The AlphaPulse Tactical Model is a quantitative Strategy designed with Momentum and trend following at core, historical performance trends over 22 years using metrics such as Compounded Annual Growth rate, Sharpe ratios, and Alpha. By utilizing price movements across a diverse selection of ETFs spanning various market classes and sectors, the model evaluates hypothetical outcomes under different market conditions. Simulations demonstrate how the model has historically managed volatility, drawdowns, and asset selection, emphasizing diversification and balance. Over this historical back-testing period, the model achieved a compounded annual growth rate (CAGR) of 22.91% compared to the market benchmark average of 10.22%, offering a performance edge within the analyzed period.

AlphaMax Diversified is a dynamic investment strategy designed with historical performance in mind to deliver a superior compound annual growth rate (CAGR), Sharpe ratio, and Alpha, while focusing on managing volatility and drawdowns. Over a back-tested period of more than 22 years, it evaluated price movements across a diverse set of Exchange Traded Funds (ETFs) representing multiple market sectors and asset classes, leveraging cross-sectional momentum to highlight the role of diversification in historical simulations. In these back-tests, AlphaMax demonstrated an annual CAGR of 19.90%, compared to the benchmark’s approximate 9.16%. With its proprietary emergency protection system, the strategy achieved a maximum drawdown of -18.51%, compared to the benchmark’s -39.32%, suggesting potential resilience during challenging market conditions.

SmartVol is a strategy designed for volatility management, aiming to minimize peak drawdowns and achieve balanced diversification across Exchange Traded Funds (ETFs) spanning various asset classes, subclasses, and sectors. Leveraging cross-sectional momentum and systematic selection, the model analyzes price trends based on historical risk and performance data, incorporating principles of balance and diversification. Over 22 years of historical back-testing, the strategy demonstrated metrics such as a 14.17% annual compounded growth rate (CAGR) and consistent Sharpe and Alpha ratios, with observed steady results across diverse market conditions, including periods of decline. The historical back-testing indicates potential benefits of a dynamic rebalancing approach and a focus on high-performing assets in the analyzed time frame.

StableUp is a quantitative balanced strategy focused on long-term sustainable performance through emphasizing volatility management and minimizing drawdowns. Over 22 years of back-testing, the strategy analyzed price movements across a curated selection of Exchange Traded Funds (ETFs) from various asset classes and sectors, chosen based on historical risk profiles. Its approach integrates trend following and diversification and prioritize historically top-performing assets within a balanced framework. The model's during back-testing period, including challenging market conditions, yielded an annual growth rate of 11.43%, compared to 8.05% for the selected market benchmark, offering a possible potential and profitability during theoretical simulations.

VolatilityShield is a strategy designed for long-term growth, offering potential stable returns and low volatility even during bear markets, as the model maintains a low correlation to equity markets with a focus on achieving consistent and risk-adjusted returns. Over a 22-year back-tested period, its performance metrics—including Compound Annual Growth Rate (CAGR), Alpha, Sharpe ratio, volatility, and drawdowns—highlighted a strong emphasis on volatility control and loss minimization. The model evaluated price movements across a curated selection of Exchange Traded Funds (ETFs), including bonds and commodities, chosen for their historical variance and diversification potential. Historical back-testing indicates that the model achieved an average annual CAGR of 6.81%, compared to 5.64% for its selected benchmark, with a lower maximum drawdown of -6.66% versus -14.7% for the benchmark, suggesting historical stability during diverse market conditions.

The SereneYield Strategy is a long-term strategy that evaluates historical data to prioritize low volatility and consistent acceptable returns. Using over 22 years of back-testing, it could demonstrates a methodical approach to risk control, minimizing drawdowns, and maintaining portfolio stability. By analyzing price movements of a curated selection of Exchange Traded Funds (ETFs), predominantly bond-focused and low-volatility equity ETFs, the Strategy identifies assets based on historical variance profiles to construct a well-diversified, balanced portfolio. Historical performance metrics, including a Compound Annual Growth Rate (CAGR) of 5.68%, annual volatility of 4.53%, and a maximum drawdown of -6.40%, illustrate the model's focus on stability compared to a benchmark CAGR of 3.84%, volatility of 7.50%, and maximum drawdown of -13.74%. These metrics could reflect low loss and consistent yields over diverse market conditions.