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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()
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