{"version":1,"pages":[{"id":"gKZU2vWVMpl4Y6AIhUS4","title":"Data & Screens","pathname":"/","siteSpaceId":"sitesp_CHjHf","description":""},{"id":"Wf6CQhj2PZeR5TNnsAtt","title":"Quick Start","pathname":"/get-started/quickstart","siteSpaceId":"sitesp_CHjHf","emoji":"1f680","description":"","breadcrumbs":[{"label":"GET STARTED"}]},{"id":"WPMI4FGY5q1sz4DtESh5","title":"Tutorials","pathname":"/get-started/tutorials","siteSpaceId":"sitesp_CHjHf","emoji":"2b50","description":"Here are markdown tables with links to the Google Colab, GitHub notebooks, and Jupyter Lab for each tutorial.","breadcrumbs":[{"label":"GET STARTED"}]},{"id":"7hH3w6OK8S1OmX3qsXPH","title":"Installation","pathname":"/get-started/installation","siteSpaceId":"sitesp_CHjHf","emoji":"1f4bb","description":"","breadcrumbs":[{"label":"GET STARTED"}]},{"id":"CmQpzXBQg4nRrWIYmlRP","title":"Release Notes","pathname":"/get-started/release-notes","siteSpaceId":"sitesp_CHjHf","emoji":"2692","description":"This page shows release notes >= 0.0","breadcrumbs":[{"label":"GET STARTED"}]},{"id":"gyTghiZZyGTF929NBdR2","title":"About","pathname":"/get-started/about","siteSpaceId":"sitesp_CHjHf","emoji":"1f518","description":"","breadcrumbs":[{"label":"GET STARTED"}]},{"id":"0FXcnqyiDQQEvhHnjV87","title":"Equity Datasets","pathname":"/realtime-datasets/equity-datasets","siteSpaceId":"sitesp_CHjHf","description":"","breadcrumbs":[{"label":"REALTIME DATASETS"}]},{"id":"hw6eCrME4jp3KOaPsf3Z","title":"Accounting Data","pathname":"/realtime-datasets/equity-datasets/accounting-data","siteSpaceId":"sitesp_CHjHf","icon":"abacus","description":"Standardized financial accounting data across multiple US publicly traded firms.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"3HNt16gNnv02HASzpOSh","title":"Bankruptcy Predictions","pathname":"/realtime-datasets/equity-datasets/bankruptcy-predictions","siteSpaceId":"sitesp_CHjHf","icon":"seal-exclamation","description":"Chapter 7 and Chapter 11 bankruptcy predictions made easy for over 5,000 US publicly traded stocks.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"PDL7dOQD2LTmadYTxTVe","title":"Employee Visa","pathname":"/realtime-datasets/equity-datasets/employee-visa","siteSpaceId":"sitesp_CHjHf","icon":"users-between-lines","description":"The H1B dataset offers quarterly insights into foreign hiring trends, job details, and wages for informed decision-making.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"OAXNXvg3zXhNcNy1QcJC","title":"Earnings Surprise","pathname":"/realtime-datasets/equity-datasets/earnings-surprise","siteSpaceId":"sitesp_CHjHf","icon":"users-between-lines","description":"Earnings announcements are obtained from external sources as well as estimate information leading up to the actual announcement.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"PVpeHytipZpaTPdZx5xc","title":"Congressional Data","pathname":"/realtime-datasets/equity-datasets/congressional-data","siteSpaceId":"sitesp_CHjHf","icon":"users-between-lines","description":"From filings we collect and match trades in the Senate and House and make them available within a day of processing.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"2ox6tZHPXtYdvVIo0pMS","title":"Factor Signals","pathname":"/realtime-datasets/equity-datasets/factor-signals","siteSpaceId":"sitesp_CHjHf","icon":"wave-square","description":"A financial factor dataset for in-depth company analysis and investment strategies.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"GUboqYJugNGTK48tM7Gw","title":"Financial Ratios","pathname":"/realtime-datasets/equity-datasets/financial-ratios","siteSpaceId":"sitesp_CHjHf","icon":"percent","description":"More than 80+ financial ratios calculated from financial statement and market data.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"FsqOuEM0Im25X4RfQwAj","title":"Government Contracts","pathname":"/realtime-datasets/equity-datasets/government-contracts","siteSpaceId":"sitesp_CHjHf","icon":"file-signature","description":"The government spending data provides comprehensive information about government contracts, transactions, product specifications, entity details, locations, competition, and compensation.