From 72c893171e84dd3545c6efdaa1811972112a76b5 Mon Sep 17 00:00:00 2001 From: Reynov Christian Date: Thu, 16 Oct 2025 03:48:28 +0800 Subject: [PATCH] chore(last_broker): update last_check timestamp for FBS broker - Updated "last_check" from 2025-10-09 to 2025-10-16 to reflect the most recent verification time. This helps track the latest broker status update automatically. --- README_STREAMLIT.md | 212 +++++++++++++++++++++++++++++++++++ last_broker.json | 2 +- streamlit_demo.py | 220 +++++++++++++++++++++++++++++++++++++ streamlit_requirements.txt | 5 + 4 files changed, 438 insertions(+), 1 deletion(-) create mode 100644 README_STREAMLIT.md create mode 100644 streamlit_demo.py create mode 100644 streamlit_requirements.txt diff --git a/README_STREAMLIT.md b/README_STREAMLIT.md new file mode 100644 index 0000000..1762420 --- /dev/null +++ b/README_STREAMLIT.md @@ -0,0 +1,212 @@ +# 🚀 QuantumBotX Streamlit Demo Deployment Guide + +## Overview + +Since MetaTrader 5 requires **Windows OS and persistent terminal connections**, enabling Railway or other cloud platforms for live trading is not technically feasible. However, for **public demonstration** purposes, we've created a beautiful Streamlit demo that showcases all QuantumBotX features without requiring MT5. + +## Why Streamlit Demo? + +### ✅ Advantages: +- **No MT5 Dependency**: Works on any cloud platform (Railway, Vercel, Heroku, etc.) +- **Interactive Demo**: Realistic trading simulation with live data +- **Easy Deployment**: Single command deployment with pip installs +- **Public Showcase**: Perfect for demonstrating capabilities to potential users +- **Cost Effective**: Free tier available on most platforms +- **Fast Loading**: Lightweight compared to full Flask app + +### ❌ Limitations: +- No live trading execution (by design for safety) +- Simulated data only +- No MT5 integration +- Read-only demonstration + +## Quick Deployment Options + +### Option 1: Streamlit Cloud (Easiest) + +1. **Create Account**: Go to [share.streamlit.io](https://share.streamlit.io) +2. **Connect Repository**: Link your GitHub account +3. **Deploy**: + ```bash + git add streamlit_demo.py streamlit_requirements.txt + git commit -m "Add Streamlit demo for QuantumBotX" + git push origin main + ``` +4. **Configuration**: + - Main file path: `streamlit_demo.py` + - Requirements file: `streamlit_requirements.txt` + +### Option 2: Railway + Streamlit + +1. **Initialize Railway Project**: + ```bash + railway init + ``` + +2. **Create Railway Configuration**: + ```bash + # railway.toml + [build] + builder = "NIXPACKS" + + [deploy] + startCommand = "streamlit run streamlit_demo.py --server.port $PORT --server.headless true" + ``` + +3. **Environment Variables** (optional): + - No MT5 credentials needed (demo only) + +4. **Deploy**: + ```bash + git add . + git commit -m "Add Railway config for Streamlit demo" + git push origin main + railway up + ``` + +### Option 3: Heroku + Streamlit + +1. **Create Heroku App**: + ```bash + heroku create quantum-botx-demo + ``` + +2. **Create requirements.txt** (use `streamlit_requirements.txt`) + +3. **Create Procfile**: + ``` + web: streamlit run streamlit_demo.py --server.port $PORT --server.headless true + ``` + +4. **Deploy**: + ```bash + git push heroku main + ``` + +### Option 4: Vercel + Streamlit (Experimental) + +1. **Create vercel.json**: + ```json + { + "version": 2, + "builds": [ + { + "src": "streamlit_demo.py", + "use": "@vercel/python" + } + ], + "routes": [ + { + "src": "/(.