Platform

Market Data: Prices, News & Indicators

Prices moved overnight. Which of the commodities you buy or hold got cheaper, which got dearer — and, the part that actually decides what you do next, is the cause durable or a headline that will be forgotten by Thursday? Answering that well normally means a morning spent across a price screen, a news wire and a macro database, stitching a story together by hand. Market Lens puts the three in one place: a categorised board of live prices, a news layer that has already been read for you, and the macroeconomic series that drive both.

The Commodity Prices board

The Commodity Prices workspace is your at-a-glance market board. Every commodity your subscription includes appears there, grouped by category — energy, metals, agricultural, industrial, livestock, electricity and index funds. Each row carries the latest spot price, the recent change colour-coded green when it is up and red when it is down, and a category badge, so you can scan the whole board by asset class in a few seconds rather than opening a page per name.

Click a commodity and its detail page opens with an interactive historical price chart and news-event dots plotted directly on the price line — each dot coloured by sentiment and revealing its headline when you hover. Below the chart sit insight cards written for your persona, a Market Drivers panel summarising the strongest cause-and-effect chains pulled from recent news, a Market News feed, a sortable historical-prices table, and an export button.

1. Scan the board by category — Start with the category groups rather than the alphabet. Reading energy as a block, then metals as a block, tells you within seconds whether you are looking at a single name moving or a whole complex repricing — and those are very different mornings.
2. Drill into a commodity — Click the name to open its detail page. The chart is the anchor: actual price history, with everything else on the page arranged to explain the shape of that line.
3. Hover the news dots to see what moved the price — Each dot sits on the trading day it belongs to and is coloured by sentiment, so a cluster of negative dots under a sharp drop is the story in one glance. Hover any one to read the headline behind it.
4. Read the Market Drivers panel for why the line bends — The panel ranks the cause-and-effect chains currently pushing the price, each with the move observed since that news was published. It is the difference between knowing a price rose and being able to say what was pushing it.
5. Star your watchlist commodities — Click the star on any commodity you follow. Starred names collect into a Favorites group pinned at the top of the sidebar, so tomorrow you start from your own basket instead of the full catalogue.
6. Export the price series — Use the export button to pull the historical series out as CSV or Excel when the number has to land in your own model, budget file or board pack.

What it means in practice: the colour-coded change is your instant read on whether your exposure got cheaper or dearer overnight, and the news markers are what stop that read from being a guess. When copper jumps you can see on the chart itself whether it was a mine disruption or a demand surprise — the same context you would otherwise assemble by hand from a dozen sources before your first meeting.

News & market sentiment

The news layer runs across the whole platform rather than living on a page of its own. Real-time financial news is read by AI and enriched into three things: a sentiment reading of bullish, bearish or neutral; the cause-and-effect chain the article describes; and the likely market impact. Those enrichments then surface in the three places where you are already looking.

This is what separates a durable, fundamentally-driven move from a transient headline reaction before you commit to anything. The sentiment badges let you triage a morning's news in a minute, the source attribution lets you decide how much weight a story deserves, and the Drivers panel tells you which of several competing narratives is the one with a measured price impact behind it. AI-written summaries are decision support rather than advice — read them as a fast synthesis to check against the underlying data, never as the last word.

Economic Indicators

The Economic Indicators workspace is a macroeconomic library covering GDP, labour, prices, money supply, trade, housing, business confidence, consumer activity, energy, climate, government and markets, across many countries. Navigation works on three levels: category tabs across the top, a searchable indicator list in the left sidebar, and a country-comparison table in the main panel showing each country's latest value, its percent change and a sparkline. An optional continent filter narrows the comparison to a region's peers.

Commodity prices are driven by the macro economy, and this is where you watch those drivers directly rather than inferring them from the price. Falling manufacturing confidence in a major consuming economy points to softening industrial-metals demand; a labour or housing surge points the other way. Comparing peer countries side by side is what tells you whether demand is genuinely building across a region or whether one market is an outlier — which is the difference between anticipating a move and reacting to it.

Favorites & data export

• Star any commodity on its detail page and it pins into a Favorites group at the top of the sidebar; click the star again to remove it. This turns the full catalogue into your personal watchlist, which is the single highest-return minute you can spend in the platform.
• Export historical prices from any commodity detail page as CSV or Excel.
• Export forecast data the same way from a forecast detail page, straight into your own spreadsheets, planning models and board decks with no manual re-keying.

One note on scope: you see exactly the commodities your organisation's subscription includes, which keeps the board focused on your markets rather than the full catalogue. If a commodity you expected is missing, that is almost always the reason — contact your account manager about adding coverage. Once you know what moved and why, the next question is where it goes from here: that is Price Forecasts: Monthly & Daily.