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"RksrWVRuJTA9hFnbyzHr","title":"Institutional Trading","pathname":"/realtime-datasets/equity-datasets/institutional-trading","siteSpaceId":"sitesp_CHjHf","icon":"piano-keyboard","description":"The dataset provides a comprehensive analysis of institutional investment behaviors, strategies, and portfolio dynamics assist professional investors in making informed decisions.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"hTiyCIx5uIPVXxjPH5RG","title":"Insider Flow Prediction","pathname":"/realtime-datasets/equity-datasets/insider-flow-prediction","siteSpaceId":"sitesp_CHjHf","icon":"user-ninja","description":"More than 60+ insider trading features helpful for machine learning, including a flow prediction value.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"3b8SpFkFZmbbMg0BM59Z","title":"Liquidity Data","pathname":"/realtime-datasets/equity-datasets/liquidity-data","siteSpaceId":"sitesp_CHjHf","icon":"water","description":"Various dataset that could help with the assesment of security liquidity to inform trading decisions.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"7BcXCoHwtbratbBV1h96","title":"Lobbying Data","pathname":"/realtime-datasets/equity-datasets/lobbying-data","siteSpaceId":"sitesp_CHjHf","icon":"microblog","description":"A ticker matched lobbying data to see fine-grained corporate lobbying behaviour.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"hfGLfRdrZnLu9uEGLkWp","title":"News Sentiment","pathname":"/realtime-datasets/equity-datasets/news-sentiment","siteSpaceId":"sitesp_CHjHf","icon":"newspaper","description":"Two types of news datasets have been developed, one is ticker-matched, and the next is theme-matched.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"xuzovxwvYnAAOHufEvaN","title":"Price Breakout","pathname":"/realtime-datasets/equity-datasets/price-breakout","siteSpaceId":"sitesp_CHjHf","icon":"chart-line-up","description":"A dataset with daily updated predictions of price breaking upwards for US Equities.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"FQxoOfhp2RFRcMUGVQ14","title":"Risk Indicators","pathname":"/realtime-datasets/equity-datasets/risk-indicators","siteSpaceId":"sitesp_CHjHf","icon":"shield-cross","description":"Here we develop three tables to develop a final score of corporate risk to US equities.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"MYu4yuTw4cj3XDm9FzmR","title":"SEC Edgar Search","pathname":"/realtime-datasets/equity-datasets/sec-edgar-search","siteSpaceId":"sitesp_CHjHf","icon":"building-lock","description":"State of the art notebook tools to designed to search, retrieve, and analyze financial data from the SEC's EDGAR database. This is a work-in-progress.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"UWDEsJttZmG9V26JZYpQ","title":"SEC 10K Filings","pathname":"/realtime-datasets/equity-datasets/sec-10k-filings","siteSpaceId":"sitesp_CHjHf","icon":"building-lock","description":"A very easily digestable dataframe format for all 10-K filings, with multiple sections, categories, and textual datapoints. This is not yet available, a work-in-progress.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"XzRh93kvrTUngI4GBlJv","title":"Short Selling","pathname":"/realtime-datasets/equity-datasets/short-selling","siteSpaceId":"sitesp_CHjHf","icon":"sort-down","description":"This section covers the usage of various short-selling datasets for risk analysis.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"p7NdK0ebyvWLVIZiNHSl","title":"Wikipedia Views","pathname":"/realtime-datasets/equity-datasets/wikipedia-views","siteSpaceId":"sitesp_CHjHf","icon":"wikipedia-w","description":"A look at some of the largest firms and their daily wikipedia page views and trends.