Our project
The only way to feel truly comfortable in an area as deeply personal as investing is to retain complete control and manage the process yourself. This is especially true when you are confident that you are doing so with minimal subjective judgment, in the most efficient and cost-effective manner...
IskraIndex is an online personal investing platform that utilizes globally diversified ETF model portfolios optimized for various risk levels. At the core of the project is the construction of an efficient frontier, representing the optimal trade-off between risk and return. The ETF universe for optimization includes the 10 largest funds across 10 asset classes - ranging from short-term bonds to commodities and Bitcoin - geographically split, where possible, between emerging and developed markets.
IskraIndex eliminates the risk of poorly selecting individual investment instruments (stocks or bonds) by shifting to index-level approach. Furthermore, IskraIndex expands investment opportunities by providing exposure to asset classes that are difficult to invest in directly, such as real estate, commodity markets, and cryptocurrency. Essentially, IskraIndex offers a dynamic model of triple portfolio diversification - within asset classes, across asset classes, and geographically - backed by a built-in risk management system.
Working with asset class indices allows us to operate with return distributions that are closer to a Gaussian (normal) distribution - unlike the return distributions of individual instruments. This, in turn, enables reliance on the continuity of historical and future probabilistic dynamics. This approach significantly simplifies the optimization process, avoiding numerous assumptions and speculations while remaining firmly within the framework of classical portfolio theory.
The IskraIndex methodology is rooted in Harry Markowitz's Modern Portfolio Theory (MPT), which earned the Nobel Prize in Economics in 1990. IskraIndex successfully addresses MPT's primary practical limitation: its reliance on historical asset class returns during the optimization process. Instead of the backward-looking, regression-based models predominantly used in the industry, the IskraIndex optimization model relies on a forward-looking probabilistic approach.
Enhanced by a robust risk management system, the IskraIndex model identifies optimal combinations of index ETFs within the Risk-Return spectrum. Regular portfolio optimization accounts for shifting expected returns driven by index dynamics, macroeconomic trends, and evolving asset class correlations, ensuring that investors consistently maintain an optimal market position.
While Private Banking clients are typically offered a wide array of solutions - including investment advisory, tax consulting, and insurance packages - access to these benefits often comes with strict constraints, such as maintaining minimum deposit balances or investing in the bank's proprietary products. IskraIndex eliminates these limitations. Investors can independently select external providers without any restrictions, securing the same services at a fraction of the cost of a traditional banking package.
The IskraIndex model portfolios allow small family offices, private banking divisions, and other wealth management structures to seamlessly set up their investment processes. By offering a high-quality solution at minimal cost, the IskraIndex approach effectively mitigates investor distrust in investment products..
The IskraIndex team consists of CFA charterholders with over 20 years of experience in global asset management, as well as the design, development, and promotion of investment products.
Andrey Stoyanov, CEO and Project Co-Author
Andrey spent over 20 years at major Russian investment banks, advancing from an equity analyst to a portfolio manager of mutual funds, pension assets, and individual discretionary accounts. He also co-developed robo-advisory services for leading Russian brokerage firms.
A CFA charterholder since 2015, he holds a Master’s degree in Physics and is a graduate of the Carnegie Mellon Center for Financial Analysis and Security Trading.
Dmitry Morozov, Project Co-Author
Dmitry has an extensive background in investment banking and private equity, having worked with PPF Group and Home Credit Bank. His expertise spans banking risk management and the development of retail financial products, with a strong track record in evaluating and strategizing for fintech companies within M&A transactions.
A CFA charterholder since 2005, he is a graduate of the Prague University of Economics and Business.
Contact us
WhatsUp: +77784042574
Email: info@iskraindex.com
Telegram: @iskraind
IskraIndex, LLC
050022, Kazakhstan, Almaty, Almalinsky District, 118 Shevchenko Street, Office 314
info@iskraindex.com
© 2025
