mirror of
https://github.com/chrisnov-it/quantumbotx.git
synced 2026-07-27 18:57:47 +00:00
Keep main focused on MT5 platform
This commit is contained in:
chrisnov-it
@@ -1,353 +0,0 @@
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#!/usr/bin/env python3
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"""
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Indonesian Market Trading Demo for QuantumBotX
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Showcasing opportunities in Indonesian financial markets
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"""
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import sys
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import os
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import pandas as pd
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import numpy as np
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from datetime import datetime, timedelta
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# Add the project root to the path
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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def demo_indonesian_market_overview():
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"""Overview of Indonesian trading opportunities"""
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print("🇮🇩 Indonesian Market Trading Opportunities")
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print("=" * 60)
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print("Welcome to the Indonesian Financial Markets!")
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print("=" * 60)
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market_segments = {
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'IDX Stocks (Jakarta Stock Exchange)': {
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'description': 'Local Indonesian companies',
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'examples': ['BBCA.JK (BCA)', 'BBRI.JK (BRI)', 'TLKM.JK (Telkom)'],
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'trading_hours': '09:00-16:00 WIB (GMT+7)',
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'currency': 'IDR (Indonesian Rupiah)',
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'min_lot': '100 shares',
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'opportunities': ['Banking sector growth', 'Infrastructure development', 'Consumer goods expansion']
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},
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'USD/IDR Forex': {
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'description': 'Indonesian Rupiah currency trading',
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'examples': ['USDIDR', 'EURIDR', 'JPYIDR'],
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'trading_hours': '24/5 (Global forex hours)',
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'currency': 'IDR pairs',
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'min_lot': 'Varies by broker',
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'opportunities': ['Commodity-driven moves', 'Central bank policy', 'Tourism recovery']
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},
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'International Markets via Indonesian Brokers': {
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'description': 'Global markets through local brokers',
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'examples': ['XAUUSD', 'US stocks', 'Major forex pairs'],
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'trading_hours': 'Varies by market',
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'currency': 'USD typically',
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'min_lot': 'Standard international',
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'opportunities': ['Global diversification', 'USD income', 'Hedge against IDR']
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}
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}
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print("\\n📊 Indonesian Market Segments:")
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for i, (segment, details) in enumerate(market_segments.items(), 1):
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print(f"\\n{i}. {segment}")
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print(f" 📝 Description: {details['description']}")
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print(f" 📈 Examples: {', '.join(details['examples'])}")
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print(f" ⏰ Hours: {details['trading_hours']}")
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print(f" 💰 Currency: {details['currency']}")
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print(f" 🎯 Opportunities: {', '.join(details['opportunities'][:2])}")
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def demo_indonesian_brokers():
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"""Showcase Indonesian brokers with demo accounts"""
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print("\\n🏢 Indonesian Brokers with Demo Accounts")
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print("=" * 60)
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brokers = [
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{
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'name': 'Indopremier Securities (IPOT)',
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'type': 'Local Indonesian Broker',
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'specialties': ['IDX Stocks', 'Local bonds', 'Indonesian mutual funds'],
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'demo_account': 'Yes - Full IDX access',
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'advantages': ['Local market expertise', 'IDR-based trading', 'Indonesian customer service'],
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'website': 'https://www.indopremier.com/',
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'best_for': 'Indonesian stock market and local investments'
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},
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{
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'name': 'XM Indonesia',
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'type': 'International Broker (Indonesia Office)',
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'specialties': ['Forex', 'CFDs', 'Commodities', 'Crypto CFDs'],
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'demo_account': 'Yes - $10,000 virtual',
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'advantages': ['Global markets', 'MT4/MT5 platform', 'Indonesian support'],
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'website': 'https://www.xm.com/id/',
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'best_for': 'Forex and international markets'
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},
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{
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'name': 'OctaFX Indonesia',
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'type': 'International Broker (Popular in Indonesia)',
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'specialties': ['Forex', 'Metals', 'Indices', 'Energies'],
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'demo_account': 'Yes - Unlimited time',
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'advantages': ['Tight spreads', 'Fast execution', 'Indonesian community'],
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'website': 'https://www.octafx.com/id/',
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'best_for': 'Professional forex trading'
