Browse: R

Financial statements tell you how a company is performing. This module covers the three core statements — income statement, balance sheet, and cash flow statement — and key metrics like P/E ratio, EPS, and revenue growth.

What the yield curve says about growth and recessions: normal, flat, inverted, and how term premia shift.

Production-grade data pipelines for algorithmic trading systems: handling market data at microsecond latency, feature engineering stream processing, backtesting infrastructure, and DataOps orchestration.

Production patterns for Apache Kafka: topic design strategies, consumer group rebalancing, exactly-once semantics, Kafka Connect for source/sink integration, and ksqlDB for stream processing. Real case studies from financial services.

A methodology for attacking your own AML controls: scenario injection, alert-thesis testing, and tuning loops.

European digital regulation is reshaping how data platforms must manage risk, security, and interoperability. This module covers the Digital Operational Resilience Act (DORA) for ICT risk management, the NIS2 Directive for cybersecurity, the EU AI Act's high-risk classification and conformity assessment, and the EU Data Act's data interoperability requirements. Practical implementation guidance covers ICT risk registers, penetration testing cadences, AI auditing frameworks, and 2025-2026 compliance deadlines including DORA enforcement from January 2025 and AI Act tiered rollout through 2026.

Applying DataOps and MLOps principles to computational biology workflows: version-controlled training data, reproducible feature engineering, automated model validation, and pipeline CI/CD for CRISPR target prediction.

How AcaciaFund transforms raw signals into quality-scored research — SQI, Bloom taxonomy, pipeline stages.

In a recent preprint, Simon proposed a polynomial-time quantum algorithm for the Dihedral Coset Problem and rested the analysis on four lemmas. Three of them carry only proof sketches, and this paper

Equalising risk contributions instead of capital: why bonds get leveraged, and the hidden risks of the approach.

We measure volatility roughness across asset classes using a common data infrastructure and pipeline. Our data covers 3,926 United States equities, 34 CME futures roots, rates, FX, and commodities, an

Release notes for Rune 1.1, a developer tool that now embeds Python support, ships an Emacs-compatible editor mode, adds a symbol index for fast code navigation, and moves to a free pricing model. Useful signal for tooling teams evaluating in-process editing and analysis environments.