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1. multi_agent_system_architecture_for_federal_funds_target_rate_prediction multi_agent_system_architecture_for_federal_funds_target_rate_prediction Public

   End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft re…

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2. strapsim_portfolio_similarity_metric strapsim_portfolio_similarity_metric Public

   End-to-End Python implementation of STRAPSim: a novel portfolio similarity metric from Li et al. (2025). Combines Random Forest proximity learning with residual-aware bipartite matching to quantify…

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3. identifying_quantifying_financial_bubbles_hyped_log_period_power_law identifying_quantifying_financial_bubbles_hyped_log_period_power_law Public

   An end-to-end Python implementation of Cao et al.'s (2025) HLPPL methodology for the identification of financial (asset price) bubbles. Implements 7-parameter Log-Periodic Power Law model fitting, …

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4. trade_political_distance_wto trade_political_distance_wto Public

   End-to-End Python econometric pipeline for modeling geopolitical risk in international trade using advanced Bayesian filtering, high-dimensional fixed effects, and split-panel jackknife inference. …

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5. compact_prompt_unified_pipeline_prompt_data_compression_LLM_workflows compact_prompt_unified_pipeline_prompt_data_compression_LLM_workflows Public

   End-to-End Python implementation of CompactPrompt (Choi et al., 2025): a unified pipeline for LLM prompt and data compression. Features modular compression pipeline with dependency-driven phrase pr…

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6. taming_tail_risk_in_financial_markets taming_tail_risk_in_financial_markets Public

   End-to-End Python implementation of Regime-Weighted Conformal (RWC) prediction for sequential VaR control in nonstationary financial markets (Schmitt, 2026). Combines kernel-based regime similarity…

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