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"YSzTi6TIcVJBK4TFLs7x","title":"Patents Data","pathname":"/realtime-datasets/equity-datasets/patents-data","siteSpaceId":"sitesp_CHjHf","icon":"brackets-square","description":"","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Equity Datasets"}]},{"id":"2Zngt2xA0dmQ6FligMgL","title":"Economic Datasets","pathname":"/realtime-datasets/economic-datasets","siteSpaceId":"sitesp_CHjHf","description":"","breadcrumbs":[{"label":"REALTIME DATASETS"}]},{"id":"gMGzcioTaeIBv9N1RRuq","title":"Asset Rotation","pathname":"/realtime-datasets/economic-datasets/asset-rotation","siteSpaceId":"sitesp_CHjHf","icon":"rotate","description":"This dataset provides historical and forecasted risk-parity asset allocation data for investors for five asset classes.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Economic Datasets"}]},{"id":"2zmHaUrw1Py4Yn061LYY","title":"Core Economic Data","pathname":"/realtime-datasets/economic-datasets/core-economic-data","siteSpaceId":"sitesp_CHjHf","icon":"apartment","description":"Developed a core economic dataset that explain more than 90% of the variability in most economic outcomes. Forthcoming, December 2025","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Economic Datasets"}]},{"id":"auvjzntXzPyDivWkFfKY","title":"ETF Flows","pathname":"/realtime-datasets/economic-datasets/etf-flows","siteSpaceId":"sitesp_CHjHf","icon":"stackpath","description":"Forthcoming, December 2025","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Economic Datasets"}]},{"id":"bL4RfcY9ltnuzBVX3m1c","title":"Government Traffic","pathname":"/realtime-datasets/economic-datasets/government-traffic","siteSpaceId":"sitesp_CHjHf","icon":"traffic-light-slow","description":"This dataset provides insights into web traffic patterns for various U.S. government agencies and domains.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Economic Datasets"}]},{"id":"4aCpZmHKJlfNXSNBSoCq","title":"Turing Risk Index","pathname":"/realtime-datasets/economic-datasets/turing-risk-index","siteSpaceId":"sitesp_CHjHf","emoji":"1f3f3","description":"Use this indicator to understand the trajectory of global risks as perceived by investors. Here we supply the raw data, you might find it more favorable to use the dashboard.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Economic Datasets"}]},{"id":"nC0YN8dwi8DfphPpWHKx","title":"Sectorial Datasets","pathname":"/realtime-datasets/sectorial-datasets","siteSpaceId":"sitesp_CHjHf","description":"","breadcrumbs":[{"label":"REALTIME DATASETS"}]},{"id":"CS8SKJ0ENM8nQRH7RqKm","title":"Airbnb Data","pathname":"/realtime-datasets/sectorial-datasets/airbnb-data","siteSpaceId":"sitesp_CHjHf","icon":"house","description":"Scraped Airbnb data (Real-time)","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Sectorial Datasets"}]},{"id":"2geB6K8f48LYO3n6P8zE","title":"Box Office Stats","pathname":"/realtime-datasets/sectorial-datasets/box-office-stats","siteSpaceId":"sitesp_CHjHf","icon":"camera-movie","description":"This dataset contains information about movie producers, their movies, and the corresponding box office performance.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Sectorial Datasets"}]},{"id":"JVWRaQgdoKNa6jz0YCLk","title":"CFPB Complaints","pathname":"/realtime-datasets/sectorial-datasets/cfpb-complaints","siteSpaceId":"sitesp_CHjHf","icon":"star-sharp-half-stroke","description":"This section covers the usage of the Consumer Financial Complaint ticker-mapped dataset.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Sectorial Datasets"}]},{"id":"RwbooRP0L7RVLlzAHeeE","title":"Pharma Clinical Trials","pathname":"/realtime-datasets/sectorial-datasets/phrama-clinical-trials","siteSpaceId":"sitesp_CHjHf","icon":"prescription","description":"This section covers a very unique dataset that tags clinical trials with their predicted outcome success.