You might be using chart patterns incorrectly if you've not seen this.

Data says 81% of people trade these patterns incorrectly, and you might be one of them.

Read now or regret later:: A complete guide on Top 5 chart patterns in this thread 🧵:

Thread on
"Intraday Banknifty Strangle based on OI data"

(System already shared, today just share few examples)
(1/n)

-Trade timing after 9:45

-Check Banknifty change in OI data at 9:45, and identify the highest OI built up in call side and put side

-We will sell both strikes with combined premium as SL on both legs.
(2/n)

28th June 2021

BN open-35440
At 9:45 trading at 35350
Highest OI in call side at 35500 CE and 35000 at put side
Strike selection 35500 CE- 35000 PE
(3/n)

29th June 2021

BN open-35323

At 9:45 trading at 35112

Highest OI in call side at 35300 CE and 35000 at put side

Strike selection 35300 CE (232) - 35000 PE (150) Combined premium 382 , Both legs SL 382
(4/n)

30th June 2021

BN open-35030

At 9:45 trading at 35002

Highest OI in call side at 35000 CE and 35000 at put side

Strike selection 35000 CE(176)- 35000 PE(213) Combined premium 389 , Both legs SL 389
(5/n)

THREAD: The following tweets are for the purposes of stories that will appear in Sunday Times Daily. The videos and images depicted may be upsetting but are deemed to be in the public interest. This is the story of the Ayanda "Borhey" Mtila as far as we were able to verify it.

On 13 October Mtila as defacto overlord of the Boko Harram gang, allegedly carried out his penultimate cash-in-transit robbery. Sources say he sustained a head wound in a shootout with security guards. Some friends believe he was killed by a fellow

He died two days later, on 15 October, after allegedly being in a coma for more than a day. His funeral was a spectacle, held on Nyanga Sports fields on 24 October and attended by hundreds of people. Sources say it was made possible by Paarl businessman Lukhanyo "Spur" Mangena.

Read through a forum thread on Chastity Mansion to see who is talking about the Edge-o-Matic and figure out what more to address regarding frequent questions, as well as scout out user feedback. Here's some thoughts you can carry back to the forums!

My website doesn't have any product reviews, but people scatter them everywhere else in forums, tweets, xtube vids, etc.

If you ARE a previous customer, and you like the thing, can you drop a review on my site to help others?

The price is steep, but that's the amount of coins I calculated to make these. I have several spreadsheets calculating every expense involved with this project.

The current cost sustains production and development of new tech, and is helping create jobs. We are 2 people now!!

It IS 3D printed, because injection molding is orders of magnitude more expensive for the initial tooling, and I am still making small revisions to the enclosures.

Injection molded plastics are a six thousand dollar commitment for fifteen cent parts. Great for mass mfg.

Also, if you didn't know, 3D printing technology allows for some shapes which would be difficult, expensive, or impossible on injection molding or milled parts!!

Undercuts, which I use in this design, require special lifters to mold that cost a tremendous fortune.

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.