NQ Stats

NQ Stats was created to catalog various metrics centered around $NQ. It is a collection of many years of testing for various analytical edges. To give back to the trading community, these concepts and ideas are shared for free. NQ Stats was created by @ProbableChris

Highly recommend it to anyone who is “close” to make it! Helped me to make the step!

The NQ Stats website has added a "Coaching" tab. This is where you can inquire about coaching related to personal process improvement or specific NQ Stats content via deep dives. Learn more at nqstats.com/coaching.html

Hey Cleazzy. First, Hours Stats is not a trading framework/model, its just a stat. Provides a % probability derived from historical data. There is a million ways to trade that data. Second, to answer your question, holding past the mean reversion point is where Max Adverse Excursion (MFE) would come into play. Between your entry and reverting back to the hours open, how far does price keep going before it comes back to your stop loss? This data will provide mean and median values. This lets you know how far you "could potentially" hold on average.

@NQStats I've been backtesting and understanding the model and knowing when it works best, but I have trouble holding past the mean reversion. Any advice?

When trading Hourly Stats you're essentially trading a Turtle Soup. That is also the reason why the sweeps that happen between 0-20 minutes of a new hourly candle are so successful for price returning back to the open. This also means that we want to see price return to the open very quickly after a sweep. Otherwise it might not be a TS after all... And data (NQ 10 years M1) shows this as well. As a rule of thumb, if you are in a trade you might want to consider going BE or bail out if price did not reach the open yet after 10-15 minutes after the sweep. @NQStats

@spaman15 81.1%

@NQStats Under the ALN section , is the pattern 2 probability to break London highs 81 or 87 %?

NQ Stats currently focuses on the 6 modules listed below, providing a primary focus and a specific context for each. Coming Soon --> Frameworks around price distribution and multi-module confluences.

youtu.be/pxs2MuqvH3w New vid for the new site on "Price Distributions". "Price Distributions" is a statistical framework I use to tell what regime we are in, what my bias should be (trend vs mean reversion), and when to time my entries. It uses percent net change from open to close of various time windows to calculate samples and derive data from said sample.

@CantoIndicators Be sure to add it to the consolidated thread of public indicators, which you can find a few posts down on my feed.

just dropped this: @NQStats hour stats coded as a free open source tradingview indicator so anyone can use it directly on their charts 🔗 tradingview.com/script/BzZnUf1… boost so it reaches more people, more NQ Stats concepts dropping soon

@mikebarcap @isthattyler7 Appreciate it

@isthattyler7 He is one of many that should pay homage to @NQStats

Not sure why I even got blocked? It's not like Herman's version is paid or anything. Mine is just my take on the idea, which I also credited where credit was due

@80tickalpha And heres how that morning played out.

@NQStats Pattern 4 context at 8am is exactly the kind of statistical edge most traders ignore. They're watching news, but the session behavior is already baked into the data. London high holding + NY open below it is a high-prob setup when the overnight lean confirms. Good framework.

Going into 8am ET, NQ is in a Pattern 4. What does this mean, see pictures attached, or learn more at nqstats.com/aln_sessions.h…

@averagejoe_1919 @0xAkariFX @masked_stat @notprofgreen #InBefore

@0xAkariFX @masked_stat @NQStats @notprofgreen This is the real answer. Stats guy is just trying to reinvent the wheel when NQ stats and professor have already done all of this.

"What if" you could predict the direction of the entire New York session using just the 8AM hourly candle? this was a ~400pt NQ move called before it even started 🧵

@toxiewoxiee well done!

Aaaaand that's a wrap. Thanks again @NQStats for keeping me sane

Trying a noon curve. Please don't F me

@PatternProfits Thanks for the plug!

There's solid data behind everything I do, but I'm just a trader. Others are much smarter when it comes to crunching the numbers. For that, I'm thankful. The 20min MH golden window is not something I made up. It comes from this study shared by @NQStats. nqstats.com/hour_stats.html

@jay555b @MrZincx @edgeful Cheaper than that! NT cme data is $4/mo and can be exported to csv.

@MrZincx @edgeful no you don't. 1 minute historical OHLCV data is like 15-20$ and chatgpt free plan. Give data to codex and ask the exact statistics you want to know and you have stats for lifetime instead of paying 239$ per month.

You need Edgeful Data. I would not be doing 30k a month without the data @edgeful provides. I will happily discuss this on stream if you question how this data has changed my trading completely. Everyday for the past nine months I have used these same eight reports. I don't stress on positions, I let the statistics doing the talking.

@CBU_capital Only NQ, sorry.

@NQStats Do you happen to do any stats for ES? @NQStats

@Jeremy85508566 This is @ProbableChris btw lol, I am a one man show.

@NQStats I don't know why I stick around, but it's funny. You and cris have some of the most actionable info and most won't notice. It's still nice to see

At the top of each page there is a concept description/overview, and throughout each pages sections there is additional context that describes what is being presented. Are you stating that this is not sufficient? I previously had videos on the old site, which I will be recreating for the new site as well. Will just take some time.

@NQStats To be honest, I like the layout of the older version for each of the stat report. I think the explanations have gone (unless I'm missing something?) I think that's very important for newbies! Perhaps you could leave the old explanations there as an introduction.

NQ Stats website has received a redesign, with additional metrics and data around the existing stats/concepts. Check it out at nqstats.com and leave some feedback in the comments!