Institutional-grade AI strategies for your private capital
Access high-performance predictive models once reserved for the elite. No technical expertise required — the system handles data, decisions, and execution.
Access high-performance predictive models once reserved for the elite. No technical expertise required — the system handles data, decisions, and execution.
Markets now generate more signal than any individual can process. Price feeds, macro indicators, and sentiment shifts arrive continuously, while most private investors are left reacting to yesterday's news.
Yieldspan Assets replaces manual interpretation with a decision engine that reads this volume in real time and converts it into specific, executable positions — without requiring the user to understand the underlying mathematics.
Market feeds are processed around the clock, not reviewed on a weekly or monthly basis.
Patterns are identified by trained predictive models rather than discretionary judgement.
Exposure is adjusted as conditions change, without waiting for manual intervention.
The system continuously synthesises price action, volume, and macro-economic indicators into forward-looking probability estimates. These are produced by models trained on historical performance across multiple market cycles, not by a single analyst's opinion.
Once a model's signal passes internal thresholds, the corresponding position is executed and mirrored directly into the user's portfolio through copy-trading. There is no manual order placement on the user's side — allocation follows the model's live output.
Every mirrored position carries a predefined exposure ceiling and drawdown limit. If conditions deteriorate beyond these thresholds, the system reduces or exits exposure automatically, independent of market sentiment or user intervention.
Yieldspan Assets was designed on the premise that sophisticated analysis should not require a background in data science or trading. The interface presents a small number of clear decisions: which strategy to follow, and how much capital to allocate to it.
Behind that simplicity sits a decision engine that performs the analysis continuously, so the user's time commitment stays limited to periodic review rather than active management.
Strategies weighted towards compounding growth over multi-year horizons, with exposure calibrated for investors prioritising capital appreciation over short-term liquidity.
Lower-volatility models focused on limiting drawdown, suited to investors who value stability and are prepared to accept more modest return expectations in exchange.
A complementary allocation for investors already holding traditional assets, designed to introduce a model-driven component without concentrating risk in a single approach.