Case study · Research & development

Market analytics & decision support

A family of internal decision-support tools for Borsa Istanbul data: from recorded snapshots and news to tested strategies, risk metrics and out-of-sample results, in dashboards built for daily use.

At a glance

Status: Research & development, internal tools
Data: Equity market snapshots, 15-minute intraday bars and classified news
Our role: Data pipelines, analytics, testing and dashboards
Stack: Python, SQLite, Streamlit

Real screens

BIST decision-support panel — Decision-support panel: 30-second summary, scenario segments (A–G) and entry-time analysis on recorded data.

Time-pattern scanner strategy results — Time-pattern scanner: strategy results with out-of-sample expectancy and stability scores.

News analytics dashboard — News analytics: classified news and an event-impact table by news class.

What we built

A data pipeline that turns recorded market snapshots into a SQLite store, with labels and optimisation results.
Scenario and segment analysis, risk and drawdown views and an optimisation lab in one dashboard.
An intraday time-pattern scanner with out-of-sample testing on 15-minute bars.
News classification and an event study that measures price impact by news class.

Evidence

market snapshots in the decision-support store: 315,949
classified news items: 15,140
automated tests in two of the tools: 70 + 29

Measured on 26 September 2026 from the project data and test runs.

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