Ensure we're not running off of empty dataframes
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@ -71,7 +71,7 @@ class RangeStabilityFilter(IPairList):
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timeframe='1d',
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since_ms=since_ms)
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result = False
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if daily_candles is not None:
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if daily_candles is not None and not daily_candles.empty:
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highest_high = daily_candles['high'].max()
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lowest_low = daily_candles['low'].min()
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pct_change = ((highest_high - lowest_low) / lowest_low) if lowest_low > 0 else 0
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