*)", + "dest": "streamlit_demo.py" + } + ] + } + ``` + +2. **Deploy**: + ```bash + vercel --prod + ``` + +## Demo Features Showcased + +### 📊 Interactive Dashboard: +- **Live Metrics**: Balance, strategies, profits, bots running +- **Strategy Showcase**: MA Crossover & Bollinger Band explanations +- **Charts**: Example price movements with indicators +- **Trading History**: Filtered historic demo trades + +### 🎯 Strategy Highlights: +- **Beginner Friendly**: Clear explanations and examples +- **Risk Management**: ATR-based sizing demonstrations +- **Multi-Asset**: FOREX, Gold, Crypto, Indices examples +- **AI Features**: Strategy complexity ratings, mentor system + +### 🚀 Professional Presentation: +- **Clean UI**: Modern Streamlit interface +- **Responsive Design**: Works on mobile and desktop +- **Educational Content**: Feature explanations and guides +- **Call-to-Action**: Download links and system requirements + +## Files Created + +- **`streamlit_demo.py`**: Complete demo application +- **`streamlit_requirements.txt`**: Minimal dependencies for cloud deployment +- **`README_STREAMLIT.md`**: This deployment guide + +## Testing Locally + +Before deploying, test the demo locally: + +```bash +# Install dependencies +pip install -r streamlit_requirements.txt + +# Run the demo +streamlit run streamlit_demo.py +``` + +**Expected Result**: Demo app opens in browser showing QuantumBotX features + +## Deployment Commands + +### Streamlit Cloud (Recommended): +```bash +streamlit run streamlit_demo.py --server.port 8501 --server.headless false +``` + +### Railway: +```bash +railway init +railway up +``` + +### Heroku: +```bash +heroku create your-app-name +git push heroku main +``` + +## Cost Comparison + +| Platform | Free Tier | Cost for Demo | Best For | +|----------|-----------|---------------|----------| +| **Streamlit Cloud** | 100 hours/month | Free | Best choice | +| **Railway** | $5/month | $5/month | Good alternative | +| **Heroku** | 550 hours/month | Free | Simple option | +| **Vercel** | Generous free | Free | If preferring Vercel | + +## Why Not Live Trading Deployment? + +### Technical Barriers: + +1. **MT5 Windows-Only**: Terminal requires Windows OS +2. **Persistent Connection**: Needs continuous MT5 session +3. **GUI Requirement**: MT5 needs display server for login +4. **License Issues**: MT5 EULA may prohibit containerization + +### Railway Specifically: +- Railway uses **Linux containers** (Ubuntu/CentOS) +- **Wine complications**: MT5 + Wine = unreliable connections +- **No Windows support**: Railway doesn't offer Windows containers +- **Cost ineffective**: Persistent VMs for MT5 would be expensive + +## Next Steps + +1. **Choose Platform**: Streamlit Cloud for easiest deployment +2. **Test Demo**: Run locally first +3. **Deploy**: Push to chosen platform +4. **Share**: Send demo link to potential users +5. **Monitor**: Check analytics and user feedback + +## Support + +- **Demo Issues**: Test locally first, then check deployment logs +- **Streamlit Docs**: [docs.streamlit.io](https://docs.streamlit.io) +- **Platform Support**: Each platform has detailed documentation +- **QuantumBotX**: Full version requires Windows + MT5 setup + +--- + +**Happy Showcasing! 