Try to fix the AI some more

WebServer/AIPython/aipredictor.py

@@ -49,20 +49,29 @@ def Predict():
     scaled_predictions = reconstructed_model.predict(scaled_data)
 
     # Use the loaded target scaler to get back to % change
-    actual_prediction = target_scaler.inverse_transform(scaled_predictions)
+    actual_prediction = target_scaler.inverse_transform(scaled_predictions.reshape(-1, 1)).flatten()
 
     # 'predictions' will be a 2D array, flatten it if you want a simple list
-    flat_predictions = actual_prediction.flatten().tolist()
+    flat_predictions = actual_prediction
+
+    # Get the overall trend to pull predictions from
+    predictionTrend = 0
+    with open("Target_Close_Average.txt", "r") as f:
+        predictionTrend = float(f.read().strip())
 
     # Set the movement indicator
     movement_indicator = 0
-    if (np.mean(flat_predictions) > 0.01):
+    averagePrediction = np.mean(flat_predictions)
+    if (averagePrediction > 0.005): # as in 3% swing up
         movement_indicator = 1
-    elif (np.mean(flat_predictions) < -0.01):
+    elif (averagePrediction < -0.005): # as in 3% swing down
         movement_indicator = -1
     else:
         movement_indicator = 0
 
+    # Debug data
+    print(f"averagePrediction: {averagePrediction}")
+
     # Return to C# via stdout
     print(f"---RESULT_START---")
     print(movement_indicator)