Live Status Endpoints
Publish compact operational data from your bot or server for remote viewing.
- Bot online / offline state
- Open position status
- Last update timestamp
- Selected strategy metrics
I build monitoring and integration layers for MT5 Expert Advisors and Python trading bots — including status endpoints, REST APIs, webhooks, Telegram alerts, remote dashboards and operational logging.
A trading bot is easier to operate when you can see its status, receive useful alerts and expose the right data to external tools without opening direct access to the trading terminal.
Publish compact operational data from your bot or server for remote viewing.
Connect trading systems to external services through controlled HTTP endpoints.
Send or receive event-driven notifications when defined trading or system events occur.
Receive concise remote alerts without watching the terminal continuously.
Display operational information in a lightweight web interface or status panel.
Improve visibility into failures, execution flow and unexpected behavior.
The integration layer can be kept deliberately simple: publish only the data you need, protect endpoints, avoid exposing broker or exchange credentials and separate monitoring from execution where practical.
Expose operational information without giving a public interface unnecessary control over the trading engine.
Protect custom endpoints with simple authentication where appropriate.
Handle unavailable endpoints or network errors without blocking the main trading loop.
Publish compact JSON or webhook data that is easy to consume from websites, scripts or monitoring tools.
A common setup keeps the bot responsible for trading while a separate web layer displays only the information you choose to publish.
TRADING BOT / EA
↓
STATUS PUBLISHER
↓
REST ENDPOINT / WEBHOOK
↓
WEB DASHBOARD
↓
TELEGRAM / REMOTE VIEW
Typical data:
• Bot state
• Current symbol
• Position state
• Last trade event
• Balance snapshot
• Last successful update
• Error / warning statusChoose which events, metrics and system states need to be visible remotely.
REST API, webhook, Telegram, dashboard or a combination depending on the system.
Add the publishing or receiving logic to the MT5, Python or web side of the project.
Check authentication, malformed requests, unavailable endpoints and timeout behavior.
Connect the integration to the live server or trading environment with practical diagnostics.
Monitoring and API work can often be added to an existing trading system without changing the core strategy logic.
Send selected MT5 status information to a web endpoint for remote display.
Expose controlled status or integration endpoints from a Python trading service.
Display live or near-live trading system information on a private or public web page.
Yes. An EA can publish selected data to a web endpoint, which can then be displayed in a dashboard or status widget. The exact architecture depends on the hosting and MT5 environment.
It can be designed that way, but read-only monitoring is usually simpler and safer. Any remote control function should be narrowly defined and protected.
Yes, in many cases. The bot can send messages for entries, exits, errors, heartbeats and other defined events.
Yes. Depending on the project, API keys or other access controls can be added. Sensitive broker or exchange credentials should not be exposed through public endpoints.
It should not be designed to block critical trading logic. Publishing and error handling can be structured so temporary web or network failures do not stop the main strategy loop.
Often, yes. Send a short description of the current system, where it runs and what you want to monitor or connect.
Tell me what system you already have, where it runs and what information or events you want to publish, receive or monitor.
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