Synchronous vs Asynchronous Methods - When to Use What (Go)¶
Understanding execution models in GoMT4: non-blocking streaming vs synchronous execution.
🎯 Quick Comparison¶
Go uses goroutines, channels, and context.Context for concurrency. Streaming methods stream into buffered channels, while requests use timeouts.
| Aspect | Asynchronous Pattern | Synchronous Call |
|---|---|---|
| Thread Blocking | ❌ Non-blocking (high concurrency) | ✅ Blocks current thread |
| Throughput | ✅ Handles thousands of events/sec | ❌ Limited by thread pool |
| Real-Time Data | ✅ Perfect for tick & trade streams | ⚠️ Inefficient for streams |
| Simplicity | Requires async runtime awareness | Simple, linear execution |
| Recommended for | Automated bots, microservices, GUIs | CLI scripts, notebooks, one-offs |
🚀 When to Use Asynchronous Methods (Recommended)¶
1. Market Data Streaming¶
Market ticks arrive at microsecond intervals during peak sessions. Asynchronous handlers ensure zero tick drops without freezing your execution thread:
client, err := mt.NewMT4Account(user, password, grpcServer)
ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
defer cancel()
err = client.ConnectByServerName(ctx, serverName, "EURUSD")
summary, err := client.AccountSummary(ctx)
fmt.Printf("Balance: %.2f, Equity: %.2f\n", summary.Balance, summary.Equity)
2. High-Frequency Order Execution¶
When operating across multiple currency pairs simultaneously, asynchronous dispatch allows your bot to send orders concurrently rather than sequentially.
💡 Summary¶
Always prefer asynchronous paradigms for production bots, multi-symbol trading, and background services. Use synchronous wrappers for quick setup scripts, testing, or exploratory analysis.