Create app.py

app.py

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+import streamlit as st
+import os
+import pandas as pd
+from dotenv import load_dotenv
+
+# ==============================
+# Utility Functions
+# ==============================
+
+def load_env_variables():
+    """Load environment variables from a .env file."""
+    load_dotenv()
+
+def fetch_data(symbol):
+    """Fetch data for a given symbol (placeholder logic)."""
+    try:
+        # Replace with actual data fetching logic if needed
+        return {"symbol": symbol, "data": "sample data"}
+    except Exception as e:
+        raise ValueError(f"Error fetching data for {symbol}: {e}")
+
+# ==============================
+# Page Functions
+# ==============================
+
+def render_home():
+    st.title("ICT Core Toolkit v6")
+    st.write("A comprehensive technical analysis tool for modern traders.")
+    st.write("Developer: Makori Brian | Support the developer by [link]")
+    st.subheader("Mission Statement")
+    st.write(
+        "The ICT Core Toolkit v6 aims to empower traders with advanced technical analysis tools, real-time alerts, and automated trading capabilities."
+    )
+
+def render_profile():
+    st.title("User Profile")
+    
+    # Retrieve or initialize favorite assets in session state
+    favorite_assets = st.session_state.get("favorite_assets", [])
+    
+    # Add favorite assets
+    asset = st.text_input("Add Favorite Asset")
+    if st.button("Add"):
+        if asset:
+            favorite_assets.append(asset)
+            st.session_state["favorite_assets"] = favorite_assets
+            st.success(f"{asset} added to favorites!")
+    
+    # Display favorite assets
+    if favorite_assets:
+        st.subheader("Your Favorite Assets")
+        for asset in favorite_assets:
+            st.write(asset)
+    else:
+        st.info("No favorite assets added yet.")
+    
+    # Public/Private sharing option
+    visibility = st.radio("Set Visibility", ["Private", "Public"])
+    if visibility == "Public":
+        st.success("Your analysis is now visible to others.")
+    else:
+        st.info("Your analysis is private.")
+
+def render_analysis():
+    st.title("Technical Analysis")
+    st.write("Perform advanced technical analysis on your favorite assets.")
+    
+    # Example: Load and display data
+    try:
+        # Replace 'example_data.csv' with your actual data source if available
+        data = pd.read_csv("example_data.csv")
+        st.line_chart(data)
+        
+        # Export functionality
+        export_format = st.selectbox("Export Format", ["CSV", "Excel", "JSON"])
+        if st.button("Export"):
+            if export_format == "CSV":
+                data.to_csv("exported_data.csv", index=False)
+                st.success("Data exported to CSV!")
+            elif export_format == "Excel":
+                data.to_excel("exported_data.xlsx", index=False)
+                st.success("Data exported to Excel!")
+            elif export_format == "JSON":
+                data.to_json("exported_data.json", orient="records")
+                st.success("Data exported to JSON!")
+    except Exception as e:
+        st.error(f"Error loading data: {e}")
+
+def render_automation():
+    st.title("Automated Trading")
+    st.write("Configure automated trading with Binance, Pepperstone, and cTrader.")
+    
+    broker = st.selectbox("Select Broker", ["Binance", "Pepperstone", "cTrader"])
+    
+    if broker == "Binance":
+        api_key = st.text_input("Binance API Key", type="password")
+        api_secret = st.text_input("Binance API Secret", type="password")
+        if st.button("Connect", key="binance_connect"):
+            # Here you would add connection logic using the API key/secret.
+            st.success("Connected to Binance!")
+    
+    elif broker == "Pepperstone":
+        client_id = st.text_input("Pepperstone Client ID")
+        access_token = st.text_input("Pepperstone Access Token", type="password")
+        if st.button("Connect", key="pepperstone_connect"):
+            # Add connection logic for Pepperstone.
+            st.success("Connected to Pepperstone!")
+    
+    elif broker == "cTrader":
+        fix_endpoint = st.text_input("cTrader FIX Endpoint")
+        if st.button("Connect", key="ctrader_connect"):
+            # Add connection logic for cTrader.
+            st.success("Connected to cTrader!")
+
+def render_community():
+    st.title("Community Analysis")
+    st.write("Share your analysis and copy trades from other users.")
+    
+    public_private = st.radio("Set Visibility", ["Public", "Private"])
+    if public_private == "Public":
+        st.success("Your analysis is now visible to others.")
+    else:
+        st.info("Your analysis is private.")
+    
+    # Example: Display shared trades
+    shared_trades = [
+        {"user": "Trader1", "asset": "BTCUSD", "action": "Buy"},
+        {"user": "Trader2", "asset": "NFLX", "action": "Sell"},
+    ]
+    if shared_trades:
+        st.subheader("Shared Trades")
+        for trade in shared_trades:
+            st.write(f"{trade['user']} - {trade['asset']} - {trade['action']}")
+    else:
+        st.info("No shared trades available.")
+
+# ==============================
+# Main Application
+# ==============================
+
+def main():
+    # Load environment variables
+    load_env_variables()
+    
+    # Set page configuration
+    st.set_page_config(page_title="ICT Core Toolkit v6", layout="wide")
+    
+    # Sidebar navigation
+    pages = {
+        "Home": render_home,
+        "Profile": render_profile,
+        "Analysis": render_analysis,
+        "Automation": render_automation,
+        "Community": render_community,
+    }
+    
+    selection = st.sidebar.radio("Navigate", list(pages.keys()))
+    
+    # Render the selected page
+    pages[selection]()
+
+if __name__ == "__main__":
+    main()