RawQuant
A portfolio run by a machine learning model, published every trading day 15 minutes before the close. Every signal timestamped and kept, losses included.
A portfolio run by a machine learning model, published every trading day 15 minutes before the close. Every signal timestamped and kept, losses included.
This page is designed to help you find out whether RawQuant is good and if it is the right choice for you.
RawQuant publishes the portfolio of a machine learning model every US trading day at about 3:45 PM New York time, 15 minutes before the market closes. The model picks from the S&P 500: three new picks a day, each held 12 trading days, 36 positions in all. In trading terms, every pick is a swing trade with a fixed exit.
You follow it in your own brokerage account, at any broker. RawQuant never connects to your account and never places a trade.
The whole record is public, month by month since 2018, losses included. Results through 2025 are a backtest. The rules were locked before 2026, so 2026 is the live test.
Pricing: $19 for the first month, then $49 a month, cancel anytime. A free account shows the full record, with each day's stock names revealed 12 trading days later.
Information only, not personal investment advice. Past results do not guarantee future returns.
Listed in
Daily signals
Published every US trading day about 15 minutes before the close
Picks
Three new S&P 500 stocks a day, each held 12 trading days
Three new S&P 500 stocks a day, each held 12 trading days
Share counts sized to the amount you choose
Any broker
You place the trades yourself; RawQuant never connects to your account
Public record
Month by month since 2018, losses included
Every signal is published before the outcome is known and kept on a public record, losses included. The portfolio comes out every trading day about 15 minutes before the close, so you can act on it the same day. The rules were locked before 2026, so the 2026 record is a live test nothing was tuned to pass.
RawQuant started as a model built for our own trading. It is now published so anyone can follow the same portfolio, at the same time, in their own account.
Self-directed stock investors and swing traders who already have a brokerage account and want a systematic, rules-based portfolio without building one themselves. Following it takes a few minutes a day near the close.
Most AI stock tools give you scores or ideas that you still have to turn into trades yourself. RawQuant gives you one finished portfolio: three new picks a day, each with a fixed 12 trading day exit, sized into share counts for your amount. And the whole record is public, month by month since 2018, so you can judge it before paying.
We have collected here some useful links to help you find out if RawQuant is good.
Check the traffic stats of RawQuant on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of RawQuant on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of RawQuant's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of RawQuant on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about RawQuant on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is RawQuant good? This is an informative page that will help you find out. Moreover, you can review and discuss RawQuant here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
