Life & fun · alternatives · 2026
24 alternatives to Optimal Stock Weights in a Portfolio, Tangency & Global Min Variance.
A Bayesian based architecture to evaluate the optimal weights of different stocks in a portfolio according to Global Minimum Variance and Tangency optimization problem. - pranjanpr/Quant-MELO-Portfolio
This tool calculates optimal stock weightings for investment portfolios, including tangency portfolio and global minimum variance solutions. It helps investors determine how to allocate capital across stocks to achieve… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Optimal Stock Weights in a Portfolio, Tangency & Global Min Variance. launched in 2022; newer entries below may have overtaken it.
- 1
Statistical and Algorithmic Investing Strategies for Everyone - tradytics/eiten
2020 · github.com · its alternatives →
- 2
Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 3
Hi everyone, I wanted to share Quantus, a finance learning and practice platform I’m building out of my own frustration with traditional resources. As a dual major in engineering and finance who started my career at a hedge fund, I found it challenging to develop hands-on financial modeling skills using existing tools. Platforms like Coursera, Udemy, Corporate Finance Institute (CFI), and Wall Street Prep (WSP) primarily rely on video-based tutorials. While informative, these formats often lack the dynamic, interactive, and repetitive practice necessary to build real expertise. For example,…
2024 · quantus.finance · its alternatives →
- 4
Invest in algo-driven, automatically rebalanced portfolios built by quants. Congressional trades, AI stocks, leveraged strategies and more. Start with $50.
2021 · getquantbase.com · its alternatives →
- 5CA
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…
2022 · cashgraphs.com · its alternatives →
- 6
Intelligent portfolio management for self-directed investors
2022 · globalpredictions.com · its alternatives →
- 7
2021 · github.com · its alternatives →
- 8
Recently I've been working on making LLM evaluations fast by using bayesian optimization to select a sensible subset. Bayesian optimization is used because it’s good for exploration / exploitation of expensive black box (paraphrase, LLM). I would love to hear your thoughts and suggestions on this!
2024 · github.com · its alternatives →
- 9
The hardest data science tournament on the planet. Predict the stock market with AI to power our hedge fund.
2015 · numer.ai · its alternatives →
- 10
High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
2021 · github.com · its alternatives →
- 11
- 12
AI predicting funding rounds based on startup or VC website
2023 · parsers.vc · its alternatives →
- 13
Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
Apr 2026 · github.com · its alternatives →
- 14SR
2015 · navlio.com · its alternatives →
- 15
4/6 · The workflow of a professional quant trading firm.
2016 · soundcloud.com · its alternatives →
- 16HI
2013 · quantopian.com · its alternatives →
- 17
Hi HN, A while ago I had a mildly depressing realization. Back in 2010, I had around $60k. Like a "responsible" person, I used it as a down payment on an apartment. Recently, out of curiosity, I calculated what would have happened if I had instead put that money into NVIDIA stock. I should probably add some context. For over 10 years I've worked as a developer on trading platforms and financial infrastructure. I made a rule for myself - never trade on the market. In 2015, when Bitcoin traded about 300 usd, my brother and I were talking about whether it was a bubble. He made a bold claim that…
Feb 2026 · shouldhavebought.com · its alternatives →
- 18
Share your LinkedIn. Receive a decision + reasoning in 24h.
Dec 2025 · founder.rule30.vc · its alternatives →
- 19
Invest in algo-driven, automatically rebalanced portfolios built by quants. Congressional trades, AI stocks, leveraged strategies and more. Start with $50.
2021 · getquantbase.com · its alternatives →
- 20
Read the Tape gives players the same 5 S&P500 stock charts per day to predict. You select low, medium or high confidence and then call the chart UP or DOWN. It's a 1d chart which then resolves over 5 days. Alpha is scored against the Monkey Index, a basket of 11 random coin flips at low confidence which provides a tangible win/lose condition. We're two weeks in and some interesting data is being kicked up. Players like to call tops even though stonks go up- 60% of the 70 charts so far resolve higher, players' down calls have only been right 31% of the time. There's a full stats dive at…
Jul 2026 · readthetape.cc · its alternatives →
- 21
Efficient Frontier Based Portfolio Optimisation
2020 · startupanalytics.shinyapps.io · its alternatives →
- 22
A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model - lukstei/trading-backtest
2016 · github.com · its alternatives →
- 23QT
Today we're releasing Quant (https://sourcetable.com/quant), an AI analyst that connects to 600+ exchanges with 1000+ built-in analysis tools. Andrew, CTO, has a background building software at hedge funds so we put his knowledge and experience into this application. The core idea: if you already know spreadsheets, you shouldn't need to learn Python/R or set up complex infrastructure to do serious quantitative analysis. One way to think of Quant is a low-cost Bloomberg Terminal alternative. What's inside: Portfolio optimization (including Dalio's risk parity approach),…
2025 · its alternatives →
- 24PI
Hey HN! I'm Alex, one of the co-founders at Global Predictions. We are officially launching PortfolioPilot today! Since starting the company 2 years ago, we’ve been working tirelessly to build a personal portfolio management platform that empowers everyday people to feel more confident investing. We focused on aggregating your entire net worth, evaluating across a set of standardized metrics, and offering suggestions based on our commercial-grade Macro Insights & Recommendation Engine. We started by building a product we wanted to use and iterated and refined based on early user feedback. We…
2022 · its alternatives →
Also compare
- Eiten – open-source tool for portfolio optimization alternatives
- A radically more scalable alternative to Bayesian Optimization alternatives
- Quantus – LeetCode for Financial Modeling alternatives
- Deploy your own algo-trader in 5 minutes with 0 code alternatives
- CashGraphs – A securities portfolio optimizer alternatives
- Global Predictions PortfolioPilot alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →