动力。我们提议的项目将研究使用机器学习（ML）技术丰富Stratlib以产生增强平台Stratlib.AI是否实用和有价值。金融服务部门的中小企业可以利用这一点来优化界定其投资战略的参数。这些ML优化策略可能会表现出更高的性能，并更好地适应不断变化的市场条件。我们将通过提供完全透明的优化过程来培养客户对Stratlib.AI的信任：客户将选择要优化的参数、要使用的ML模型，并可以选择提供自己的训练数据。