```python

import pandas as pd

import numpy as np

import datetime as dt

import calendar as cal

from dateutil import relativedelta

import argparse

import warnings

warnings.filterwarnings('ignore')

def process_market(market):

if market.endswith('BTC'):

return market.split('/')[0]

elif market.startswith('BTC'):

return market.split('/')[1]

return market

def bisqstats(csv_str, f, t=0, pivot='Market', mkttype=None):

try:

df = pd.read_csv(csv_str)

start = dt.datetime.now() - relativedelta.relativedelta(months=f)

start_date = start.date().strftime("%Y-%m-%d")

start = cal.timegm(start.timetuple())*1000

end = dt.datetime.now() - relativedelta.relativedelta(months=t)

end_date = end.date().strftime("%Y-%m-%d")

end = cal.timegm(end.timetuple())*1000

df_filtered = df[(df["Epoch time in ms"] >= start) & (df["Epoch time in ms"] <= end)]

df_filtered['Type'] = df_filtered['Market'].apply(lambda x: 'fiat' if x.startswith('BTC') else ('altcoin' if x.endswith('BTC') else None))

df_filtered['Market'] = df_filtered['Market'].apply(process_market)

if mkttype is not None:

df_filtered = df_filtered[df_filtered['Type']==mkttype]

pv = df_filtered.pivot_table(index=[pivot], values=["Amount in BTC"], aggfunc=('sum', 'count'))

if pv.empty:

raise RuntimeError(f'Your dataframe has been filtered to empty. pivot={pivot}, mkttype={mkttype}')

else:

pv = pv.sort_values(by=[('Amount in BTC', 'sum')], ascending=False)

return pv, start_date, end_date

except Exception as e:

print('There was an error in your input, please try again :{0}'.format(e))

return None, None, None

def main():

#Create the parser

parser = argparse.ArgumentParser(description='Process some Inputs.')

# Add arguments

parser.add_argument('--f', type=int, required=True, help='Number of months to look back')

parser.add_argument('--t', type=int, help='Use this to look at historical periods')

parser.add_argument('--pivot', type=str, help='Set this to Payment method/Market/Type print out stats by Different Pivots')

parser.add_argument('--mkttype', type=str, help='Set this to fiat/altcoin to print out stats by market type')

# Parse the arguments

try:

args = parser.parse_args()

except SystemExit as e:

print("Error: Missing required arguments.")

parser.print_help()

return

t = 0

pivot = 'Market'

mkttype = None

if args.t is not None:

t = args.t

if args.pivot is not None:

pivot = args.pivot

if args.mkttype is not None:

mkttype = args.mkttype

pv, start_date, end_date = bisqstats("trade-statistics-all-markets.csv", args.f, t, pivot, mkttype)

print('\n==========================================================')

print(f"Bisq Trading Stats from {start_date} to {end_date}:")

print('==========================================================')

print(pv)

print('\n')

if __name__ == '__main__':

main()

```