diff --git a/ec2_function.py b/ec2_function.py
index d444da4485eaf88ceb2c711a6587faaeac26ca24..38ad7a87ddecf67461780d04b9b13c186b62ae26 100644
--- a/ec2_function.py
+++ b/ec2_function.py
@@ -81,5 +81,5 @@ def run_simulation():
     # }
     # return jsonify(response_json)
 
-if __name__ == '__main__':
-  app.run()
\ No newline at end of file
+# if __name__ == '__main__':
+#   app.run()
\ No newline at end of file
diff --git a/flaskapp.py b/flaskapp.py
deleted file mode 100644
index d444da4485eaf88ceb2c711a6587faaeac26ca24..0000000000000000000000000000000000000000
--- a/flaskapp.py
+++ /dev/null
@@ -1,85 +0,0 @@
-from flask import Flask, request, jsonify
-import json
-import random
-import math
-
-app = Flask(__name__)
-
-@app.route('/')
-def hello_world():
-  return 'Hello from Flask!'
-
-@app.route('/work', methods=['POST'])
-def run_simulation():
-    # Parse the JSON input data
-    input_json = request.json
-
-    # Extract the required parameters from the input data
-    minhistory = int(input_json['history'])
-    shots = int(input_json['shots'])
-    signaltype = str(input_json['signal_type'])
-    P = int(input_json['time_horizon'])
-    closing_prices = input_json['closing_prices']
-    buy_signals = input_json['buy_signals']
-    sell_signals = input_json['sell_signals']
-
-
-    # print(minhistory, shots, signaltype, P)
-    # print(buy_signals)
-    # print(sell_signals)
-
-    # create empty lists to store the results
-    risk95_values = []
-    risk99_values = []
-
-    for i in range(minhistory, len(closing_prices)):
-        if (i+P) < len(closing_prices): # this ignores signals where we don't have price_p_days_forward
-            if signaltype=="Buy" and buy_signals[i]==1: # for buy signals
-                # calculate the mean and standard deviation of the price changes over the past minhistory days
-                pct_changes = [closing_prices[j]/closing_prices[j-1] - 1 for j in range(i-minhistory, i)] # percent changes with previous closing price
-                mean = sum(pct_changes)/len(pct_changes)
-                std = math.sqrt(sum([(x-mean)**2 for x in pct_changes])/len(pct_changes))
-                
-                # generate much larger random number series with same broad characteristics
-                simulated = [random.gauss(mean,std) for x in range(shots)]
-                
-                # sort and pick 95% and 99%  - not distinguishing long/short risks here
-                simulated.sort(reverse=True)
-                var95 = simulated[int(len(simulated)*0.95)]
-                var99 = simulated[int(len(simulated)*0.99)]
-                
-                # record the risk values
-                risk95_values.append(var95)
-                risk99_values.append(var99)
-
-            
-            elif signaltype=="Sell" and sell_signals[i]==1:
-                # calculate the mean and standard deviation of the price changes over the past minhistory days
-                pct_changes = [closing_prices[j]/closing_prices[j-1] - 1 for j in range(i-minhistory, i)] # percent changes with previous closing price
-                mean = sum(pct_changes)/len(pct_changes)
-                std = math.sqrt(sum([(x-mean)**2 for x in pct_changes])/len(pct_changes))
-                
-                # generate much larger random number series with same broad characteristics
-                simulated = [random.gauss(mean,std) for x in range(shots)]
-                
-                # sort and pick 95% and 99%  - not distinguishing long/short risks here
-                simulated.sort(reverse=True)
-                var95 = simulated[int(len(simulated)*0.95)]
-                var99 = simulated[int(len(simulated)*0.99)]
-                
-                # record the risk values
-                risk95_values.append(var95)
-                risk99_values.append(var99)
-                
-
-    return (risk95_values, risk99_values)
-
-
-    # # Return the results as a JSON response
-    # response_json = {
-    #     'result': result
-    # }
-    # return jsonify(response_json)
-
-if __name__ == '__main__':
-  app.run()
\ No newline at end of file
diff --git a/flaskapp.wsgi b/flaskapp.wsgi
deleted file mode 100644
index 552c62802cde9bf9ff9d99f01d709e9c55ba7b31..0000000000000000000000000000000000000000
--- a/flaskapp.wsgi
+++ /dev/null
@@ -1,4 +0,0 @@
-import sys
-sys.path.insert(0, '/var/www/html/flaskapp')
-
-from flaskapp import app as application
\ No newline at end of file