The Vītabhaya (Sanskrit for fearless) strategy is a high-frequency strategy that combs through the market microstructure for exchange-traded futures instruments across asset classes. It offers structural resilience enabling capital preservation by limiting drawdown and faster market recovery in both range-bound and trending markets by using in-built risk management techniques such as volatility-adjusted position sizing and loss limits per position.

Managed Futures have long been used by Sovereign Wealth Funds (SWFs), pension plans, endowments and High Net Worth Individuals (HNWI) to diversify risk whilst maintaining optimal return as per their parameters. Managed Futures have traditionally exhibited lower correlations to many asset classes, such as equities, fixed income and real estate and as a subset help to reduce portfolio volatility.

There is an added advantage to exposure to all major asset classes via futures; including but not limited to equities, indices, fixed income, currencies,
energy, agricultural commodities, interest rates.

The Thoth (Egyptian God of wisdom) strategy is a factor-based investment strategy that focuses on identifying high-quality companies using our proprietary Boolean Intelligence Metric (BIM) within the US equities universe.

Quality factor investing is an investment strategy that focuses on identifying high-quality companies.The characteristic that distinguishes quality from other factors is its mutual exclusiveness to the prevailing stock price.

We use a streamlined approach to capturing factor signals, one that has been used by academics and practitioners throughout the industry with a focus on Quality factors.

The Talos (the first AI machine in recorded history) strategy aims to bring value investing into AI equities. We believe that despite all the growth and potential in profits of AI businesses, listed equities on the AI value chain and the entire AI supply chain do not enjoy the PE ratio and price surges like other major tech equities, which often suffer from excessive PEs.

There is limited need to invest directly in AI startups or AI unicorns to get substantial profits, as long as one invests in the AI value chain and the entire AI supply chain through the stock exchange.

Frequent fundraising dilutes the shareholdings of gainful startups, destroy their growth story, lower their stock price, and overall valuation. We believe listed AI companies enjoy more fairness and integrated information disclosure.

By investing in listed equities in the AI ecosystem, there exist likely benefits from positive network effects with the most innovative AI companies.