Show HN: Eiten – open-source tool for portfolio optimization

Is it possible to factor (e.g. GRI) sustainability criteria into the portfolio fitness function? <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=21922558" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=21922558</a><p>My concern is that - like any other portfolio optimization algorithm - blindly optimizing on fundamentals and short term returns will lead to investing in firms who just dump external costs onto people in the present and future; so, screening with sustainability criteria is important to me.<p>From <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=19111911" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=19111911</a> :<p>&gt; <i>awesome-quant lists a bunch of other tools for algos and superalgos: <a href="https:&#x2F;&#x2F;github.com&#x2F;wilsonfreitas&#x2F;awesome-quant" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;wilsonfreitas&#x2F;awesome-quant</a> </i>

Hi, developer of the tool here. Have been dabbling in trading for about two years and have plenty of data science experience. Trying to merge the two by working on a lot of tools right now. This one was inspired from a few lectures at the MIT&#x27;s 18.S096 (Topics in Mathematics with Applications in Finance) course that I am taking right now on the OCW.<p>If you have any questions or comments, happy to discuss.

I understand none of these concepts. If you&#x27;re like me, make sure you take the time to learn these things before you trust any tool to help you invest.<p>This is not to say I disagree with this or think it&#x27;s bad, it&#x27;s probably great. Just please don&#x27;t invest with until you understand. Then go for it.

I&#x27;m curious how it differs from PyPortfolioOpt.<p><a href="https:&#x2F;&#x2F;github.com&#x2F;robertmartin8&#x2F;PyPortfolioOpt" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;robertmartin8&#x2F;PyPortfolioOpt</a>

I&#x27;m not sure if this tool is any good, I&#x27;ll be playing w&#x2F;it tomorrow - but the company behind it just got $50 from me so I can check their whole thing out- seems neat.

Hi, very interesting tool. Thanks for sharing. While playing with it, I see some weights that are confusing. In some portfolios I see weights that are &gt; 1 as well as some that are -ve (and I have long only portfolios) - so not sure how to interpret this (does &gt;1 mean use leverage? I haven&#x27;t read the blogs in detail yet, but are these portfolio weights static (ie equivalent to buy and hold in these ratios)? Is there anything like recomputing weights periodically and rebalancing the portfolio?

Can you load other datasets like these used by Elastic in Generating and visualizing alpha...? <a href="https:&#x2F;&#x2F;www.elastic.co&#x2F;blog&#x2F;generating-and-visualizing-alpha-with-vectorspace-ai-datasets-and-canvas" rel="nofollow">https:&#x2F;&#x2F;www.elastic.co&#x2F;blog&#x2F;generating-and-visualizing-alpha...</a>

Nice! I tried building a way dumber version of this for myself, but based on ~realtime data. This looks better.

Very cool, thanks for sharing. Currently sitting in the early drawing board stage of a potential portfolio tool for a small pool of asset managers in my north-European country, so this was very interesting to look at.

How easy is it to customize? For example can I change the time frame of the backtest or have it backtest non consecutive days?

Does the optimization include rebalancing + trading costs?

Does this include reinvested dividends?

Is this also work for etf ?