add app

app/main.py

@@ -0,0 +1,67 @@
+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+from openbb_terminal.sdk import openbb
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+token = os.getenv("OPENBB_TOKEN")
+if token:
+    openbb.account.login(token)
+
+st.title("TradingView + OpenBB Indicators Dashboard")
+
+symbol = st.text_input("Ticker", "AAPL")
+period = st.slider("SMA/EMA/RSI period", 5, 50, 20)
+
+if st.button("Load Dashboard"):
+
+    # Load free stock data via OpenBB
+    df = openbb.stocks.load(symbol)
+
+    # ---- Technical Indicators ----
+    df["SMA"] = df["close"].rolling(period).mean()
+    df["EMA"] = df["close"].ewm(span=period, adjust=False).mean()
+    delta = df["close"].diff()
+    gain = delta.clip(lower=0)
+    loss = -1 * delta.clip(upper=0)
+    avg_gain = gain.rolling(period).mean()
+    avg_loss = loss.rolling(period).mean()
+    rs = avg_gain / avg_loss
+    df["RSI"] = 100 - (100 / (1 + rs))
+
+    # ---- Tabs ----
+    tab1, tab2, tab3 = st.tabs(["TradingView", "Price + SMA/EMA", "RSI"])
+
+    # ---- Tab 1: Interactive TradingView ----
+    with tab1:
+        tradingview_html = f"""
+        <div class="tradingview-widget-container">
+          <div id="tradingview_{symbol}"></div>
+          <script type="text/javascript" src="https://s3.tradingview.com/tv.js"></script>
+          <script type="text/javascript">
+            new TradingView.widget({{
+              "width": "100%",
+              "height": 600,
+              "symbol": "{symbol}",
+              "interval": "D",
+              "timezone": "Etc/UTC",
+              "theme": "light",
+              "style": "1",
+              "locale": "en",
+              "toolbar_bg": "#f1f3f6",
+              "enable_publishing": false,
+              "allow_symbol_change": true,
+              "container_id": "tradingview_{symbol}"
+            }});
+          </script>
+        </div>
+        """
+        st.components.v1.html(tradingview_html, height=650)
+
+    # ---- Tab 2: Price + SMA/EMA ----
+    with tab2:
+        fig = go.Figure()
+        fig.add_trace(go.Scatter(x=df.index, y=df["close"], name="Close"))
+        fig.add_trace(go.Scatter(x=df.index, y=df["SMA"], name=f"SMA {period}"))