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},
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{
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'name': 'HSBC Indonesia',
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'type': 'International Bank',
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'specialties': ['Forex', 'Asian currencies', 'Trade finance'],
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'demo_account': 'Available for qualified clients',
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'advantages': ['Banking integration', 'Asian market focus', 'Multi-currency'],
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'website': 'Contact local HSBC branch',
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'best_for': 'Currency hedging and international business'
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}
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]
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print("\\n🎯 Recommended Brokers for Indonesian Traders:")
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for i, broker in enumerate(brokers, 1):
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print(f"\\n{i}. {broker['name']}")
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print(f" 🏢 Type: {broker['type']}")
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print(f" 📈 Specialties: {', '.join(broker['specialties'][:3])}")
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print(f" 🧪 Demo Account: {broker['demo_account']}")
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print(f" ⭐ Best For: {broker['best_for']}")
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print(f" 🌐 Website: {broker['website']}")
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def demo_idx_stocks_trading():
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"""Demo trading Indonesian stocks"""
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print("\\n📈 IDX Stock Trading Simulation")
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print("=" * 60)
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# Simulate some popular Indonesian stocks
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idx_stocks = [
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{'symbol': 'BBCA.JK', 'name': 'Bank Central Asia', 'price': 9150, 'sector': 'Banking'},
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{'symbol': 'BBRI.JK', 'name': 'Bank Rakyat Indonesia', 'price': 4520, 'sector': 'Banking'},
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{'symbol': 'TLKM.JK', 'name': 'Telkom Indonesia', 'price': 3280, 'sector': 'Telecommunications'},
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{'symbol': 'ASII.JK', 'name': 'Astra International', 'price': 6750, 'sector': 'Automotive'},
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{'symbol': 'UNVR.JK', 'name': 'Unilever Indonesia', 'price': 7100, 'sector': 'Consumer Goods'},
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]
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print("\\n🏦 Popular IDX Stocks (Simulated Prices):")
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print("Symbol | Company | Price (IDR) | Sector")
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print("-" * 70)
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total_portfolio_value = 0
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for stock in idx_stocks:
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# Simulate small price movements
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current_price = stock['price'] * (1 + np.random.uniform(-0.02, 0.02))
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change_pct = ((current_price - stock['price']) / stock['price']) * 100
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# Simulate trading with 1000 IDR capital per stock
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shares_affordable = int(100000 / current_price) # 100k IDR investment
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position_value = shares_affordable * current_price
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total_portfolio_value += position_value
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color = "📈" if change_pct > 0 else "📉" if change_pct < 0 else "➡️"
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print(f"{stock['symbol']:10} | {stock['name']:25} | {current_price:8.0f} {color} | {stock['sector']}")
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print(f"\\n💼 Simulated Portfolio Value: {total_portfolio_value:,.0f} IDR")
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print(f"💰 Equivalent in USD: ${total_portfolio_value/15400:.2f} (assuming 1 USD = 15,400 IDR)")
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def demo_usd_idr_trading():
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"""Demo USD/IDR forex trading"""
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print("\\n💱 USD/IDR Forex Trading Simulation")
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print("=" * 60)
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# Current USD/IDR around 15,400
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base_rate = 15400
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# Simulate daily USD/IDR movements
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days = 30
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dates = pd.date_range(end=datetime.now(), periods=days, freq='D')
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# IDR volatility (typically 0.5-1% daily)
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daily_changes = np.random.randn(days) * 0.008 # 0.8% daily volatility
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rates = base_rate * (1 + daily_changes).cumprod()
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print(f"\\n📊 USD/IDR Rate Simulation (Last {days} days):")
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print(f"Starting Rate: {base_rate:,.0f} IDR per USD")
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print(f"Ending Rate: {rates[-1]:,.0f} IDR per USD")
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print(f"Total Change: {((rates[-1] - base_rate) / base_rate) * 100:+.2f}%")
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# Trading simulation
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position_size = 10000 # $10,000 USD position
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entry_rate = rates[0]
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exit_rate = rates[-1]
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if rates[-1] > rates[0]: # USD strengthened
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pnl_usd = position_size * ((exit_rate - entry_rate) / entry_rate)
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direction = "USD strengthened"
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else: # USD weakened
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pnl_usd = position_size * ((exit_rate - entry_rate) / entry_rate)
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direction = "USD weakened"
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pnl_idr = pnl_usd * exit_rate
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print(f"\\n💹 Trading Simulation:")
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print(f"Position: Long ${position_size:,} USD vs IDR")
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print(f"Entry Rate: {entry_rate:,.0f} IDR/USD")
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print(f"Exit Rate: {exit_rate:,.0f} IDR/USD")
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print(f"Market Move: {direction}")
