Why pay for a robo-advisor when you can build one yourself? I’m exploring the pros and cons of DIY robo-advisors, including the tools you need, the strategies you can implement, and the risks you need to be aware of. This is the ultimate guide for the hands-on investor.

This article was written by Sahin Boydas, a serial entrepreneur and angel investor in over 200 companies, including AI leaders like Anthropic, OpenAI, Scale AI, and Hugging Face.

Why I Lost a Few Thousand Dollars Building My First Trading Bot

I still remember the first time I tried to build my own automated trading bot. It was back in my early days in Silicon Valley, long before I had any successful exits to my name. I was convinced I could outsmart the market with a few clever lines of Python. I spent weeks coding, backtesting, and tweaking my algorithm. And when I finally deployed it with real money on the line, it promptly lost me a few thousand dollars in a matter of hours. A painful, but valuable lesson.

That experience taught me that building your own financial tools is a double-edged sword. On one hand, it offers the ultimate control and customization. On the other, it can be a quick way to lose your shirt if you don't know what you're doing. This is especially true when it comes to the modern equivalent of my early trading bot: the DIY robo-advisor.

Commercial robo-advisors like Betterment and Wealthfront have made automated investing accessible to everyone. They’re a fantastic option for passive investors who want a “set it and forget it” solution. But for those of us who are a bit more hands-on, who want to peek under the hood and have a say in how our money is managed, the one-size-fits-all approach can feel a bit restrictive. That’s where the idea of a DIY robo-advisor comes in. It’s a powerful concept, but it’s not for everyone. So, let’s break down the pros and cons.

The Pros: Why Build Your Own?

1. Ultimate Customization

This is the big one. When you build your own robo-advisor, you’re not limited to a handful of pre-packaged portfolios. You can design a strategy that’s perfectly tailored to your unique financial situation, risk tolerance, and long-term goals. For example, as an investor, I have deep conviction in the future of artificial intelligence. That’s why I’ve personally backed companies like Scale AI and Hugging Face. My personal DIY portfolio has a much higher allocation to AI and deep tech than any off-the-shelf robo-advisor would ever recommend. That’s a level of specialization you just can’t buy.

You can also implement more sophisticated strategies. Want to build a portfolio that shorts the S&P 500 when certain volatility indicators spike? Or maybe you want to use natural language processing to analyze news sentiment and trade based on the results. With a DIY robo-advisor, the only limit is your imagination and your coding skills.

2. Real Cost Savings

Commercial robo-advisors typically charge a management fee of around 0.25% of your assets under management. That might not sound like much, but it adds up. Let’s say you have a $500,000 portfolio. A 0.25% fee means you’re paying $1,250 a year. Over 20 years, that’s $25,000 in fees, not even accounting for the lost returns on that money. That’s a new car, or a year of college tuition for your kid.

Of course, there are other costs to consider, such as data feeds and server hosting. But for most individual investors, these costs are negligible compared to the fees charged by commercial platforms. And as your portfolio grows, the savings become even more significant. That’s money that can be reinvested back into your portfolio, compounding your returns over the long run.

3. You'll Actually Understand Your Investments

There’s no better way to learn about investing than by building your own tools. The process of researching, coding, and backtesting your own strategies will force you to think critically about every aspect of your portfolio. You’ll gain a much deeper understanding of concepts like asset allocation, risk management, and portfolio optimization.

I can honestly say that I’ve learned more from my own investing mistakes and experiments than from any textbook or course. Building my own tools has been a key part of that journey. It’s like the difference between being a passenger in a car and being the one behind the wheel. When you’re in control, you’re much more engaged and aware of what’s going on around you.

4. Complete Transparency and Control

With a commercial robo-advisor, you’re essentially trusting a black box with your money. You might have a general idea of the investment strategy, but you don’t know the specific details of the algorithm or why it’s making certain trades. For a control freak like me, that’s a tough pill to swallow.

When you build your own robo-advisor, you have complete transparency into every aspect of the system. You know exactly what’s happening with your money and why. This level of control can be incredibly empowering, especially during times of market volatility. When the market is crashing, it’s a lot easier to stick to your strategy when you’re the one who designed it.

The Cons: Why You Might Want to Reconsider

Now, before you rush off to open a brokerage account and start coding, let’s talk about the downsides. Building and managing your own robo-advisor is not a walk in the park. It requires a significant investment of time, effort, and expertise.