🎯🤖** diff --git a/last_broker.json b/last_broker.json index e54bb5b..65cdf07 100644 --- a/last_broker.json +++ b/last_broker.json @@ -1,5 +1,5 @@ { "broker": "FBS-Demo", "company": "FBS Markets Inc.", - "last_check": "2025-10-09T12:17:45.370404" + "last_check": "2025-10-16T03:19:13.829792" } \ No newline at end of file diff --git a/streamlit_demo.py b/streamlit_demo.py new file mode 100644 index 0000000..e6876f7 --- /dev/null +++ b/streamlit_demo.py @@ -0,0 +1,220 @@ +import streamlit as st +import pandas as pd +import numpy as np +from datetime import datetime, timedelta +import time +import random + +# Page configuration +st.set_page_config( + page_title="QuantumBotX Trading Bot Demo", + page_icon="🤖", + layout="wide", + initial_sidebar_state="expanded" +) + +# Header +st.title("🤖 QuantumBotX - AI Trading Bot Demo") +st.markdown("*Experience the power of algorithmic trading without risking real money*") + +# Portfolio Overview +col1, col2, col3, col4 = st.columns(4) + +with col1: + st.metric("Total Balance", "$10,000", "+2.3%") +with col2: + st.metric("Active Strategies", "4", "+1") +with col3: + st.metric("Total Profit", "$234.56", "+5.2%") +with col4: + st.metric("Bots Running", "3", "Online") + +# Demo Data Generation +def generate_demo_data(): + # Generate realistic trading data + symbols = ['EURUSD', 'GBPUSD', 'XAUUSD', 'BTCUSD'] + strategies = ['MA Crossover', 'RSI Momentum', 'Quantum Velocity', 'Ichimoku Cloud'] + data = [] + + base_date = datetime.now() - timedelta(days=30) + + for i in range(30): + for symbol in symbols[:2]: # Only EURUSD and GBPUSD for demo + profit = random.uniform(-50, 150) if random.random() > 0.3 else random.uniform(-100, 200) + data.append({ + 'date': (base_date + timedelta(days=i)).strftime('%Y-%m-%d'), + 'symbol': symbol, + 'strategy': random.choice(strategies), + 'profit': round(profit, 2), + 'status': 'Closed' if random.random() > 0.2 else 'Open' + }) + + return pd.DataFrame(data) + +# Strategy Showcase +st.header("🎯 Featured Trading Strategies") + +col1, col2 = st.columns(2) + +with col1: + st.subheader("📈 MA Crossover Strategy") + st.write(""" + **Perfect for beginners!** This classic strategy identifies trend changes using moving average crossovers. + - Uses 50 & 200 period moving averages + - Works beautifully in trending markets + - Risk management: 1% per trade + - EURUSD & GBPUSD optimized + """) + + # Example chart placeholder + chart_data = pd.DataFrame({ + 'Price': [1.0850, 1.0875, 1.0920, 1.0885, 1.0910, 1.0935, 1.0960, 1.0945], + 'SMA50': [1.0800, 1.0815, 1.0830, 1.0845, 1.0860, 1.0875, 1.0890, 1.0905], + 'SMA200': [1.0750, 1.0765, 1.0780, 1.0795, 1.0810, 1.0825, 1.0840, 1.0855] + }) + st.line_chart(chart_data) + +with col2: + st.subheader("🎪 Bollinger Band Reversal") + st.write(""" + **Advanced mean reversion strategy** that profits from price returning to the mean. + - Uses Bollinger Bands for entry signals + - RSI confirmation for momentum timing + - Excellent in ranging markets + - Perfect for FOREX pairs + """) + + # Bollinger bands visualization + bb_data = pd.DataFrame({ + 'Price': [1.0850, 1.0835, 1.0860, 1.0825, 1.0875, 1.0800, 1.0885, 1.0840], + 'Upper BB': [1.0910, 1.0925, 1.0900, 1.0935, 1.0920, 1.0945, 1.0930, 1.0915], + 'Lower BB': [1.0790, 1.0775, 1.0800, 1.0765, 1.0780, 1.0755, 1.0770, 1.0785] + }) + st.line_chart(bb_data) + +# Live Demo Section +st.header("📊 Live Bot Performance") + +# Demo trading data +demo_data = generate_demo_data() + +# Filter options +col1, col2, col3 = st.columns(3) +with col1: + symbol_filter = st.selectbox("Filter by Symbol:", ["All"] + demo_data['symbol'].unique().tolist()) +with col2: + strategy_filter = st.selectbox("Filter by Strategy:", ["All"] + demo_data['strategy'].unique().tolist()) +with col3: + status_filter = st.selectbox("Filter by Status:", ["All"] + demo_data['status'].unique().tolist()) + +# Apply filters +filtered_data = demo_data.copy() +if symbol_filter != "All": + filtered_data = filtered_data[filtered_data['symbol'] == symbol_filter] +if strategy_filter != "All": + filtered_data = filtered_data[filtered_data['strategy'] == strategy_filter] +if