The Platform Built for Algorithmic Traders
Trust Points
- Bank-Level SecurityYour API keys and trading data are encrypted with AES-256 and stored in SOC 2 compliant infrastructure. We never have withdrawal permissions on your exchange accounts.
- 99.9% Uptime SLAOur distributed execution infrastructure runs across multiple regions with automatic failover. Your strategies keep trading even during maintenance windows.
- Trusted by 10,000+ TradersProfessional traders, hedge funds, and individual investors execute over $500M in monthly trading volume through AlgoTrade Pro.
- Paper Trading SandboxTest every strategy in a risk-free simulated environment with real market data before deploying capital. Perfect your approach without financial exposure.
Feature Set
Automated Strategy Execution
Deploy your custom trading algorithms with millisecond precision. Our execution engine supports Python CCXT scripts and MQL5 Expert Advisors, running 24/7 with zero manual intervention. Backtest strategies against historical data before going live.
Institutional-Grade Risk Management
Protect your capital with built-in guardrails: per-trade risk limits, maximum drawdown controls, daily loss thresholds, and position sizing automation. Every trade is validated against your risk parameters before execution.
Multi-Exchange Connectivity
Connect to 50+ crypto exchanges and major forex brokers through unified APIs. Trade BTC, ETH, EUR/USD, and hundreds of other assets from a single platform. Automatic failover ensures uninterrupted execution.
Real-Time Performance Analytics
Monitor every metric that matters: win rate, Sharpe ratio, maximum drawdown, profit factor, and more. Drill down into individual trades, compare strategy performance, and export detailed reports for tax and compliance.
Platform Tour
Everything you need in one interface
Explore the AlgoTrade Pro dashboard and see how professional traders automate their strategies.
Launch dashboard
Everything your team is shipping, in one view.
Strategy Builder
Visual editor for creating and testing trading algorithms without writing code. Drag-and-drop indicators, set entry/exit rules, and backtest instantly.
Live Market Data
Real-time price feeds from all connected exchanges. Sub-second latency ensures your algorithms react to market movements instantly.
Active Positions Monitor
Track all open trades in real time. See current P&L, stop loss levels, and time in position at a glance.
Risk Dashboard
Live view of your risk exposure across all strategies. Automatic alerts when approaching daily loss limits or position caps.
Execution Logs
Complete audit trail of every order, fill, and cancellation. Debug strategy issues and verify execution quality.
import ccxt import os from algotrade import Strategy, RiskManager # Initialize exchange connection exchange = ccxt.binance({ 'apiKey': os.getenv('BINANCE_API_KEY'), 'secret': os.getenv('BINANCE_SECRET'), 'enableRateLimit': True }) # Define strategy parameters strategy = Strategy( symbol='BTC/USDT', timeframe='15m', indicators={ 'ema': {'period': 20}, 'rsi': {'period': 14}, 'macd': {'fast': 12, 'slow': 26, 'signal': 9} } ) # Configure risk management risk = RiskManager( max_risk_per_trade=0.01, # 1% of account max_positions=2, daily_loss_limit=0.03, # 3% daily drawdown stop_loss=0.015, # 1.5% stop take_profit=0.03 # 3% target ) # Entry logic def check_long_signal(candles): price = candles[-1]['close'] ema = strategy.calculate_ema(candles) rsi = strategy.calculate_rsi(candles) return price > ema and rsi < 30 def check_short_signal(candles): price = candles[-1]['close'] ema = strategy.calculate_ema(candles) rsi = strategy.calculate_rsi(candles) return price < ema and rsi > 70 # Main execution loop while True: candles = exchange.fetch_ohlcv(strategy.symbol, strategy.timeframe) if risk.can_trade(): if check_long_signal(candles): strategy.open_long(risk.calculate_position_size()) elif check_short_signal(candles): strategy.open_short(risk.calculate_position_size()) strategy.manage_positions() time.sleep(60)