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Sectorial Datasets"}]},{"id":"rYZgN5hYmWfEP3TRsp2d","title":"Request Datasets","pathname":"/realtime-datasets/sectorial-datasets/request-datasets","siteSpaceId":"sitesp_CHjHf","icon":"magnifying-glass-chart","description":"How to request the development of new datasets for the SovAI SDK.","breadcrumbs":[{"label":"REALTIME DATASETS"},{"label":"Sectorial Datasets"}]},{"id":"pHTPCUqIjC24iNndTYiJ","title":"Signal Evaluation","pathname":"/asset-managment/signal-evaluation","siteSpaceId":"sitesp_CHjHf","icon":"wave-triangle","description":"This module provides a wide array of analytical tools and visualizations to help quantitative analysts and portfolio managers evaluate the quality, consistency, and robustness of their alpha signals.","breadcrumbs":[{"label":"Asset Managment"}]},{"id":"qohhjbKsltRfKkZBrzoJ","title":"Weight Optimization","pathname":"/asset-managment/weight-optimization","siteSpaceId":"sitesp_CHjHf","icon":"scale-unbalanced","description":"This module provides a comprehensive set of tools for portfolio managers and quantitative analysts to optimize asset allocation strategies and evaluate their performance.","breadcrumbs":[{"label":"Asset Managment"}]},{"id":"yBqVORhaT6l1TI49dZSl","title":"Screens and Filters","pathname":"/asset-managment/screens-and-filters","siteSpaceId":"sitesp_CHjHf","icon":"filter-circle-dollar","description":"This module allows users to apply various filters and screens to a comprehensive dataset of financial and market factors.","breadcrumbs":[{"label":"Asset Managment"}]},{"id":"3ovGc1ozpkpgMflvtBC8","title":"Pairwise Distance","pathname":"/pattern-recognition/pairwise-distance","siteSpaceId":"sitesp_CHjHf","icon":"people-arrows","description":"Pairwise statistics for distance and similarity between stocks in cross-section, time-series, and panel orientations.","breadcrumbs":[{"label":"Pattern Recognition"}]},{"id":"0ySNd2YW2VEHjVMwwe0h","title":"Anomaly Detection","pathname":"/pattern-recognition/anomaly-detection","siteSpaceId":"sitesp_CHjHf","icon":"chart-scatter","description":"It provides methods to detect global, local, and cluster anomalies in multivariate financial data","breadcrumbs":[{"label":"Pattern Recognition"}]},{"id":"06ZOvpSsS1O6rP6YoLAm","title":"Clustering Panels","pathname":"/pattern-recognition/clustering-panels","siteSpaceId":"sitesp_CHjHf","icon":"circle-nodes","description":"Clustering specifically designed for multivariate panel clustering of financial and time-series data","breadcrumbs":[{"label":"Pattern Recognition"}]},{"id":"LuP9c1BF2ma1wT7crKBJ","title":"Extract Features","pathname":"/feature-processing/extract-features","siteSpaceId":"sitesp_CHjHf","icon":"calculator-simple","description":"The feature extractor module generates features that can be categorized into several types based on the nature of the calculations.","breadcrumbs":[{"label":"Feature Processing"}]},{"id":"1Zpej624Eo6ro6AB6UMh","title":"Neutralize Features","pathname":"/feature-processing/neutralize-features","siteSpaceId":"sitesp_CHjHf","icon":"angle-90","description":"The feature extractor module generates features that can be categorized into several types based on the nature of the calculations.","breadcrumbs":[{"label":"Feature Processing"}]},{"id":"591Qnegnro1QW79KPIq4","title":"Select Features","pathname":"/feature-processing/select-features","siteSpaceId":"sitesp_CHjHf","icon":"square-dashed-circle-plus","description":"The feature selection module in the sovai library provides various methods to identify and select the most important features from financial datasets.","breadcrumbs":[{"label":"Feature Processing"}]},{"id":"IU55yoSzTvLPdEFO8BOi","title":"Dimensionality Reduction","pathname":"/feature-processing/dimensionality-reduction","siteSpaceId":"sitesp_CHjHf","icon":"reflect-horizontal","description":"Implements multiple reduction techniques including PCA, SVD, Factor Analysis, Gaussian Random Projection, and UMAP.","breadcrumbs":[{"label":"Feature Processing"}]},{"id":"rLUBAzoTrd1xXYHTHlo7","title":"Feature Importance","pathname":"/feature-processing/feature-importance","siteSpaceId":"sitesp_CHjHf","icon":"ranking-star","description":"The feature importance module in the sovai library offers multiple unsupervised algorithms