Chain another mask created by Series.duplicated with keep=False by & for bitwise AND and filter in boolean indexing:
ss = df.Stock.ne(df.Stock.shift())
ss1 = ss.cumsum().duplicated(keep=False)
df = df[ss & ss1]
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