𝐉𝐔𝐁𝐋𝐈𝐍𝐆𝐑𝐄𝐀𝐕 (𝐃)

Price respecting 21EMA and bouncing back from it 🧐

@PAlearner @Puretechnicals9 @AnandableAnand
@ArjunB9591 @harrie007 @Jitendra_stock @MaverickAmit01

Ever wonder how traders get in stocks before they explode? 🧐

Or find options that move 1,000% in a single day/week?🤯

I made a thread going over exactly how I find these stocks BEFORE they take off 🚀
👇👇👇

So, let's start with the software I use…

Finviz!! Finviz is a free website that I use to scan for stocks.

They have a lot of other cool features as well, but I only use their scanner.
👇

Head on over to finviz and go to the screener

Click on the “All” tab on the top and put in the criteria in the next tweet
👇

This is the first scan that I use for bullish swing setups
✅Quarter +10%
✅Week Down
✅Vol over 400k
✅Optionable
✅Price > $20
👇

The next scan I use is the opposite of the first one.

Simply change:
✅Quarter +10% to -10%
✅Week Down to Week up

This is my bearish scan for swing setups. 👇

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

Have you ever wondered why the sons and daughters of the colonial chiefs and guards who were collaborators live a good life while those of the MAU MAU fighters live in abject poverty?

***THREAD***

It should be known that the colonialists reached a point that they knew they had 2 leave Kenya since they couldn't handle the Mau Mau war & the world was moving toward accepting independent Africa.However,the colonialists devised an evil scheme that still eats Kenya upto this day

Under this scheme, the colonial state came up with a plan that saw the first crop of chiefly “big men” being empowered financially to take their children to schools and eventually have those children go to England for further studies...

...and eventually providing a ready-made socio-economic & political class whom state power could be entrusted in the post-colonial era.This explains why their children & grandchildren still hold majority of important positions in govt or in the private sector supported by state.

This also explains why children and grandchildren of these homeguards are always given preferential treatment when it comes to government appointments. Wewe na masomo yako you are always asking why you can never get a job in government...yet you're qualified..now you know.