A cocoa trader was fixed on a screen showing $10.75 per kilogram somewhere in Abidjan at the start of 2025. It was the highest price cocoa had reached in 60 years. By December of the same year, that screen read under $6,000 a tonne. Entire confectionery earnings reports had been rewritten around those numbers. Mondelēz alone warned of a 10% drop in adjusted EPS, blamed squarely on cocoa.
Grain and oilseeds ran another version of the same story. A potential US-China trade reshuffle had analysts modelling Brazilian soybean exports at record levels while US growers braced for pressure on prices. The World Bank's agricultural price index was down almost 7%. Fertiliser prices kept climbing.
And yet it’s flat prices where traders lose the most sleep. The headline print on wheat or soy or cocoa is what everyone talks about, while the outcome for any given shipment is decided elsewhere, in the terms that sit behind it.
A position can look perfectly hedged and still lose money when basis shifts overnight. A delayed certificate holds it at port while costs build. In cocoa, a trader can call the market right and still lose because the origin premium moved against them, while someone else can be wrong on price and still come out ahead if the crush spread holds.
Quoreka's agricultural solutions and the Eka CTRM platform were built for traders who live in the details. The sections below cover basis, contract specifications, logistics and the analytical machinery that holds everything together.
Basis risk: the trade inside the trade
Basis is the difference between a physical price and a futures price. A farmer in Iowa selling corn doesn't sell directly into Chicago Board of Trade futures. Instead, they sell to a local elevator, which pays them the CBOT price minus a basis, maybe 30 cents under the December contract. That 30 cents reflects the cost of getting grain from Iowa to Chicago, adjusted by local supply and the margin the elevator builds in. It’s shaped by the conditions in that part of the market.
Basis is treated as a minor adjustment in a plenty of commentary on commodity trading. It’s not. Basis is constantly moving and independent of the futures board. A trader who sold corn at 30 cents under December and hedged their bets with a futures short is protected against the flat price falling. What the hedge doesn’t protect against is basis weakening from 30-under to 50-under before the cargo moves. Twenty cents per bushel on a cargo of 100,000 bushels is $20,000 of margin gone, and the futures position shows no sign of issues.
When the hedge works and the position still loses money
West African cocoa shows the same pattern, only at a larger scale. A grinder buying Ivorian beans for a March shipment is exposed to ICE New York futures plus an Ivorian origin premium. In early 2025, when supply concerns were at their peak and certified stocks were near record lows, that origin premium moved aggressively against buyers. Ivory Coast's mid-crop was projected at just 400,000 tonnes, down 20% from the historical norm, and the market responded by demanding a bigger premium to secure physical beans. Anyone short cocoa futures as a hedge against inventory saw the hedge working on the flat price while the physical position leaked money through the premium.
Understanding basis in theory is often the easy part. Tracking it in practice is where the work lies. A trading desk might have hundreds of open positions running against different futures contracts, all with different currencies and settlement dates. The trader needs a real-time view of which ones are still hedged and which have stopped being.
Real-time visibility across physical and financial positions is the reason a CTRM platform exists in the first place. Eka CTRM puts a physical contract, its futures hedge and its valuation on one screen. Without it, a trader is reconciling three spreadsheets to answer a single question: has the origin premium moved against me overnight? By the time the spreadsheets line up, the loss is already on the book.
Contract specifications: why a tonne is never just a tonne
A wheat contract isn’t a promise to deliver a tonne of wheat. Rather, its aim is to deliver a tonne of wheat that meets a long list of conditions. Protein content, moisture, test weight, foreign matter, sprout damage, falling number – each one has a target and a tolerance band. Miss the target, and the buyer takes a discount on the price. Miss it by enough, and the buyer can reject the cargo.
A US hard red winter wheat contract might specify an 11.5% protein minimum, a 13.5% moisture maximum and a 60 pounds per bushel test weight. A cargo that comes in at 10.8% protein will still sell, but at a discount that can run to a dollar or more per bushel. On a 50,000-tonne cargo, the discount runs into the millions. The trader who booked the cargo against a futures hedge didn’t hedge that discount.
Origin and certification, which now decide whether a cargo can move
The same rules apply to oilseeds and cocoa, with an extra layer on top. A buyer in Rotterdam paying for Brazilian soybeans has a different price from a buyer paying for Argentine soybeans, even when the futures board is the same. The difference comes from how the cargo grades out, combined with the reality of getting it from origin to destination.
Certification adds another layer, and there is more of it every year. The EU Deforestation Regulation, phased in through 2025 and 2026, requires traders to prove that cocoa, soy, palm, coffee, timber, rubber and beef cargoes entering the EU weren’t produced on land deforested after December 2020. A cocoa shipment without a valid due diligence statement won’t clear customs. The cargo sits while demurrage accrues, and the buyer chases the seller for an explanation.
How a platform handles contract specifications
Every specification in a physical contract sits inside it as a clause. A CTRM platform needs to capture each clause at the point of trade and carry it through to execution while flagging any mismatch the moment the cargo is tested.
Eka CTRM does this at the contract level. Take a soybean contract entered at trade capture. The record that holds the price also keeps every term that defines the cargo. When the cargo is loaded and sampled, the quality results post against the contract. If the oil content comes in half a point low, the discount is calculated automatically against the contract's price formula, and the updated valuation flows straight into the position and P&L.
Without that link between the contract and the quality data, a trader finds out about a discount when the invoice comes in from the buyer two weeks later. By then the position has been wrong on the books for two weeks.
