Oracle Submission Analysis

Contains a collection of analyses on Autonity Oracle submissions. These analyses explore various issues affecting the reliability, accuracy, and security of Oracle price data. Navigate through the different notebooks using the sidebar.

Analysis Overview

Examines critical issues in Oracle submissions from validators, focusing on data quality, reliability, synchronization, and potential security concerns. Each analysis includes detailed explanations, methods, findings, and supporting code.

Summary Reports

December 2024 Summary Report - Comprehensive analysis of December 2024 Oracle submissions data with key findings, notable validators, and standardized quality ratings.

January 2025 Summary Report - Comprehensive analysis of January 2025 Oracle submissions data with key findings, notable validators, and standardized quality ratings.

February 2025 Summary Report - Comprehensive analysis of February 2025 Oracle submissions data with key findings, notable validators, and standardized quality ratings.

March 2025 Summary Report - Comprehensive analysis of March 2025 Oracle submissions data with key findings, notable validators, and standardized quality ratings.

First Half Summary Report (December 2024 - March 2025) - Aggregated four-month analysis tracking trends and patterns in Oracle data submissions across ten issue areas, with quantitative metrics, validator performance statistics, and month-to-month comparisons.

Table of Contents

  1. Issue 1: Missing or Null Submissions - Analysis of validators with missing or null price submissions, including frequency patterns and impact on data aggregation.

  2. Issue 2: Irregular Submission Frequency - Investigation of validators with abnormal submission intervals, including extremely frequent or delayed submissions.

  3. Issue 3: Out-of-Range / Suspicious Values - Detection of abnormally large, zero, negative, or off-market price submissions compared to real FX data.

  4. Issue 4: Stale / Lagging Data - Analysis of validators submitting identical prices for prolonged periods or failing to update prices despite market changes.

  5. Issue 5: Confidence Value Anomalies - Examination of confidence metrics submitted alongside prices, focusing on fixed values and correlation with market volatility.

  6. Issue 6: Cross-Rate Inconsistency - Assessment of mathematical consistency between Autonity token prices (NTN-ATN * ATN-USD ≈ NTN-USD).

  7. Issue 7: Timing / Synchronization Issues - Analysis of timestamp disparities between validators, identifying those consistently submitting early or late.

  8. Issue 8: Weekend / Market Closure Effects - Investigation of validator behavior during weekend FX market closures and comparison with benchmark data.

  9. Issue 9: Vendor Downtime or API Rate-Limits - Detection of abrupt stoppages and zero-value submissions, particularly when occurring across multiple validators.

  10. Issue 10: Possible Security / Malicious Behavior - Investigation of potential collusion, Sybil attacks, or price manipulation patterns among validators.