Iterate over rows and apply function based on conditions in existing dataframe columns

I have the following script:

df = pd.DataFrame()
df["Stake"]=[0.25,0.15,0.26,0.30,0.10,0.40,0.32,0.11,0.20,0.25]
df["Odds"]=[2.5,4.0,1.75,2.2,1.85,3.2,1.5,1.2,2.15,1.65]
df["Ftr"]=["H","D","A","H","H","A","D","H","H","A"]
df["Ind"]=[1,2,2,1,3,3,3,1,2,2]

which results in:

    Stake   Odds    Ftr Ind
0   0.25    2.50    H   1
1   0.15    4.00    D   2
2   0.26    1.75    A   2
3   0.30    2.20    H   1
4   0.10    1.85    H   3
5   0.40    3.20    A   3
6   0.32    1.50    D   3
7   0.11    1.20    H   1
8   0.20    2.15    H   2
9   0.25    1.65    A   2

I want to create two additional columns "Start Balance" and "End Balance"."Start Balance" in index 0 is equal to 1000. "End balance" is always equal to either:

"Start Balance" - "Stake" * "Start Balance" + "Stake" x "Start Balance" x "Odds" if column "Ftr" = "H".

or,

"Start Balance" - "Stake" * "Start Balance" if column "Ftr" different than "H".

Then the next index "Start balance" becomes the preceding index "End Balance". For example "End Balance" in index 0 becomes "Start Balance" in index 1.

To make things a bit more complicated the "Start Balance" should respect one more condition. If "Ind" column is different than 1 , for example 2 then the "Start Balance" for both rows (indices 1 and 2) is equal to the "End Balance" in index 0. Likewise where "Ind" is 3 then all indices (4,5,6) should have "Start Balance" equal to the "End balance" in index 3. Expected result is:

    Stake   Odds    Ftr Ind Start Balance   End Balance
0   0.25    2.5      H   1     1000.0          1375.0
1   0.15     4       D   2     1375.0          1168.8
2   0.26    1.75     A   2     1375.0          1017.5
3   0.3     2.2      H   1     1017.5          1383.8
4   0.1     1.85     H   3     1383.8          1501.4
5   0.4     3.2      A   3     1383.8           830.3
6   0.32    1.5      D   3     1383.8           941.0
7   0.11    1.2      H   1      941.0           961.7
8   0.2     2.15     H   2      961.7          1182.9
9   0.25    1.65     A   2      961.7           721.3

I have not tried anything since I truly don't know how to approach so many conditions :). Cheers