1. The Time Suck is Real

Don’t underestimate the amount of work required to build and maintain a DIY robo-advisor. This isn’t a weekend project. You’ll need to spend countless hours researching investment strategies, writing and debugging code, and monitoring the performance of your portfolio. And it’s not a one-time effort. The market is constantly evolving, so you’ll need to continuously update and refine your strategies.

If you have a demanding job and a busy family life, you need to be realistic about whether you have the time to take on this kind of commitment. For many people, the convenience of a commercial robo-advisor is well worth the small fee.

2. You Need to Be a Nerd

Let's be blunt. To build a DIY robo-advisor, you’ll need a solid understanding of both programming and finance. On the technical side, you should be proficient in a language like Python and familiar with libraries like pandas, NumPy, and scikit-learn. You’ll also need to be comfortable working with APIs to pull market data and execute trades.

On the financial side, you need to have a firm grasp of concepts like modern portfolio theory, asset allocation, and risk management. If you don’t have this foundational knowledge, you’re essentially flying blind. And that’s a very dangerous way to invest your money.

3. The Battle Against Your Own Brain

One of the biggest advantages of commercial robo-advisors is that they take the emotion out of investing. They follow a disciplined, rules-based approach, which can help you avoid making impulsive decisions during times of market stress. When you’re managing your own portfolio, it can be all too easy to let fear and greed cloud your judgment.

I’ve seen it happen time and time again. An investor panics during a market downturn and sells everything at the bottom. Or they get greedy during a bull market and take on too much risk. A well-designed robo-advisor can help you avoid these common pitfalls. But if you’re the one in control, you need to have the discipline to stick to your strategy, even when it’s uncomfortable.

4. The Security Nightmare

When you’re dealing with your own money, security is paramount. A bug in your code or a security vulnerability in your system could have devastating consequences. You need to be confident in your ability to write robust, secure code and to protect your system from potential threats.

This is another area where commercial robo-advisors have a significant advantage. They have teams of experienced engineers and security professionals dedicated to ensuring the safety and reliability of their platforms. If you’re going the DIY route, you’re on your own. You need to be prepared to take on that responsibility.

Getting Started: Tools and Strategies

If you’ve weighed the pros and cons and decided that a DIY robo-advisor is right for you, here are a few pointers to get you started.

Essential Tools:

Programming Language: Python is the undisputed king of the DIY investing world. It has a rich ecosystem of libraries for data analysis, machine learning, and algorithmic trading.
Libraries: You’ll want to familiarize yourself with libraries like pandas for data manipulation, NumPy for numerical computing, and Matplotlib for data visualization. For more advanced strategies, you might also want to explore machine learning libraries like scikit-learn and TensorFlow.
Brokerage API: To execute trades programmatically, you’ll need a brokerage account with API access. Some popular options for DIY investors include Interactive Brokers, Alpaca, and Tradier.

Investment Strategies:

Modern Portfolio Theory (MPT): This is the foundational concept behind most robo-advisors. The idea is to build a diversified portfolio of assets that maximizes returns for a given level of risk.
Dollar-Cost Averaging (DCA): This is a simple but effective strategy where you invest a fixed amount of money at regular intervals, regardless of market conditions. It’s a great way to automate your investing and avoid the temptation to time the market.
Tax-Loss Harvesting: This is a more advanced strategy where you sell losing investments to offset capital gains and reduce your tax bill. It can be a powerful way to boost your after-tax returns, but it requires careful planning and execution.

The Final Word

So, should you build your own robo-advisor? The answer, as with most things in life, is: it depends. If you’re a hands-on investor with a passion for technology and a willingness to put in the work, a DIY robo-advisor can be an incredibly rewarding project. It can give you a level of control and customization that you’ll never find with a commercial platform.

But if you’re looking for a simple, passive way to invest your money, you’re probably better off sticking with a commercial robo-advisor. There’s no shame in that. The most important thing is to choose an approach that you’re comfortable with and that you can stick with for the long run.

For me, the journey of building my own financial tools has been one of the most challenging and rewarding experiences of my life. It’s not for the faint of heart—but for those who are up for the challenge, the rewards can be well worth the effort. Just be prepared for a few bumps along the way. And maybe start with a paper trading account before you put any real money on the line. Trust me on that one.

Frequently Asked Questions

How has this view evolved over time?

My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.

Do all experts agree with this view?

No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.

What experience informs this perspective?

This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.

How can I apply this thinking to my own situation?

Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.

The Pros and Cons of DIY Robo-Advisors.