Looking to test strategies on EOD data without hitting a paywall for anything useful. What are people actually using?
Open-source libraries are fine — happy to write code.
Tool/source: ContraFiat
Method: stock/index price divided by gold price to show the asset’s value in grams of gold instead of USD.
Important caveat: S&P 500 is price-only, not total return, so dividends are excluded. This is not a complete stocks-vs-gold comparison — it is a unit-of-account comparison.
The S&P 500 is up 465.8% since 2001 in dollar terms. But when priced in gold, it is down 64.6%. That means one unit of the S&P 500 bought about 142.85g of gold.
Today, it buys about 50.51g.
For same period, NVDA is up 65,293.9% in USD, and still up 3,991.2% when priced in gold. So 1 NVDA share bought 0.03 grams of gold in 2001.
Today, it buys about 1.5 grams of gold.
So this is not a simple “gold beats stocks” point. NVDA destroyed both USD and gold. But the S&P 500 looks very different once the denominator changes.
Assets don't just go “up” or "down". They do that against other assets.
Data Source: ContraFiat
I’m curious how recruiters generally think about this.
In hiring, some candidates look very strong on paper and interview well, but once they join, their actual performance, reliability, communication, or ownership may not match expectations.
For recruiters and hiring managers here: how common is this in your experience? And when it happens, what signs do you usually notice only after the person has joined?
Not looking to call out anyone or discuss specific candidates — just interested in the general hiring pattern.