progrunners — energy & technology. We combine intraday and balancing market knowledge with engineering: live market feeds, dashboards, quantitative analysis. Where most traders wait on IT and most developers don't understand the market, we do both.
We work on the Czech balancing market and understand how its pieces fit together — from the day-ahead market through intraday to regulation energy and system imbalance. This knowledge is rarer than coding: companies hire developers easily, but a team that understands the market and can build their own tools is hard to find.
We run these electricity market systems ourselves on the Czech market. The same building blocks — live data feeds, order book reconstruction, dashboards, backtesting — are what we build for clients on any European market.
Aggregates live data from ČEPS, OTE and ENTSO-E in one place: system imbalance, regulation energy prices, renewable generation and forecast, day-ahead and intraday prices. A Python backend translates REST into SOAP/AMQP calls; the frontend renders with auto-refresh.
Connects to OTE's official AMQP interface via certificate, receiving the live intraday (XBID) order book. The client reconstructs the full book from delta messages like a professional trading terminal, computing best bid/ask, VWAP and the intraday-vs-day-ahead spread for every hour and quarter-hour.
Hypothesis testing on historical data: correlation of German renewable forecast error with Czech regulation-energy price (forecast-error analysis, Pearson, lag analysis), and technical-strategy backtests with emphasis on realistic assumptions — fees, slippage, walk-forward.
Systematic testing of trading strategies on crypto futures (perpetuals): technical indicators, trailing/fixed exits, money management. Emphasis on realistic modeling — taker/maker fees, slippage, walk-forward — instead of over-optimistic curves.
Intraday, day-ahead, regulation energy, system imbalance, BRP mechanics, market coupling, OTE/ČEPS processes.
OTE AMQP, ENTSO-E Transparency, ČEPS SOAP, regelleistung.net, energy-charts. Order book, forecast, generation.
Python (backend, parsing, AMQP/SOAP/REST), JavaScript, data visualization, cloud deployment, Git.
Correlation and lag analysis, backtesting with realistic assumptions, hypothesis testing, critical view of my own results.
Our dashboards and strategies are built on real market and meteorological data from verified sources — no simulated data, no placeholders. Below is the full range each interface provides.
A dashboard, a market data integration, backtesting — or just a question about one of the APIs. We reply within 24 hours.
Or directly: info@progrunners.com · +420 776 718 774
Live data, a guide to each market, and what we build for companies. The guides cover where market data actually comes from in each country — which interfaces, which formats, and where it hurts.