Location, logistics, and the gap between flat price and landed price
A soybean in Santos is not the same as a soybean in Paranaguá
A soybean trader quotes prices in a strange dialect. "June FOB Santos, 180 over May Chicago" is an address. FOB Santos means the cargo is priced free on board at the Port of Santos in Brazil. 180 over May Chicago means 180 cents per bushel above the May CBOT soybean futures contract. Change the port to Paranaguá and the number moves with it. Change the month to July and it moves again. Change the destination to a Chinese crusher in Dalian and a freight rate is layered on top.
A trader selling soybeans out of Brazil to a crusher in Europe is working with at least four different prices at once, and the crush margin (that’s the difference between the cost of the beans and the value of the oil and meal they produce after crushing) only survives if all of them stay in the trader's favour.
The crush margin is the difference between the cost of the beans and the value of the oil and meal they produce after crushing and is what makes the trade profitable or not. It depends on every one of those moving parts lining up.
Where Quoreka fits in
A platform that treats a soybean trade as a single flat-price bet has already failed the trader. Eka CTRM models the trade as a chain, including…
- Origin basis
- Freight
- Destination basis
- Currency
- Financing cost
When the Baltic Dry Index moves, freight re-prices automatically, and the trade's projected margin updates in the same view. When the real weakens against the dollar, the FX exposure on the Brazilian purchase shows up against the euro proceeds in Rotterdam. On one screen, a trader can see whether a month of work is still going to make money at current market levels.
What happens when logistics lives in a separate system
Brazil's soybean export goal of reaching a record 110 million metric tonnes is the type of headline that looks bullish for Brazilian traders. For any trader whose logistics data lives in a separate ERP for commodities, it’s a warning. Record export volumes mean port congestion, and port congestion means demurrage. Demurrage leads to costs the trader didn’t build into the original crush margin calculation.
A vessel sitting off Santos for ten extra days eats into the margin a trader priced in three months ago, and no one sees it until month-end reconciliation if the CTRM platform isn’t tracking position and laytime against the contract.
The trader who made money on Brazilian soy knew exactly how much of their margin had just walked out of the door on the day a vessel was launched.
Ticketing, P&L, and the machinery that holds a book together
A trade doesn't exist until it's in the system. The moment a trader agrees a deal on the phone, a ticket has to go in and include price, volume, counterparty, delivery terms, payment terms and every clause that was negotiated. If the ticket sits in someone's notebook for two hours before it’s typed up, the position on the screen is wrong for two hours. Every decision made against that screen is built on stale information.
Most trading businesses still have a lag between a deal being agreed and it showing up in the book. That lag can go from a few hours to a couple of days. In that time, exposures can move and hedges can fall out of line. By the time month end comes around, the finance team may end up spending a week working back through what happened and when.
Eka CTRM removes the delay because deals are entered from a phone at a port or in a warehouse, but the real benefit is that the book reflects what’s happening without waiting for paperwork to catch up.
Real-time P&L is the difference between knowing and guessing
P&L in commodity trading moves as the market moves, as cargoes are loaded, and as quality and freight costs change. A trader who only sees P&L at 6pm is trading blind for most of the day.
The Eka platform ships with more than 80 pre-configured analytics cubes that re-value positions continuously. At any point, a cocoa grinder with 40,000 tonnes of physical inventory against a futures short can see what the book is worth at current ICE prices, origin premiums, FX. When cocoa futures fell by more than 50% across 2025, the grinders who had real-time visibility were able to act on the move as it happened. The ones who were running position reports overnight were making decisions on yesterday's market.
Sensitivity analysis: the question traders actually need answered
The question a trader asks at 4pm on a weekday is "what happens to my P&L if the market moves 3% against me overnight?" That's sensitivity analysis, and it's the part of the job that spreadsheets tend to be bad at.
Quoreka's Trinity platform runs scenarios across the whole trading book. A trader can shock the wheat curve up by 20 cents and see the impact on every position in the book within seconds.
The same engine runs every other risk analysis the trader needs, from historical stress tests to what-ifs on a single contract. The analysis isn't limited by what the trader thought to ask this morning, as they can ask something new and get an answer immediately.
What changes when the machinery works
A commodity trading business that runs on a real CTRM platform no longer has to worry about end-of-month surprises. The reconciliation reduces because the data was right in the first place. The risk conversations become more on point because the numbers everyone is looking at are the same numbers. The trader who used to spend the weekend rebuilding a weekly position report gets that time back.
The benefits of running on a modern CTRM platform show up in the quality of the decisions a business is able to make when the market moves fast, and in agriculture that's all the time.
The reaction window
Traders in 1996 were tracking the same variables traders in 2026 are tracking. Basis moved then too. Quality has always been important, and logistics continue to shape the landed price more than the flat price did.
What's changed is the speed at which the variables move, and the number of them a single desk is exposed to at once.
A cocoa grinder 30 years ago worried about West African weather and ICE futures. A cocoa grinder now is concerned about West African weather, ICE futures, swollen shoot virus, an Ivorian presidential election, EUDR compliance deadlines, a dollar that moves overnight on a single Fed comment, and a demand side that's actively reformulating recipes to use less cocoa.
The reaction window is shorter than it used to be, with the cost of getting any single piece of it wrong higher.
Spreadsheets kept up with the old pace, but they can't with this one. If your business is running its book on Excel and a shared drive, you can still close your months and pay farmers, but you can't tell the CEO what a 3% move in the soy complex would do to the quarter. If, however, your business has those capabilities, suddenly you're working with better visibility.
A CTRM platform makes all the difference by giving a trader the ability to see what's happening in the book while it's still happening, and to act on it before the market has moved on.
See how Quoreka's agricultural solutions and the Eka CTRM platform handle basis, specifications, logistics and real-time P&L in a single view. Speak to an expert about what a modern CTRM platform would look like for your trading desk.
May 21, 2026
