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import io | |
import pandas as pd | |
TESTDATA = io.StringIO( | |
"""DateTime, Type, Amount, Rate | |
2017-01-08 11:43:00,buy,0.10000001,200.11 | |
2017-01-08 11:43:00,buy,1.00000002,210.55 | |
2017-01-10 16:11:44,sell,0.10000002,290.44 | |
2017-01-11 18:43:00,buy,0.30000003,300.88 | |
2017-01-12 18:55:00,buy,0.40000004,311.22 | |
2017-01-14 22:22:11,sell,0.90000000,444.88 | |
2018-02-15 09:22:55,sell,0.100000001,555.77 | |
""") | |
def parse_transactions(csv_stream): | |
df = pd.read_csv(csv_stream, parse_dates=[0], skipinitialspace=True) | |
return (df[df.Type == 'buy'], df[df.Type == 'sell']) | |
def make_sell(sell, buys, amount=0, balance=0): | |
for buy in buys.itertuples(): | |
amount += buy.Amount | |
balance += buy.Amount * (sell.Rate - buy.Rate) | |
if amount >= sell.Amount: | |
return (buys.loc[buy.Index + 1:], amount - sell.Amount, balance) | |
raise ValueError(f'Need {sell.Amount} BTC, have {amount} BTC') | |
def print_info(count, buys, amount, balance): | |
print() | |
print(f'{5 * "-"} Verkauf #{count} {25 * "-"}') | |
print(f'Verbleibende Bitcoins: {amount}') | |
print(f'Gesamtsaldo (€): {balance:.2f}') | |
print() | |
print('Verbleibende Käufe:') | |
print('Keine' if buys.empty else buys) | |
def main(): | |
buys, sells = parse_transactions(TESTDATA) | |
balance = amount = 0 | |
for count, sell in enumerate(sells.itertuples(), 1): | |
buys, amount, balance = make_sell(sell, buys, amount, balance) | |
print_info(count, buys, amount, balance) | |
if __name__ == '__main__': | |
main() |
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