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Power Apps can host a prototype hedge desk dashboard that brings sample market data, order sizing, and positions into one tablet-sized canvas app. It is aimed at makers and procurement or trading teams that want to explore a visual workflow without placing real trades. Power BI Professionals demonstrates a Claude Code-assisted build, with prompts pasted into Power Apps Studio.
The example is a canvas app for a fictional manufacturer's procurement hedge desk. Its stated purpose is to help a buying team view sample metal prices and prepare an order for desk approval; it is not connected to a trading system. A hedge, in this context, is an agreement intended to lock in a future purchase price and reduce exposure to price movements.
The app layout groups several desk functions together: market depth for the selected metal, a price chart, top movers, an order ticket, and a positions table. Market depth lists sample buy and sell prices with bars representing the quantity waiting at each price. The spread is the gap between the lowest displayed sell price and the highest displayed buy price.
The chart has four time-range controls—24H, 7D, 1M, and 6M—and a switch between candlesticks and a line chart. Candlesticks show open, close, high, and low values for a period. The top movers section ranks five metals by their daily movement; selecting one changes the metal shown in both the chart and market depth.
This is a starting point for Power Apps makers who want to build or adapt a canvas app for an internal business workflow. It is also a useful interface concept for procurement teams that need to review sample prices, estimate order size, and route a proposed order for human approval. The demonstrated layout is specified for a tablet at 1366 by 768.
The build uses Claude Code to generate app content from prompts, then pastes that content into Power Apps Studio. The description identifies the app as using Power Apps only, with no connectors. Its sample prices, order book, and positions are held in collections inside the app, rather than supplied by a live market-data feed or external trading platform.
The example does not depend on a live data connection to demonstrate the interface. Its safety boundaries are part of the initial specification: prices are samples, and orders go only to a desk for approval. That distinction matters if you adapt the design, because the displayed values and positions are illustrative rather than operational market information.
Power Apps documentation covers pasting code in canvas app code view and the Power Apps YAML format. Those references are relevant when following a code-assisted build, but the app’s safety and data behavior still depend on how its formulas and data sources are configured.
The key limitation is that this is a self-contained sample app, not a live trading or market-data solution. The prices, positions, and order book are sample values held in app collections. The order action adds a row to the app; it does not send an order to a broker or execute a trade. The fictional desk’s displayed performance is also an illustrative figure, not evidence of actual trading results.
Before adapting the design, verify which data is sample data and where it is stored, and make the approval boundary visible to users. A collection-based prototype is suitable for demonstrating layout and interactions, but live business use would require decisions about data sources, permissions, validation, and the actual approval process. Those elements are not part of the demonstrated no-connector app.
Keep the risk controls in the app specification and test both order directions and position views in Preview. The example’s order ticket calculates notional and shows how much of a stated desk limit an order would use, but those figures remain part of the sample experience. Treat the app as a prototype for workflow discussion, not as trading advice or an execution tool.
No. The example uses sample data, and its Send action adds a row to the app's positions collection for desk approval. It does not execute a trade.
It calculates notional by multiplying the entered tonnes by the price. The example also displays how much of the desk's stated limit the order would use.
The sample prices, positions, and order book are kept in collections inside the app. The described build uses no connectors.
Selecting a metal in Top Movers changes the selected metal in both the chart and market depth.