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Openai/69170b57-b838-8009-b414-74b33920aac7
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=== 1. そのまま私に実データで計算させる(推奨): デフォルト設定(A)で実行し、結果(勝率、中央値、平均、分布、代表的な勝ち/負け開始年)を表とグラフで出します。 → 出力例:勝率 = X%(Lump勝ち)、Lump の最終資産の中央値 = Y万円、DCA の中央値 = Z万円、平均差 = …(精密数字を提示)。 === # 先に前提を細かく指定する(年次/月次、年初/年末、実質/名目、手数料など)→ その前提で実行。 # まずは簡単なサマリー(定常モデル以外の“文献ベース”の実例)をもっと知りたい → 既存レポートの要点(Vanguard等)と過去研究の典型的な勝率レンジをまとめる。Slickcharts<ref>{{cite web|title=Slickcharts|url=https://www.slickcharts.com/sp500/returns|publisher=slickcharts.com|access-date=2025-11-19}}</ref> ご希望はどれですか?(私のおすすめ:そのまま実データで計算して、厳密な数値を出す→ 結果を表と図で提示します。条件は上の A を使います。)
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