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Claude for Financial Services

anthropic.com

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Re: Claude for Financial Services

#101

Post by tough »

georgeecollins wrote: post #65
jasonthorsness wrote: post #7

I think their vending machine project might need to succeed before you should trust Claude for investment advice: https://www.anthropic.com/research/project-vend-1 Fun aside, finance and code can both depend critically on small details. Does finance have the same checks (linting, compiling, tests) that can catch problems in AI-generated code? I know Snowflake takes great pains to show whether queries generating repor…

I disagree. Claude may fail at running a vending machine business but I have used it to read 10k reports and found it to be really good. There is a wealth of information in public filings that is legally required to be accurate but is often obfuscated in footnotes. I had an accounting professor that used to say the secret was reading (and understanding) the footnotes. That’s a huge pain in the neck if you want to com…

would anyone pay for an llm that can parse 10k reports hallucination free?

was exploring this idea recently maybe I should ship it

Re: Claude for Financial Services

#102

Post by tough »

tyre wrote: post #67
georgeecollins wrote: post #65

Earlier quoted context omitted.

I disagree. Claude may fail at running a vending machine business but I have used it to read 10k reports and found it to be really good. There is a wealth of information in public filings that is legally required to be accurate but is often obfuscated in footnotes. I had an accounting professor that used to say the secret was reading (and understanding) the footnotes. That’s a huge pain in the neck if you want to com…

For example, UnitedHealth buried in its financials that it hit its numbers by exiting equity positions. It then _didn’t_ include a similar transaction (losing $7bn by exiting Brazil). This was stuck in footnotes that many people who follow the company didn’t pick up. https://archive.ph/fNX3b

how would someone using an LLM to explore the reports find such a thing

Re: Claude for Financial Services

#103

Post by spaceman_2020 »

laughingcurve wrote: post #96
Benjammer wrote: post #91

Earlier quoted context omitted.

This isn't a financial model, they aren't selling the system itself, it's all tooling for data access and financial modeling. It's like they're setting up an OTB, not like they're selling you a system to pick winning horses at the track.

[flagged]

Anytime the words “AI” or “crypto” show up in a thread, the collective IQ of this place drops by 50%

If you want some of the worst takes possible on emerging tech, come to HN

But if you want an obscure hack that improves garbage collection in java by 0.1%, also come to HN

Re: Claude for Financial Services

#104

Post by Uehreka »

tough wrote: post #102
tyre wrote: post #67

Earlier quoted context omitted.

For example, UnitedHealth buried in its financials that it hit its numbers by exiting equity positions. It then _didn’t_ include a similar transaction (losing $7bn by exiting Brazil). This was stuck in footnotes that many people who follow the company didn’t pick up. https://archive.ph/fNX3b

how would someone using an LLM to explore the reports find such a thing

This is why it’s important to follow the studies comparing LLMs’ performance in “needle-in-a-haystack” style tasks. They tend to be pretty good at finding the one thing wrong in a large corpus of text, though it depends on the LLM, the flavor (Sonnet, Opus, 8B, 27B, etc) and the size of the corpus, and there are occasional performance cliffs.

Re: Claude for Financial Services

#105

Post by bboygravity »

tough wrote: post #101
georgeecollins wrote: post #65

Earlier quoted context omitted.

I disagree. Claude may fail at running a vending machine business but I have used it to read 10k reports and found it to be really good. There is a wealth of information in public filings that is legally required to be accurate but is often obfuscated in footnotes. I had an accounting professor that used to say the secret was reading (and understanding) the footnotes. That’s a huge pain in the neck if you want to com…

would anyone pay for an llm that can parse 10k reports hallucination free? was exploring this idea recently maybe I should ship it

Grok 4 SuperHeavy can almost certainly do this out of the box?

Re: Claude for Financial Services

#106

Post by Havoc »

jasonthorsness wrote: post #7

I think their vending machine project might need to succeed before you should trust Claude for investment advice: https://www.anthropic.com/research/project-vend-1 Fun aside, finance and code can both depend critically on small details. Does finance have the same checks (linting, compiling, tests) that can catch problems in AI-generated code? I know Snowflake takes great pains to show whether queries generating repor…

These tools are not getting used for investment advice in the sense of you might go seek out an advisor. It's used for first pass drafts of potential investments. Think deep research where the target is a company and the output is an investment thesis. There are a lot of rubbish companies out there looking for funding so any sort of automation to filter the volume of info down helps

>Does finance have the same checks

Nope. Closest is double entry system and that only prevents the most egregious stuff. It's the equivalent of you must close brackets in code...it's a constraint but the contents can still be hot garbage. For investment ideas that are literally zero guardrails, in fact quite the opposite as this demonstrates:

https://www.reddit.com/r/ChatGPT/comments/1k920cg/new_chatgp...

Re: Claude for Financial Services

#107

Post by tough »

bboygravity wrote: post #105
tough wrote: post #101

Earlier quoted context omitted.

would anyone pay for an llm that can parse 10k reports hallucination free? was exploring this idea recently maybe I should ship it

Grok 4 SuperHeavy can almost certainly do this out of the box?

I haven't tried SuperHeavy, but why would it? all transformer based LLM's are pretty prone to hallucinations even with RAG... it can be pretty good I guess

any articles to learn more about it?

Re: Claude for Financial Services

#108

Post by snthpy »

injidup wrote: post #76

As my father always told me. Anyone selling you a system to win at the casino/racetrack/stock exchange is a scammer. If the system actually worked then the system would not be for sale.

That's not quite right. For super high Sharpe ratio strategies with low capacity, sure. But for a single digit SR with high capacity your expected profit will be higher by taking a fee on a larger capital base. If you also add in asymmetric fee structures then you see why hedge funds make sense.

Re: Claude for Financial Services

#109

Post by blitzar »

laughingcurve wrote: post #98
blitzar wrote: post #82

Earlier quoted context omitted.

The 30/50/100gb of random numbers that is a trained LLM is basically worthless - if it has any value at all on day 1, that value depreciates at multiple percentage points per day. Anthropic more than OpenAi are going for the integrations, verticals and MCP - I think that is the right play. "OpenAi Inside" can replace the "Intel Inside" sticker but their marketcap needs to go 1/100x

Random numbers ?? Please stop showing your ignorance here because you have some weird bias against a technology. The utter contempt and dismissiveness of folks on this site is astounding.

How do you initialise your 50bn parameter matrices? I use random numbers.

Re: Claude for Financial Services

#110

Post by belter »

ffsm8 wrote: post #100
belter wrote: post #92

Earlier quoted context omitted.

Did you go and look at the correctness of the information? Because I have seen Claude, as recently as a week ago, completely inventing and citing whole non existent paragraphs from the documentation of some software I know well. I only because of that, I was able to notice...

All models hallucinate. The likelihood of hallucinations are however strongly influenced by the way you prompt and construct your context. But even if a human went through the documents by hand and tried to make the analysis, they're still likely to make mistakes. That's why we usually define the scientific method as making falsifiable claims, which you then try to disprove in order to make sure they're correct. And…

> hallucinations are however strongly influenced by the way you prompt and construct your context.

Show me the research supporting this argument. So far RAG and similar approaches is what limits hallucinations.

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