4 Matching Annotations
  1. Last 7 days
    1. 60 秒四路数据源并行采集,输出图文交错的研报。

      令人惊讶的是,GLM-5V-Turbo集成的'股票分析师'Skill能在短短60秒内从四个不同数据源并行采集信息并生成图文交错的研报。这种速度和效率远超传统金融分析师,展示了AI在专业领域的惊人潜力。

    1. Kronos, a specialized pre-training framework for financial K-line data, outperforms existing models in forecasting and synthetic data generation through a unique tokenizer and autoregressive pre-training on a large dataset.

      令人惊讶的是:金融数据K线图这种传统技术分析工具竟然可以通过专门的预训练框架Kronos进行优化,并且能够超越现有模型。这展示了AI在金融领域的创新应用,将看似简单的金融数据转化为'语言'进行处理,暗示了金融市场的复杂规律可能被AI重新解读。

    1. Closed Loop + Finite Demand = Efficiency Plays. AI bookkeeping categorizes transactions, reconciles accounts, files returns. Deterministic rules applied to numbers.

      令人惊讶的是:即使是有限需求领域,AI也能通过确定性规则实现显著效率提升。AI记账系统能够自动处理分类、对账和报税等任务,这表明即使在传统上需要人工判断的财务领域,AI也能通过标准化流程创造价值。

  2. Apr 2024
    1. Until recently hedge funds and HFT firms were the main users of AI in finance, but applications have now spread to other areas including banks, regulators, Fintech, insurance firms to name a few

      Using mobile phone data, Bjorkegren and Grissen (2015) employ ML methods to predict loan repayments.

      In the insurance industry, Cytora is using AI to make better risk assessments about their customers, leading to more accurate pricing and minimising claims.