Fetch and analyze TCMB EVDS time series with statistics, forecasts, and Plotly charts.
npx skills add https://github.com/orhoncan/evds-analiz-skill --skill evds-analiz
Please help me install this Agent Skill. Skill: evds-analiz Source: https://github.com/orhoncan/evds-analiz-skill/tree/main Command: npx skills add https://github.com/orhoncan/evds-analiz-skill --skill evds-analiz
This Skill removes friction from retrieving, parsing, and analyzing Turkish central bank (TCMB) EVDS time series by handling the EVDS3 path-based API format, date parsing quirks, and common data-quality issues so users can get clean, analysis-ready series quickly.
Use the skill to fetch TP.FG.J0 (TÜFE) from 01-01-2018 to 31-12-2024 with your API key and return descriptive statistics, an ARIMA forecast for 12 periods, and an interactive Plotly HTML chart.
High-intent search queries and answers about installing and using this skill.
To fetch and analyze TCMB EVDS time series data, you use EVDS3 path-based endpoints with an API key sent in request headers, returning cleaned pandas DataFrames ready for analysis. The process handles date parsing quirks and data-quality issues automatically.
Yes, you can run ARIMA and VAR forecasting on Turkish macroeconomic data such as CPI, FX rates, and policy rates. The analytical toolbox supports ARIMA/SARIMA and VAR modeling directly on the fetched EVDS series for multi-period predictions.
You need a valid TCMB EVDS API key to access the EVDS3 endpoints, which must be sent securely in the request headers. This key authenticates your session to retrieve single or multiple economic time series.
The best way to visualize multiple economic time series with different frequencies is applying frequency alignment and resampling, then generating interactive Plotly HTML charts. This handles daily, weekly, monthly, and quarterly EVDS date formats seamlessly.
You export cleaned EVDS data and statistical results by generating CSV exports and interactive Plotly HTML dashboards. This allows you to save descriptive statistics, correlation matrices, and regression outputs for external reporting.
Your EVDS time series fetch may fail due to HTTP errors or parsing issues when querying multiple series with mismatched date formats. The process includes built-in error handling for EVDS3 endpoints to manage these parsing quirks.
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