AtZOj4bKeT

Learning: Strong breakout

1. Breakout candle will have no upper shadow or extremely less compared to the body
2. Volumes will be high (to avoid retailers to enter & also big hand absorbing all the selling)
3. Pullbacks will be rare/very less
4. Happens after a long consolidation pic.twitter.com/YTHDOnEdxo
— The_Chartist \U0001f4c8 (@nison_steve) July 2, 2021

More from The_Chartist 📈

Steve Nison
@nison_steve

SAIL - I am not holding it as of now. Chart for learning purposes. I always have a bullish bias for a stock in a particular sector that is performing so well.

A typical example of stock taking a pause in between during its upwards journey.

Steve Nison
@nison_steve

CDSL - Learning.... ✅✅

I believe 5-10 stocks are enough for a retail investor to achieve super performance. And with small capital, there is no point in buying 20/30 names which doesn't even get appropriate initial capital.

Stock: CDSL

CMP - 516.95. Low risk setup. Weak below 500. Target open. Stock retesting the ascending triangle BO line. Kindly check please. @nishkumar1977 @Rishikesh_ADX @VijayThk @kuttrapali @Thekalal @PAVLeader pic.twitter.com/PlcpOMsdnz
— Steve Nison (@nison_steve) December 16, 2020

Steve Nison
@nison_steve

Laurus Labs - Double top buy will be activated above closing of 690. Target still active: 895 (1%*3 box size and reversal)

✅✅ https://t.co/MtJOLfpzYj

Laurus Labs - I am waiting till 3:15 PM to get confirmation of closing above 700 to add more of it in my portfolio. \u2705\u2705 pic.twitter.com/UxZCuxhuIX
— Steve Nison (@nison_steve) August 9, 2021

$The_Chartist \U0001f4c8$

The_Chartist 📈...
@charts_zone

Varun Beverages - so far a stronger name holding up above all key MA.

$The_Chartist \U0001f4c8$

The_Chartist 📈...
@charts_zone

These high-volume selloff candles right before any -ve news always intrigue me. the same thing happened with Infosys before the whistleblower complaint was out & the stock gapped down. TV 18 & VTL were other examples.

Fresh case - RUPA https://t.co/nqq5nI1wLU

Respect your stop losses in the stocks that have gone down today with heavy volumes even on a strong day.

VTL pic.twitter.com/3pJ9XngCDL
— The_Chartist \U0001f4c8 (@charts_zone) March 17, 2022

More from Screeners

Mitesh Patel
@Mitesh_Engr

There is a supertrend indicator in zerodha. For swing go with 60 min chart. Check with different numbers in period and multiplier section.
Check success rate of buy and sell signal generated by system. Apply number according to decide buy and sell for swing trade.

Few paid service provider are using only this signal to give clients buy and sell trade.
Do with your own. Don’t pay them.

Learner Vivek Bajaj
@vivbajaj

#PowerofRS
Entry or Exit
All Sorted

Vibhor Varshney
@nakulvibhor

Now you can have a look of my all screeners at one place

No need to run all screeners separately

Save this link

All screeners complied and visible under one roof

Download Stocks in list in excel too

Keep learning
Keep

Sanket Shakyavanshi
@sanketrs11

@Prakashplutus Gold price is inversely related to the bond yields.

Higher the bond yield lesser the #Gold
#US02Y

$Tar \u26a1$

Tar ⚡
@itsTarH

Semi conductor index is often considered a leading indicator of health of the economy

Micron: 'we see upcoming significant sequential declines in revenue & margins'

Nvidia: 'Will slow down hiring & control expenses as the company deals with a challenging macro environment'

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.

Manas Arora
@iManasArora

My course is now available for FREE on youtube.

Channel link: https://t.co/BJqESqFVko

Robin Berjon
@robinberjon

Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.