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print(f"P&L: ${pnl_usd:+,.2f} USD (or {pnl_idr:+,.0f} IDR)")
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def demo_strategy_performance_indonesia():
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"""Test strategies on Indonesian markets"""
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print("\\n🤖 Strategy Performance on Indonesian Markets")
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print("=" * 60)
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from core.brokers.indonesian_brokers import IndopremierBroker
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# Create Indonesian broker instance
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broker = IndopremierBroker(demo=True)
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# Test symbols
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test_symbols = [
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('BBCA.JK', 'Bank Central Asia'),
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('USDIDR', 'USD/IDR Forex'),
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('XAUIDR', 'Gold in IDR')
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]
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print("\\n📈 Testing QuantumBotX Strategies on Indonesian Markets:")
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for symbol, name in test_symbols:
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try:
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# Get simulated market data
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df = broker.get_market_data(symbol, broker.timeframe_map[broker.Timeframe.H1] if hasattr(broker, 'timeframe_map') else 'H1', 500)
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if not df.empty:
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# Calculate basic metrics
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volatility = (df['close'].std() / df['close'].mean()) * 100
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price_range = f"{df['close'].min():.0f} - {df['close'].max():.0f}"
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# Assess suitability for different strategies
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if volatility < 2:
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strategy_rec = "Bollinger Reversion (Low volatility)"
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elif volatility > 5:
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strategy_rec = "Conservative MA Crossover (High volatility)"
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else:
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strategy_rec = "QuantumBotX Hybrid (Moderate volatility)"
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print(f"\\n📊 {symbol} ({name}):")
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print(f" Price Range: {price_range}")
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print(f" Volatility: {volatility:.1f}%")
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print(f" Recommended Strategy: {strategy_rec}")
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print(f" Data Points: {len(df)} bars")
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else:
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print(f"\\n❌ {symbol}: No data available")
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except Exception as e:
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print(f"\\n❌ {symbol}: Error - {e}")
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def demo_regulatory_compliance():
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"""Indonesian regulatory information"""
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print("\\n⚖️ Indonesian Regulatory Compliance")
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print("=" * 60)
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regulatory_info = {
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'Primary Regulator': {
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'name': 'OJK (Otoritas Jasa Keuangan)',
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'role': 'Financial Services Authority',
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'website': 'https://www.ojk.go.id/',
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'oversight': 'Banks, capital markets, insurance, pension funds'
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},
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'Stock Exchange': {
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'name': 'IDX (Indonesia Stock Exchange)',
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'location': 'Jakarta',
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'website': 'https://www.idx.co.id/',
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'trading_currency': 'Indonesian Rupiah (IDR)'
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},
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'Key Regulations': [
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'Foreign investment limits in certain sectors',
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'Tax obligations for trading profits',
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'Anti-money laundering (AML) requirements',
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'Know Your Customer (KYC) procedures'
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],
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'Tax Considerations': [
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'Capital gains tax on stock trading',
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'Forex trading taxation rules',
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'Withholding tax on foreign investments',
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'Professional trader vs investor classification'
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]
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}
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print("\\n🏛️ Regulatory Framework:")
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print(f"Primary Regulator: {regulatory_info['Primary Regulator']['name']}")
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print(f"Stock Exchange: {regulatory_info['Stock Exchange']['name']}")
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print("\\n⚠️ Important Considerations:")
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for consideration in regulatory_info['Key Regulations'][:3]:
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print(f" • {consideration}")
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print("\\n💰 Tax Implications:")
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for tax_item in regulatory_info['Tax Considerations'][:3]:
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print(f" • {tax_item}")
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print("\\n📝 Recommendation:")
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print(" • Consult with Indonesian tax advisor")
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print(" • Understand local broker regulations")
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print(" • Keep detailed trading records")
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print(" • Consider professional trader registration if applicable")
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def main():
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"""Main Indonesian market demo"""
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print("🇮🇩 SELAMAT DATANG! Welcome to Indonesian Market Trading!")
