Simple stock db with tools.
Project description
pystockdb
Database for stocks based on pony.orm. This package provides an create, sync and update tool.
At the moment we are only support a few stocks. If you want to have more, please contribute pytickersymbols.
install
pip install pystockdb
database schema
quick start
In all samples we use sqlite but you are free to use other providers. For more information's please read Connecting to the Database.
Install sqlite stock db:
import logging
from pystockdb.tools.create import CreateAndFillDataBase
logger = logging.getLogger('test')
config = {
'max_history': 1,
'indices': ['DAX'],
'currency': 'EUR',
'db_args': {
'provider': 'sqlite',
'filename': 'demo.sqlite',
'create_db': True
},
}
create = CreateAndFillDataBase(config, logger)
create.build()
Update sqlite stock db:
import logging
from pystockdb.tools.update import UpdateDataBaseStocks
logger = logging.getLogger('test')
config = {
'symbols': ['ALL'],
'prices': True, # update prices
'fundamentals': True, # update fundamental stock data
'db_args': {
'provider': 'sqlite',
'filename': 'demo.sqlite',
'create_db': False
},
}
update = UpdateDataBaseStocks(config, logger)
update.build()
Sync sqlite stock db:
import logging
from pystockdb.tools.sync import SyncDataBaseStocks
logger = logging.getLogger('test')
config = {
'max_history': 1,
'indices': ['CAC 40'], # add new index to existing database
'currency': 'EUR',
'db_args': {
'provider': 'sqlite',
'filename': 'demo.sqlite',
},
}
sync = SyncDataBaseStocks(config, logger)
sync.build()
Getting database objects:
import datetime
from pony.orm import db_session
from pystockdb.db.schema.stocks import Price, Stock
from pystockdb.tools.base import DBBase
# connect to database
arguments = {
'db_args': {
'provider': 'sqlite',
'filename': 'test.sqlite',
'create_db': False
}
}
# Read https://docs.ponyorm.org/api_reference.html for other provider settings
DBBase(arguments, None)
now = datetime.datetime.now()
last_week = now - datetime.timedelta(days=7)
with db_session:
# get ifx stock object
stock = Stock.select(
(lambda s: 'IFX.F' in s.price_item.symbols.name)
).first()
# select ifx.f prices of the last week
prices = Price.select(
lambda p: p.symbol.name == 'IFX.F'
and p.date >= last_week
and p.date <= now
)
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