Machine Learning Predictive Financial Statement Anomaly Detector

Develop a sophisticated Python script using scikit-learn that performs anomaly detection on financial statements, automatically importing data from Excel/Sheets. The solution must implement multiple machine learning algorithms (isolation forest, local outlier factor), generate detailed reporting, and create a conditional formatting Google Sheets dashboard that highlights potential financial irregularities. Include robust feature engineering and explain the statistical significance of detected anomalies.