Learning to Invest Smarter in Singapore
Let’s face it — investing can feel overwhelming. There’s too much noise, too many strategies, and not enough clarity on what actually works. Like many others in Singapore, I started off just trying to make sense of the market. But I quickly realised that trial and error is a painful (and expensive) way to learn — I lost five figures in just six months.
That’s why I started this blog: to document my search for investing role models I can truly learn from. Not just the Warren Buffetts or Ray Dalios of the world (though their wisdom is timeless), but someone closer to home. Someone who has walked the talk — preferably in Singapore or Southeast Asia — with a system that works in our context. A mentor figure I can model after.
The goal? To shortcut my learning curve. To learn faster, avoid costly mistakes, and build an approach to investing that’s practical, sustainable, and tailored to where I am.
If you’ve ever felt the same — stuck, lost, or just hungry to improve — I hope you’ll find value in my journey and sharings. Let’s uncover the role models worth following, and learn to invest better, together.
To make this process easier, I’ll be using ChatGPT to help with research — digging into prominent brands, educators, and personalities in the space. I’ve used GPT successfully before (like finding a great gym coach who helped me rethink things I hadn’t even considered), so I’m applying that same framework here.
Just to be clear: nothing on this blog is an endorsement of any individual or company. Everything shared will be based on publicly available information or my own personal experiences over time.
And honestly? I just needed a place to keep things organised. Random posts and scattered notes weren’t cutting it anymore. So here it is — my investing journal, in blog form.
It helps me keep track of all the research I’ve done, and if any of it happens to benefit you too, feel free to make use of it.
(Note: All posts are written with the help of ChatGPT to improve clarity and save time. That said, any research generated by ChatGPT shouldn’t be taken as absolute — there may still be gaps or inaccuracies at this stage.)
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