03 / 05 Commodity & market intelligence
Follow the markets to buy and plan better.
Shifts in commodity markets affect costs, margins and planning decisions. We help companies follow the signals that matter, understand what drives prices and prepare for different scenarios.
In short
Simia Tech analyses commodity markets and builds price forecasts and scenarios to support purchasing, pricing and planning decisions. It covers energy, metals, agriculture and petrochemicals, as well as niche markets such as coal chemicals and coking coal. Rawdar, the platform we built, tracks more than 60 commodities.
- Who it is for
- Purchasing, trading, risk management and planning teams exposed to commodity prices.
- What we deliver
- Market analysis, forecasts and scenarios, alerts and ongoing monitoring.
- Real example
- Rawdar: hourly market data, forecasts up to 6 months ahead and AI news analysis.
Commodities & markets
How we can help
- 01
Market analysis
Bringing together price, supply, demand and other relevant data for each commodity.
- 02
Forecasts and scenarios
Exploring how prices could evolve over horizons that match the decision at hand.
- 03
Purchasing and pricing support
Connecting market information with procurement needs, costs and commercial policy.
- 04
Ongoing monitoring
Organising indicators and alerts so that important changes don’t go unnoticed.
Process
How we work
- 01
Exposure
We start by understanding the company’s exposure to each market and the decisions it needs to support.
- 02
Drivers
We select the information sources and analyse the main drivers of change.
- 03
Scenarios
We build forecasts or scenarios suited to the context, presented so that purchasing, management and planning teams can discuss and use them.
FAQ
Frequently asked questions
Which commodities do you cover?
Energy, metals, agriculture, carbon allowances and petrochemicals, as well as niche markets with little public data, such as coal chemicals and coking coal. Rawdar tracks more than 60 commodities.
Can you include our own prices?
Yes. In niche markets, we integrate the client’s own price series, with dedicated forecasts and a weekly AI-generated research report, visible only to those with access.
How far ahead do the forecasts go?
In Rawdar, up to 6 months ahead, with 50% and 80% confidence bands, shown alongside the EIA’s Short-Term Energy Outlook.
How often is market data updated?
In Rawdar, futures prices from exchanges such as NYMEX, COMEX, CBOT, ICE and LME are collected automatically every hour.
Real case
A real product, built by us.
Rawdar is a SaaS platform we created for purchasing, trading and risk management teams, serving multiple clients. It puts everything we do in this area into practice.
Our own product · Rawdar
Commodity market data on a single screen.
A SaaS platform that brings together up-to-date prices, machine-learning forecasts and AI news analysis for purchasing, trading and risk management teams.
Web · tablet · mobile · light and dark modes
- Energy
- Metals
- Agriculture
- Carbon allowances
- Steel
- Coking coal
- Iron ore
- Petrochemicals
01Where is the price?
- NYMEX
- COMEX
- CBOT
- ICE
- LME
Futures curve
02Where is it going?
- 50% band
- 80% band
- EIA (STEO)
03Why?
AI market summary
- Short- and long-term sentiment
- Sources cited
04The client’s private data
- Own price series
- Dedicated forecasts
- Weekly AI research report
The challenge
Anyone who buys or sells commodities makes decisions every day based on scattered information: quotes from several exchanges, reports from agencies such as the EIA, news from multiple sources and, often, internal price series that live in Excel spreadsheets. Pulling all of this together takes analysts hours. By the time the information reaches decision-makers, the market has already moved.
What was missing was a tool that answered, in one place, the three questions that matter: where is the price? Where is it going? Why?
The solution
We designed and built Rawdar, a platform that automates the whole cycle, from data collection to interpretation, and presents it in a clear dashboard designed for decision-makers.
Technology
An asynchronous Python (FastAPI) back end on PostgreSQL, with automated data pipelines and built-in scheduling. A React dashboard and a Next.js admin console. Machine learning for forecasts and generative AI (LLMs) for news analysis. Everything runs in Docker containers, with public access protected by Cloudflare.
Three questions, one platform
- 01
Where is the price: market data that is always up to date
Futures prices from exchanges such as NYMEX, COMEX, CBOT, ICE and LME are collected automatically every hour. Users get a full daily history, candlestick charts, monthly statistics and the futures curve, which shows at a glance whether the market is in contango or backwardation.
- 02
Where is it going: machine-learning forecasts
Proprietary predictive models project prices up to 6 months ahead, with 50% and 80% confidence bands. Forecasts appear side by side with those of the EIA (Short-Term Energy Outlook), so users see both the expected value and the degree of uncertainty.
- 03
Why: news interpreted by AI
The platform collects news, removes duplicates and uses generative AI to write a market summary for each commodity. Each summary gives the short- and long-term sentiment (bullish or bearish) and cites its sources. Instead of reading dozens of articles, users read one summary.
- 04
The client’s private data alongside the market
In niche markets such as coal chemicals or coking coal, the platform integrates the client’s own price series. Each series has dedicated forecasts and a weekly AI-generated research report, visible only to those with access.
Need to anticipate a market shift?
Tell us which commodities you follow and which decisions depend on how they move.
Or write to info@simia-tech.com