Signal & Automation
Channel mirroring is reading the messages of a Telegram channel or group you belong to and acting on them automatically, so a trade posted in the channel is reproduced on your own account; it differs from copy trading in that the source is a message feed, not a linked master account.
Most paid and free signal communities publish on Telegram, and most of them are private channels that only members can read. Mirroring is what turns those posts into trades without you being awake when they arrive. Because the source is text, the quality of mirroring depends on parsing, and because a channel can post anything, from entries to "close half" to jokes, the mirror has to know which messages are signals, which are updates to an existing position, and which are noise.
AlgoVesta connects to your own Telegram account, which is how it can read private channels you are a member of; the content stays between you and the platform. You choose which channels a bot listens to, and only those channels are processed. Each message is parsed into a signal, an update to an open position (close, move stop to entry, cancel) or ignored, and every decision is recorded so you can see why a message did or did not trade. Signals go through the bot's risk rules and are executed on your exchange or MetaTrader 5 account under your own size and protection settings. A channel can be mirrored into paper mode first with a virtual balance to see how its format is parsed. Sessions are kept alive on AlgoVesta's servers, so mirroring continues while your phone is off. Details are on the Telegram automation page and in the Telegram connection guide.
A trader joins a private channel and adds it to a crypto bot with $100 margin per signal and a required stop. Over a week the channel posts 40 messages: 12 are parsed as entries and executed, 6 are updates that move stops or close positions, 3 are entries blocked by the open-position limit, and 19 are chat and are ignored. Each of the 40 appears in the bot's signal log with its classification.