Kiril Antevski developed and maintained robust risk management and sports analytics features for the thales-markets/sports-markets-v2-risk-management repository over 13 months. He engineered CSV-driven policy and data configuration systems, enabling automated enforcement of risk thresholds and streamlined data ingestion for sports markets. Using Python, Shell scripting, and Docker, Kiril delivered automated bots, load testing frameworks, and data validation pipelines that improved operational efficiency and data integrity. His work included expanding sports data coverage, refining resolver logic, and standardizing configuration management, resulting in more reliable risk controls and analytics. The depth of his contributions ensured maintainable, auditable, and scalable backend systems.
Month: 2026-03. Delivered Sports Data Coverage Expansion and Management for Risk Management and Betting Analytics. Expanded data sources and enabled sports coverage, updated sgp_enabled_sports.csv, and extended the sports ID resolver to include PlusLiga (Poland). This work improves risk scoring accuracy, enriches analytics workflows, and enables more robust betting analytics across additional leagues.
Month: 2026-03. Delivered Sports Data Coverage Expansion and Management for Risk Management and Betting Analytics. Expanded data sources and enabled sports coverage, updated sgp_enabled_sports.csv, and extended the sports ID resolver to include PlusLiga (Poland). This work improves risk scoring accuracy, enriches analytics workflows, and enables more robust betting analytics across additional leagues.
February 2026: Expanded data coverage and data pipeline reliability for risk management datasets in thales-markets/sports-markets-v2-risk-management, enabling broader market validation and faster decision making. Delivered multi-dataset enhancements (final-score validation, sport IDs, and bot/config data) and a targeted bug fix to improve request routing performance. Set groundwork for upcoming market launches and analytics improvements.
February 2026: Expanded data coverage and data pipeline reliability for risk management datasets in thales-markets/sports-markets-v2-risk-management, enabling broader market validation and faster decision making. Delivered multi-dataset enhancements (final-score validation, sport IDs, and bot/config data) and a targeted bug fix to improve request routing performance. Set groundwork for upcoming market launches and analytics improvements.
Concise monthly summary for 2026-01 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for thales-markets/sports-markets-v2-risk-management. The work this month centered on expanding data coverage for multiple sports and refining final score validation data to strengthen risk controls and data governance. These changes enhance data accessibility for users, improve accuracy of risk calculations, and support broader regulatory and regional checks.
Concise monthly summary for 2026-01 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for thales-markets/sports-markets-v2-risk-management. The work this month centered on expanding data coverage for multiple sports and refining final score validation data to strengthen risk controls and data governance. These changes enhance data accessibility for users, improve accuracy of risk calculations, and support broader regulatory and regional checks.
December 2025: Focused on expanding data coverage and improving ID-resolution performance in the risk-management platform. Delivered two features with extensive CSV-driven data updates and resolver enhancements, aligning data with business needs and risk controls. No major bugs reported; quality improvements achieved through dataset hygiene and explicit deprecation cleanup. Business value: faster risk assessment, broader coverage across leagues and esports, and more reliable data for decision-making.
December 2025: Focused on expanding data coverage and improving ID-resolution performance in the risk-management platform. Delivered two features with extensive CSV-driven data updates and resolver enhancements, aligning data with business needs and risk controls. No major bugs reported; quality improvements achieved through dataset hygiene and explicit deprecation cleanup. Business value: faster risk assessment, broader coverage across leagues and esports, and more reliable data for decision-making.
November 2025 monthly summary: Delivered a new CSV-based soccer data scraping capability in the risk-management module to support enhanced sports analytics. Created soccer_detail_scrape.csv to standardize data ingestion for soccer data scraping. This enables richer analytics, faster iteration, and better risk assessment aligned with analytics roadmap. No major bugs reported this month. Repo: thales-markets/sports-markets-v2-risk-management. Key technologies demonstrated include CSV handling, data scraping pipelines, version control, and data standardization.
November 2025 monthly summary: Delivered a new CSV-based soccer data scraping capability in the risk-management module to support enhanced sports analytics. Created soccer_detail_scrape.csv to standardize data ingestion for soccer data scraping. This enables richer analytics, faster iteration, and better risk assessment aligned with analytics roadmap. No major bugs reported this month. Repo: thales-markets/sports-markets-v2-risk-management. Key technologies demonstrated include CSV handling, data scraping pipelines, version control, and data standardization.
Implemented a new load testing framework for GenLayer Studio and integrated it into the CI pipeline to validate performance under simulated load. This work focuses on end-to-end testing of deployments, reads, and RPC endpoints, delivering increased stability, reliability, and faster feedback loops for performance-related issues.