status_filter != "All": + filtered_data = filtered_data[filtered_data['status'] == status_filter] + +# Display trades table +st.dataframe( + filtered_data.sort_values('date', ascending=False), + use_container_width=True +) + +# Performance Summary +st.subheader("📈 Performance Summary") + +col1, col2, col3, col4 = st.columns(4) + +with col1: + total_trades = len(filtered_data) + st.metric("Total Trades", total_trades) + +with col2: + profitable_trades = len(filtered_data[filtered_data['profit'] > 0]) + win_rate = (profitable_trades / total_trades * 100) if total_trades > 0 else 0 + st.metric("Win Rate", ".1f") + +with col3: + avg_profit = filtered_data['profit'].mean() + st.metric("Avg Profit/Trade", ".2f") + +with col4: + total_profit = filtered_data['profit'].sum() + st.metric("Total P&L", ".2f") + +# Features Showcase +st.header("🚀 Key Features") + +feature_col1, feature_col2 = st.columns(2) + +with feature_col1: + st.subheader("🛡️ Risk Management") + st.write(""" + - **ATR-Based Sizing**: Dynamic position sizing that adapts to volatility + - **1% Risk Rule**: Conservative approach protects your capital + - **XAUUSD Protection**: Special safeguards for gold trading + - **Emergency Brake**: Auto-halting during extreme market conditions + """) + + st.subheader("🎓 AI Educational System") + st.write(""" + - **Strategy Complexity Ratings**: 2-12 scale for beginners to experts + - **Day-by-Day Learning**: Progressive experience from Week 1 to Month 3 + - **AI Mentor**: Indonesian AI mentor with cultural intelligence + - **Parameter Explanations**: Every setting explained in plain language + """) + +with feature_col2: + st.subheader("📊 Multi-Asset Trading") + st.write(""" + - **FOREX**: EURUSD, GBPUSD, JPY pairs with trend-following + - **Gold**: Ultra-conservative XAUUSD with ATR limits + - **Crypto**: BTCUSD/ETHUSD with 24/7 weekend trading + - **Indices**: US500, US30 with momentum strategies + - **Multi-Broker**: XM Global, FBS, IC Markets support + """) + + st.subheader("🌟 Unique Features") + st.write(""" + - **Strategy Switcher**: AI automatically selects best strategy + - **Holiday Detection**: Christmas & Ramadan mode activation + - **Cultural Awareness**: Islamic finance features and Zakat calculator + - **Live Dashboard**: Real-time monitoring and performance tracking + """) + +# Call to Action +st.header("🎯 Ready to Start Your Trading Journey?") + +st.info(""" +**QuantumBotX Demo Limitations:** +- This is a *simulation* of the actual trading bot +- Real trading requires Windows + MetaTrader 5 terminal +- All data shown is generated for demonstration purposes +- The actual bot provides live MT5 integration and real-time trading +""") + +st.markdown(""" +### How to Get Started: +1. **Download the full application** from our GitHub repository +2. **Install MetaTrader 5** on your Windows computer +3. **Set up your demo account** with any MT5 broker +4. **Configure and start trading** with $50 minimum deposit + +### System Requirements: +- Windows 10/11 (64-bit) +- MetaTrader 5 terminal +- Python 3.10 or higher +- At least 4GB RAM +""") + +# Footer +st.markdown("---") +st.markdown(""" +
+

QuantumBotX - Making Algorithmic Trading Accessible for Everyone

+

Developed with ❤️ by Chrisnov IT Solutions

+

View on GitHub • Documentation

+
+""", unsafe_allow_html=True) diff --git a/streamlit_requirements.txt b/streamlit_requirements.txt new file mode 100644 index 0000000..567ac77 --- /dev/null +++ b/streamlit_requirements.txt @@ -0,0 +1,5 @@ +streamlit==1.29.0 +pandas==2.3.1 +numpy==1.23.5 +python-dateutil==2.9.0.post0 +pytz==2025.2