Jim Simons Agent #446
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Jim Simons Agent #446
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virattt
reviewed
Sep 20, 2025
Avi-141
reviewed
Jan 5, 2026
| return {"messages": [message], "data": state["data"]} | ||
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| def analyze_statistical_patterns(financial_line_items: list) -> dict[str, any]: |
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def analyze_statistical_patterns(financial_line_items: list) -> dict[str, Any]:
any (lowercase) is not a valid type .. it should be Any from typing module. This appears in all the analysis functions.
Avi-141
reviewed
Jan 5, 2026
| reasoning.append(f"Moderate revenue pattern (autocorr: {autocorr:.3f})") | ||
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| # Volatility analysis | ||
| revenue_volatility = np.std(revenues) / np.mean(revenues) if np.mean(revenues) > 0 else float('inf') |
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If np.mean(revenues) == 0, this will return inf which could propagate through calculations.. may want to return a neutral score instead
Avi-141
reviewed
Jan 5, 2026
| # Calculate autocorrelation (pattern persistence) | ||
| revenue_changes = [revenues[i] - revenues[i+1] for i in range(len(revenues)-1)] | ||
| if len(revenue_changes) >= 3: | ||
| autocorr = np.corrcoef(revenue_changes[:-1], revenue_changes[1:])[0,1] if len(revenue_changes) > 2 else 0 |
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np.corrcoef() can return NaN when standard deviation is zero
autocorr = np.corrcoef(revenue_changes[:-1], revenue_changes[1:])[0,1]
if np.isnan(autocorr):
autocorr = 0
Avi-141
suggested changes
Jan 5, 2026
Avi-141
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Avi-141
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Comments to avoid incorrect behaviours.
Contributor
Author
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Will fix it asap thank you for pointing out. |
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Jim Simons Agent the Quant King