to quantify the significance of each feature in financial datasets.","breadcrumbs":[{"label":"Feature Processing"}]},{"id":"aUx0GrOqC8iLmmD6sDTI","title":"Nowcasting Series","pathname":"/time-series/nowcasting-series","siteSpaceId":"sitesp_CHjHf","icon":"chart-mixed","description":"This module provides functionality for nowcasting financial data using a Multi-Frequency Long-term and Event-based forecasting method.","breadcrumbs":[{"label":"Time Series"}]},{"id":"Xwxo1czlMTm3v9GlaLSj","title":"TS Decomposition","pathname":"/time-series/institutional-1","siteSpaceId":"sitesp_CHjHf","icon":"bars-staggered","description":"This module provides powerful tools for analyzing financial time series data, offering insights that can be valuable for financial analysis, investment decision-making, and economic research.","breadcrumbs":[{"label":"Time Series"}]},{"id":"8nTgSXpcXDQfIYPGoYvx","title":"Time Segmentation","pathname":"/time-series/time-segmentation","siteSpaceId":"sitesp_CHjHf","icon":"roller-coaster","description":"Segments time series into different components according to statistical tests over the series. Helpful for understanding changes in regimes.","breadcrumbs":[{"label":"Time Series"}]},{"id":"tSev9YKOpxGi1CG1gh8B","title":"Bankruptcy Prediction","pathname":"/dashboard-examples/bankruptcy-prediction","siteSpaceId":"sitesp_CHjHf","emoji":"1f530","description":"Example of the type of dashboard that can be built using the underlying bankruptcy data. Get in touch to develop your own dashboard.","breadcrumbs":[{"label":"Dashboard Examples"}]},{"id":"WTnbAz2nTr7Q70aCsf5g","title":"Turing Risk Index","pathname":"/dashboard-examples/turing-risk-index","siteSpaceId":"sitesp_CHjHf","emoji":"1f6f0","description":"Example of the type of dashboard that can be built using the underlying turing risk data. Get in touch to develop your own dashboard.","breadcrumbs":[{"label":"Dashboard Examples"}]},{"id":"LMQWsSZuj7QxS9U61oIJ","title":"API Overview","pathname":"/api-reference/api-reference","siteSpaceId":"sitesp_CHjHf","icon":"code","description":"Complete API reference for the SovAI Python SDK, auto-generated from source code.","breadcrumbs":[{"label":"API Reference"}]},{"id":"8ToE5Spkgn4WmPftstyh","title":"sovai (Package)","pathname":"/api-reference/sovai","siteSpaceId":"sitesp_CHjHf","icon":"box","description":"Main SovAI SDK Tool Kit package","breadcrumbs":[{"label":"API Reference"}]},{"id":"oPUMHPqLeTFkiVvbkZSU","title":"Data Retrieval","pathname":"/api-reference/data","siteSpaceId":"sitesp_CHjHf","icon":"database","description":"API reference for sovai.get_data","breadcrumbs":[{"label":"API Reference"}]},{"id":"a3kDyaUKw8iThnErrdib","title":"Plotting","pathname":"/api-reference/plots","siteSpaceId":"sitesp_CHjHf","icon":"chart-line","description":"API reference for sovai.get_plots","breadcrumbs":[{"label":"API Reference"}]},{"id":"aq9ctouER6iknqCaEx16","title":"Reports","pathname":"/api-reference/reports","siteSpaceId":"sitesp_CHjHf","icon":"file-lines","description":"API reference for sovai.get_reports","breadcrumbs":[{"label":"API Reference"}]},{"id":"VXLdwb0MBVniSG0onr7t","title":"Compute","pathname":"/api-reference/compute","siteSpaceId":"sitesp_CHjHf","icon":"microchip","description":"API reference for sovai.get_compute","breadcrumbs":[{"label":"API Reference"}]},{"id":"T6AY27UqsGfJjtVrc2Sl","title":"Tools (SEC, Explain)","pathname":"/api-reference/tools","siteSpaceId":"sitesp_CHjHf","icon":"wrench","description":"API reference for sovai.get_tools","breadcrumbs":[{"label":"API Reference"}]},{"id":"7nojPxSioVjMNbhlmP4B","title":"API Config","pathname":"/api-reference/api-config","siteSpaceId":"sitesp_CHjHf","icon":"gear","description":"API reference for sovai.api_config","breadcrumbs":[{"label":"API Reference"}]},{"id":"JFmooDcuKd0a8IvdBc1V","title":"Basic Auth","pathname":"/api-reference/basic-auth","siteSpaceId":"sitesp_CHjHf","icon":"key","description":"API reference for sovai.basic_auth","breadcrumbs":[{"label":"API Reference"}]},{"id":"sSJOLpEFxNEBQx3wmyQG","title":"Token