NoCOINer - Case Study: Exchange Trade Ingestion & Analytics

Consolidating noisy Binance trade data into reliable, normalized datasets and actionable dashboards.

Problem

Analysts needed consistent, usable historical trade data. Raw exchange feeds are noisy, inconsistent and difficult to aggregate across accounts - slowing insight generation and pattern detection.

Solution

NoCOINer - A Data Acceleration Product. We built a lightweight ETL and normalization pipeline with a dashboard and exports. It consolidates Binance trade data, normalizes events (prices, fees, timestamps) and presents the results for filtering, comparison and export.

Outcome

Turned raw, noisy data into a reliable asset. Analysts get reliable historical datasets quickly, enabling comparative analysis and faster insight generation. Data preparation time is reduced and recurring evaluation workflows are streamlined.

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Tech highlights
  • Data ingestion from exchange APIs
  • Normalized trade model & compact storage
  • Dashboard + filtering, comparisons & exports

Includes observability hooks and performance profiling for scaling ingestion volume.