
Explore how traditional banks require minimum investments—from $100k to $250k, or even $1 million for top firms—and how annual fees of 1–3% of assets affect returns.
Explain how stock market's 10 percent annual return lets advisers claim a share of capital gains. Show how high fees exclude low- and middle-income investors from wealth management, fueling inequality.
Analyze how financial advisers balance personal and corporate agendas, their 1–3% annual fees under management, and stock and bond risks versus diversified index funds.
Explore the do-it-yourself investing approach using broker apps, saving management fees paid to financial advisers, but demanding time for financial education and research to avoid poor long-term performance.
Emotional bias from fear and greed drives individual investors toward panic selling and constant checking of investments, illustrated by the GME/AMC frenzy. Long-term outperformance by individuals remains unlikely.
Explore how robo advisors, online software that manages and invests funds, have grown in popularity, offering competitive advantages over human advisers with low fees and minimal deposits.
Robo-advisors remove fear and greed from investing by data from global markets. This approach offers stability beyond human advisers and expands access to quality financial guidance for underserved communities.
Robo advisors cut middlemen in wealth management, empowering low and middle income investors to access premium services, with notable examples from other industries like Amazon and Airbnb illustrating transformative disruption.
Explore how robo advisors evolve from algorithms to AI and deep learning, applying modern portfolio theory for optimized returns. Learn how risk tolerance questionnaires assess profiles to guide retirement plans.
Use etfs as building blocks for robo-advisor portfolios, achieving broad diversification through baskets of stocks and bonds that track market indices and provide sector and commodity exposure.
Explore how robo advisors enable a low-cost, passive investing approach using ETFs, targeting the long-term market return around 10%, with minimal starting capital.
Explore how robo advisers drive strong growth through automated portfolio rebalancing and tax-loss harvesting, offsetting losses in ETFs to align with your risk profile and minimize taxes.
This case study shows tax-loss harvesting by a robo advisor reducing capital gains tax from 3200 to 1600 by offsetting 16000 gain with 8000 loss, under a 30-day repurchase rule.
Explore how robo advisers offer affordable advice with optional human support. Learn how smart beta ETFs use AI and big data analytics to pursue factor-based outperformance.
Explore direct indexing and fractional shares, showing how robo advisors track a specific index by buying every stock and enabling fractional investments for low-budget investors.
Explore tax-smart strategies used by advisers, including sheltering high-yield investments and placing low-yield investments in taxable accounts. Understand robo-advisor fees and drifting limits that trigger rebalancing.
Explore how robo advisors charge management, investment, and account fees, and how rebalancing works. Learn cash management strategies and asset classes such as stocks, bonds, commodities, real estate, and cash.
Explore investment returns and robo adviser benchmarking by evaluating annual performance of conservative, moderate, aggressive, and bonus portfolios, while reviewing the robo adviser interface via screenshots due to privacy concerns.
Explore a structured investment plan with ten thousand dollars in exchange-traded funds containing stocks and bonds, across conservative, moderate, and aggressive risk profiles over two years, including fractional shares.
Explore three robo-advisor portfolios, conservative, moderate, and aggressive, showing stock and bond allocations of 60%/40%, 70%/30%, and 90%/10% for a $10,000 investment.
Discover how robo advisors build ETF portfolios aligned with your risk profile. Learn the philosophy behind buying and selling assets and that ETFs are broad pools of stocks and bonds.
Explore how tickers, prices, and percentages drive a visual portfolio allocation with asset names, ticker symbols, fractional shares, and ETF holdings in pie charts.
Explore the VTI ETF's price development and market indicators on Yahoo Finance, and learn how adjusting time periods reveals performance trends for this Vanguard fund.
Explore the municipal bonds ETF MUB on Yahoo Finance to examine the price development and market indicators, using tickers and charts to guide investment research.
Calculate the number of shares by allocating a $10,000 investment across assets using their percentages, then divide each allocation by the asset price to obtain shares.
Explore ETF.com to view an x-ray of the VDI ETF, showing its summary, key stats, risk rating, and price charts, with links to the issuer and related competitors.
Infographics show the top 10 countries, sectors with percentages, and top 10 holdings, giving a concise X-ray view of the ETF's structure.
Learn to evaluate assets by comparing summaries, stats, and similar ETFs, review issuer pages, and use three infographics to grasp price trends, sectors, and holdings in robo-advisor investing.
Type portfolio-performance in your browser to download the free investment analysis software portfolio performance for three robo advisor portfolios. Switch language to English and install the OS package to continue.
Learn how to download and install the robo advisors tools for AI automated investing, and understand setup steps within the complete guide.
During the last decade, the sector of automated investing using Robo advisors has been growing at an increasing rate, and is projected to reach $7 trillion dollars in assets under management by 2025.
The main force behind this growth is the expanding number of investors who decide to invest their money using these online platforms.
The underlying technology of AI, deep learning and sophisticated algorithms, enable Robo advisors to outperform the investing strategies of individual retail investors, as well as the excessive fees of human financial advisors.
To do so, Robo advisors are constantly scanning the stock market trying to spot new opportunities. At the same time, they buy and sell stocks, based on their price movements in order to increase the returns for the investor. As an extra boost, they minimize taxes payable by following tax-smart processes.
During the course, we will examine the weak spots of individual investors and human financial advisors and how the technology of Robo advisors exploits them to gain competitive advantages over them.
As we continue, we will go through the fundamental operations performed by Robo advisors, such as automatic portfolio rebalancing and tax-loss harvesting. Getting familiar with these terms will later make us able to understand in depth the services offered by each Robo advisor firm.
Next, we will see a highly detailed benchmarking of the 10 hottest Robo advisors available in the market. This comparative assessment will give us all the necessary insights to decide which Robo advisor satisfies our investing needs and enables us to achieve our financial goals in the best way possible. Such goals might be:
Sending your kid to college
Buying a new house
Retiring early
Watching your portfolio grow at an exponential rate year over year
Or... just paying off an old debt
In the final section of the course, we will go through real case studies tracking and evaluating the performance of 3+1 real-world portfolios, built by a prominent Robo advisor, that cover every type of investor.
To do so, we will learn how to use the superb investment analysis tool: "Portfolio Performance" which is free to download and use.
"Portfolio Performance" allows us to track the price development of every stock in our portfolio, as well as the overall performance of our portfolio as a whole. In addition, the software provides us with numerous charts and indicators which in turn help us visualize market data and monitor our investments effectively, for free.
You got nothing to worry about, as the course is backed by a 30-day money back guarantee, no questions asked. Feel free to have a look at the open modules!
Wait no more, hit the enroll button and start your journey in AI automated investing, NOW!
Thanks,
Fanis
(not a financial advisor)