#ITC -293
Daily chart. #MACD About to turn negative.
Due to overlapping structure.
If not immediately new high.
If this happens then lower Fibonacci retracement level 0.236%(258)
0.382% (234) likely to be tested.
Which is also trendline breakout.

View valid till it not cross 311

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.

1. The major problem most startups face is marketing and the ability to carve out a niche, find and retain paying customers.

Even with a stellar developer team and a stellar product, your startup may not grow or survive without a great marketing and sales teams.

2. Start growing your audience before you’ve a product or an idea.

You should start promoting yourself and building your audience before you have a finished product or even before you have a great idea that you want to build.

3. Don’t wait to start building your audience after you’ve launched a product.

Most first-time developers actually ignore marketing.

They’re oblivious to the challenge of attracting people to take a look at something they’ve created.

4. At least until they see their first project crash and burn within hours of the launch.

There are so many times that I have seen developers spend countless hours building something, releasing it with no fanfare...

5. and only then trying to figure out how to promote it by asking marketing questions on Indie Hackers, Quora or Hacker News. Don’t make that mistake.

Cherthala Karthyayani Kshetram
#Alappuzha, Kerala
#KeralaTemples 🚩

Cherthala Karthyayani Temple Prathishta was done by Vilwamangalam Swamy. Chertala Pooram is very famous. Devi is Mangalya Dayini here removes obstacles relating to marriages. Sthala Puranam says that, once 👇

Vilwamangalam Swamiyar was passing this area after Prathista of Padmananbhaswamy Temple, he felt Devi chaitanyam and recognized as Karthyayani Devi. But Devi seeing Vilwamangalam went inside the pond. Swamy searched for Devi continously for 6 days and on 7th day Vilwamangalam

got hold of Devi's hair. Thus only Devi's head is Prathishta here. Devotees do Kozhi parathal ( offering cock) here as an offering to Karthyayani Devi.

Karthyayaniamme Sharanam
🙏🕉🙏

Here is Editor-in-Chief of the @EpochTimes, @JasperFakkert's response to the slanted hit piece that @Buzzfeed's @HayesBrown put up 2 days ago:

Brown's article at Buzzfeed starts off pretending it's some kind of really off-the-wall notion that Hillary Clinton paid for the creation of the Steele Dossier that was then used to justify the FBI's spying on the Trump campaign & transition team.

After that awful start, he swerves to making accusations that the Epoch Times is connected to the 'cult' Falon Gong.

You can read the article here:

Brown insinuates with no real evidence whatsoever that the Epoch Times is 'Falon Gong-linked'.

The 'evidence' he supplies in his article to 'prove' @EpochTimes is 'Falon Gong-linked is this:

1) the Epoch Times' extensive *news coverage* of China's attempts to wipe out Falon Gong with intense persecution directed at the group since 1999.

2) a reporter *shouting a question in 2006* at then-President George W. Bush about China's persecution of Falon Gong members.

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.