Services

Expertise in systematic trading R&D

Alphubel builds institutional quality, low maintenance and fully systematic quant trading frameworks and strategies in crypto, global macro and equities, helping investment managers outperform the market without wasting unnecessary time and money in R&D.

Cross-assets and multi frequencies trading strategies – full development lifecycle.

Alphubel partners with the client to build the R&D and infrastructure in house. Advantages are multiple: customization, full transparency, the full process is ran in house, clients have ownership over the IP, a sharp reduction in fees and an improvement in performance. Additionally, Alphubel can be mandated on a project basis or on an advisory capacity (helping start-ups launch their product).

Quantitative portfolio management

Portfolio managers due diligence and selection
Management (managed accounts) of quant trading strategies
Building of cross-assets systematic trading strategies
Global macro, crypto, equities
R&D of trading signals
Backtesting
Market regimes
Factors combination
Portfolio optimization

Data

Data pipelines
Alternative data
Big data
Tick data

Analytics

Market microstructure
Decision making tools
A/B experiments

Optimal execution

Transaction cost modeling
TCA
EMS
Opportunistic algorithms

Data visualization

Dashboards and data visualization to deliver actionable insights

Machine learning

Design and calibration of machine learning models, from OLS to deep learning LSTM multi task
Explainable AI
Predictive statistical learning
Dimensionality reduction

Data science

Students/grads mentoring and interviews preparation

Clients

Past and current clients include hedge funds, fintechs, proprietary trading firms and crypto exchanges.