Philip Smyth
@philsmyth
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Polished calc proof collab w/ @grok —ready for Math-Agent review! https://t.co/2dMJALfYGY
@xai #xAI #GrokMath
drive.google.com
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Equities in Dallas - the final chapter.
BIG NEWS for Texas today! @NYSE is launching NYSE Texas in Dallas. This will cement Texas' position as a national and global economic powerhouse. Texas will be the financial capital of America.
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Beach day checklist: ✅ Towel ✅ Umbrella ✅ Sunscreen ✅ Book ✅ $NVDA P/C Collar
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So, even more than my career, his biggest impact on my life may have been through my personal finances and those close to me. Thank you, Laszlo.
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Based on our work at Birinyi Associates I got myself, my parents and anyone else who would listen max long equities. Of course this turned out to be a spectacular investment.
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We produced the numbers to back it up. This was 1990 and it was far from obvious. The crash was still fresh in everyone’s mind and the market was below where it had been 3 years ago.
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Remembering Laszlo Birinyi. I got my start in quantitative analysis working for him. More than anything else, he was a classic bull and believer in the value of equity investing.
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I think part of the problem for GPT is the comparatively small number of good tutorials freely available on the web.
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Although the fact that it can give it a good try in seconds is amazing. It took me a few days to put together the python code for mine, which probably contains errors of its own.
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Spot and 1 Year Forward curves generated by GPT Code Interpreter (left) and myself (right). GPT seems to have a hard time with bond calculations.
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7/ It borders on criminal negligence that much of the Northeast burns oil to heat their homes. In addition to the pipeline projects described above, the President should work with Congress to amend the Jones Act to create an exception for LNG carriers to serve this region.
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The resulting misery index for each state is presented as a sorted table from worst to best.
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Instead of the much debated "tradeoff between the economy and lives" we find that the hardest hit areas have tended to suffer both economically and in loss of life. A regression line is plotted on the chart.
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I'm using the pandemic-to-date change in the unemployment rate and the fatalities to date (per 10,000 population to normalize it to the same magnitude as the U/E change).
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New bummer chart. Remember the 70's? They had the "misery index" which was Unemployment + Inflation. I decided to have a go at constructing a COVID misery index.
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