5 POWERFUL HAND MUDRAS YOU SHOULD BE USING:

Ever notice how the top niches are centered around health, wealth, and relationships?

There's a deep-rooted psychological (and biological) reason why.

And today, I'm gonna to explain all of it so you can start profiting off of this knowledge 💰💰

*Now, this thread is going to be long and in depth. Make sure to favorite the top tweet now so you can come back to it later.

So. Down to the very core of every living being (humans, dolphins, bacteria, aliens), there are only two drivers:
1. To survive
2. To reproduce

Right off the bat, we know that sex is a primary driver to human behavior.

This would also mean that each gender has its own insecurities regarding sex.

Men have a subconscious fear that their woman will leave them for someone more successful

Women have a fear that their man will leave them for someone younger & better-looking

We can conclude that men are attracted to looks, and women are attracted to status.

This is human nature down to its very core.

Crazy, blue-haired feminists will try to argue and say otherwise.

But, 50 years of feminism DOES NOT OVERRIDE millions of years of evolutionary biology.

Here's a quick visualization exercise so you can see how true all this is...

Rio de Janeiro, 1920. 🇧🇷

São Paulo, 1910. 🇧🇷

“Arpoador”, Rio de Janeiro, 1900. 🇧🇷

“Avenida Paulista”, São Paulo, 1902. 🇧🇷

Recife, 1885. 🇧🇷

(1/3)

I am using only one indicator in the chart.
i.e DC(20) = Donchain Channel
I use 3 min chart and the DC period is 20, so DC high is basically the last 1 hour high & DC low is the last 1 hour low.
The middle line is the median of high and low.

(2/3)

Donchian channels are mainly used to identify the breakout of nifty/BNF.
We can take directional bias based on the indicator.
If nifty is breaking DC high, can take bullish view.
if it is breaking DC down, can take bearish view.
if it is in between, can trade range-bound.

(3/3)

We can monitor nifty/banknifty futures with volume along with DC.
If the volume is 1.5 to 2 times the average volume and if DC high/low is taken out then it can be a strong bullish/bearish signal.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.