Step 3 focuses on configuring FREQTRADE CONFIG.JSON with enabled Telegram settings, including token, chat_id, and notification options like startup, entry, entry_fill, exit, and protection_trigger.

Look ahead to Lesson 18 with a teaser on Web UI and API usage, hinting at deeper integration topics.

Use well-timed notification triggers for alerts such as startup, onentry, onentry_fill, onexit, onexit_fill, onprotection_trigger, and onstatus, while avoiding overly frequent alerts.

Core takeaways emphasize securing the bot token, thoughtfully configuring notifications, and mastering the common commands to monitor trading activity.

Learning verification criteria include successful bot creation, receipt of trading notifications, and familiarity with the core commands.

Practical examples show how to check current positions and daily P/L via Telegram responses, including sample status and daily profit outputs.

Telegram commands you’ll use regularly include /start, /status, /profit, /daily, /stats, /performance, /balance, /whitelist, and /help for bot interaction.

Step 2 involves retrieving the chat_id by messaging the bot and querying getUpdates through Python or the Telegram API.

To get started, follow practical, step-by-step tasks: create the Telegram bot, obtain the API token and chat_id, configure config.json, restart Freqtrade, and test with a dry-run using /start to receive the first notification.

Introductory overview: the lesson teaches receiving trading signals through a Telegram Bot and controlling a trading robot remotely via bot creation and configuration.

Step 1 covers creating a Telegram Bot with BotFather, including naming conventions, obtaining the API token, and keeping the token confidential.