Algo Performance 10% Capital Kept Uninvested

Strategy Backtesting
#1

Hi there,

I am just testing zipline-reloaded for the first time and am getting unexpected results. My algo looks like this:

from zipline import run_algorithm
import pandas as pd

from zipline.api import symbol, order_target_percent
from zipline.finance import commission, slippage


def initialize(context):
    context.asset = symbol('AAPL')
    context.set_commission(commission.PerDollar(cost=0.00))
    context.set_slippage(slippage.FixedSlippage(spread=0.0))
    context.has_ordered = False


def handle_data(context, data):
    if not context.has_ordered:
        order_target_percent(context.asset, 1.0)
        context.has_ordered = True


def analyze(context, perf):
    pass


if __name__ == "__main__":

    start_date = pd.Timestamp('2019-01-01')
    end_date = pd.Timestamp('2022-12-31')

    result = run_algorithm(
        start=start_date,  
        end=end_date, 
        initialize=initialize,
        handle_data=handle_data,
        analyze=analyze,
        capital_base=20000,
        data_frequency='daily',
        bundle='custom'
    )

I have installed the package with python 3.11 on a linux environment.
Now when I check the results, my algo is always keeping 10% of the capital uninvested. Not sure why it does this or where is this set, but I have used the algo on python 3.8 using windows, and there it doestn do that.

Does anybody know what is happening here?

Many thanks.
Best,
Chris