Investment Strategies for New Investors in the Age of Fintech

What is Fintech?

Fintech, short for financial technology, refers to innovative technologies and services that enhance and automate financial activities, such as banking, investing, and payments, often disrupting traditional financial practices.

Navigating the Future, Today

Navigating the investment landscape as a newcomer can be daunting, especially in an age where technology is continually disrupting traditional financial practices. With the rise of fintech, new doors are opening for inexperienced investors, offering innovative strategies beyond the typical advice of buy low, sell high.

new investors

Read More: Creativity in Planning: An Exploration of Algorithmic Trading Strategies

Not Robots: Robo-Advisors

Robo-advisors are a kind of financial advisor that provides portfolio management online with very minimal human intervention. They use algorithms to allocate, manage and optimize investors’ investments. This avenue has been particularly attractive to younger investors who are comfortable with technology and may not have large sums to invest right away.

While these automated systems lack the personal touch of an individual financial planner, they often come with significantly lower fees and can provide a solid, balanced baseline for your investment portfolio.

Big Data with AI

Artificial Intelligence is another fintech tool that’s reshaping the investment sphere. AI can process vast amounts of data at speeds beyond human capability, allowing for more strategic investment decisions.

New investors can use AI-driven platforms to access sophisticated market analysis and prediction, helping to inform their investment choices. Tools like these can provide real-time market data, risk management strategies, and even suggest investment opportunities tailored to your financial goals and risk tolerance.

Execute: Trading Algorithms

For the more tech-savvy new investor, understanding and utilizing trading algorithms can be a game-changer. These complex formulas are used to trigger buying or selling at certain points in the market, helping to remove the emotional aspect from investment decision-making.

Algo trading can involve anything from high-frequency trading, which relies on lightning-fast transactions, to more moderate strategies. While some trading algorithms are not accessible to the everyday investor, there are platforms and tools available that provide algorithmic trading services to those willing to learn and engage with these systems.

Crypto-investing

The world of cryptocurrency and blockchain technology may seem baffling, but for those who do the necessary research and proceed with caution, it can offer diversification and a unique investment opportunity.

With platforms, wallets, and exchanges readily available, new investors can start small, investing in cryptocurrencies like Bitcoin and Ethereum, or exploring the newer altcoin market. It’s crucial to remember that the cryptocurrency market is highly volatile and comes with its own set of risks, so it shouldn’t be the sole focus of your investment strategy.

Educate and Diversify

Regardless of which fintech tools you use, education is the key to any successful investment strategy. There are numerous resources available, from investment apps designed to guide you through your first trades to online courses offering in-depth knowledge of markets and strategies.

It’s also important to remember the golden rule of investment – diversification. Spread your investments across different asset types and economic sectors, which will help spread risk and potentially increase your returns.

In conclusion, the fintech revolution is democratizing the investment world, offering opportunities once reserved for the financial elite. New investors who are willing to learn and engage with these technologies can build strong, diversified portfolios that work for them in this modern age of finance.

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Jeff Sekinger
Jeff Sekinger | Wealth Strategies

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AI Quantitative
Researcher

Bingham Zhou

Bingham Zhou, CFA, has over 15 years of experience as a quantitative researcher. His expertise spans systematic equity strategies, CTA trend-following, and interest rate proprietary trading in both U.S. and Asian markets. He holds advanced degrees from MIT, Carnegie Mellon, and Yale.

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Quant–Investment Strategist
Greg doscher

Greg Doscher was a CFO for many years who built out many quantitative strategies and investment tools to manage and enhance risk adjusted returns in the company’s pension plan. Prior to joining Nurp, he consolidated his skills in coding and discretionary trading to develop a comprehensive and fully automated algorithmic trading system deployed across 200+ futures markets and cryptocurrencies that encompassed all of the trading strategies he had honed over the last 22 years in finance

Quant–Investment Strategist
Marcin Borratynski

Marcin was Head of Quant IT at the USD 4bn+ CERN Pension Fund, where he spent nearly a decade building quantitative asset allocation systems and implementing algorithmic investment strategies for a multi-asset institutional portfolio.Before joining Nurp Marcin was also Senior Quant Strategist at Evooq, a Swiss-based fund managing four strategies across equities, gold, and equity derivatives.Marcin holds a degree in Computer Science an MBA from the University of Geneva and the Certificate in Quantitative Finance (CQF).

Product Manager

Abhayjit Anand

Abhay has worked with Nurp since 2022. As a Product Strategist, he focuses on building, refining, and commercializing algorithmic trading strategies. He brings seven years of experience in financial trading – combining macro research, technical analysis, quantitative strategy development, and market psychology. Alongside his work at Nurp, Abhay also serves as an Investment Analyst at Orca Capital. Before entering financial markets professionally, he spent eight years at IBM, including three years in the AI & data division as a Delivery Lead managing complex implementation projects.