ストックデータ:オープンな投資取引データセット.
Mingrui Li1, Can Wu2, Wentao Mao3
1Orange Digital Technology Co., Ltd., China.
Data in brief
|February 18, 2026
まとめ
この研究は,個々の投資取引のオープンで匿名化されたデータセットであるStockVisを紹介しています. このアクセシブルなデータは,研究者やアナリストのポートフォリオ分析と戦略的意思決定を改善することを目的としています.
科学分野:
- 定量金融 定量金融とは
- データサイエンス データサイエンス
背景:
- 増加する投資取引は,財務データの高度な視覚分析を必要とします.
- プライバシーに関する懸念により,小売投資のデータは希少であり,ポートフォリオ管理に関する研究を妨げています.
- 既存のツールには,個々の投資家の行動分析のための包括的でアクセス可能なデータセットがありません.
研究 の 目的:
- 個々の投資取引に関する最初のオープンで匿名化されたデータセットであるStockVisを紹介します.
- ポートフォリオの分析,管理,視覚化に関する研究を促進します.
- アクセシブルな財務データを通じて,戦略的意思決定を強化する.
主な方法:
- 個人の投資家の取引記録からオープンで匿名化されたデータセット (StockVis) の作成.
- 3~4年間の米国株に関するメタデータを含む.
- データセットの特徴と匿名化プロセスの詳細な概要.
主要な成果:
- StockVisは,投資行動を研究するためのユニークで包括的なデータセットを提供します.
- このデータセットは,関連メタデータを含む米国の株式市場取引をカバーしています.
- ケーススタディとサンプル画像は,将来の研究を導くために提示されています.
結論:
- StockVisのアクセシビリティは,研究コミュニティに大きく貢献します.
- 投資とポートフォリオの分析における探査とイノベーションの強化を促進します.
- 投資ポートフォリオ管理における戦略的意思決定を改善することを目的としています.
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