Implemented a new load testing framework for GenLayer Studio and integrated it into the CI pipeline to validate performance under simulated load. This work focuses on end-to-end testing of deployments, reads, and RPC endpoints, delivering increased stability, reliability, and faster feedback loops for performance-related issues.
May 2025 monthly summary: Focused on reliability and consistency in market resolution timing within thales-markets/sports-markets-v2-risk-management. Delivered standardization of market resolution timeouts, aligning default timeoutSeconds to 300 and ppTimeoutSeconds to 420 across multiple sports/leagues, reducing timeout variance and improving risk assessment and user experience. The change is backed by a single commit that updates defaults.
May 2025 monthly summary: Focused on reliability and consistency in market resolution timing within thales-markets/sports-markets-v2-risk-management. Delivered standardization of market resolution timeouts, aligning default timeoutSeconds to 300 and ppTimeoutSeconds to 420 across multiple sports/leagues, reducing timeout variance and improving risk assessment and user experience. The change is backed by a single commit that updates defaults.
Concise monthly summary for 2025-04 covering the thales-markets/sports-markets-v2-risk-management effort. Focused on resolver timeout configuration adjustments to balance risk coverage with responsiveness. Implemented through updates to resolver_delayResolve.csv, reducing resolution timeout from 600s to 300s for all listed sports/events and increasing timeout from 300s to 420s for all listed sports/leagues to optimize risk management timing.
Concise monthly summary for 2025-04 covering the thales-markets/sports-markets-v2-risk-management effort. Focused on resolver timeout configuration adjustments to balance risk coverage with responsiveness. Implemented through updates to resolver_delayResolve.csv, reducing resolution timeout from 600s to 300s for all listed sports/events and increasing timeout from 300s to 420s for all listed sports/leagues to optimize risk management timing.
March 2025 performance summary for thales-markets/sports-markets-v2-risk-management. Focused on delivering a CSV-based Resolver Delay Resolution configuration to control sport market outcome delays, with migration, iterative enhancements, and tuning to improve risk control and market responsiveness. No discrete bug fixes identified in this scope; stabilization achieved through configuration migrations and maintainability improvements. This work strengthens data-driven risk settings, reduces misconfigurations, and ensures an auditable, version-controlled approach to risk management settings.
March 2025 performance summary for thales-markets/sports-markets-v2-risk-management. Focused on delivering a CSV-based Resolver Delay Resolution configuration to control sport market outcome delays, with migration, iterative enhancements, and tuning to improve risk control and market responsiveness. No discrete bug fixes identified in this scope; stabilization achieved through configuration migrations and maintainability improvements. This work strengthens data-driven risk settings, reduces misconfigurations, and ensures an auditable, version-controlled approach to risk management settings.
February 2025 — Thales Markets, Sports Markets v2 Risk Management: Delivered automation for collateral-aware pricing and expanded live market coverage through data updates and bot configuration. Implemented a new overtime price updater bot with a collateral-reflective rename and tuned configuration; refreshed related bot data and parameters. Updated live-markets-map.csv to standardize innings, adjust odds/probabilities, broaden MLB/NBA markets, and included targeted test data. These changes improve pricing accuracy, market availability, and data consistency, enabling faster, data-driven risk assessment and sharper decision support for traders and risk managers.
February 2025 — Thales Markets, Sports Markets v2 Risk Management: Delivered automation for collateral-aware pricing and expanded live market coverage through data updates and bot configuration. Implemented a new overtime price updater bot with a collateral-reflective rename and tuned configuration; refreshed related bot data and parameters. Updated live-markets-map.csv to standardize innings, adjust odds/probabilities, broaden MLB/NBA markets, and included targeted test data. These changes improve pricing accuracy, market availability, and data consistency, enabling faster, data-driven risk assessment and sharper decision support for traders and risk managers.
In January 2025, delivered a data-quality focused update to the overtime resolver bot configuration in the thales-markets/sports-markets-v2-risk-management repo, improving data accuracy for risk management and reporting workflows.
In January 2025, delivered a data-quality focused update to the overtime resolver bot configuration in the thales-markets/sports-markets-v2-risk-management repo, improving data accuracy for risk management and reporting workflows.
