ERCOT RT$42.17/MWh +3.2%EPEX DE DA€87.40/MWh -1.8%EPEX ID 15m€91.22/MWh +5.1%NordPool SE3€34.80/MWh +0.9%PJM LMP$38.55/MWh -2.4%ERCOT DAM$39.84/MWh +1.7%EPEX FR DA€72.10/MWh +2.3%UK N2EX£68.90/MWh -0.5%MIBEL ES€62.30/MWh +1.1%EEX Base Y26€78.50/MWh +0.4%ERCOT RT$42.17/MWh +3.2%EPEX DE DA€87.40/MWh -1.8%EPEX ID 15m€91.22/MWh +5.1%NordPool SE3€34.80/MWh +0.9%PJM LMP$38.55/MWh -2.4%ERCOT DAM$39.84/MWh +1.7%EPEX FR DA€72.10/MWh +2.3%UK N2EX£68.90/MWh -0.5%MIBEL ES€62.30/MWh +1.1%EEX Base Y26€78.50/MWh +0.4%
SYSTEMATIC · QUANTITATIVE · ALGORITHMIC

Engineering Alpha

POWERFINANCIAL MARKETS

Algorithmic engineering, operations research, and generative machine learning across North American and European power markets.

Built on mathematical rigor, state-of-the-art LLM architectures, and relentless empirical validation.

alpha_engine.pySTRATEGY ENGINE
# Alpha Generation Pipeline
from auras.engine import StrategyEngine
from auras.ml import LLMForecaster
from auras.optim import StochasticDP
engine = StrategyEngine(
markets==[ERCOT, EPEX_DE],
alpha==LLMForecaster("qwen3-8b"),
optim==StochasticDP("gurobi")
)
>>> Engine initialized: 2 markets, 4 horizons
backtest.pyBACKTESTING
# Walk-Forward Validation
results = engine.backtest(
start=="2024-01-01",
end=="2025-12-31",
walk_forward==True,
mc_runs==10_000,
slippage=="empirical"
)
>>> Sharpe: 2.41 | MaxDD: -8.7%
>>> Calmar: 3.12 | Win Rate: 63.2%
>>> p-value: 0.0003 ✓
deploy.pyLIVE DEPLOYMENT
# Production Deployment
from auras.live import TradingSession
session = TradingSession(
strategy==engine.best_model,
risk_limit=="conservative",
latency=="<50ms",
monitoring==True
)
session.start()
>>> LIVE | 3 positions | PnL: +€12.4k
01 · CORE CAPABILITIES

What We Do

ALGOOPTIMMLALPHA
01

Algorithmic Engineering

Fully automated trading systems across multiple power market venues. Order routing, position management, and real-time risk controls.

Fully automated algo structuring and assistance in automating trading systems

Execution AlgorithmsSmart RoutingLow Latency
02

Operations Research

Complex energy scheduling, storage dispatch, and cross-market arbitrage formulated as mathematical programs.

Mathematical optimization for energy scheduling and cross-market arbitrage

Linear ProgrammingStochastic Opt.Convex Opt.
AURAS
CORE ENGINE
03

Backtesting & Alpha Search

Walk-forward backtesting with transaction costs, slippage estimation, and regime-aware validation.

Rigorous statistical validation with out-of-sample testing and signal decay analysis

Walk-ForwardMonte CarloHypothesis Testing
04

Generative Machine Learning

State-of-the-art LLMs fine-tuned for energy markets. Transformer architectures, QLoRA, RAG pipelines.

Custom LLM fine-tuning and RAG pipelines for energy market intelligence

LLM Fine-TuningRAG PipelinesTransformers
02 · MARKET COVERAGE

Markets We Analyze

Where volatility, structural complexity, and data richness create opportunities for systematic strategies.

NA

ERCOT

Electric Reliability Council of Texas

Deregulated nodal market with high renewable penetration, volatile real-time pricing across 4,000+ nodes.

4,000+ pricing nodes

ACTIVE
RTDAMCRRAS
EU

EPEX SPOT

Pan-European Power Exchange

Coupled day-ahead auctions and continuous intraday trading across multiple European bidding zones.

Active systematic coverage

ACTIVE
DA AuctionID ContinuousID 15-minX-Border
EU

Nord Pool

Nordic & Baltic Power Exchange

Deep liquidity Scandinavian and Baltic power with mature renewable integration.

Active systematic coverage

ACTIVE
ElspotElbasN2EXBalancing
EU

Balancing & Hedging

EU Balancing Energy & LT Instruments

Cross-market balancing optimization and long-term hedging through exchange-traded futures and bilateral PPAs.

Research phase analysis

RESEARCH
aFRR/mFRRFCREEX FuturesPPA
03 · RESEARCH

Research Pipeline

Every strategy begins as a research hypothesis and survives only through rigorous empirical validation.

2026.02IN PROGRESS

Transformer-Based Probabilistic Forecasting for Intraday Power Markets

Deep LearningEPEX Intraday
2026.01IN PROGRESS

Optimal Battery Dispatch via Stochastic Dynamic Programming

Operations ResearchStorage
2025.11INTERNAL

CRR Valuation and Basis Risk Decomposition in ERCOT

ERCOTNetwork Opt.
2025.09INTERNAL

Fine-Tuning LLMs for Structured Energy Market Intelligence

LLMQLoRARAG
2025.07INTERNAL

Walk-Forward Validation for Non-Stationary Energy Prices

BacktestingStatistics
04 · TECHNOLOGY

Built for Performance

Production-grade infrastructure engineered for low-latency execution and massive-scale computation.

ML & AI
PyTorch / JAX
HF Transformers
QLoRA Fine-Tuning
vLLM Inference
LangChain / RAG
Custom Architectures
OPTIMIZATION
Gurobi / CPLEX
CVXPY / Pyomo
SciPy Optimize
Statsmodels / Arch
NetworkX
Custom Backtesters
INFRASTRUCTURE
Kafka / Flink
TimescaleDB
ClickHouse
Docker / K8s
A100/H100 GPUs
Grafana / Prometheus
LANGUAGES
Python
Rust
C++
Julia
SQL / dbt
Git / CI/CD
<50ms
Signal → Order
End-to-end latency
10TB+
Market Data
Historical tick data
24/7
Monitoring
Automated risk controls
Multi-GPU
Compute
A100 / H100 clusters
05 · OUR PHILOSOPHY

Innovation Through Mathematical Rigor

Markets reward conviction born from evidence — every model survives a gauntlet of statistical testing.

The energy transition is creating unprecedented market complexity — variable renewable generation, evolving grid topologies, and cross-border coupling mechanisms demand analytical tools as sophisticated as the markets themselves. We combine classical operations research with modern deep learning. When a model makes a prediction, we understand why.

I

Empiricism Over Narrative

We trust data, not stories. Every hypothesis is tested against out-of-sample data with proper statistical controls for multiple comparisons.

II

Intellectual Honesty

We actively seek to disprove our own models. Confirmation bias is the enemy of alpha. If it doesn't survive the gauntlet, it doesn't trade.

III

Engineering Excellence

Research without robust implementation is academic. We build production systems that operate at the speed and reliability our strategies demand.

IV

Continuous Adaptation

Markets evolve. Our models must too. Adaptive systems with automated retraining and regime detection keep our edge current.

06 · CONTACT

Serious Inquiries Only

We partner with energy trading firms, utilities, and institutional investors who share our commitment to quantitative excellence.

If you're looking for systematic edge in power markets, we should talk.

LOCATION
Belgrade, Serbia
INITIATE CONTACT