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Case study / tr3n.do

Market context across
Crypto, Stocks & Forex.

Trends, volume, events and market structure — without the noise.

Explore tr3n.do (opens in a new tab)
tr3n.do Bitcoin chart with market structure, volume events, and technical analysis histories
A Bitcoin view with price action, market structure, and volume-event histories.
Project
In-house product
Markets
Crypto · Stocks · Forex
Core stack
C# / .NET · Blazor · QuestDB

The idea

A price move needs context.

A move in price is one observation. The trend around it, the level it meets, and the volume recorded alongside it add the context. tr3n.do brings those details into the same view.

The product

Three markets. One way to explore.

Pick an instrument and timeframe. Read its price chart alongside Volume Pulse, the technical log, and current market state. The same approach carries across Crypto, Stocks and Forex.

  • Trends

    Follow uptrends, downtrends, and corrections across timeframes.

  • Volume

    Put unusual activity alongside the price move and its history.

  • Events

    Revisit tests, bounces, and breakouts through the technical log.

  • Structure

    Read support, resistance, and buyer/seller zones in the chart.

Inside the work

The work behind
the market view.

The focused interface rests on connected market feeds, calculations, and a history that can be revisited.

Back to the event
The technical log records tests, bounces, breakouts, trend changes, and corrections. Selecting a recorded event opens the chart with the market structure captured at that moment.
Volume in perspective
Volume Pulse brings normalized volume and unusual-volume events into the view. Its history stays connected to the chart, so an event can be inspected where it happened.
Connected underneath
Binance, Alpaca and OANDA integrations feed the collection pipeline. Separate workers calculate structure and volume; historical backfills and versioned results support the public Blazor views.

The result

Context that carries through.

Price, trend, volume and event history share the same screen. The calculated context also feeds chart previews and publications. Built in-house by i-feature, tr3n.do connects the work behind the data with the way people explore it.

See the product (opens in a new tab)

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