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		<title>When Machine Learning Models Fake a Trading Edge: How Data Leakage Manufactured a Perfect Bank Nifty Prediction</title>
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		<pubDate>Sat, 17 Oct 2026 10:53:21 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Bank Nifty]]></category>
		<category><![CDATA[BiLSTM]]></category>
		<category><![CDATA[data leakage]]></category>
		<category><![CDATA[India VIX]]></category>
		<category><![CDATA[look-ahead bias]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[quantitative finance]]></category>
		<category><![CDATA[stacking ensemble]]></category>
		<category><![CDATA[trading simulation]]></category>
		<category><![CDATA[volatility regime]]></category>
		<category><![CDATA[walk-forward analysis]]></category>
		<category><![CDATA[XGBoost]]></category>
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					<description><![CDATA[A new study shows how data leakage and flawed backtesting protocols can manufacture apparently strong machine learning predictions in financial markets.]]></description>
		
		
		
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