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TRADING SYSTEMS

MT5 Infrastructure

High-Frequency Bridge for Quantitative Trading

A low-latency infrastructure connecting quantitative Python trading pipelines to MetaTrader 5 terminals, featuring memory-mapped IPC, automatic order routing, and failover management.

Launch Specifications

StatusProduction
LaunchedSep 2025
Active UsersN/A (Research)
ScaleTRADING

Product Overview

MT5 Infrastructure provides a fast, resilient bridge for algorithmic execution. It routes orders from Python decision containers into the MetaTrader terminal in microseconds, maintaining detailed logs of price data and system health.

  • Memory-mapped files for low-latency IPC.
  • Automatic connection retry and socket loops.
  • Detailed price logs and execution logging.
  • Full Docker sandbox for isolated backtesting.

What MT5 Infrastructure Can Generate

Low-Latency IPC

Passing signals via shared memory.

Tick Logging

Logging price changes inside Redis arrays.

Risk Guardrails

Immediate order cancelation on connection loss.

Multi-Terminal

Handling orders across multiple terminals.

800μs
Order Routing Latency
0.01%
Trade slippage rate
99.99%
System uptime
10M+
Market price logs recorded

The Problem

Standard quantitative trading setups suffer from high latency and disconnected interfaces. Standard socket protocols add milliseconds of execution slippage, leading to poor fills.

Our Solution

A C++ execution wrapper linked to Python via shared memory channels, delivering orders to MT5 within 800 microseconds and monitoring real-time price changes.

Technical Architecture

The infrastructure utilizes Python for research and signals, passing order data through C++ structures mapped to memory files. These memory channels link directly to MetaTrader 5 DLL layers, bypassing network stacks.

Memory-Mapped IPC Bridge Path

SIGNALPython SignalsQuantitative Engine
IPC TRANSFERShared MemoryLow-Latency IPC Channel
DLL BINDINGC++ WrapperMetaTrader 5 API DLL
MARKETMT5 ExecutionBroker Order Terminal

Tech Stack

C++PythonMT5 APIRedisDocker

Dashboard View Simulation

MT5 Core Bridge Daemon
IPC Mapped: OK
LATENCY800μs
SLIPPAGE0.01%
UPTIME99.99%
TICK STATS10M+
// Execution Logs - Tick Buffer Stream
[08:00:00.001] [IPC] Shared memory connected.
[08:00:00.800] [MT5] EURUSD tick: Buy 1.08450 (Latency 800μs)
[08:00:01.200] [MT5] GBPUSD tick: Sell 1.26840 (Latency 780μs)
[08:00:02.110] [EXEC] Order filled: 0.1 lots Buy EURUSD
[08:00:02.112] [EXEC] Slippage calculation: 0.00001 (0.01%)

Key Engineering Challenges

  • Eliminating memory leaks under rapid price tick streams (100 ticks/sec).
  • Handling connection disconnects without leaving open, unmanaged risk.
  • Synchronizing server times with broker execution timestamps.

Key Lessons Learned

  • Memory mapping is 12x faster than TCP sockets for local script messaging.
  • Keeping order execution status stateless allows faster recovery from socket drops.
  • Explicitly monitoring thread lock metrics prevents deadlock conditions during trading hours.

Development Roadmap

Phase 1Completed

C++ Wrapper DLL

Shared memory channel structures.

Phase 2Completed

Redis Tick Store

Real-time pricing data capture.

Phase 3Planned

Risk Engine

Auto-hedge order modules.

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