Auth","pathname":"/api-reference/token-auth","siteSpaceId":"sitesp_CHjHf","icon":"lock","description":"API reference for sovai.token_auth","breadcrumbs":[{"label":"API Reference"}]},{"id":"UmMQt0mMAkVwlryjFlPv","title":"Error Classes","pathname":"/api-reference/errors","siteSpaceId":"sitesp_CHjHf","icon":"triangle-exclamation","description":"API reference for sovai.errors.sovai_errors","breadcrumbs":[{"label":"API Reference"}]},{"id":"xBiP7AYCvpcDpxmAa1zh","title":"Extensions","pathname":"/api-reference/extensions","siteSpaceId":"sitesp_CHjHf","description":"DataFrame extensions for analytics, feature engineering, and signal evaluation.","breadcrumbs":[{"label":"API Reference"}]},{"id":"m9XMZcT4byAje62XPllY","title":"Anomalies","pathname":"/api-reference/extensions/anomalies","siteSpaceId":"sitesp_CHjHf","icon":"magnifying-glass-chart","description":"API reference for sovai.extensions.anomalies","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"gkBJepjvwJDfEerFwfSW","title":"Ask Df Llm","pathname":"/api-reference/extensions/ask-df-llm","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.ask_df_llm","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"0cnYUFl0MbIgSbAIo0K1","title":"Change Point Generator","pathname":"/api-reference/extensions/change-point-generator","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.change_point_generator","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"Zko002ivJZBmxq2kOKbF","title":"Chart Explainer","pathname":"/api-reference/extensions/chart-explainer","siteSpaceId":"sitesp_CHjHf","description":"Chart Explanation Module using Gemini via Ephemeral Token Broker","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"qTlfOmRUu8HO6QuIyOAc","title":"Clustering","pathname":"/api-reference/extensions/clustering","siteSpaceId":"sitesp_CHjHf","icon":"circle-nodes","description":"API reference for sovai.extensions.clustering","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"rEFwTLJOitZqrsKgN4Ul","title":"Core Kshape","pathname":"/api-reference/extensions/core-kshape","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.core_kshape","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"Ml5wdhgGPsGFokbswRnN","title":"Cusum","pathname":"/api-reference/extensions/cusum","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.cusum","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"DgDn9kqAI9sydqOYKdOt","title":"Dimensionality Reduction","pathname":"/api-reference/extensions/dimensionality-reduction","siteSpaceId":"sitesp_CHjHf","icon":"compress","description":"API reference for sovai.extensions.dimensionality_reduction","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"IzSCqKbNsRisOW3Kzm0r","title":"Feature Extraction","pathname":"/api-reference/extensions/feature-extraction","siteSpaceId":"sitesp_CHjHf","icon":"flask","description":"API reference for sovai.extensions.feature_extraction","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"IBeUX7eDurpcccOz2uZ8","title":"Feature Importance","pathname":"/api-reference/extensions/feature-importance","siteSpaceId":"sitesp_CHjHf","icon":"ranking-star","description":"API reference for sovai.extensions.feature_importance","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"9YWrnhLa6L8vuMHgYfHX","title":"Feature Neutralizer","pathname":"/api-reference/extensions/feature-neutralizer","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.feature_neutralizer","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"I5wUQiW9o1Oa2YIfJnoy","title":"Filter Df","pathname":"/api-reference/extensions/filter-df","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.filter_df","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"aT6elszbz925OTxe08HH","title":"Fractional Differencing","pathname":"/api-reference/extensions/fractional-differencing","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.fractional_differencing","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"Q2V0w4fVcdnY5zgTJffD","title":"Nowcasting","pathname":"/api-reference/extensions/nowcasting","siteSpaceId":"sitesp_CHjHf","icon":"chart-mixed","description":"API