A small multi time frame system to identify stronger stocks based on RSI/SuperTrend/EMA
@Definedge
Conditions:
a) RSI > 55 < 70 in daily
b) RSI > 60 in weekly/monthly
c) Candle close above SuperTrend(10,3)
d) Candle close above 200EMA in daily and 34EMA in weekly/monthly
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I have published these scanners in TradePoint Web of @Definedge. These scanners can also be developed in TradePoint Desktop.
1) Run these scanners on Multi Time Frame Scanners
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Save the qualified candidates (score above 2) to a group for doing further analysis.
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Run FusionMatrix on this group to check stronger candidates, Sort on RS-Ranking score and select top candidates. Look for long entries based on your favorite systems.
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One example #TATAELXSI on daily charts
RS chart bullish ABC pattern and in Price chart probable bear trap and bullish ABC
(bullish divergence between price and RS charts also)
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Another way of doing further study is to run Heikin-Ashi bullish reversal scanner on the short-listed candidates. This scanner is also published in TradePoint.
I ran this scanner and the result as follows:
Example of #ONGC

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A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices

https://t.co/qyl4Bt1i5x


PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices

https://t.co/w7oNG5KUkJ


The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.

The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.