I have officially retired from Emacs

For nearly three decades, Emacs wasn’t just my text editor; it was an extension of my mind. I lived and breathed in that environment, automating everything, sculpting it to my exact needs with Elisp, and generally believing it was the pinnacle of productivity. But, recently, I made a surprising decision: I’ve officially retired from Emacs… as my primary work tool.

Yes, you read that right. I’ve traded in my beloved, endlessly customizable editor for the seemingly mundane world of finance. And honestly? It’s the best decision I’ve made in years.

§The Unexpected Path: From Code to Cash Flow

It wasn’t a planned transition. For years, I worked as a software developer, relying heavily on Emacs for everything from coding to writing documentation to managing projects with Org-mode. It was efficient, powerful, and incredibly satisfying. But as I approached 50, a quiet unease started to creep in.

The software world is fantastic, but it’s also incredibly volatile. Layoffs are common, technologies change rapidly, and staying relevant requires constant learning. I started looking for something more… stable. Something that utilized my analytical skills but offered a different kind of payoff. I began exploring personal finance, initially just to get my own affairs in order.

Then something clicked.

I realized that many of the skills I’d honed in software development – problem-solving, logical thinking, data analysis, and automation – were directly transferable to finance. But the tools were different. Instead of Emacs and Python, I found myself spending more and more time in spreadsheets.

§Why Finance? Beyond the Stability

Stability was a key factor, certainly. But the appeal of finance went deeper than just job security. I discovered a genuine fascination with:

Data-Driven Decision Making: Finance is, at its core, about analyzing data to make informed decisions. This resonated deeply with my programming background.
Tangible Results: Unlike abstract code, the results in finance are often very concrete – increased savings, investment returns, achieving financial goals.
Continuous Learning: The financial world is constantly evolving, with new regulations, investment opportunities, and analytical techniques. It keeps things interesting.
Potential for Income Diversification: The skills I’m learning aren’t limited to a single employer. They can be applied to side hustles, freelance work, or even building my own financial products.

§The Tools of the Trade: Excel, Python, and Beyond

Let’s be clear: I haven’t completely abandoned my coding roots. Python, in particular, is a powerful tool for financial analysis, and I still use it for complex tasks. However, the daily driver has shifted. Here’s a breakdown of the tools I’m now relying on:

Microsoft Excel: This is the workhorse. I'm proficient in using functions, pivot tables, macros (VBA is...different from Elisp, let’s say!), and data visualization. It's surprisingly powerful once you go beyond the basics. https://example.com/ - Consider a Microsoft Office subscription for full access to Excel.
Google Sheets: A great free alternative to Excel, and perfect for collaboration.
Python (with Pandas and NumPy): For more complex data manipulation, statistical analysis, and backtesting. Libraries like matplotlib and seaborn are essential for creating informative visualizations.
Financial Modeling Software: Tools like https://example.com/ – offer pre-built templates and advanced features for valuation, forecasting, and scenario analysis.
Bloomberg Terminal/Refinitiv Eikon (depending on role): These are industry standards for accessing real-time financial data and news. They're expensive, but invaluable for certain roles.
Trading Platforms: Depending on my investment strategy, I utilize various trading platforms for executing trades.

§The Skills That Transferred (and the Ones I Had to Learn)

My Emacs/software development background gave me a significant head start, but it wasn't a seamless transition.

§Skills that transferred remarkably well:

Problem-Solving: Breaking down complex financial problems into smaller, manageable steps.
Logical Thinking: Analyzing financial statements, identifying trends, and making reasoned judgments.
Data Analysis: Extracting meaningful insights from large datasets.
Automation: Using Python and Excel macros to automate repetitive tasks.
Attention to Detail: Critical for accuracy in financial calculations and reporting.
Debugging: Financial models, like code, can have bugs!

§Skills I had to acquire:

Financial Accounting: Understanding the basics of balance sheets, income statements, and cash flow statements.
Investment Principles: Learning about different asset classes, risk management, and portfolio construction.
Valuation Techniques: Determining the fair value of companies and assets.
Financial Regulations: Staying up-to-date on the ever-changing legal landscape.
Excel Mastery: Moving beyond basic spreadsheet skills to advanced formulas, macros, and data analysis techniques.

§Is This Career Change Right For You?

If you’re a tech professional considering a move to finance, here’s what I’d suggest:

Assess Your Interests: Do you genuinely enjoy working with numbers and analyzing data? Are you fascinated by the financial markets?
Start Learning: Take online courses, read books, and practice building financial models. Platforms like Coursera, Udemy, and edX offer excellent resources.
Network: Connect with people working in the finance industry. Attend webinars, join online communities, and reach out to people on LinkedIn.
Build a Portfolio: Create a personal finance blog, build a stock portfolio simulator, or contribute to open-source financial projects.
Be Prepared to Learn: The financial world is complex and constantly changing. Embrace a mindset of continuous learning.

§The Future: Diversification and Financial Independence

I’m not suggesting everyone ditch their text editors and jump into finance. Emacs remains a powerful tool, and I still use it for personal projects and writing. But for me, the shift has been incredibly rewarding.

I'm building a diversified income stream combining freelance financial analysis with passive income from investments. The goal isn’t just financial security; it’s financial freedom – the ability to control my time and pursue projects I’m passionate about.

And while I may no longer spend my days immersed in Elisp, I find that the same principles of efficiency, automation, and problem-solving that made me a productive Emacs user are equally valuable in the world of finance. The tools have changed, but the underlying skills remain.

§A Few Final Thoughts… and a Note on the Org-mode Void

Leaving Emacs as my primary work environment has left a void. I miss the speed, the customization, and the feeling of complete control. Org-mode, in particular, is something I haven’t fully replicated. I’m exploring some task management and note-taking apps, but nothing quite captures the elegance and flexibility of Org-mode. Perhaps that’s a project for retirement… a different kind of retirement project.

Ultimately, this transition has taught me a valuable lesson: skills are transferable. The ability to learn, adapt, and solve problems is far more important than any specific tool or technology. And sometimes, the most unexpected paths lead to the greatest rewards.

Disclaimer: I am not a financial advisor. This article is for informational purposes only and should not be considered financial advice. Always consult with a qualified professional before making any investment decisions. I may receive a commission from purchases made through the https://example.com/ and https://example.com/ affiliate links in this article.