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Systematic AI Investing Portfolios

Andreas Himmelreich

Systematic Investing Portfolios — Built with AI & Machine Learning General Posts are free! \ud83d\udd39 Includes 3 Live (AI) Strategy Books / Portfolios (Small, Mid/Large, Large Cap) for paying subscribers

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Issues109Founded2 years agoLast Issue6 days ago
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Latest Issues

Machine Learning in Quant Finance: Robustness Is Not Replicability

When building systematic trading strategies with machine learning models like LightGBM, it is easy to fall into traditional academic traps. Many practitioners get nervous when a small change in an ML model dramatically alters the output, im...

6 days ago
4

Why Do I Only Have a 5‑Year Backtest on My Actuals Models?

Actuals Data

The models are based on actuals data from FactSet. FactSet captures data from press releases and feeds it to P123. Very potent. Super strong data.

But the data is too sparse before 2020 to test properly.

I analysed it and...

7 days ago
5

Kudos and Thank You to Our Subscribers!

Designer Models ➡️

https://www.portfolio123.com/app/r2g/summary?id=1811955

Subs chasing concentrated 10 Position High Beta Portfolio Strategies.
Carful now, Standard deviation is 51% versus 13% on the SPY!

I will publish a version (i...

12 days ago
2

How AI Factor Really Works — The Full Workflow in One Video

Full Workflow of AI Factor in one Video: have fun!

Best regards,

Andreas

Systematic AI Investing Portfolios is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

a month ago
2

State of the AI Factor Nation

Quick update:

All good. Small and large cap AI Factor models are humming along.

About 13 months ago, I started publishing AI Factor models. The results are staggering.

Most importantly, live trading replicates OOS pseudo (the holdout tes...

a month ago
3

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  • Andreas Himmelreich

    Quantitative Investor & Consultant via Portfolio123.com

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