New: warm up Reddit accounts. You own them.
Rankhog
Subreddit guides

r/quant rules, stats, and what to post

A source-backed Rankhog guide to r/quant: public rules, community context, posting fit, and startup-promotion risk before you publish.

By Anthony Riera, founder and operator of Rankhog.

Subreddit guides combine public Reddit source URLs, captured rules, visible verification dates, and Rankhog's account-safety workflow.

Current public stats

Members
206,485
Verified
September 27, 2026
Category
Quantitative finance professionals

Rules can change, so Rankhog keeps verification dates and the original public Reddit sources visible.

Rule summary

  • Off-topic posts: Posts must be *on-topic*, i.e. they must be relevant to the quantitative finance industry, or professional quantitative analysts. Strategies or concepts must be applicable to the industry, rather than retail (see r/algotrading). Please note that technical analysis like indicators and charting is not quantitative analysis.
  • Education & Career Advice: r/quant is not a career advice subreddit for students or non-quants. Please review our [FAQ](https://www.reddit.com/r/quant/wiki/faq) before posting questions relating to education or career advice. Student & graduate career advice is restricted to our weekly megathread. Any questions about interviews, online assignments, the hiring process, what the job is like ETC. must be posted in that thread or they will be removed from the subreddit, and bans will be issued at moderator discretion.
  • Spam/self-promotion: Self-promotion is allowed on the sub to an extent if it is relevant to institutional quants. Repeated promotion, even for a free resource, is discouraged. Meaningful content contribution which may passively advertize (e.g. an educational blog post) is welcome, but advertizing must not be the sole purpose of the post. If your account is brand new and the first thing you do on r/quant is create a post to advertise something you have built then the post will be removed and you will be banned.
  • Repetitive Content: Content that is repetitive of recent threads or themes (or already covered by the FAQ in our wiki) will be removed at the moderators' discretion.
  • Civility: Please be civil to other users. Do not abuse anyone or engage in flame wars.
  • Job Advertisements: Job ads on the sub are permitted for paid positions only, and users must be verified on LinkedIn by a moderator.
  • No Market Research/Feedback Requests: We do not allow market research/feedback requests for new products and ventures. Mods will exercise some discretion for projects that entirely open source or free.
  • No AI Content: Content that has clearly been generated by AI will be removed with prejudice. If you think the users of r/quant should take the time to read your content, then you can take the time to write and structure it so it doesn't look like AI content.

Works well

  • An educational blog post you wrote yourself that teaches a quantitative finance concept and only passively mentions your work
  • A technical write-up relevant to institutional quants, such as something about data, modeling, or industry practice
  • A substantive contribution to a discussion that professionals here are already having, with no promotion attached
  • A career or interview question placed inside the weekly megathread

Avoid

  • Posting AI-generated content, which the mods say will be removed with prejudice
  • Launching your product with a feedback or market research request, which is banned outright
  • Advertising from a brand new account whose first act on the sub is promoting something you built
  • Posting career, interview, or education questions outside the weekly megathread, which earns removals and bans
  • Posting retail trading strategies or technical analysis like indicators and charting, which is not on-topic here
  • Promoting the same thing repeatedly, even for free, because repeated promotion is discouraged even when allowed once

What r/quant Is For

This is a subreddit for quantitative analysts, which means people who work in quantitative finance professionally. The rules say posts must be relevant to the quantitative finance industry or to professional quantitative analysts, and that strategies or concepts must be applicable to the industry rather than to retail trading. The community points retail traders toward r/algotrading instead. It is also explicit that technical analysis, like indicators and charting, is not quantitative analysis. So the room is filled with professionals who think in terms of models, data, and institutional practice, not chart watchers or hobbyist traders.

Rules That Matter Before Posting

The “Spam/self-promotion” rule decides whether any marketing-adjacent post survives. It allows self-promotion to an extent if it is relevant to institutional quants, discourages repeated promotion even for free resources, welcomes meaningful content contribution that may passively advertise, and removes and bans brand new accounts whose first act here is advertising something they built. The “No Market Research/Feedback Requests” rule bans market research and feedback requests for new products and ventures, with some discretion for projects that are entirely open source or free. The “No AI Content” rule removes content that has clearly been generated by AI, with prejudice. The “Off-topic posts” rule requires everything to be relevant to the quantitative finance industry or professional quantitative analysts, and says technical analysis like indicators and charting is not quantitative analysis. The “Education & Career Advice” rule restricts student and graduate career advice to the weekly megathread, and says interview, hiring, and job questions posted elsewhere will be removed with bans issued at moderator discretion. The “Repetitive Content” rule removes content repetitive of recent threads or themes or already covered by the wiki FAQ. The “Job Advertisements” rule permits job ads only for paid positions and only from users verified on LinkedIn by a moderator. The “Civility” rule asks you not to abuse anyone or engage in flame wars.

What To Post

A good post here is a meaningful content contribution that may passively advertise, which is exactly what the “Spam/self-promotion” rule welcomes. Write something yourself, in your own words, that a professional quant would find genuinely useful, and let any mention of your product sit quietly in the background or not appear at all. Read the wiki FAQ first, because anything it already covers gets removed as repetitive. Make sure your topic is relevant to institutional quantitative finance, not retail trading and not technical analysis. If your product is relevant to institutional quants and your post teaches something real, that fits the letter of the promotion rule. If you want to ask for feedback on a new venture, know that the “No Market Research/Feedback Requests” rule blocks it, with some discretion only for projects that are entirely open source or free. Keep any career or education questions out of the main feed and put them in the weekly megathread.

What To Avoid

Do not post AI-generated content, because it will be removed with prejudice. Do not ask for market research or feedback on a new product or venture, because that is banned outright unless the mods exercise discretion for projects that are entirely open source or free. Do not advertise from a brand new account, and do not make advertising the sole purpose of a post, because both get removed and the new account case earns a ban. Do not post career, interview, or education questions outside the weekly megathread, because they get removed and bans are issued at moderator discretion. Do not post retail trading strategies or technical analysis, because that is off-topic here. Do not repeat content that recent threads or the wiki FAQ already covered. Do not post unpaid job ads, and do not post any job ad without LinkedIn verification by a moderator. Do not be uncivil to anyone.

Use Rankhog before posting in r/quant

Want the version that does not run out? Subscribers get unlimited tool runs and more careful checks before posting.

Get my free Reddit SEO audit

Start your 3-day free trial. Card required. $99/month after trial. Next, connect a verified Reddit account; no strategy starts until you explicitly start Rankhog.

Common questions about r/quant

Can I promote my product here?

Only if it is relevant to institutional quants, is not the sole purpose of the post, and comes from an established account, per the “Spam/self-promotion” rule.

Can I ask for feedback on my new product?

No. The “No Market Research/Feedback Requests” rule bans these, with some discretion only for projects that are entirely open source or free.

Can I use AI to draft my post?

No. The “No AI Content” rule removes AI-generated posts with prejudice, so write everything yourself.

Can I post a job ad?

Yes, but only for paid positions, and you must be verified on LinkedIn by a moderator first.

Where do career and interview questions go?

Only in the weekly megathread. Anywhere else they get removed and bans are issued at moderator discretion.