Make current price work with date offsets

WebServer/AIPython/aipredictor.py

@@ -17,8 +17,6 @@ def Predict():
     # get the number of days ago to run the simulation for
     DaysBack = int(sys.argv[2])
 
-    print(f"Days back: {DaysBack}")
-
     # calculate the time offsets
     end_date = datetime.now() - timedelta(days=DaysBack)
     start_date = end_date - timedelta(days=70)
@@ -26,9 +24,6 @@ def Predict():
     # convert to string formats
     start_str = start_date.strftime('%Y-%m-%d')
     end_str = end_date.strftime('%Y-%m-%d')
-    
-    print(f"Start Date: {start_str}")
-    print(f"End Date: {end_str}")
 
     # Define paths (consistent with your previous script)
     SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))

WebServer/AIPython/currentprice.py

@@ -1,3 +1,4 @@
+from datetime import datetime, timedelta
 import sys
 import yfinance as yf
 
@@ -6,8 +7,21 @@ def getCurrentPrice():
     # Get the Symbol from ARGV
     symbol = sys.argv[1]
 
+    # get the number of days ago to run the simulation for
+    DaysBack = int(sys.argv[2])
+
     ticker = yf.Ticker(symbol)
-    data = ticker.history(period="1d", interval="1m")
+    
+    # Calculate the target date
+    target_date = datetime.now() - timedelta(days=DaysBack)
+    start_str = target_date.strftime('%Y-%m-%d')
+    
+    # End date must be the day AFTER the target to get that day's data
+    end_date = target_date + timedelta(days=1)
+    end_str = end_date.strftime('%Y-%m-%d')
+
+    # Fetch data for that specific 24-hour window
+    data = ticker.history(start=start_str, end=end_str)
     current_price = data['Close'].iloc[-1]
 
     # Return to C# via stdout

WebServer/Controllers/ProjectTest.cs

@@ -72,7 +72,7 @@ namespace Controllers.ProjectTest {
                 foreach(PurchasedStock cur in StockHistory) {
                     if (cur.Sold == false) {
                         // Get sell price
-                        float sellPrice = cur.Quantity * _aiModule.GetCurrentPrice( cur.Symbol );
+                        float sellPrice = cur.Quantity * _aiModule.GetCurrentPrice( cur.Symbol, i );
                         // Add up the total sale
                         totalSale += sellPrice;
                         // Mark as sold
@@ -85,7 +85,7 @@ namespace Controllers.ProjectTest {
                 if (i != 0) {
 
                     // Buy predicted stock
-                    float stockPrice = _aiModule.GetCurrentPrice( HighestRanking.Symbol );
+                    float stockPrice = _aiModule.GetCurrentPrice( HighestRanking.Symbol, i );
 
                     // Get max stocks user can purchase [ int cast truncates the decimal ]
                     int MaxQty = (int)( Money / stockPrice );

WebServer/Controllers/PythonInterop.cs

@@ -39,8 +39,8 @@ namespace Controllers.PythonInterop {
             }
         }
 
-        public float GetCurrentPrice(string StockSymbol) {
+        public float GetCurrentPrice(string StockSymbol, int DataEndDaysAgo = 0) {
-            (bool, string) Success = PyProcess.RunPythonProcess(_PyPath, _ExecPath + "/currentprice.py", returns: true, PyArgs: StockSymbol);
+            (bool, string) Success = PyProcess.RunPythonProcess(_PyPath, _ExecPath + "/currentprice.py", returns: true, PyArgs: $"{StockSymbol} {DataEndDaysAgo}");
             if (!Success.Item1) {
                 return 0;
             } else {