Trading & Fintech Systems / Case study

Trading Research & Backtesting Platform

A research-tool concept for organizing market data, strategy inputs, and test runs.

Concept build · illustrative, not client work

01 / Project overview

Designed around a specific workflow.

An illustrative environment for structuring research inputs and comparing backtest runs with transparent assumptions.

02

Challenge

Research results are difficult to interpret when data sources, assumptions, and run configurations are not recorded together.

03

Requirements

  • Traceable dataset and configuration references
  • Repeatable runs
  • Clear comparison of outputs
04

Solution

A research workspace groups each run with its inputs and provides a compact comparison view for analysis.

05

Architecture & workflow

  • Market data ingestion
  • Normalized research dataset
  • Strategy runner
  • Run metadata and result views
06

Main features

  • Run configuration records
  • Dataset references
  • Comparison dashboard
  • Exportable summaries
07

Development challenges

  • Avoiding misleading comparisons
  • Managing data quality and timestamps
  • Making assumptions visible
08

Result / outcome

This concept makes no claim about strategy performance, profitability, or investment results.

09

Technology stack

PythonPostgreSQLMarket data APIs
10

Gallery & workflow

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