Trade tagging is the practice of labeling or categorizing trades with custom tags for analysis. Tags are keywords (like “breakout”, “news”, “mean-reversion”, or even “weather” or “emotion”) that describe conditions or strategies relevant to that trade. Journaling platforms let traders apply multiple tags to each trade entry. For example, a Forex robot’s long EUR/USD trade might be tagged “LondonOpen” and “TrendFollowing”. Later, one can filter the journal by tags to compare performance across these categories. This is powerful for algorithmic traders: by tagging trades according to different bot strategies or market scenarios, they can quickly see which setup is most profitable. As CoinMarketMan’s guide explains, tags allow monitoring of “conditions that were present when a trade was taken” and make it easy to review all trades with the same labels. In effect, trade tagging turns the journal into a database – e.g. click on tag “DXY support test” to see all trades taken in that context, helping optimize specific strategy components.

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