Update app.py

app.py

@@ -12,6 +12,12 @@ def fetch_alpha_vantage_data(api_key):
     alpha_vantage_data = response.json()
     return alpha_vantage_data
 
+def calculate_indicators(data):
+    # Example: Simple condition for doji and inside
+    data['Doji'] = abs(data['4. close'] - data['1. open']) <= 0.01 * (data['2. high'] - data['3. low'])
+    data['Inside'] = (data['2. high'] < data['3. high']) & (data['2. low'] > data['3. low'])
+    return data
+
 def main():
     st.title("Stock Trend Predictor")
 
@@ -27,11 +33,14 @@ def main():
     df.index = pd.to_datetime(df.index)
     df = df.dropna(axis=0)
 
+    # Calculate indicators
+    df = calculate_indicators(df)
+
     # Create predictor
     my_market_predictor = Pandas_Market_Predictor(df)
 
     # Predict Trend
-    indicators = ["Indicator1", "Indicator2"]
+    indicators = ["Doji", "Inside"]
     trend = my_market_predictor.Trend_Detection(indicators, 10)
 
     # Display results