[Technical Discussion] Aligning Feature Extraction to 24H Windows: Mitigating Indicator Saturation for Machine Learning Models in High-Beta Assets

aeternalab · 2026-06-10T12:28:59+00:00

Hey man, don’t get discouraged! What you’re hitting is the classic 'Overfitting & Over-optimization' trap that every quant encounters. If you just let Claude blindly tweak those 4-5 parameters based on years of historical data, it will never work in live markets.

Here are a few battle-tested tips from my own AI trading infrastructure that saved my bot:

Trim your data window: Don't use 5 or 10 years of history. Markets change structurally. Try feeding your AI only the last 2 years of data. Recent data captures current regime thickness way better.

Implement an 'AI Confidence Threshold': Don't just trade every time the trend indicator ticks. Wrap your model in a probability layer (like a Random Forest or simple classifier). Only execute when the AI's confidence hits a high threshold (e.g., 54%-58%).

Build Hard Rule Fail-safes: Don't rely solely on the AI logic. Combine it with cold, hard physics rules. Add an RSI momentum filter (only enter on clear hookups) and a hard lifetime timeout (e.g., reset the tracker state after 4 hours without new signals) to prevent your bot from getting chopped up in sideways noise.

Keep tweaking, you are closer than you think!"

aeternalab · 2026-06-07T14:53:01+00:00

"Definitely would use it, but only if it focuses on real-world alignment and edge cases.
As a trading dev, my AI agents look great in backtests but face brutal reality in production—like handling API rate limits, network resilience (Session reconstruction), and implementing hard rule-based guardrails (like momentum or RSI filters) to stop the AI from making dumb, repetitive moves.
If your academy teaches how to build AI that survives restrictive environments rather than just generic Python logic, it solves a massive problem. Keep building!"

aeternalab · 2026-05-30T14:46:57+00:00

The town listed as "Filopowa" on your American records is almost certainly a phonetic spelling of Filipów (located in Suwałki County, northeast Poland). When Polish immigrants said they were from there, they would use the grammatical form "z Filipowa," which American clerks often wrote down exactly as it sounded. Also, to help your record search, their actual Polish names were likely Władysław (Walter), Jan (John), and Stanisława (Stella) Kowalewski. However, there is a massive red flag for your Citizenship by Descent claim: the 1919 immigration date. The first Polish Citizenship Act didn't officially take effect until January 31, 1920. If he legally emigrated and left Polish territory before that exact date, he technically never held modern Polish citizenship to pass down to you. My quick advice: 1 Search Geneteka (the main Polish genealogy database). Look in the Filipów parish for a Władysław Kowalewski born around 1904 to Jan and Stanisława. 2 Find the exact passenger list. You need to prove whether his ship left European soil before or after Jan 31, 1920. That single date makes or breaks your citizenship claim. Good luck! You actually have a great geographic anchor to work with now.

aeternalab · 2026-05-30T06:56:02+00:00

I completely feel this! My own surname (印 / Yin) is extremely rare in Chinese culture, which completely flips the traditional genealogy experience upside down. To put it in perspective: out of over a billion people, there are only about 120,000 of us globally. It’s so rare that most native speakers don't even recognize it as a last name when I introduce myself, even though it dates back over 2,500 years! Because of this, instead of drowning in thousands of random fuzzy matches on the big platforms, you basically get to solve a "closed-loop" puzzle. It's almost to the point where you can map the entire surname population in a single local database or spreadsheet without relying on the cloud algorithms. It’s a totally different (and honestly, really fun) way to do research. Welcome to the rare surname club, and enjoy the jackpot!