reference for sovai.extensions.nowcasting","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"ZNcw4Wb82mXnDoKnbGc0","title":"Overall Explainers","pathname":"/api-reference/extensions/overall-explainers","siteSpaceId":"sitesp_CHjHf","description":"Overall Explainers Module","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"vJj9Y4zieS6nV0mHB5X3","title":"Pairwise","pathname":"/api-reference/extensions/pairwise","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.pairwise","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"k8kZH9HPbAs34Ym5upg1","title":"Pandas Extensions","pathname":"/api-reference/extensions/pandas-extensions","siteSpaceId":"sitesp_CHjHf","icon":"table","description":"API reference for sovai.extensions.pandas_extensions","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"t8OeEkXh9ywUJqKzLcok","title":"Parallel Functions","pathname":"/api-reference/extensions/parallel-functions","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.parallel_functions","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"13PqTVeyin4yP3PubDnY","title":"Pfa Feature Selector","pathname":"/api-reference/extensions/pfa-feature-selector","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.pfa_feature_selector","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"4OzgJSM2vFdIZka2yrya","title":"Regime Change","pathname":"/api-reference/extensions/regime-change","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.regime_change","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"OWpi2e2HLQ6Lxv2oDACH","title":"Regime Change Pca","pathname":"/api-reference/extensions/regime-change-pca","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.regime_change_pca","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"uoRpkRG0vm3u65k6Z49X","title":"Shapley Global Importance","pathname":"/api-reference/extensions/shapley-global-importance","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.shapley_global_importance","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"IWyH6C2keP4CTBA8jig6","title":"Shapley Importance","pathname":"/api-reference/extensions/shapley-importance","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.shapley_importance","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"UvNXNvL7BeK9uSSnDaiX","title":"Signal Evaluation","pathname":"/api-reference/extensions/signal-evaluation","siteSpaceId":"sitesp_CHjHf","icon":"wave-triangle","description":"API reference for sovai.extensions.signal_evaluation","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"KwW621z82AVTTI3K3E3g","title":"Table Explainer","pathname":"/api-reference/extensions/table-explainer","siteSpaceId":"sitesp_CHjHf","description":"Table Explanation Module using Gemini via Ephemeral Token Broker","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"fBZ8NwamNicscl12LBZk","title":"Technical Indicators","pathname":"/api-reference/extensions/technical-indicators","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.technical_indicators","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"YJ3qVqBp3pdDHTWgTqAv","title":"Time Decomposition","pathname":"/api-reference/extensions/time-decomposition","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.extensions.time_decomposition","breadcrumbs":[{"label":"API Reference"},{"label":"Extensions"}]},{"id":"1ezJvFRFthvDwxWHI4G1","title":"Plot Library","pathname":"/api-reference/plots-1","siteSpaceId":"sitesp_CHjHf","description":"Pre-built visualization functions organized by dataset category.","breadcrumbs":[{"label":"API Reference"}]},{"id":"dIiBiUudIhBWfxeiO21d","title":"Accounting Plots","pathname":"/api-reference/plots-1/accounting-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.accounting.accounting_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"qV7hOq17c4DMk5ZCjxx9","title":"Bankruptcy Plots","pathname":"/api-reference/plots-1/bankruptcy-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.bankruptcy.bankruptcy_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"AZGPpPvT87EAuv624N2G","title":"Breakout