Investment Strategies
Data-driven quantitative investment approach through diversified strategy portfolios and strict risk control, achieving stable excess returns for investors in digital asset markets
Core Investment Strategies
We employ a multi-strategy investment approach, achieving investment objectives through systematic analysis and algorithmic execution
Quantitative Arbitrage
Utilizing machine learning algorithms to identify price differences across exchanges and time periods, capturing arbitrage opportunities through high-frequency trading. Our system processes over 100,000 trading signals per second, with an average holding period of 15 minutes and annual returns of 18-25%.
Trend Following
Based on technical analysis and market sentiment indicators, identifying medium to long-term trends for momentum investing. Combined with on-chain data analysis and macroeconomic indicators, average holding period is 2-8 weeks, achieving 30-50% excess returns in bull markets.
Mean Reversion
Identifying assets whose prices deviate from their long-term mean, buying when oversold and selling when overbought. Using statistical models to calculate fair value ranges, combined with volatility indicators to optimize entry and exit timing, suitable for sideways market environments with annual returns of 12-20%.
Event Driven
Making investment decisions based on major events in blockchain projects (such as upgrades, mergers, regulatory policies). Using natural language processing technology to analyze news and social media sentiment, positioning early in potentially benefiting assets with single returns of 10-30%.
Historical Performance
Stable investment returns achieved through rigorous quantitative strategies and risk control