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print("Your QuantumBotX system now supports Indonesian markets!")
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print()
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# Run all demos
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demo_indonesian_market_overview()
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demo_indonesian_brokers()
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demo_idx_stocks_trading()
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demo_usd_idr_trading()
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demo_strategy_performance_indonesia()
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demo_regulatory_compliance()
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print("\\n" + "=" * 60)
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print("🎯 NEXT STEPS FOR INDONESIAN TRADING")
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print("=" * 60)
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next_steps = [
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{
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'step': '1. Choose Your Indonesian Broker',
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'recommendation': 'Start with XM Indonesia demo (easiest setup)',
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'action': 'Sign up for demo account at xm.com/id/'
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},
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{
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'step': '2. Add Indonesian Configuration',
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'recommendation': 'Update .env file with Indonesian broker credentials',
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'action': 'Add XM_INDONESIA_LOGIN and XM_INDONESIA_PASSWORD'
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},
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{
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'step': '3. Test IDX Stocks Strategy',
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'recommendation': 'Start with banking stocks (BBCA, BBRI, BMRI)',
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'action': 'Run backtests on Indonesian blue-chip stocks'
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},
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{
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'step': '4. Explore USD/IDR Trading',
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'recommendation': 'Great for Indonesian traders to earn USD',
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'action': 'Test forex strategies on USD/IDR pair'
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},
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{
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'step': '5. Regulatory Compliance',
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'recommendation': 'Understand Indonesian tax obligations',
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'action': 'Consult with local financial advisor'
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}
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]
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for step_info in next_steps:
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print(f"\\n{step_info['step']}")
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print(f" 💡 Recommendation: {step_info['recommendation']}")
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print(f" 🎯 Action: {step_info['action']}")
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print("\\n🎉 AMAZING OPPORTUNITY!")
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print("=" * 60)
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print("You're now building a trading system that covers:")
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print("✅ Global Forex (MT5, cTrader, XM)")
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print("✅ Cryptocurrency (Binance)")
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print("✅ US Stocks (Interactive Brokers)")
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print("✅ Social Trading (TradingView)")
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print("✅ Indonesian Markets (Local brokers)")
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print()
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print("🌏 FROM INDONESIA TO THE WORLD!")
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print("Your trading system now spans the entire globe! 🚀")
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if __name__ == "__main__":
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main()
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@@ -1,310 +0,0 @@
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#!/usr/bin/env python3
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"""
|
||||
Multi-Broker Universe Demo for QuantumBotX
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Shows how to trade across all major platforms simultaneously
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"""
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import sys
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import os
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import pandas as pd
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import numpy as np
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from datetime import datetime
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# Add the project root to the path
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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def demo_all_brokers():
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"""Demonstrate all broker integrations"""
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print("🌍 QuantumBotX Multi-Broker Universe Demo")
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print("=" * 60)
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print("Your trading system now supports ALL major platforms!")
