Sigma Computing Consulting for Energy and Commodities Firms

Stop assembling the daily market report in a spreadsheet before the desk opens. We build Sigma workbooks on Snowflake that refresh on their own and let anyone open any past day.

The short answer

We build Sigma workbooks on Snowflake for daily market reports, prices and spreads, positions and P&L, and cargo or freight activity. The report that someone assembled by hand each morning refreshes and sends itself, and the desk can compare today with any day in the history.

Where the Hours Go Today

  • Someone builds the daily market report in a spreadsheet before the desk opens.
  • The report goes out as a static file, so comparing with last week means finding an old one.
  • Prices, trades and fixtures sit in different systems and exports.
  • The whole report depends on one workbook and the person who maintains it.

Sigma Workbooks We Build

Daily Market Report
The printed layout the desk already reads, rebuilt in Sigma on dated Snowflake tables, with a date picker to open any past day.
Prices, Spreads and Curves
Assessed prices, spreads and forward curves by product and location, with history to compare against any past date.
Positions and P&L
Open positions and daily P&L by book, trader and product, read from the same tables as the market views.
Freight and Fixture Activity
Fixtures, rates and vessel or cargo activity by route and week, joined to the trades they support.

Why Sigma Fits

Any past day, one click away
With history stored in dated Snowflake tables, a date control in Sigma reopens the report as it stood on any day.
Reports that send themselves
Refresh and scheduled exports by email, Slack or Teams run without anyone opening the file.
Traders keep a spreadsheet feel
The grid works like Excel on live warehouse data, and input tables let users enter marks and notes that are stored in the warehouse.

5 hrs to 30 min

a week producing a commodity brokerage daily market report, rebuilt in Sigma

Read the case study

Data We Connect

  • Trading and risk management system
  • Price assessment and market data feeds
  • Fixture and freight data
  • Exchange and broker statements
  • Accounting system
  • Excel models and manual marks
  • Snowflake

Common questions

Is Sigma good for commodity trading reports?

Sigma fits trading and brokerage teams that work in spreadsheets and keep, or are moving, their market and trade data to a cloud warehouse such as Snowflake. We rebuilt a commodity brokerage daily market report this way.

Can Sigma reproduce a printed daily report?

Yes. We recreate the layout readers already know in Sigma, then check it against the original spreadsheet cell by cell before switching.

Can we look at the report as of a past date?

Yes, if the history is stored in dated tables. We set up Snowflake so each day is kept, then add a date picker in Sigma.

How long does a Sigma build take?

It depends on your sources and how much history you need. In our commodity brokerage project, both daily reports were live in about a month.

Bring the report that eats your week

We'll look at it with you and say what Sigma would save. No pitch deck.

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