Buy Side Participants
A clearer view of your trading activity across counterparties.

Keep reconciliation aligned with the way you trade.

Multiple accounts, partial fills, and average prices can make a straightforward comparison difficult. Adding investors or clearing relationships introduces further requirements for matching and reporting.

Theorem compares internal records and allocation instructions with counterparty data, supporting individual, grouped, and weighted-average matches. Configurable tolerances help distinguish permitted price differences from discrepancies that require investigation.

Verify allocation instructions against clearing records

Use instructions from your existing allocation process as a source for reconciliation. Review whether the corresponding activity appears in clearing records and investigate differences in accounts, quantities, or prices.

Review unresolved activity as data arrives

Update matching results as new records become available. The timing of those results depends on the underlying feeds; missing activity may require follow-up with the source.

Make internal and broker records comparable.

Commodity systems and clearing brokers may represent the same instrument using different identifiers, units, or price conventions. Those differences need to be understood before records can be compared or combined in a report.

Theorem’s normalization and mapping tools help bring supported source data into a common structure for reconciliation and reporting. Configuration starts with the conventions used by your firm and its counterparties.

Consolidate clearing information

Bring positions, balances, and trading activity together across clearing relationships, with views organized around the accounts and products your team needs to monitor.

Investigate differences in the underlying records

Compare internal and counterparty data to identify where records diverge. Your team can review the relevant details and determine whether the difference reflects a reporting convention or an issue requiring correction.

Investigate breaks with the relevant data together.

An unresolved trade can mean reviewing internal records, checking broker files, and exchanging details with counterparties. When information sits in separate systems, assembling the evidence becomes part of the investigation.

Theorem brings those records together and highlights probable discrepancies. Teams can filter matching results, examine unresolved activity, and share relevant reports or exports with the parties involved.

Match around your existing systems

Use data from internal records, allocation files, or other supported sources to reconcile against counterparty activity. Matching requirements are configured around the records available and the checks your firm needs.

Build reporting around operational responsibilities

Create views and recurring outputs for positions, balances, P&L, and reconciliation activity. Teams retain responsibility for reviewing exceptions and confirming that corrections have been completed.

Consolidate the view without losing the account detail.

Oversight across managers and accounts requires both an aggregate picture and the ability to investigate individual records. Differences in source formats and reporting schedules can make that difficult to maintain.

Theorem helps consolidate available account and counterparty data into consistent views. Your team can group information for broader oversight, then examine the underlying detail when a balance, position, or reconciliation result needs attention.

The scope of that view depends on the data your firm is authorized to receive and the connections established for each account.