Strategies
The platform deploys capital across four quantitative strategies. Each strategy has a different risk profile, expected contribution, and variance. The system dynamically adjusts allocations based on market conditions. No strategy is risk-free.
All strategies use moderate leverage (2–5×). Leverage amplifies both gains and losses. The system reduces exposure during high-volatility events.
Past performance is not indicative of future results. Cryptocurrency trading carries significant risk of loss.
Identifies temporary mispricings between correlated assets (e.g., BTC vs ETH, or spot vs futures) and executes trades to capture the spread as it converges.
This is a low-risk, high-frequency strategy. Returns are consistent but small per trade. The strategy operates across multiple exchanges to exploit temporary inefficiencies.
Provides liquidity on major exchanges by posting both bid and ask orders. Earns the bid-ask spread as profit.
This is a low-risk, high-volume strategy. The system provides liquidity across multiple trading pairs and exchanges. Returns are consistent and driven by trading volume, not directional price movements.
Exploits the funding rate mechanism in perpetual futures. When funding rates are positive (longs pay shorts), the system opens positions that collect the funding payments. When funding rates are negative, the system adjusts accordingly.
This is a medium-risk strategy. Funding rates are public and verifiable on major exchanges. Returns depend on market conditions and funding rate direction.
Follows trend signals across major crypto assets. Uses moderate leverage to amplify directional moves. This strategy has the highest variance and is the primary source of monthly performance variation.
This is a high-risk strategy. The system uses trend-following signals to enter and exit positions. Stop losses are used to limit downside. Losses are expected and normal, this is the nature of trend-following strategies.
Risk management
The system applies the following risk management controls across all strategies:
When the system's risk models indicate elevated risk (e.g., during exchange outages, flash crashes, or regulatory announcements), the system reduces leverage and enters capital preservation mode. This may result in reduced returns or losses during those periods.
Past performance is not indicative of future results. The strategies described above are intended for educational purposes. Actual performance may differ materially from the targets described.