Algorithmic Investing
GroWise is an automated algorithmic fund that targets 15% annual net returns. By diversifying across assets, markets, strategies, and timeframes, it reduces systemic risk and transforms investing into a disciplined process with every trade chosen algorithmically based on extensive data and identified patterns.
21% over 18 years
(after all fees)
Past performance is not indicative of future results. Returns are not guaranteed. For full details, refer to the Product Disclosure Statement (PDS).
Amplified growth: The fund targets a 15% yearly returns (net of fees, not guaranteed,) through disciplined, data-driven uncorrelated strategies that turn market uncertainty into investing opportunities.
Reduces Systemic Risk: The fund adopts an uncorrelated strategy through diversification in assets, markets, timeframes and behaviours.
Market Tested: Mirrors the winning strategy of SciTech Investments, managing over USD1.45 billion in assets.
Access Excellence: High-risk, high-reward hedge fund strategies that were once exclusive to institutions are now accessible to discerning Australian investors.
Expert Leadership: the fund is managed by globally recognised portfolio manager Ivan Scherman, 2023 World Cup Futures Trading Champion.
Exceptional Performance: Over 18 years, the trading strategy has delivered annual average returns of over 21% (after all fees).
Metric | Performance (2007 - 2025) |
---|---|
CAGR (Net of Fees) | 21.68% P.a. |
Positive Years | 16 (88.88%) |
Negative Years | 2 (11.11%) |
Maximum Drawdown | -36.37% |
Last Maximum Drawdown Recovery | 1 Year |
Highest Net Return in a Year | 83.79% |
Lowest Net Return in a Year | -20.77% |
Note: Results are for SciTech EFI-Algotrade 2 Fund, not Ausbiz Capital Growise Fund (no performance history). Both use the same strategy by SciTech Investments but fees/costs differ, e.g., performance fees: 50% (SciTech) vs. 55% incl. GST (Ausbiz)
The Growise Fund adopts the same multi-asset, multi-strategy approach as SciTech’s EFI-Algotrade2, which has delivered an impressive 21.68% compound annual growth rate (CAGR) net of fees from 2007 to 2025 across its $1.45 billion USD portfolio (as reported by SciTech Investments). Although past performance is not indicative of future performance.
With a focus on diversification and low correlation to traditional markets, this strategy leverages automated trading systems to exploit market inefficiencies, momentum, and volatility opportunities.
Eager to explore a sophisticated investment opportunity? Click ‘Invest Now’ to start your journey with the Growise Fund, backed by a strategy managing over $1.45 billion USD (as reported by SciTech Investments).
Begin by downloading the Product Disclosure Statement (PDS) and Target Market Determination (TMD) for full details on fees, risks, and terms of this high-risk, high-reward fund.
Explore the historical Net Asset Value (NAV) growth of the SciTech Investments EFI-Algotrade2 strategy, which the Growise Fund mirrors, from 2007 to 2025. This chart illustrates the strategy’s performance over time, showcasing its resilience and potential.
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Past performance is not indicative of future results. Returns are not guaranteed. For full details, refer to the Product Disclosure Statement (PDS).
A Global Trading Icon
Leading the Growise Fund is Ivan Scherman, CEO and Chief Investment Officer of SciTech Investments. With over 20 years of experience, and a Mathematics PhD, Ivan is a pioneer in quantitative trading.
Algorithmic, Data Driven Investing
Transforming investing into a disciplined, structured, and sustained process, accessible to all Australian investors.
The Growise Fund is designed for investors who:
This fund may not be suitable for risk-averse investors, those with limited income or assets, or those borrowing to invest. Review the Target Market Determination (TMD) for full details on the target market.
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We supply all the relevant information, including market insights and reports, to help you make informed investment decisions and take the next steps with confidence.
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