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Spreadex Trading

Reimagining trading ideas into a conversion-focused product

I led the launch of Trading Signals across mobile, tablet and desktop at Spreadex Financials, turning technical market analysis into a live, actionable product experience. The aim was to make trading ideas easier to discover, easier to understand, and much faster to act on — especially for newer or less active users who would otherwise struggle to find opportunities themselves.

Built on top of a third-party API provider, the feature combined a real-time feed of buy and sell signals, detailed market context, educational content, personalised filtering, and pre-filled order and trade tickets. I owned the product across the full journey, from strategy and UX through to analytics, launch, and post-release optimisation in a regulated environment.

Outcomes

Signals now drives 10% of new user activations

14,155 feed views from 814 clients in the first 16 days

8,582 clicks into signal detail pages from 454 clients

1,268 order/trade clicks leading to 373 completed orders or trades by 72 clients

5 first-ever trades placed through Signals

2 lapsed clients reactivated through Signals, with another placing an order not yet triggered

£2,491 bet value generated in the first two weeks post launch

Strong early retention, with daily viewing and trading activity remaining steady after release

70+ custom watchlists used as market filters, 450+ settings changes, and 2,700 Education Hub views showing healthy feature engagement

Trading Ideas at a Glance

A live, scannable feed showing market, direction, probability, duration, and chart context upfront — turning Signals from an information layer into a decision-making tool.

Trading Ideas at a Glance image 1
Trading Ideas at a Glance image 2

From Idea to Trade in Seconds

From signal to pre-populated order ticket in one flow — direction, entry, stop, and limit already filled in, lowering the barrier to action for less confident users.

From Idea to Trade in Seconds image 1
From Idea to Trade in Seconds image 2

Built for Engagement, Learning and Iteration

Defined the analytics and post-release review framework to track adoption, retention, and drop-off — surfacing the next priorities clearly after launch.

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