CashGraphs – A securities portfolio optimizer
Hello, This is a portfolio optimizer I made to help select portfolios for my clients. I'm a personal financial adviser. I generally put my clients in a mix of low-fee index funds and ETFs and I use this to set an appropriate allocation based on the client's risk tolerance. I have been working on this as a side project to 1) improve the theoretical underpinnings of my investment recommendations and 2) improve my coding skills with frameworks like Vue and Torch. Here's the repository for the frontend: https://github.com/justinluther502/cashgraphfront. The frontend site is…
In plain words
CashGraphs is a portfolio optimizer designed for financial advisers to help clients build diversified investment allocations. It recommends mixes of low-fee index funds and ETFs tailored to individual risk tolerance levels. The tool uses Vue for its frontend interface and Torch for backend optimization calculations running on AWS Lambda. It serves financial professionals seeking to improve their investment recommendation methodology and clients looking for data-driven portfolio allocation guidance.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello, This is a portfolio optimizer I made to help select portfolios for my clients. I'm a personal financial adviser. I generally put my clients in a mix of low-fee index funds and ETFs and I use this to set an appropriate allocation based on the client's risk tolerance. I have been working on this as a side project to 1) improve the theoretical underpinnings of my investment recommendations and 2) improve my coding skills with frameworks like Vue and Torch. Here's the repository for the frontend: https://github.com/justinluther502/cashgraphfront. The frontend site is Vue 2 + Vuetify, and the backend is an AWS lambda function running the Torch optimizer. I am still working out kinks in the backend, particularly cold-start issues because the Lambda function has to load the entire Torch library (~2GB). This occasionally causes the AWS API Gateway to reach max timeout before the Lambda function finishes. Any tips on addressing this would be much appreciated. My first thought is maybe to pare down the Torch library used in the Lambda function because I am only using a small subset of the full library. The optimizer function itself is designed to overcome several classic shortcomings in Modern Portfolio Theory (MPT) (https://en.wikipedia.org/wiki/Modern_portfolio_theory). Unlike textbook implementations of MPT, this optimizer can utilize non-normal returns distributions, risk metrics besides variance, and can allow the user to specify tail behavior, such as asset correlations behaving normally most of the time but converging to 1.0 in severe downturns. Most of these "fixes" happen during the generation of custom "flavors", or asset selection universes. I have 3 flavors pre-built and there is some information on how they are constructed in the flavor selection page. Any feedback greatly appreciated! Justin Luther [email protected] https://www.lutherwealth.com
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com
Launched alongside, July 2022
the whole month →
- PO
Life & fun · 2022 · justine.lol
- PO
Dev tools · 2022 · github.com
- PP
Hello, HN - I wanted to share this puzzle game I made during my vacation. I'm rather fond of the pipes puzzle where your goal is to restore a scrambled network of connections by rotating tiles. It's usually played on a grid of squares and this all started when I decided to make a programmatic solver for that kind of puzzle. Then I realized that with some minor changes the solver could generate new puzzle instances. I thought about what kind of puzzle to make and someone suggested a hexagonal grid. Adapting the generator wasn't too hard but then I had to create a way to play this variant. So…
Life & fun · 2022 · hexapipes.vercel.app
- PD
We're building Parsnip to create a "tech tree" of cooking skills that allows anyone to level up on the building blocks of cooking knowledge while tracking their progress over time. It took us a few iterations to figure out the right product; here's the story of our latest pivot: [https://parsnip.substack.com/p/a-new-hope] The goal is to create a personalized way to learn any recipe on the Internet, then use this as a springboard to help home cooks of all levels solve the problem of repeated meal planning in a 10x better way:…
Work · 2022 · parsnip.ai