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print("=" * 60)
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brokers_info = [
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{
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'name': 'MetaTrader 5',
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'type': 'Forex/CFD Platform',
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'assets': ['EURUSD', 'GBPUSD', 'XAUUSD', 'US30', 'AAPL'],
|
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'advantages': ['Most forex brokers', 'Expert Advisors', 'Built-in indicators'],
|
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'best_for': 'Forex and traditional CFD trading'
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},
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{
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'name': 'Binance',
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'type': 'Crypto Exchange',
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'assets': ['BTCUSDT', 'ETHUSDT', 'ADAUSDT', 'SOLUSDT', 'DOGEUSDT'],
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'advantages': ['24/7 trading', 'High liquidity', 'Low fees'],
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'best_for': 'Cryptocurrency trading and DeFi'
|
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},
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{
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'name': 'cTrader',
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'type': 'Modern Forex Platform',
|
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'assets': ['EURUSD', 'GBPUSD', 'USDJPY', 'XAUUSD', 'USOIL'],
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'advantages': ['Advanced charting', 'Level II pricing', 'Fast execution'],
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'best_for': 'Professional forex trading'
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},
|
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{
|
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'name': 'Interactive Brokers',
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'type': 'Multi-Asset Broker',
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'assets': ['AAPL', 'ES', 'EURUSD', 'GC', 'Options'],
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'advantages': ['Global markets', 'Low commissions', 'Advanced tools'],
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'best_for': 'Stocks, futures, and options'
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},
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{
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'name': 'TradingView',
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'type': 'Social Trading Platform',
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'assets': ['All markets', 'Pine Script', 'Social signals'],
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'advantages': ['Community strategies', 'Advanced charts', 'Alerts'],
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'best_for': 'Strategy development and social trading'
|
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}
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]
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print("\\n🏢 Broker Overview:")
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print("=" * 60)
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for i, broker in enumerate(brokers_info, 1):
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print(f"\\n{i}. {broker['name']} ({broker['type']})")
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print(f" 📈 Assets: {', '.join(broker['assets'][:3])}{'...' if len(broker['assets']) > 3 else ''}")
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print(f" ⭐ Best For: {broker['best_for']}")
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print(f" 🎯 Key Advantages: {', '.join(broker['advantages'][:2])}")
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return brokers_info
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def demo_unified_portfolio():
|
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"""Show how to create a unified portfolio across all brokers"""
|
||||
print("\\n💼 Unified Portfolio Management")
|
||||
print("=" * 60)
|
||||
|
||||
portfolio_allocation = {
|
||||
'MT5 (Forex)': {
|
||||
'allocation': '30%',
|
||||
'symbols': ['EURUSD', 'GBPUSD', 'USDJPY'],
|
||||
'strategy': 'QuantumBotX Hybrid',
|
||||
'capital': '$3,000'
|
||||
},
|
||||
'Binance (Crypto)': {
|
||||
'allocation': '25%',
|
||||
'symbols': ['BTCUSDT', 'ETHUSDT', 'ADAUSDT'],
|
||||
'strategy': 'MA Crossover (Crypto-tuned)',
|
||||
'capital': '$2,500'
|
||||
},
|
||||
'cTrader (Forex Pro)': {
|
||||
'allocation': '20%',
|
||||
'symbols': ['XAUUSD', 'USOIL'],
|
||||
'strategy': 'Bollinger Reversion',
|
||||
'capital': '$2,000'
|
||||
},
|
||||
'Interactive Brokers (Stocks)': {
|
||||
'allocation': '20%',
|
||||
'symbols': ['AAPL', 'MSFT', 'TSLA'],
|
||||
'strategy': 'Quantum Velocity',
|
||||
'capital': '$2,000'
|
||||
},
|
||||
'TradingView (Signals)': {
|
||||
'allocation': '5%',
|
||||
'symbols': ['Community strategies'],
|
||||
'strategy': 'Pine Script alerts',
|
||||
'capital': '$500'
|
||||
}
|
||||
}
|
||||
|
||||
print("\\n📊 Portfolio Distribution ($10,000 total):")
|
||||
print("-" * 60)
|
||||
|
||||
total_expected_return = 0
|
||||
|
||||
for broker, details in portfolio_allocation.items():
|
||||
print(f"\\n{broker}")
|
||||
print(f" 💰 Capital: {details['capital']} ({details['allocation']})")
|
||||
print(f" 📈 Assets: {', '.join(details['symbols'][:3])}")
|
||||
print(f" 🤖 Strategy: {details['strategy']}")
|
||||
|
||||
# Simulate expected returns
|
||||
expected_monthly = np.random.uniform(2, 8) # 2-8% monthly return
|
||||
total_expected_return += expected_monthly * float(details['allocation'].strip('%')) / 100
|
||||
print(f" 📊 Expected Monthly Return: {expected_monthly:.1f}%")
|
||||
|
||||
print(f"\\n🎯 Portfolio Expected Monthly Return: {total_expected_return:.1f}%")
|
||||
print(f"🎯 Portfolio Expected Annual Return: {total_expected_return * 12:.1f}%")
|
||||
|
||||
def demo_risk_management():
|
||||
"""Show unified risk management across all brokers"""
|
||||
print("\\n🛡️ Unified Risk Management System")
|
||||
print("=" * 60)
|
||||
|
||||
risk_rules = [
|
||||
{
|
||||
'rule': 'Maximum Portfolio Risk',
|
||||
'value': '15% of total capital',
|
||||
'implementation': 'Sum of all open positions across all brokers'
|
||||
},
|
||||
{
|
||||
'rule': 'Per-Broker Risk Limit',
|
||||
'value': '5% per broker maximum',
|
||||
'implementation': 'Individual broker position sizing limits'
|
||||
},
|
||||
{
|
||||
'rule': 'Correlation Protection',
|
||||
'value': 'Max 3 correlated positions',
|
||||
'implementation': 'Cross-broker correlation monitoring'
|
||||
},
|
||||
{
|
||||
'rule': 'Volatility Scaling',
|
||||
'value': 'Dynamic position sizing',
|
||||
'implementation': 'ATR-based sizing per asset class'
|
||||
},
|
||||
{
|
||||
'rule': 'Emergency Brake',
|
||||
'value': 'Auto-stop at 10% daily loss',
|
||||
'implementation': 'Real-time P&L monitoring across all accounts'
|
||||
}
|
||||
]
|
||||
|
||||
print("\\n🔒 Global Risk Rules:")
|
||||
for i, rule in enumerate(risk_rules, 1):
|
||||
print(f"\\n{i}. {rule['rule']}: {rule['value']}")
|
||||
print(f" Implementation: {rule['implementation']}")
|
||||
|
||||
def demo_24_7_opportunities():
|
||||
"""Show 24/7 trading opportunities"""
|
||||
print("\\n⏰ 24/7 Global Trading Opportunities")
|
||||
print("=" * 60)
|
||||
|
||||
trading_schedule = [
|
||||
{'time': '00:00-08:00 UTC', 'active': ['Crypto (Binance)', 'Forex (Asian session)'], 'opportunity': 'Crypto volatility + Asian forex'},
|
||||
{'time': '08:00-16:00 UTC', 'active': ['All Forex', 'European Stocks', 'Crypto'], 'opportunity': 'European session overlap'},
|
||||
{'time': '13:00-17:00 UTC', 'active': ['US Stocks (IB)', 'US/EU Forex overlap', 'Crypto'], 'opportunity': 'Maximum liquidity window'},
|
||||
{'time': '17:00-00:00 UTC', 'active': ['Crypto (Binance)', 'Asian prep', 'After-hours'], 'opportunity': 'Crypto focus + overnight gaps'}
|
||||
]
|
||||
|
||||
print("\\n🌍 Global Trading Sessions:")
|
||||
for session in trading_schedule:
|
||||
print(f"\\n⏰ {session['time']}")
|
||||
print(f" 🎯 Active: {', '.join(session['active'])}")
|
||||
print(f" 💡 Opportunity: {session['opportunity']}")
|
||||
|
||||
print("\\n🔥 Never Miss a Move:")
|
||||
print(" • Forex: 24/5 traditional markets")
|
||||
print(" • Crypto: 24/7/365 never stops")
|
||||
print(" • Stocks: Pre/post market + global exchanges")
|
||||
print(" • Commodities: Global futures markets")
|
||||
|
||||
def demo_integration_benefits():
|
||||
"""Show the benefits of integrated multi-broker system"""
|
||||
print("\\n🚀 Integration Benefits")
|
||||
print("=" * 60)
|
||||
|
||||
benefits = [
|
||||
{
|
||||
'category': 'Market Coverage',
|
||||
'benefits': [
|
||||
'Trade forex, crypto, stocks, and commodities',
|
||||
'Access to global markets 24/7',
|
||||
'Never limited by single broker restrictions'
|
||||
]
|
||||
},
|
||||
{
|
||||
'category': 'Risk Diversification',
|
||||
'benefits': [
|
||||
'Spread risk across multiple platforms',
|
||||
'Reduce broker-specific risks',
|
||||
'Currency and asset class diversification'
|
||||
]
|
||||
},
|
||||
{
|
||||
'category': 'Strategy Optimization',
|
||||
'benefits': [
|
||||
'Different strategies for different markets',
|
||||
'Platform-specific advantages utilization',
|
||||
'Cross-market arbitrage opportunities'
|
||||
]
|
||||
},
|
||||
{
|
||||
'category': 'Operational Excellence',
|
||||
'benefits': [
|
||||
'Single dashboard for all trading',
|
||||
'Unified risk management',
|
||||
'Consolidated reporting and analytics'
|
||||
]
|
||||
}
|
||||
]
|
||||
|
||||
for benefit_group in benefits:
|
||||
print(f"\\n📈 {benefit_group['category']}:")
|
||||
for benefit in benefit_group['benefits']:
|
||||
print(f" ✅ {benefit}")
|
||||
|
||||
def main():
|
||||
"""Main demo function"""
|
||||
print("🎉 Welcome to the Financial Universe!")
|
||||
print("Your QuantumBotX system now connects to EVERYTHING!")
|
||||
print()
|
||||
|
||||
# Demo all components
|
||||
brokers_info = demo_all_brokers()
|
||||
demo_unified_portfolio()
|
||||
demo_risk_management()
|
||||
demo_24_7_opportunities()
|
||||
demo_integration_benefits()
|
||||
|
||||
print("\\n" + "=" * 60)
|
||||
print("🎯 IMPLEMENTATION ROADMAP")
|
||||
print("=" * 60)
|
||||
|
||||
roadmap = [
|
||||
{
|
||||
'phase': 'Week 1: Crypto Integration',
|
||||
'tasks': ['Set up Binance testnet', 'Test crypto strategies', 'Validate risk management'],
|
||||
'impact': 'Add 24/7 trading capability'
|
||||
},
|
||||
{
|
||||
'phase': 'Week 2: cTrader Setup',
|
||||
'tasks': ['Create cTrader demo account', 'Test modern forex features', 'Compare with MT5'],
|
||||
'impact': 'Enhanced forex trading experience'
|
||||
},
|
||||
{
|
||||
'phase': 'Week 3: Interactive Brokers',
|
||||
'tasks': ['Set up TWS paper trading', 'Test stock strategies', 'Explore futures'],
|
||||
'impact': 'Access to US stocks and global markets'
|
||||
},
|
||||
{
|
||||
'phase': 'Week 4: TradingView Integration',
|
||||
'tasks': ['Set up webhook alerts', 'Create Pine Script strategies', 'Social trading'],
|
||||
'impact': 'Community-driven strategy development'
|
||||
},
|
||||
{
|
||||
'phase': 'Month 2: Unified Platform',
|
||||
'tasks': ['Portfolio manager', 'Cross-broker risk management', 'Performance analytics'],
|
||||
'impact': 'Complete multi-broker trading ecosystem'
|
||||
}
|
||||
]
|
||||
|
||||
for i, phase in enumerate(roadmap, 1):
|
||||
print(f"\\n{i}. {phase['phase']}")
|
||||
print(f" 📋 Tasks: {', '.join(phase['tasks'][:2])}...")
|
||||
print(f" 🎯 Impact: {phase['impact']}")
|
||||
|
||||
print("\\n" + "=" * 60)
|
||||
print("🏆 THE BIG PICTURE")
|
||||
print("=" * 60)
|
||||
print("\\n🌟 What You're Building:")
|
||||
print(" • Universal Trading Platform - One system, all markets")
|
||||
print(" • Risk-Managed Portfolio - Diversified across asset classes")
|
||||
print(" • 24/7 Profit Machine - Never miss opportunities")
|
||||
print(" • Future-Proof Architecture - Ready for any new broker")
|
||||
|
||||
print("\\n💰 Potential Impact:")
|
||||
current_profit = 4649.94
|
||||
projected_increase = 2.5 # Conservative 2.5x increase
|
||||
projected_profit = current_profit * projected_increase
|
||||
|
||||
print(f" Current Demo Profit: ${current_profit:,.2f}")
|
||||
print(f" With Multi-Broker: ${projected_profit:,.2f} (estimated)")
|
||||
print(f" Improvement Factor: {projected_increase}x")
|
||||
|
||||
print("\\n🎉 Congratulations!")
