import pandas as pd
from util import get_data
from marketsim.marketsim import compute_portvals
from optimize_something.optimization import calculate_stats


def author():
    return "felixm"


def testPolicy(symbol, sd, ed, sv):
    print(f"{symbol=} {sd} - {ed} {sv=}")
    # trade = date, shares (-2000, -1000, 0, 1000, 2000)
    prices = get_data([symbol], pd.date_range(sd, ed))
    print(prices.index)
    return