Amortization is included when you build the bond.
Given that you're mentioning a payment of 300, I'll guess that your face amount is 1000, not 100 as you wrote. Also, you're mentioning a payment on 30.04.2018, but your schedule starts on 02.12.2019. For the purpose of the example, I'll start the schedule earlier so it includes both payments.
So, let's say your schedule is
start_d = ql.Date(30, ql.April, 2016) mat_d = ql.Date(30, ql.April, 2023) schedule = ql.Schedule( start_d, mat_d, ql.Period(ql.Semiannual), ql.Russia(), ql.Unadjusted, ql.Unadjusted, ql.DateGeneration.Backward, False)
which gives the dates:
[Date(30,4,2016), Date(30,10,2016), Date(30,4,2017), Date(30,10,2017), Date(30,4,2018), Date(30,10,2018), Date(30,4,2019), Date(30,10,2019), Date(30,4,2020), Date(30,10,2020), Date(30,4,2021), Date(30,10,2021), Date(30,4,2022), Date(30,10,2022), Date(30,4,2023)]
To create an amortizing bond, you'll specify the notional for each coupon. In this example, the first four coupons (before 30.04.2018) are paid on the full notional; then an amortizing payment of 300 is made, and the next six coupons are paid on the remaining notional (700); then another amortizing payment of 300 comes, and the next four coupons are paid on what remains (400). So you'll write:
notionals = [1000, 1000, 1000, 1000, 700, 700, 700, 700, 700, 700, 400, 400, 400, 400]
and you'll create the bond as
settlement_days = 3 coupons = [0.1] dayCounter = ql.Thirty360(ql.Thirty360.European) bond = ql.AmortizingFixedRateBond(settlement_days, notionals, schedule, coupons, dayCounter)
Now you can check its cashflows:
for c in bond.cashflows(): print(f"{str(c.date()):20} => {c.amount():.4}")
which gives
October 31st, 2016 => 50.0 May 2nd, 2017 => 50.0 October 30th, 2017 => 50.0 May 3rd, 2018 => 50.0 May 3rd, 2018 => 300.0 October 30th, 2018 => 35.0 April 30th, 2019 => 35.0 October 30th, 2019 => 35.0 April 30th, 2020 => 35.0 October 30th, 2020 => 35.0 April 30th, 2021 => 35.0 April 30th, 2021 => 300.0 November 1st, 2021 => 20.0 May 3rd, 2022 => 20.0 October 31st, 2022 => 20.0 May 2nd, 2023 => 20.0 May 2nd, 2023 => 400.0