Plots","pathname":"/api-reference/plots-1/breakout-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.breakout.breakout_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"1Xf3N5IXJ75rCCbnlr51","title":"Corp Risk Plots","pathname":"/api-reference/plots-1/corp-risk-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.corp_risk.corp_risk_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"XmwTuN47v75YJzkV7maO","title":"Insider Plots","pathname":"/api-reference/plots-1/insider-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.insider.insider_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"sgr4FTuPylzVsZdMTYXq","title":"Institutional Plots","pathname":"/api-reference/plots-1/institutional-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.institutional.institutional_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"6EXI6xAyR82Ud8H11TBM","title":"News Plots","pathname":"/api-reference/plots-1/news-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.news.news_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"Qamu2P0X7JBw9KtaLURE","title":"Ratios Plots","pathname":"/api-reference/plots-1/ratios-plots","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.plots.ratios.ratios_plots","breadcrumbs":[{"label":"API Reference"},{"label":"Plot Library"}]},{"id":"FQeRRHknIXsEjomZdxEX","title":"Utilities","pathname":"/api-reference/utils","siteSpaceId":"sitesp_CHjHf","description":"Internal utility functions for data loading, caching, and format conversion.","breadcrumbs":[{"label":"API Reference"}]},{"id":"Uu593fvjLHBJyol4KIrz","title":"Client Side","pathname":"/api-reference/utils/client-side","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.client_side","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"DCmEk3bADGI0dUyCv819","title":"Client Side S3","pathname":"/api-reference/utils/client-side-s3","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.client_side_s3","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"EfGJrqS9NMNZzfcFxin4","title":"Client Side S3 Part High","pathname":"/api-reference/utils/client-side-s3-part-high","siteSpaceId":"sitesp_CHjHf","description":"Advanced S3 Partitioned Data Loader","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"f99S1m4tO4VpoYyXQ3V0","title":"Converter","pathname":"/api-reference/utils/converter","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.converter","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"9TgMjcSzCTSTsUpJ3RSM","title":"File Management","pathname":"/api-reference/utils/file-management","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.file_management","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"L9xT2yGjbxYCxWk0TeZ8","title":"Get Tickers","pathname":"/api-reference/utils/get-tickers","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.get_tickers","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"YYYCLNk2XgtVjsLbYSTA","title":"Helpers","pathname":"/api-reference/utils/helpers","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.helpers","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"eaNU4msgHSR1hVGoIz42","title":"Plot","pathname":"/api-reference/utils/plot","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.plot","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"9Tza7K6xZ6vNabRdajZo","title":"Port Manager","pathname":"/api-reference/utils/port-manager","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.port_manager","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"35OH0nfs5cu07bhLBPkm","title":"Stream","pathname":"/api-reference/utils/stream","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.stream","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]},{"id":"4MrWb7mJwVgJ7ROyl1xC","title":"Verbose Utils","pathname":"/api-reference/utils/verbose-utils","siteSpaceId":"sitesp_CHjHf","description":"API reference for sovai.utils.verbose_utils","breadcrumbs":[{"label":"API Reference"},{"label":"Utilities"}]}]}