Freqtrade provides a builtin webserver, which can serve [FreqUI](https://github.com/freqtrade/frequi), the freqtrade frontend.
By default, the UI is automatically installed as part of the installation (script, docker).
freqUI can also be manually installed by using the `freqtrade install-ui` command.
This same command can also be used to update freqUI to new new releases.
Once the bot is started in trade / dry-run mode (with `freqtrade trade`) - the UI will be available under the configured API port (by default `http://127.0.0.1:8080`).
??? Note "Looking to contribute to freqUI?"
Developers should not use this method, but instead clone the corresponding use the method described in the [freqUI repository](https://github.com/freqtrade/frequi) to get the source-code of freqUI. A working installation of node will be required to build the frontend.
The theme of the screenshots on this page will adapt to the selected documentation Theme, so to see the dark (or light) version, please switch the theme of the Documentation.
The Cors error shown in this screenshot is due to the fact that the UI is running on a different port than the API, and [CORS](#cors) has not been setup correctly yet.
### Trade view
The trade view allows you to visualize the trades that the bot is making and to interact with the bot.
On this page, you can also interact with the bot by starting and stopping it and - if configured - force trade entries and exits.
FreqUI Plots can be configured either via a `plot_config` configuration object in the strategy (which can be loaded via "from strategy" button) or via the UI.
Multiple plot configurations can be created and switched at will - allowing for flexible, different views into your charts.
The plot configuration can be accessed via the "Plot Configurator" (Cog icon) button in the top right corner of the trade view.
When freqtrade is started in [webserver mode](utils.md#webserver-mode) (freqtrade started with `freqtrade webserver`), the backtesting view becomes available.
This view allows you to backtest strategies and visualize the results.
You can also load and visualize previous backtest results, as well as compare the results with each other.
