在现代数据分析领域，时间序列数据的处理和预测一直是一个具有挑战性的问题。随着物联网设备、金融交易系统和工业传感器的普及，我们面临着越来越多的高维时间序列数据。这些数据不仅维度高，而且往往包含复杂的时间依赖关系和潜在模式。传统的时间序列分析方法如移动平 ...

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This repository features Juno, an automated trade bot for Binance, designed for margin trading of cryptocurrencies. It utilizes advanced algorithmic strategies to optimize trading decisions and ...

状态空间模型通过构建生成可观测数据的潜在未观测状态模型来进行时间序列分析。作为该方法论的核心，卡尔曼滤波为实时估计这些隐状态提供了一个理论完备的解决方案。本文深入探讨这些方法的理论基础和实践应用，阐述其在多领域的适用性。

TradeGPT is an intelligent trading bot built with ChatGPT and AI to automate and optimize trading strategies. It analyzes market data, predicts trends, and executes trades in real-time, providing ...

The attention weight analysis was performed using the HuggingFace.co Transformers application programming interface (API) V.4.39.3. The results were visualised using the library Matplotlib V.3.8.4, ...