|
||||
print("You've just designed a trading system that rivals")
|
||||
print("what hedge funds and prop trading firms use!")
|
||||
print("\\nFrom learning to trade → Building a financial empire! 🚀")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,59 +0,0 @@
|
||||
# testing/test_ctrader_broker.py
|
||||
import unittest
|
||||
from unittest.mock import patch
|
||||
from datetime import datetime
|
||||
from core.brokers.ctrader_broker import CTraderBroker
|
||||
|
||||
class TestCTraderBroker(unittest.TestCase):
|
||||
"""
|
||||
Test cases for the cTrader broker implementation, focusing on market hours.
|
||||
"""
|
||||
|
||||
def setUp(self):
|
||||
"""Set up a CTraderBroker instance for testing."""
|
||||
self.broker = CTraderBroker(demo=True)
|
||||
|
||||
@patch('core.brokers.ctrader_broker.datetime')
|
||||
def test_is_market_open_weekday(self, mock_datetime):
|
||||
"""Test that the market is open on a standard weekday."""
|
||||
# Wednesday, 12:00 UTC
|
||||
mock_datetime.utcnow.return_value = datetime(2023, 1, 4, 12, 0, 0)
|
||||
self.assertTrue(self.broker.is_market_open())
|
||||
|
||||
@patch('core.brokers.ctrader_broker.datetime')
|
||||
def test_is_market_closed_saturday(self, mock_datetime):
|
||||
"""Test that the market is closed on Saturday."""
|
||||
# Saturday, 12:00 UTC
|
||||
mock_datetime.utcnow.return_value = datetime(2023, 1, 7, 12, 0, 0)
|
||||
self.assertFalse(self.broker.is_market_open())
|
||||
|
||||
@patch('core.brokers.ctrader_broker.datetime')
|
||||
def test_is_market_opens_sunday_evening(self, mock_datetime):
|
||||
"""Test that the market opens on Sunday evening."""
|
||||
# Sunday, 22:01 UTC (market is open)
|
||||
mock_datetime.utcnow.return_value = datetime(2023, 1, 8, 22, 1, 0)
|
||||
self.assertTrue(self.broker.is_market_open())
|
||||
|
||||
@patch('core.brokers.ctrader_broker.datetime')
|
||||
def test_is_market_closed_sunday_morning(self, mock_datetime):
|
||||
"""Test that the market is closed on Sunday morning."""
|
||||
# Sunday, 10:00 UTC (market is closed)
|
||||
mock_datetime.utcnow.return_value = datetime(2023, 1, 8, 10, 0, 0)
|
||||
self.assertFalse(self.broker.is_market_open())
|
||||
|
||||
@patch('core.brokers.ctrader_broker.datetime')
|
||||
def test_is_market_closes_friday_evening(self, mock_datetime):
|
||||
"""Test that the market closes on Friday evening."""
|
||||
# Friday, 22:01 UTC (market is closed)
|
||||
mock_datetime.utcnow.return_value = datetime(2023, 1, 6, 22, 1, 0)
|
||||
self.assertFalse(self.broker.is_market_open())
|
||||
|
||||
@patch('core.brokers.ctrader_broker.datetime')
|
||||
def test_is_market_open_friday_morning(self, mock_datetime):
|
||||
"""Test that the market is open on Friday morning."""
|
||||
# Friday, 10:00 UTC (market is open)
|
||||
mock_datetime.utcnow.return_value = datetime(2023, 1, 6, 10, 0, 0)
|
||||
self.assertTrue(self.broker.is_market_open())
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user