Why choosing good metrics is important.

signal_v_noise.rb

require 'csv'

def percent_support_tickets(time)
  1.0 - ((time + 5) / 200.0)
end

seed = Random.new_seed
prng = Random.new(seed)

puts "Seed: #{seed}"

primary_amounts = []
metrics = []

(1..100).each do |t|
  num_trades = prng.rand(100...500)
  dollar_revenue = prng.rand(1_000...1_000_000)
  num_support_tickets = num_trades * percent_support_tickets(t)

  dollars_per_ticket = dollar_revenue / num_support_tickets
  tickets_per_trade = num_support_tickets / num_trades
  
  primary_amounts << [num_trades, dollar_revenue, num_support_tickets]
  metrics << [dollars_per_ticket, tickets_per_trade]
  
  puts "#{t}:"
  puts "\t#{num_trades}\t$#{dollar_revenue}\t#{num_support_tickets}"
  puts "\t#{dollars_per_ticket}\t#{tickets_per_trade}"
end

CSV.open("fluctuation_data.csv", "wb") do |csv|
  metrics.each do |metric|
    csv << metric
  end
end