Tradeverse

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Trading Opinion With a Track Record Attached

Traderverse pairs live market data with a social network where claims are scored rather than merely posted. Traders publish predictions, the platform records how those predictions were actually resolved, and standing on the leaderboard follows from results instead of follower count.
  • Project: Traderverse · Fintech, social trading 

Project Overview

Client: Traderware Inc, trading as Traderverse.io

 

Sector: Fintech, social trading & education

 

Industry context: Retail investing across equities, crypto, ETFs, & other digital assets

 

Product: Traderverse, a social network built around verified trading performance

 

Platform: Mobile, with a companion web application

 

Build focus: Live market data, social graph, credibility scoring, prediction accuracy tracking, brokerage & wallet integrations

 

Retail traders do not lack information. They lack a way to work out whose information is worth acting on. Traderverse was built to answer that by measuring what people said would happen against what happened, and putting the result on the profile.

Key Features

The Market at a Glance

Index tickers, a market pulse chart, and a movers list give the state of trading before any social layer is applied. The gain is orientation, because context should arrive before commentary does.

Ranked by Results, Not Volume

Traders are ordered by measured accuracy, with predictions and executed trades filterable separately. The gain is trust that can be checked, since a record stands in place of a reputation.

One Search Across People & Instruments

A single field returns trader profiles and tickers together, with following counts attached. The gain is that discovery works from whichever end a user starts, an instrument or a person.

Inside the Product

Three surfaces, one graph underneath.

The explore view opens on index movement with a market pulse chart and the day’s most active names, which is the neutral ground before any opinion is layered on top.

The social view ranks traders and lets a user filter by predictions or by trades, so the feed reads as a scoreboard rather than a stream.

Prove It Rather Than Claim It

Building trust into a product as measurable data, rather than presenting it as a claim, changes the architecture from the first day.

 

Scoping happens in days. Working software follows in months. A senior engineer owns the architecture from the first conversation through to release.