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PyOBD - BYMA Market Data Library

Biblioteca Python para acceso a datos del mercado argentino vía BYMA Open Data API.

Compatible con la API de pyhomebroker para facilitar migración y uso conjunto.

Instalación

pip install PyOBD

Instalación desde GitHub (última versión en el repositorio):

pip install "git+https://github.com/franco-lamas/PyOBD.git"

Install from GitLab Package Registry (replace <GITLAB_URL> and <PROJECT_ID>):

pip install --index-url https://<GITLAB_URL>/api/v4/projects/<PROJECT_ID>/packages/pypi/simple PyOBD==0.3.0

Uso rápido

from pyobd import BymaData

client = BymaData()

# Cotización actual
quote = client.get_current_quote("GGAL", settlement="48HS")
print(quote)

# Datos históricos (compatible con pyhomebroker)
df = client.get_daily_history(
    symbol="GGAL",
    from_date="2026-01-01",
    to_date="2026-03-01",
)
print(df.head())

# Datos intradiarios (1-minuto)
idf = client.get_intraday_history("GGAL")
print(idf.head())

# Índices
indices = client.get_indices()
print(indices)

Métodos disponibles

(Nota: algunos nombres antiguos se mantienen con alias deprecados)

Método Descripción
get_market_time() Estado y horario del mercado
get_indices() Índices bursátiles
get_bluechips() Panel acciones líderes (blue chips)
get_general_board() Panel acciones general
get_cedears() CEDEARs
get_current_quote(symbol, settlement) Cotización actual
get_daily_history(symbol, from_date, to_date) Datos históricos OHLCV
get_intraday_history(symbol, from_date=None, to_date=None) Datos intradiarios OHLCV 1-minuto
get_government_bonds() Títulos públicos
get_corporate_bonds() Obligaciones negociables
get_short_term_government_bonds() Letras (corto plazo)
get_company_info(symbol) Información empresa
get_equity_profile(symbol) Perfil especie
get_company_management(symbol) Directivos
get_company_balance(symbol) Balance

Migración desde pyhomebroker

Los métodos clave tienen las mismas firmas y estructura de DataFrame para facilitar la conversión:

# pyhomebroker (requiere cuenta broker)
import pyhomebroker as hb
hb.auth.login(dni=..., user=..., password=..., broker=...)

# Histórico diario
df = hb.history.get_daily_history("GGAL", "2026-01-01", "2026-03-01")
print(df.columns)  # ['date', 'open', 'high', 'low', 'close', 'volume']

# Intradiario
df = hb.history.get_intraday_history("GGAL")

# PyOBD (sin autenticación):
from pyobd import BymaData
client = BymaData()

df = client.get_daily_history("GGAL", "2026-01-01", "2026-03-01")
print(df.columns)  # ['date', 'open', 'high', 'low', 'close', 'volume']

df = client.get_intraday_history("GGAL")

Las diferencias menores:

  • PyOBD expone los métodos directamente en el cliente (client.get_*()) en lugar de módulos anidados (hb.history.*).
  • No se requiere login ni credenciales.
  • Algunos nombres de métodos han cambiado (get_bluechips vs get_leading_equity, etc.) pero existen alias deprecados.

DISCLAIMER

La información es mostrada “tal cual es”, puede ser incorrecta o contener errores, eso es responsabilidad de cada sitio. No somos responsables por el uso indebido de los Scripts.

Licencia

GNU General Public License v3 (GPLv3)

Metadata

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