cg94301

5 ms·

1.
by cg94301 6y ago
You can find patterns without necessarily overfitting to them. It's more a question of correlation vs causation. Looking for patterns reported in research papers would be more promising. But cannot automate that.
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by cg94301 6y ago
Created SAAS to automatically generate trading strategies from price/volume data. The strategies are optimized to achieve high Sharpe ratios. However, it turned out that Sharpe ratio had little value in predicting out-of-sample perform
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by cg94301 6y ago
Built a SAAS app that automatically generates trading strategies from price/volume data. The strategies were optimized to achieve high Sharpe. However, it turns out that high Sharpe has little value in predicting out of sample performa
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by cg94301 7y ago
The hard problem is to provide processor performance scalability in a post-Moore world. We are tackling this by event based, near-memory, sparse computing. Traits that can be just as well attributed to the brain. The challenge here is that
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by cg94301 7y ago
At GrAI Matter Labs we are working on next gen non-von Neumann brain inspired computing assuring post-Moore performance scalability. This technolog is only moving now from research to production and has been labeled as transformational by
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by cg94301 7y ago
At GrAI Matter Labs we are working on next gen non-von Neumann brain inspired computing assuring post-Moore performance scalability. This technolog is only moving now from research to production and has been labeled as transformational by
7.
by cg94301 9y ago
Using Python Sphinx. Compiles markdown to html. Searchable, TOC, index. http://www.sphinx-doc.org/ .