🗣️ Query Brazilian treasury bond data with natural language
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Feb 14, 2026 - TypeScript
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treasury-bonds
Here are 9 public repositories matching this topic...
Kotlin/Ktor API for deterministic valuation of Polish ten-year EDO treasury bonds and inflation calculations using GUS data.
kotlin docker finance openapi self-hosted poland gus inflation bonds ktor edo treasury-bonds government-bonds obligacje
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Sep 3, 2026 - Kotlin
Home Assistant integration for tracking Polish Treasury Bonds: calculates value, interest, profit/loss, and maturity dates.
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Jul 8, 2026 - Python
Self-hosted portfolio tracker with transaction-based accounting, allocation, performance, benchmarks, ETF and Polish EDO support.
react kotlin docker personal-finance typescript pwa sqlite self-hosted bogleheads ktor portfolio-management portfolio-tracker treasury-bonds investment-tracker
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Sep 4, 2026 - Kotlin
Tool for comparing profitability of treasury bonds
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Dec 26, 2022 - TypeScript
An MCP server exposing U.S. Treasury historical prices and TIPS valuation as tools and resources.
python api finance tips bonds treasury fixed-income treasury-bonds model-context-protocol mcp-server
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May 6, 2026 - Python
Fixed Income Investing analysis with Python
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Feb 24, 2023 - Jupyter Notebook
End-to-End Python implementation of Liu & Cheng's (2026) methodology for U.S. Treasury yield curve forecasting. Combines Factor-Augmented Dynamic Nelson-Siegel models, High-Dimensional Random Forests, and Distributionally Robust Optimization (DRO) for risk-aware ensemble forecasting under ambiguity.
python machine-learning random-forest reproducible-research econometrics scipy ensemble-learning quantitative-finance principal-component-analysis fixed-income risk-management time-series-analysis financial-modeling nelson-siegel-model shap-values forecast-combination treasury-bonds distributionally-robust-optimization structural-breaks yield-curve-forecasting
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Jan 11, 2026 - Jupyter Notebook
📈 Forecast U.S. Treasury yield curves with a robust machine learning approach, enhancing accuracy and decision-making in finance.
python machine-learning random-forest econometrics scipy principal-component-analysis fixed-income term-structure-models financial-modeling nelson-siegel-model vasicek-model forecast-combination short-rates heath-jarrow-morton treasury-bonds distributionally-robust-optimization structural-breaks
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Sep 4, 2026 - Assembly
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