Tradefeedr: FX execution analytics, forecasting and shared trading data

The main distinction is between understanding an execution and selecting how to execute the next order. Post-trade tools compare fills, costs and market impact; pre-trade forecasting uses historical observations to estimate an algorithm’s likely behaviour. A trading desk can use those results for broker reviews, liquidity allocation or an execution-policy discussion.[3][8]

The Algo workflow links the client’s parent instruction, including amendments, with the provider’s child fills. LSEG’s overview identifies those as the essential inputs for meaningful analysis; extra events such as order placements and rejections can also be analysed where supplied. The platform also provides execution-speed studies, single-order drill-down, backtesting, forecasting and trend reports.[3]

LSEG describes Algo Forecasting as selecting candidate bank algorithms using currency pair, trade size, time of day, liquidity conditions and the user’s risk policy. The model draws on observed trades and cost estimates. A forecast is a decision-support output; it does not lock in a future fill price or execution duration.[8]

Tradefeedr also publishes a browser-based environment with an integrated Python workspace. Traders can use templates and configurable dashboards; developers can extract raw transactional tick data and calculated statistics into internal applications. This provides a route to reuse the analysis beyond a single screen.[2]

LSEG’s April 2026 description places Tradefeedr analytics inside a workflow spanning data, execution context and counterparty collaboration. Its current FX workflow page describes natural-language access and shared performance reports. Those functions concern retrieving and discussing analytics; they do not, by themselves, confer authority on a Tradefeedr assistant to place a trade.[10][11]

The current public platform and API pages do not provide a standard per-seat, per-provider, data-volume or API-call tariff. LSEG’s Tradefeedr catalogue offers a trial-enquiry route; it does not specify a universal trial duration or production entitlement. Commercial access should therefore be tied to the direct or integrated service actually being supplied.[6][7]

The platform normalises the underlying trading records before applying common analytics. Collaboration then adds a separate permission layer: a client can choose to share anonymised, aggregated measures with its liquidity provider or pool data with peers. Shared dashboards and notebooks support the subsequent discussion. Data access and permission to share it are distinct decisions.[2]

The LSEG notebook demonstrates calls through the LSEG Data Platform and an LSEG Data Library session. It is useful implementation material for that distribution route, not proof that the same authentication or entitlement model applies to every direct Tradefeedr deployment. The public quick start links to the notebook and Tradefeedr’s own analytics documentation.[5][6]

Tradefeedr’s policy provides an IT service-desk route for recovery requests, but no public response-time target, recovery-time objective or recovery-point objective was identified. Its general contact route is not evidence of a 24-hour trading desk. Contracted operational support and retention terms remain separate from the website policies.[16]

This profile covers trading analytics supplied by a technology company. The documented outputs are data, performance measures, forecasts and reports. Brokerage execution and custody remain functions of the separately contracted trading institutions and platforms; a Tradefeedr integration is not a retail brokerage permission or custody arrangement.[1][7]

The Tradefeedr AI function in LSEG’s note is analytical: it translates a user’s intended analysis into a structured request and supports discussion of results. This should be separated from LSEG’s other AI or dealing functions, which have their own descriptions and controls in the same document.[9]

Tradefeedr Limited is an active Northern Ireland private company, number NI645020, incorporated on 4 April 2017. Companies House lists its registered office at Murray House, 4 Murray Street, Belfast BT1 6DN. This corporate identity is separate from the trading firms and technology partners connected to its network.[18]

The company identifies Balraj Bassi as co-founder and chief executive, Dr Alexei Jiltsov as co-founder, Seth Johnson as chairman and Tim Cartledge as chief data officer. Its published team history combines FX trading, quantitative finance and electronic-market experience, and it lists Michael Spencer’s IPGL among its investor relationships.[17]

Operator

Tradefeedr Limited

Service scope

Institutional FX trade-data normalisation, transaction-cost analytics, algorithm forecasting and permissioned client/LP collaboration. APIs and browser tools are available directly and through documented partners; equities/futures expansion is a separate announced pilot.

Customer types

Asset managers and institutional investors; Corporates; Regional banks and brokers; Liquidity providers; Trading platforms; Market-data vendors

Delivery

SaaS; API

Pricing publication

Not disclosed

Platforms

Tradefeedr browser analytics; Tradefeedr APIs; Algo Forecasting

Integrations

LSEG Workspace; LSEG Data Platform; Microsoft Teams: LSEG analytics workflow; FlexTRADER EMS; MarketFactory; Reactive Markets Switchboard; BMLL: equities/futures pilot

Pricing scope

Current full tariff not published. Historical buy-side zero-fee statement is dated December 2021 and is not treated as a universal current entitlement.

Implementation

Normalised trade-data feeds, browser templates/Python workspace and documented APIs. Partner ingestion may require explicit opt-in; bilateral aggregate sharing is separately permissioned. LSEG supplies worked API examples for its distribution channel.

Support

Published [email protected] enquiry/complaint route, IT service desk for recovery requests and partner developer documentation. Public support hours, response targets and RTO/RPO were not established.

Permissions and regulatory scope

Tradefeedr is profiled as an analytics/data technology supplier. Company registration and security statements do not confer brokerage or custody permissions. Execution and custody remain with the separately contracted institutions.

Provider metadata checked 21 Oct 2026Source 1Source 2Source 3Source 4Source 16Source 18Source 14Source 7Source 5Source 8Source 9Source 12Source 13Source 15

BMLL and Tradefeedr’s March 2026 project invites participants to shape metrics, validate data quality and provide feedback on benchmarks and reporting for equities and futures. The announcement describes a pilot built on harmonised historical datasets and existing Tradefeedr distribution. It should not be read as a completed launch of every BMLL asset class within the standard FX product.[15]