JA.JINSEONG AHN SOFTWARE ARCHITECT
Résumé
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04 / RESEARCH / MARKET SYSTEMS / 2026

Trading Research Systems.

Market data, reproducible backtesting and risk-aware execution research across independent projects.

TypeScriptPythonData pipelinesBacktesting

Research and demo environments

01 / THE PROBLEM

The challenge.

Build reliable experiments around market data while keeping research outcomes distinct from live execution and realized results.

02 / THE SYSTEM

How it works.

The projects include data collection, strategy engines, backtests, demo execution and parity monitoring. A June 2026 revision introduced immutable backtest-window snapshots for reproducibility.

03 / RESULT & CONTEXT

What the record shows.

The reviewed scalping repository describes its current runtime as demo/testnet only and labels its backtests research-only. No profitability or live-equivalence claim is made here.

04 / THE TAKEAWAY

Engineering, in perspective.

A measured backtest is a starting point for validation; configuration, data availability, costs and live parity must be checked separately.

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