JuliaForDataAnalysis/ch14_server.jl

46 lines
1.1 KiB
Julia
Raw Normal View History

2022-02-08 20:58:33 +01:00
using Genie
using Statistics
using ThreadsX
function v_asian_sample(T, X0, K, r, sd, m)::Float64
X = X0
sumX = X
d = T / m
for i in 1:m
X *= exp((r-sd^2/2)*d + sd*sqrt(d)*randn())
sumX += X
end
return exp(-r*T) * max(sumX / (m + 1) - K, 0)
end
function v_asian_value(T, X0, K, r, sd, m, max_time)
result = Float64[]
start_time = time()
while time() - start_time < max_time
append!(result, ThreadsX.map(_ -> v_asian_sample(T, X0, K, r, sd, m), 1:10_000))
end
n = length(result)
mv = mean(result)
sdv = std(result)
lo95 = mv - 1.96 * sdv / sqrt(n)
hi95 = mv + 1.96 * sdv / sqrt(n)
zero = mean(==(0), result)
return (; n, mv, sdv, lo95, hi95, zero)
end
Genie.config.run_as_server = true
Genie.Router.route("/", method=POST) do
message = Genie.Requests.jsonpayload()
return try
K = float(message["K"])
max_time = float(message["max_time"])
value = v_asian_value(1.0, 50.0, K, 0.05, 0.3, 200, max_time)
Genie.Renderer.Json.json((status="OK", value=value))
catch
Genie.Renderer.Json.json((status="ERROR", value=""))
end
end
Genie.startup()