Candlesticks are always to be combined with the overall price action. Bearish candles right at the resistance zones provide excellent shorting opportunities with the controlled risk.

Pidilite

🧵EMA + VWAP STRATEGY

Every trader has a go-to strategy that works best for them. My trading is all about keeping it simple stupid and revolves around two indicators - Exponential moving averages and vwap.

Here's the strategy that I utilize on nearly 80% of my trades.

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What are Exponential Moving Averages?

EMA's are a type of moving average that places a greater weight on more recent data points.

8EMA = Exponential Moving Averages of the last 8 candle closing prices.

EMA's adjust with respect to chart time frame.

What is VWAP?

Volume Weighted Average Price - A key intraday indicator in my trading that offers the true average price based on price & volume.

Calculation: (Price x # of shares traded) / total shares traded

EMA's I use

- 8
- 21
- 50

While I do utilize the 50EMA, the 8 & 21 EMA are most important for this strategy. Some people use the 9 and 20 which are essentially the same thing. REMEMBER: EMA'S adjust with respect to time frames.

A+ Set Up Criteria - (What I look for)

AHOBILAM NARASIMHA SWAMY KSHETRAM: KURNOOL (AP)
#andhratemples

Ahobilam is the place where Prabhu appears in his fierce form, called Ugra Narasimha, who is Svayambhu (self-manifest).
Ahobilam is one of the 108 Divya Desams. It has 9 shrines for different forms of Narsimha.

Ahobilam was the exact place where Sri Narasimha appeared and tore apart Hiranyakashipu to save Prahlad. At that moment, all the Devas appeared and praised him as Ahobala (Aho is mighty and bala is strength). So the place came to be called Ahobilam.

Out of the 9 shrines, most famous is the Ahobila Narasimha Swamy where Prabhu is seen as Ugra Narasimha.
In another shrine, Prabhu appears as Malola Narasimha Swamy. Malola means beloved of Lakshmi. Here Prabhu is in peaceful mudra with his consort Ma ChenchuLakshmi.

Jwala Narasimha Swamy shrine is the actual spot where the fierce anger of Prabhu reached its culmination when he tore Hiranyakasipu.

Ugra Stambham is the pillar from which Narasimha appeared with such force that the entire hill split into two.

1. I was walking in the woods yesterday and I had an epiphany. It wasn’t one I wanted to have. I was thinking about today’s class, where we are reading Kimmerer’s ‘Gathering Moss’. I’ve taught Braiding Sweetgrass in multiple classes every year since 2016. It’s eminently teachable

2. Both books are beautifully written. Students uniformly enjoy them as assigned reading. They do a great job communicating to non-Indigenous folks the contours of basic Indigenous relationships to more-than-human beings. They’re wildly popular with white readers.

3. I’ve found Braiding Sweetgrass to be a great entry point for non-Indigenous folks to Indigenous scholarship. But this is where yesterday’s epiphany comes in. Neither Braiding Sweetgrass or Gathering Moss tends to the deep deep lineages of Indigenous scholarship in Canada or US

4. As the popularity of ‘Braiding Sweetgrass’ has soared, I’ve seen more and more white folks wax on about ‘braiding knowledge’. But they often don’t know any of the lineages of these concepts beyond what is presented in this one book. They confidently run with this.

5. Kimmerer does a commendable job of weaving in her own experiences, her family stories+nods to some very important knowledge keepers who deserve to be celebrated for their work. But Braiding Sweetgrass does not tend to the citational politics Sara Ahmed & others teach us about

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.

So I was talking to @gewt about Job: A Comedy of Justice and I came up with a theory that I think explains why Heinlein's late-period work is so kinda-terrible and why I still enjoy it so much

So Heinlein had always been very interesting in the short parts of his novels, like the little snippets inside chapters. He had a very fun writing style, and wrote some fun dialogue with fun characters, right?>
It probably comes from how much of his early stuff was short fiction

And I think what happened with a lot of his longer works is that he'd just start writing fun bits and hope it would end up going somewhere or having a bigger plot by the end. like eventually he'd figure out where this was going, then go back and rewrite it into a cohesive whole

and I'm sure he had editors that'd help this process. No editor would let you publish something as rambly and changing-gears-every-other-chapter as The Number Of The Beast, for example... unless you were God-King Of Science Fiction 1980s Robert Heinlein.

so basically I think what happened is that by the 80s (when he was in his seventies!!) he lost the drive to go back and rewrite and he was too Untouchable for editors to make him.