Danubian WINGMAN
DataroomTrack record, brief & tearsheetA systematic high-frequency cryptocurrency derivatives strategy powered by adaptive machine learning, designed to capture intramarket price inefficiencies and volatility patterns.
Strategy performance
Feb 2024 – Oct 2026 · 960 days live
WINGMAN has traded continuously since Feb 2024, without a view on where the market goes. Its return comes from the microstructure of the derivatives market: how often, and how well, it captures the inefficiencies that appear between venues.
The full record behind these figures — the published tearsheet, the brief and the daily returns — is in the data room.
Returns are summed daily rather than compounded, as the dataroom's basis note sets out, and are shown here as a percentage of the strategy's allocated capital.
Figures are taken from the tearsheet published to investors, to 14 Oct 2026. For informational purposes only; past performance is not indicative of future results.
WINGMAN is a systematic, high-frequency strategy that operates exclusively in cryptocurrency derivatives markets. Rather than taking a view on market direction, it is engineered to extract return from the microstructure of the market itself — the short-lived price inefficiencies and volatility patterns that appear and disappear within seconds across venues.
At its core is an adaptive machine-learning engine that continuously ingests order-book, trade, and volatility data, and recalibrates its models as market conditions change. This allows the strategy to remain effective across regimes — trending or ranging, calm or volatile — by learning from the evolving behaviour of the market instead of relying on static rules.
Execution is fully automated and runs 24/7 on low-latency, redundant infrastructure. Positions are typically short-dated and offsetting, keeping the strategy largely market-neutral: its returns are designed to be uncorrelated with the broad direction of digital asset prices, and instead driven by the frequency and quality of the opportunities it captures.
Risk management is embedded at every layer, from position sizing and exposure limits to real-time monitoring and automated circuit breakers. The result is a high-frequency return stream with a low risk profile — a complement to directional and macro-driven allocations within a diversified digital asset portfolio.