Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
コンテキスト
いくつかの有用な特徴量を用いて株価指数の動き（つまり、上昇か下降か？）を予測する。
内容
**ラベル**：翌営業日の終値が当日の終値より低い（高い）場合、0（下降）または1（上昇）。
**特徴量**：OHLC（始値、高値、安値、終値）と出来高データはYahoo Financeから、マクロ経済指標はFRED（https://fred.stlouisfed.org/ を参照）から取得。
**頻度**：日次
**期間**：2008年4月 - 2018年3月
バージョン（特徴量）
● バージョン1：マクロ経済指標
● バージョン2：OHLC + 出来高 + マクロ経済指標
● バージョン3：ダウ平均（ダウ30）とナスダック株価指数を追加
注意事項
関連するカーネルも（ディープラーニングアルゴリズムに基づいて）表示されています。
一緒になろう
関連する金融問題と予測アルゴリズムを一緒に研究できれば、いつも素晴らしいことが起こります。
私のGitHubプロフィール：https://github.com/jmq19950824
私のメールアドレス：jiangmq95@163.com
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
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