u/RickHyperBoii ·
Reddit — r/algotrading
· May 21, 2026 at 09:13
· ⬆ 19 pts
· 💬 7 comments
| View on Reddit ↗
AI Summary
Summary
The post describes a student's self-built quant simulator website (Amethyst) for learning models like Monte Carlo, GBM, Heston, etc.
The author asks for feedback on whether they are learning the right concepts and what to focus on next, not expressing any market thesis.
Quality assessment: This is educational content / noise from a learning perspective; not a DD or trade analysis.
Score19
Comments7
Upvote %92%
▶ Full Post Text
Hey everyone, I’m a student currently trying to learn quantitative finance more deeply, and while learning I started building a small website to help me understand models visually and practically instead of just reading papers/docs.
It currently has simulations+breakdowns for things like Monte Carlo, GBM, Ito Lemma, Heston, OU processes, etc. I also added derivations, intuition, failure cases, Python implementations, and some sandbox tools using live market data/paper trading to experiment with assumptions.
I mainly built it as a learning project for myself but I wanted to ask people here who are into/more experienced in quant/financial engineering. Few questions i wanted to ask:
\- Am I learning the right things?
\- Are there concepts/models I’m missing?
\- Are there parts that seem unrealistic or academically incorrect?
\- What would you recommend focusing on next?
I would genuinely appreciate feedback since I’m still learning and trying to improve.
https://amethyst-1fu1.vercel.app