We still haven't got any signal of negation in the private banks' index & if the bearish H&S top has to be negated, the index has to move past 19950. Till then, it will be considered a minor pullback

Nifty Private Bank https://t.co/BwG1DKhhLc

A lot of bootstrappers think they have a marketing problem:

"I need to get better at marketing."

But, it's more likely that you have a product problem:

"Do customers really want this? Do they care enough about this to switch to a new solution?"

☝️ this is why most of my book, @marketingdevs, is about:

1. Choosing the right market
2. Building something they want

"If your product is remarkable, getting noticed is a lot easier." – @peldi

I was reminded of this concept again this morning while reading @pjrvs' book (Company of One):

"Sales increase when you honestly evaluate what someone needs and then teach them the value of what you're selling."

To succeed, your product has to offer an outcome that is highly desirable to a large group of customers.

The number of sales your product receives is a multiple of these two variables:

1. How big is the target market?
2. How desirable is the outcome you're offering them?

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.

So, on the subject of bonkers hyperbolic pretzeling over the Bell judgement, Grace 'destroy books I don't like & make inappropriate jokes about sterilising teenage girls' Lavery has some thoughts.

Tell me why my feminism is wrong Grace.

Oh

Well, if anyone thought the Bell judgment was going to make TRAs reconsider making massively overblown claims with no evidence backed up with nothing but a thick wadge of emotional blackmail.... HAHAHA, no one thought that.

A high court in the UK made a delimited judgment about teenager's ability to consent to puberty blockers. This puts all trans people everywhere in the world at risk.

Because if any human anywhere has any thoughts that deviate in any way from the rote line dictated by

the trans rights movement, this puts all trans people everywhere in mortal danger.

Let's be honest Grace. It doesn't put trans people at risk. It puts trans ideology at risk. Because trans ideology depends on the idea of innate gender identity, and the trans child is the

necessary material evidence of the ontology of gender identity.

That is, children are being medicalised to provide evidence to underwrite adults identities.

Nothing to see here.

Here is the detailed information of about strategy,

Entry time : 9.30 - 10
Exit : Upto you

Strategy :
Sell weekly ATM CE & PE at almost equal price
For ex : Sell Nifty 17250 CE at 50 and Nifty 17250 PE at 48 so it will become short straddle

Buy monthly ATM or near ATM CE & PE at matching price (5-10 points diff should be fine) as hedge
For ex : Buy Nifty 17250 CE at 150 and Nifty 17300 PE at 155 so it will become long straddle.

Weekly Short straddle + Monthly Long straddle

Adjustment:

• If you feel slightly bullish/bearish then no adjustment needed
• If Nifty moves 50 up or down and sustain then just simply roll up or down half of qnty and keep rest of the quantity. If market goes up or down further then roll up or down rest.

• If Nifty moves one side or about to breach BEP then add equal amount of lot. This can balance tested side. For ex: If I bought 17300 CE 4 lot as hedge then add 4 lot so you will have only one side risk . Note: Remember to keep SL at cost price (only for additional lot bought)

Capital requirement:
2.2 L for 4 lot
Adjustment requires additional capital upto 1L

Note : High risk high reward strategy, please don’t execute until you fully understand. Kindly do paper trading or backtest.
RR : 1:1
POP : 45-55%