Understand U.S. stocks by asking “who is moving the market.”
Elnath Finance Academy provides general, impersonal market-data methodology, industry and earnings research, and a regularly scheduled daily brief. We believe transparent methods and a verifiable process are worth more than any promise.
For educational and informational purposes only — not investment advice or a personalized recommendation.
What we do
Three content pillars
All general and impersonal — no entry/exit calls, no single-stock trade instructions.
Market-data methodology
S&P 500 point contribution and Sector-ETF constituent contribution — a transparent way to see which stocks are actually driving the index.
Learn moreIndustry & earnings research
General, impersonal industry views and earnings deep-dives that emphasize method and sources — never entry/exit calls.
Learn moreDaily market brief
A regularly scheduled, audience-wide market snapshot and news roundup, delivered to your inbox by email.
Learn moreAbout the founder
A methodology-first researcher, not a tout
Elnath Finance Academy was founded by Howard — a Master of Science in Finance candidate at USC Marshall and a CFA Level I passer. Our content emphasizes data sources, calculation methods, and reproducibility. Every market figure is computed by code with an open method — never gut-feel stock tips.
Meet our positioning and methodOur principles
- Show the process, not promises
- Numbers computed by code, methods kept transparent
- General and impersonal — no single-stock trade instructions
Latest research
Research
Running Hot, or a Moving Ruler? GDP, AI, and Whether 'Normal' Inflation and Interest Rates Change With the Times
On September 30 the BEA publishes its third estimate of second-quarter GDP. Two stories are circulating ahead of it: the economy is running too hot and the Fed will keep hiking; and AI is opening a new era in which the old yardsticks no longer apply. This article tests both against public data. What is high is prices, not output. AI investment has reached a record share of GDP going back to 1947, while an AI productivity boom is not yet visible. The yardstick for interest rates really does move with the times; the yardstick for inflation is deliberately held still. And the great technological breaks of the past (the Industrial Revolution, electricity, the internet) changed the ruler for growth, not the ruler for inflation.
31 min readIs 5% High? US Treasury Yields Since 1962, and the Ruler That Decides the Answer
The 10-year Treasury yield closed at its highest level since October 2023, and the 30-year at its highest since July 2007. Whether 5% is high depends entirely on which stretch of history you measure it against: against every trading day since 1962 today's level sits below the median, while since 2008 only 0.19% of days have been higher. This article measures that ruler from public data, and takes apart why rates reached 15.84% in 1981, what pulled them down for forty years, why they came back after 2021, and what presidents, oil, mortgages and the technology industry each had to do with it.
30 min readWhat We Call “Working” Is Not What You Call “Making Money”
The first two articles tested 20,934 chart patterns and 49 technical signal types. Both returned zero. But readers keep asking the same question: then why do some people make money? Half the answer is not in the data — it is in the definitions. We never measured profit, our shortest holding period is one trading day, and we require a signal to survive an average of 2,661 occurrences while a trader needs only their own few dozen trades. Change nothing but the benchmark and the share of test cells that "work" falls from 81% to 22%.
8 min read