With the following toy dataframe (an extended version of yours):

import pandas as pd

df = pd.DataFrame({"values": [1, 2, 3, 4, 5, 6, 7, 5, 6, 5, 3, 11, 12, 13, 14, 15, 16, 4, 3, 8, 9, 10, 2]})

Here is one way to do it with Pandas rolling and interpolate :

# Find consecutive values
df["check"] = (df.diff() > 0).rolling(6).sum()
df["check"] = df["check"].mask(df["check"] < 6).mask(df["check"] >= 6, 1)

# Mark values
df = df.interpolate(limit_direction="backward", limit=5).fillna(0)

Then:

print(df)
# Output
    values  check
0        1      0
1        2      1
2        3      1
3        4      1
4        5      1
5        6      1
6        7      1
7        5      0
8        6      0
9        5      0
10       3      0
11      11      1
12      12      1
13      13      1
14      14      1
15      15      1
16      16      1
17       4      0
18       3      0
19       8      0
20       9      0
21      10      0
22       2      0