Biko Agozino

speaker

44 appearances 1 recordings 1 series first heard Jul 2026 last heard 10 Jul

Biko Agozino’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Making Sense · What’s driving the systematic shift in commodities trading? · 10 Jul 2026 podcast

However, OTC is not directly fungible with futures.

And so you may have some basis between OTC and futures if you trade both of those products.

And as a result, having visibility and ability to manage your risk around that is very important.

Yeah, absolutely.

If we take precious metals, a lot of the precious metals API proliferation happen naturally because we can onboard precious metals just like any other FX pair.

And so when clients are integrating with us for FX, they can just ask what other pairs are able to trade over this exact same specification, this same API, and we can give a list of non-deliverable forwards, we can give a list of precious metals, pairs, et cetera.

Now with a commodities, unfortunately it's a slightly different fixed specification and so that requires slightly different integration.

However, what we're seeing a lot of interest in is also that API integration.

While previously a lot of the trading may have been over voice and the futures market with futures brokers, if you want to access OTC liquidity, you don't necessarily need to just go to voice or just go on a single dealer platform.

You can also access

By an OTC provider giving you an API.

What we're um seeing more and more interest in on is be it cash settled, physical, or even cleared as a give up on exchange, can we provide this API capability so that our clients are able to manage their systematic trading on their side, integrated into JP Morgan's technology to be able to trade on an automated basis without necessarily having to go for

through our single dealer platform Execute or by trading with a voice salesperson.

it'd be crazy for us not to use it as a productivity tool in order to um help develop our algorithms and expand to new markets quicker.

However, it it still does provide the same bottlenecks with regards to delivery in general as like we have to ensure that the the system is safe and secure before we put it out of production and that is like a sort of manual oversight that is required in order to ensure that we're operating on safe footing.

it doesn't necessarily speed up the the rollout to production phase, but we're able to prototype and iterate much quicker in a non production environment thanks to some of these new AI tools.

But look, um quantitative trading has always been very data driven.

And one of the aspects around that is that like you need data in order to make decisions and to update your view of where the market is going.

But if there is some idioshock and it's moved expansively

beyond the points of regular mean reversion, how do you detect that?

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