Recursive algorithm to determine when to buy and sell stocks, not eval'd for edge cases

stock_price_min_max_noshort.py

def get_buy_sell_prices(stocks: list):

  if len(stocks) == 1:
    return 'Cannot Profit - Down to 1 Stock'

  if len(stocks) == 2:
    if stocks[0] > stocks[1]:
      return 'Cannot Profit - Down to 2 Stocks'

  min_price, max_price = min(stocks), max(stocks)
  min_index, max_index = stocks.index(min_price), stocks.index(max_price)

  if min_price == max_price:
    return('Min and Max are the Same Price')

  if min_index < max_index:
    return ("Buy at {} sell at {}".format(stocks[min_index], 
      stocks[max_index]))

  else:
    stocks.pop(stocks.index(max_price))
    return get_buy_sell_prices(stocks)


assert(get_buy_sell_prices([10, 7, 5, 8, 11, 9]) == 'Buy at 5 sell at 11')
assert(get_buy_sell_prices([1,2,12,9,8,3]) == 'Buy at 1 sell at 12')
assert(get_buy_sell_prices([11,3,2,1,5,1]) == 'Buy at 1 sell at 5')