More from Aneesh Philomina Antony
3147 to 3270
minor resustnce breakout now https://t.co/mcLJB7yEhO
#piind— ProdigalTrader (@ProdigalTrader) August 24, 2021
price at the bottom of a bullish channel with RSI showing clue son potetntial reversal here. Volume is dried up in pullback showing lack of supply#StockMarket #StocksInFocus #stocktrading #stockselection #stocktowatch pic.twitter.com/jpDOpnCzFu
Price will always go back and forth move no matter how strong the trend is.
So an objecctive way of defining the trend as bullish or bearish will help u to stay out of counter trend trades which usually not only hit SL, but slippages tend to be quite high in case of those trades. If u dont believe that, u can either check ur journal .
In the pic, an example was shown with objectively defining the price trend based on momenum. If price is bullish then either take long entry while price pulls back on 20 SMA or when it makes a new breakout, its very very safe method.
Even one can use simple MACD for defining the trend. Indicator doesnt have any magic, be it custom made or default one. Trick is in identifying the bias when its quite clear and obvious and not to trade till then.
https://t.co/3eAoEqM7QQ up trending market look for pin bar with good volume
2.Rsi divergence and macd histogram divergence both at the same time on 3 min chart
https://t.co/qrAH9PZ6D3 = Low (15min)
4.ORB with 15 min candle stick along with support and resistance of previous 5 days
5.Pullbacks in Strong momentum (wide range candles + Volume) stocks
6.ORB with volatility contraction and then wide range candle breakout with volume expansion
7.Fakeout like spring and Upthrust for entry pullback with low volume
8.CPR analysis with standard pivots
9.PDH/PDL breakout with volume, vwap and RSI confirmation
10.Horizontal support/resistance from HTF and confirmation of acceptance or rejection in lower timeframe as reversal candlestick patterns with volume confirmation
https://t.co/75kykbExlg writing data and Put Writing data in correlation with price action
12.Pivots (Fibonacci) and Price action with volume activity
13.Ichimoku set ups with previous day NR4/NR7 scrips with pivots and volume as trading tools
https://t.co/JcwqOZS5L4 and rejections on 100/200 ema
15.EMA20 and rsi divergence with daily trend structure
More from Stockslearnings
This setup is a gift to anyone who trades long ideas and those who want to trade in CASH due to Capital Constraint. Fits best for people who don't do FNO as this picks some amazing scripts.
1⃣ Before heading on to the set-up we want to make sure the entire system credit goes to @Singh7575 . We are just here to share it and make people aware of such simple set-ups that can give money considering risk is
2⃣How to Set it Up?
This setup best fits in @tradingview /@zerodhaonline or any broker that provides charting. We only need 2 Indicators.
Indicator 1- 13EMA
Indicator 2 - 34EMA
Both indicators are compulsory and should be exponential(EMA) instead of Simple moving average.(SMA)
3⃣ How to use this Setup?
Whenever this Setup meets a condition where 13EMA crosses 34EMA from below as depicted in the chart. Whenever the 13EMA crosses 34EMA from below it is a LONG (BUY) SIGNAL.
❗️Timeframe needs to be Daily Only!
4⃣ When to Place Order?
The Condition is to place order above the Day's High when crossover happened. Place buying bid above Previous Day’s high. If on current day the stock
doesn’t cross previous day’s high, place a buying bid the next day above current day’s high. For E.g.
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Every now and then an idea sticks with me like that corner of tortilla chip that just won't go down your throat. It happened with SPARROWHAWK, which began as 40k of a YA story, died, and was reborn as a comic, thanks to @christopher_j_r and @boomstudios. And now... 2/
It's happening with THE WILLOWS, a short story that you'll see in @UncannyMagazine next year. This Southern Gothic horror story began as an attempt to sell my next Romance to @AbZurdity after the Blud books in 2014 or so. And she didn't buy it. Guess why? 3/
Turns out, it wasn't a Romance! It was Southern Gothic Horror. Even the bones of it screamed strangeness, not sexiness. I loved the taste of the world, but I hadn't found the right story yet. Tried to write it 2 more times and failed. Until I finally understood what it was. 4/
So I took the 50 pages I'd written and cut half of them, twisting the story around from a gothy Romance inspired by the band the Civil Wars and turned it into a spooky descent into madness. And it looked back at me from the abyss as if to say, DUH. Sometimes... 5/
IRCTC 100% Market share in Rail Network.
IEX >90% market share in power trading.
Zydus wellness >90% market share in sugar free product.
Eicher motors >85% market share in 250cc bikes category.
MCX >85% market share in commodity trading.
Coal India >80% market share in coal production in India.
ITC >75% market share in cigarettes.
Honda Siel >75% in portable power generators.
Hindustan Zinc >75% market share in primary zinc industry.
Asahi India Glass >70% market share in automotive glass.
NRB Bearings >70% market share in needle roller bearings.
Pidilite >65% market share in adhesives.
CAMS >65% market share in RTA within mutual fund industry.
Time Technoplast >65% market share in polymer based industrial packaging.
Concor >65% market share in domestic container cargo transport.
Exide >60% market share in lead batteries.
Naukri >60% market share in the Indian job market space.
Praj >60% market share in ethanol plant installing.
Indiamart Intermesh >55% market share in the online B2B Classified space.
Borosil Renewables >55% market share in Lab glass.
Vst Tillers >50% market share in
Delta corp >50% in online poker games.
Vinati Organics >50% market share in IBB.
The community’s response? Outrage.
Amazon is a billion-dollar company. The idea that it will receive hundreds of millions of dollars in tax breaks at a time when our subway is crumbling and our communities need MORE investment, not less, is extremely concerning to residents here.
When we talk about bringing jobs to the community, we need to dig deep:
- Has the company promised to hire in the existing community?
- What’s the quality of jobs + how many are promised? Are these jobs low-wage or high wage? Are there benefits? Can people collectively bargain?
Displacement is not community development. Investing in luxury condos is not the same thing as investing in people and families.
Shuffling working class people out of a community does not improve their quality of life.
We need to focus on good healthcare, living wages, affordable rent. Corporations that offer none of those things should be met w/ skepticism.
It’s possible to establish economic partnerships w/ real opportunities for working families, instead of a race-to-the-bottom competition.
“Why do people care about stablecoins then?”
A mix of “they encourage dollar-denominated liquidity in the cryptocurrency ecosystem and discourage withdrawal of the same” and “they’re good for money laundering.”
“But they make value transfer between exchanges much faster!”
This was a solved problem in traditional finance, too, mostly through the extension of credit. (It doesn’t matter how long settlement takes if there is sufficient trust to enable credit.)
The Bitcoin ecosystem is *positively allergic* to credit, so you have to call it a coin for them to accept it. And after you call it a coin they ignore everything the world has learned about credit, like risk management.
“Stablecoins aren’t credit!”
They’re pretty much exactly credit? A tether is a zero-coupon Bitfinex bond with a non-functioning call option. I
>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇♂️ https://t.co/9YOSrl8TdN
For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.
This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method https://t.co/Hx8XTUMpJ5
Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.
Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN
So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?