diff --git a/ec2.py b/ec2.py index d174183e57e2c5514802f84ff8b3b972fda280de..d5f2695b77647253945358509b581849fa8eb454 100644 --- a/ec2.py +++ b/ec2.py @@ -3,8 +3,8 @@ import math, random, sys, json from statistics import mean, stdev - -event = json.loads(sys.stdin.read()) +input = sys.stdin.read() +event = json.loads(input) dt = eval(event['key1']) @@ -21,8 +21,8 @@ var_99_list = [] dates = [] for i in range(minhistory, len(close)): - if t == "buy": - if buy[i] == 1: #If it is to buy + if t == "sell": + if sell[i] == 1: #If it is to sell closing = close[i-minhistory:i] percent_change = [(closing[i] - closing[i-1]) / closing[i-1] for i in range(1,len(closing))] mean_value = mean(percent_change) @@ -36,8 +36,8 @@ for i in range(minhistory, len(close)): var_95_list.append(var95) var_99_list.append(var99) dates.append(str(dt[i])) - elif t == "sell": - if sell[i] == 1: #If it is to sell + elif t == "buy": + if buy[i] == 1: #If it is to buy closing = close[i-minhistory:i] percent_change = [(closing[i] - closing[i-1]) / closing[i-1] for i in range(1,len(closing))] mean_value = mean(percent_change) @@ -52,13 +52,13 @@ for i in range(minhistory, len(close)): var_99_list.append(var99) dates.append(str(dt[i])) -output = {"dates" : dates, +result = {"dates" : dates, "var95" : var_95_list, "var99" : var_99_list } -output = json.dumps(output) +final_output = json.dumps(result) print("Content-Type: application/json") print() -print(output) +print(final_output)