Financial Projection Agent

import pandas as pd
from datetime import datetime

def project_revenue(historical, growth_rate):
    months = range(1, 13)
    projections = []
    for m in months:
        proj = historical * ((1 + growth_rate) ** (m / 12))
        projections.append(proj)
    return projections

def scenario_analysis(base, optimistic, pessimistic):
    return {'base': base, 'optimistic': optimistic, 'pessimistic': pessimistic}