Built on Research.
Driven by Precision.
Evendra is a quantitative trading and research firm that builds proprietary machine learning models to capture short-term pricing inefficiencies in cryptocurrency markets.
Quantitative Discipline.
Conservative by Design.
Cryptocurrency assets lack a universal valuation framework. Without a fundamental anchor for price, market participants rely heavily on sentiment — a force prone to systematic error. Evendra's models analyse patterns in real-time trading activity to detect these errors and capture them before the broader market corrects.
Every strategy is built around capital preservation. Position sizing, stop-losses, and exposure limits are enforced automatically at every layer of the system. The goal is consistent, compounding performance — not outsized bets on single outcomes.
Because our infrastructure is fully automated, the research team is free to focus on what matters most: developing new signals, stress-testing assumptions, and deepening our understanding of how sentiment propagates through digital asset markets.
What We Stand For
Research Discipline
Every strategy begins as a testable hypothesis. Models are trained, backtested, and validated out-of-sample before a single dollar is deployed.
Capital Preservation
Consistent, modest gains — protected by hard risk limits — compound more reliably than occasional large wins offset by uncontrolled losses.
Transparency
Clients can monitor portfolio performance and access research output through a secure web-based portal at any time.
Derek Nugroho
Quantitative Researcher