Retrieve real-time and historical OHLC financial data for Argentine markets via HTTP.
npx skills add https://github.com/gauss314/skills --skill data912
Please help me install this Agent Skill. Skill: data912 Source: https://github.com/gauss314/skills/tree/main/skills/data912 Command: npx skills add https://github.com/gauss314/skills --skill data912
This Skill solves the difficulty of accessing reliable, structured financial data for the Argentine market, including stocks, bonds, and CEDEARs, which is often fragmented or behind paywalls.
Use the data912 skill to download historical stock data for GGAL and PAMP into the data directory.
High-intent search queries and answers about installing and using this skill.
To download historical stock prices for Argentine market assets like CEDEARs, you make standard HTTP requests to the data912 API to retrieve historical Open-High-Low-Close series, then use pandas to structure and manipulate the downloaded data for analysis.
Yes, you can retrieve real-time quotes for MEP and CCL dollar rates using Python by sending standard HTTP requests via the requests library to the data912 API endpoints, which expose live pricing for Argentine dollars, stocks, and government bonds.
The best way to access structured financial data for Argentine bonds without a paid subscription is using this Skill, which bypasses fragmented and paywalled sources by providing programmatic API access to live quotes and historical OHLC series for instruments like AL30.
No paid account or proprietary API key is required to access the Argentine market data endpoints; the Skill relies on standard HTTP requests using the requests library and structures the output with pandas, facilitating quantitative analysis and automated reporting.
The types of financial instruments supported for historical OHLC analysis in the Argentine market include Argentine stocks, options, CEDEARs, and government bonds, allowing users to perform technical analysis and backtesting on retrieved price series.
Pandas integrates with the downloaded market data by structuring the raw OHLC series and live quotes returned from the HTTP requests into DataFrames, enabling you to immediately perform volatility analysis, backtesting, and build custom investment dashboards.
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gauss314Retrieve real-time and historical Argentine financial market data via the MAE public API.