December 2024 monthly summary for thales-markets/sports-markets-v2-risk-management. Focused on delivering a data-driven risk management configuration and policy enforcement for sports markets. Key work includes creating and iterating risk config files via CSV-based rules, enabling faster policy iteration and clearer enforcement across the product. Summary of outcomes: - Primary features delivered: Risk Blocker Values Configuration (resolve-blocker-values.csv) with iterative updates across seven commits to configure risk blocking rules and metrics (buy-in, payout, capital multipliers, filtering, minimum spend, exclusions, and ticket size). - Policy refinement: Risk Blocker Policy Refinement (resolve-blocker-policy.csv) to tighten blocking rules, spending caps, and bet thresholds for improved enforcement and clarity. - Commits and traceability: 402288ba021b6987f33ba3c8954e97acf3cf0816; 1e4e84d4066b6a2f854b1a86bd3502839416f551; b309711fc682531b89595ff626d0902aea9ac704; 1ebe0a2b3fa66388b8c07205a323571bab17782e; 23aaa26d65f95117bb0c9b7b1ad9944ef0c55af2; 1e312f43380ae197dfb8c705a0778e26a7d3ff71; 29c99f30e22a63ed63c1f1d80a3da4c1ac08d319; d3ae7b548eb5105e163406e69d3e864324908828. Impact: - Strengthened risk enforcement with a maintainable, CSV-driven configuration, enabling faster policy iteration and clearer enforcement across sports markets. - Potential reduction in improper risk exposure due to more precise blocker and policy rules. Technologies/skills demonstrated: - CSV-based rule configuration and data-driven risk management - Version-controlled change history and traceability - Pattern recognition for risk metrics and policy enforcement
December 2024 monthly summary for thales-markets/sports-markets-v2-risk-management. Focused on delivering a data-driven risk management configuration and policy enforcement for sports markets. Key work includes creating and iterating risk config files via CSV-based rules, enabling faster policy iteration and clearer enforcement across the product. Summary of outcomes: - Primary features delivered: Risk Blocker Values Configuration (resolve-blocker-values.csv) with iterative updates across seven commits to configure risk blocking rules and metrics (buy-in, payout, capital multipliers, filtering, minimum spend, exclusions, and ticket size). - Policy refinement: Risk Blocker Policy Refinement (resolve-blocker-policy.csv) to tighten blocking rules, spending caps, and bet thresholds for improved enforcement and clarity. - Commits and traceability: 402288ba021b6987f33ba3c8954e97acf3cf0816; 1e4e84d4066b6a2f854b1a86bd3502839416f551; b309711fc682531b89595ff626d0902aea9ac704; 1ebe0a2b3fa66388b8c07205a323571bab17782e; 23aaa26d65f95117bb0c9b7b1ad9944ef0c55af2; 1e312f43380ae197dfb8c705a0778e26a7d3ff71; 29c99f30e22a63ed63c1f1d80a3da4c1ac08d319; d3ae7b548eb5105e163406e69d3e864324908828. Impact: - Strengthened risk enforcement with a maintainable, CSV-driven configuration, enabling faster policy iteration and clearer enforcement across sports markets. - Potential reduction in improper risk exposure due to more precise blocker and policy rules. Technologies/skills demonstrated: - CSV-based rule configuration and data-driven risk management - Version-controlled change history and traceability - Pattern recognition for risk metrics and policy enforcement
November 2024—thales-markets/sports-markets-v2-risk-management: Delivered a policy-driven automation feature by introducing resolve-blocker-policy.csv to define rules for automatically blocking games that exceed defined risk thresholds (e.g., total spent, live bets, ticket buy-ins/payouts). The work encompassed initial implementation and several follow-up commits to refine rule descriptions and fix typos for clearer policy guidance, improving maintainability and governance. No major defects were closed this month in this repository; activity focused on policy documentation quality and rule clarity. This work establishes a robust foundation for automated risk enforcement, enabling quicker, data-driven decisions and stronger risk controls with reduced manual intervention. Key impact: reduces manual monitoring effort, enhances compliance with risk policies, and supports safer portfolio management by codifying risk thresholds into a measurable, auditable CSV policy. Technologies/skills demonstrated: data-driven policy configuration via CSV, risk parameter modeling, disciplined version control and change management, policy documentation hygiene, and cross-functional collaboration to improve risk governance.
November 2024—thales-markets/sports-markets-v2-risk-management: Delivered a policy-driven automation feature by introducing resolve-blocker-policy.csv to define rules for automatically blocking games that exceed defined risk thresholds (e.g., total spent, live bets, ticket buy-ins/payouts). The work encompassed initial implementation and several follow-up commits to refine rule descriptions and fix typos for clearer policy guidance, improving maintainability and governance. No major defects were closed this month in this repository; activity focused on policy documentation quality and rule clarity. This work establishes a robust foundation for automated risk enforcement, enabling quicker, data-driven decisions and stronger risk controls with reduced manual intervention. Key impact: reduces manual monitoring effort, enhances compliance with risk policies, and supports safer portfolio management by codifying risk thresholds into a measurable, auditable CSV policy. Technologies/skills demonstrated: data-driven policy configuration via CSV, risk parameter modeling, disciplined version control and change management, policy documentation hygiene, and cross-functional collaboration to improve risk governance.
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