For people curious about the Roam API and confused by the syntax, or interested in why Conor went with Datomic/Datascript and not a traditional database, this older talk by Roam developer @mark_bastian is a great overview.

He gives great examples using Spiderman of how even modeling something fairly trivial in SQL is much more complex than in Datomic. But the real kicker is when you're trying to interrogate the data to find recursive relationships.
Right now the Roam data model (at least that's exposed to developers) is just about pages, blocks, and children with tags. Already you can see how finding the page containing a block with a certain tag etc is useful.https://t.co/jWJnuKu1RG
But imagine when attribute relationships are fully represented

You should be able to model the entire Spiderman story in Roam.
Page title: Peter Parker
Child of:: [[Richard Parker]] [[Mary Parker]]
Aliases:: [[Spidey]]

etc, and do these kind of queries.
"Show me quotes about operational efficiency in books by authors who used to be in the military"
"Show me companies in Boise, Idaho, founded by women, whose evaluation is lower than 10X ARR"
Of course, this data can also be used as input to timelines, graphs, etc:

"Show me a graph of my sleep quality versus days in which I ate foods that had gluten in them or not" (where [[bread]] has a page with ingredients::).
One thing I'm curious about is how the Datalog system differs from Wikidata and SparQL, the modeling seems to be kind of similar - you have triplets of entities, like :Oslo :is-a-capital-if :Norway (where all three entities have an id), and you can do graph queries.
So you can ask "Largest city with female mayors", but you can also visualize data in all kinds of ways, like dimensions of elements, children of Genghis Khan, or lighthouses in Norway https://t.co/XvxmEVO9vB
What would it look like to integrate Wikidata with Roam in the future, being able to easily pull in and reference data about entities (cities, authors, scientific concepts)... And build our own Wikidata through inter-Roaming... As well as citations (https://t.co/aP7RSyaGl0) ...

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Trading view scanner process -

1 - open trading view in your browser and select stock scanner in left corner down side .

2 - touch the percentage% gain change ( and u can see higest gainer of today)


3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )

4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.

5. U can also select those stocks which are going to give range breakout or already given range BO

6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist

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This looks very easy & simple but,

U will amazed to see it's result if you follow proper risk management.

I did 4x my capital by trading in only momentum stocks.

I will keep sharing such learning thread 🧵 for you 🙏💞🙏

Keep learning / keep sharing 🙏
@AdityaTodmal