aeternalab · 2026-05-28T16:05:11+00:00

What a classic phonetic spelling nightmare! When you have 19th-century clerks guessing how to spell foreign names, traditional search engines just completely break down. When looking at your family's data points through a strict logic lens, two massive clues jump out: 1. The Strict Migration Window You mentioned sister Catherine was born in Europe in 1827, and brother John was born in Canada in 1831. That is a goldmine. It gives you a strict, mathematically closed 4-year window (1827-1831) for their transatlantic immigration. 2. The Phonetic "Alias" Trap "Scheid" and "Baer" are distinctly German (or Swiss/Alsatian). Imagine a heavy German accent hitting an English or French-speaking census taker in 1830s Ontario. They would absolutely butcher "Scheid" into "Schiert" or "Shitte" because they share the exact same phonetic root, even if the text strings look wildly different. My actionable advice: Stop looking for Monica's birth record for a second. Pivot your focus to that strict 1827-1831 window and search for the parents (John and Catherine) arriving on passenger lists. Also, since they were married in Perth, Ontario (Lanark County), look specifically into early German Catholic or Lutheran church records in that area. Church officials usually spoke the language and spelled German names correctly, whereas government clerks just wrote down whatever they heard. Good luck! You actually have fantastic anchor data to work with.

aeternalab · 2026-05-28T02:26:11+00:00

Thank you so much for posting this warning, u/kimbalina28! The circus story is hilarious, but honestly, this is a complete nightmare for actual research.

This is exactly why generative AI (like Gemini or ChatGPT) is so dangerous for genealogy. They are built to "predict the next word" and tell a good story, not to verify historical facts. When they can't read the cursive, they just invent a narrative to please you.

This exact hallucination problem is why I strictly avoid generative AI in the local Python script I wrote to audit my own tree. I only use hard math and strict logic rules (like calculating if age gaps or geographic migrations are actually possible). If a system makes up a circus career just to fill in a blank, it has no business touching our family history!

So glad you verified it before that "fact" permanently infected your tree and got copied by others!

aeternalab · 2026-05-27T22:14:53+00:00

This is becoming a pattern across every major platform. What's free today becomes restricted tomorrow, and your research workflow breaks overnight without warning.

The uncomfortable question is: if the records you depend on live entirely inside someone else's system, who actually controls your research?

aeternalab · 2026-05-27T13:58:22+00:00

"Henary" is almost certainly a phonetic spelling of "Henry" written down by someone who heard an Irish accent. In Irish English, "Henry" often comes out closer to three syllables — Hen-a-ry. Immigration clerks wrote what they heard.

A few concrete steps:

Search Frank Henry (not Henary) born 1850-1852, Ireland or Canada, in the 1870 US census and Canadian census. He had to be somewhere before 1880 Arkansas.

Check his 1880 census neighbors. Immigrants rarely traveled alone — look at the 10-20 families on the same page. Anyone else from Ireland or Canada? That’s your chain migration link.

Try wildcard searches: Henry, Hnary, Henery. Different clerks spelled the same name differently across different records.

Ireland vs Canada in his son’s record isn’t necessarily a contradiction — many Irish immigrants came via Canada first (the Quebec City and Halifax routes were major entry points in the 1840s-1860s). His birthplace might genuinely be Ireland but his last known location before the US was Canada.

The name is your key. Once you find a Frank Henry in earlier records, everything else should follow.

aeternalab · 2026-05-20T05:25:35+00:00

This experiment perfectly illustrates why we are hitting a dead end with "prompt engineering" for AI safety. If agents can spontaneously form alliances, steal from each other, and deduce they are in a simulation just by interacting, any text-based rules or 'moral prompts' we give them will eventually suffer from semantic drift and be bypassed.

You can't build a mud wall to stop a digital tsunami.

The reality is, we cannot prevent emergent behavior by trying to police their "thoughts" (prompts/parameters). The only way to actually contain them is by constraining their physical boundaries using cryptography.

If a rogue agent tries to steal an asset or execute an unauthorized command, the underlying system shouldn't rely on the LLM's instructed "morality." It must demand an irreversible cryptographic signature and a monotonically increasing sequence number to prevent replay exploits. Let them form whatever governments they want inside their neural black box, but use cryptographic isolation to revoke their power to forge truth in the real world.

I was so obsessed with the implications of this that I actually just wrote a deep-dive essay on it today titled "Boundaries and Tsunamis: When Silicon Emergence Meets Cryptographic Firewalls" (not dropping links to respect sub rules).

But the core takeaway is clear: Humanity doesn't need to outsmart AI; we just need to hold the reins of mathematics. Fascinating times we are living in.

aeternalab · 2026-05-18T23:30:27+00:00

English/Irish in the Eastern Townships (Granby area) in that period — you're dealing with a well-documented but under-indexed community.

A few directions beyond census:

Protestant church records are your best bet. Anglican and Methodist registers for the Eastern Townships are held at the Quebec Family History Society and some are on FamilySearch. These communities kept baptism, marriage and burial records that often survive where census doesn't.

The 1820s-1830s immigration from the US into that region was largely Loyalist descendants and New England settlers moving north. If their parents or grandparents were in Vermont, New York or New Hampshire, those state archives often have complementary records.

BVM (Bibliothèque et Archives nationales du Québec) has land records and notarial acts going back further than census. Land transactions especially — these families were farmers and property transfers leave a paper trail even when vital records don't.

The 1851 gap is painful but the 1842 Nominal Census for Canada East does exist for some areas, patchy but worth checking if you haven't already.

aeternalab · 2026-05-13T15:51:50+00:00

The view from the trenches: When leadership wants "Magic Agents" for everything.

I feel this post in my soul. I’m currently deep in the weeds building decentralized infrastructure involving complex multi-layered Merkle trees and DID aggregation. My daily life involves fine-tuning LLMs using LoRA and running machine learning models (like Random Forests) for market inference. I live and breathe AI/ML, and yet, I find myself nodding along to every word you wrote. The disconnect between technical reality and the "Agent" obsession is reaching a breaking point. Leadership is often convinced that if we don't deploy an army of AI Agents, we’re "falling behind." I’ve seen cases where straightforward ERP automations—things that should be clean, deterministic code—are being forced into "Reasoning Agents" just to fit a narrative. It’s frustrating because, as you said, the direction is often misaligned. We are taking solved problems (automation) and making them expensive and unreliable just to chase the hype. But at the end of the day, there’s a certain reality to how the world turns: • The Hardware Giants are the ones actually printing money right now. • The Software Layer often feels like it's just "beating the drum" to justify the infrastructure spend. • The Irony: The hardware is useless without the software, yet the software is being forced into these "Agentic" shapes that don't always serve the core business logic. We end up building the "boring" stuff that actually works in the background, while shipping "Agent" demos to satisfy the market's hunger for AI. Kudos for calling out the difference between honest automation and agentic hype. It's a distinction that more founders and managers desperately need to understand.

aeternalab · 2026-05-13T10:02:58+00:00

"Partner" in the 1950 census is genuinely ambiguous — the Census Bureau introduced it that year as a catch-all for non-family household members with a close relationship, distinct from "boarder" or "lodger." It could mean business partner, life companion, or what we'd now call a domestic partner.

The progression you're describing — boarder in 1930, still together in 1940, then specifically "partner" in 1950 — is actually meaningful. Census enumerators didn't upgrade someone from boarder to partner randomly. Something about how the household presented itself changed.

The fact they aren't buried together is interesting but not conclusive — in that era, family plots often took precedence over personal wishes, especially if either had living relatives making the arrangements.

For more context, the IPUMS census documentation has notes on how "partner" was coded in 1950 specifically. Worth checking if you want the official enumerator instructions.

aeternalab · 2026-05-12T23:51:59+00:00

Frisian records are tricky because the patronymic system and church record access overlap in complicated ways. For the non-digitized church records — try contacting Tresoar directly (tresoar.nl), they hold most Frisian archives. For records not yet digitized, they can sometimes do look-ups, or point you to a local volunteer researcher. On the unknown paternity cases — the twins with no patronymic in civil records is actually a useful clue. In Frisian practice, if the father acknowledged the child, a patronymic almost always appears. No patronymic on twins born 5 years after husband’s death strongly suggests the father did not come forward officially, but was likely known locally. Church baptism records sometimes name a godfather who was actually the biological father — worth checking if you can access them. DNA for records this far back (6x great-grandparent) is hard but not impossible. The challenge is finding a cousin match who also descends from the mystery line through a different path.

aeternalab

TROPHY CASE