T-1 Psychology behind the formation of a candle - personally I feel that if one is aware of psychology behind the formation of candle than chart starts talking to you. So, here I am starting my journey of 🧵 with how actually candles form. Small but important for beginners 👇

Hammer - formed at the end of downtrend, opened sellers pushed the prices down, buyers came & pushed the prices up & close the candle above the OP. Shadow formed twice of body. Also observed at trend line & support zone. 👇
Shooting Star - formed at the end of uptrend, opened buyers pushed the price up, sellers came & pushed the price down and make candle close below the OP. Both hammer & shooting star should always be traded with the confirmation from next candle. 👇
Bullish Engulfing- formed after a downtrend. Price opened below the previous candle, buyers came and form a big green candle above the previous candle high if both candles merge can form a hammer. 👇
Bearish Engulfing- formed after a uptrend. Price opened above the previous candle, sellers came & form a big red candle below the low of previous candle. Merging of both form a shooting star. 👇
Marubozu- strongest candle, No shadow. Green Marubozu shows buying pressure and complete surrender of sellers & Red Marubozu shows selling pressure & complete one sided fight. Must initiate trade candle. 👇
Doji - with no or 5% body. A caution candle. Shows the confusion. Next candle decides the trend. Can be traded strongly if supported by next candle. I call it a resting candle where both buyers & sellers rest and decide further trend. 👇
Falling 3 pattern - my favourite pattern to be traded. Clearly shows the failure of buyers efforts. Big red candle shows the selling pressure which was chased by buyers in three small candle but fail to revert the trend and again a big red candle formed breaking previous low. 👇
Rising 3 pattern - shows a failure of sellers effort and all vice a versa of falling 3 pattern candles. 👇
Common information but may help you to understand what make a body and shadow of some important candles and you can trade accordingly.

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Should you add more in Equity or redeem right now?

A thread 🧵to guide retail on why & what should they do at these historic market highs.

Do ‘re-tweet’ and help us educate more retail investors (1/n)

#investing #StockMarket

Some investors feel that markets are trading at a PE of 27 vs 10 years historical average of 20 and a market-cap to GDP of 105 vs historical average of 79 and hence markets look expensive (2/n)


But, in such crazy liquidity driven markets, prices can move much ahead of the fundamentals & suddenly we start hearing commentaries of how the market is pricing in the earnings of FY 22 & 23 to justify the rally

If you r new to fundamentals, 👇 can help


Results for Q4 have come out very well but that is also because of the lower base effect of the last year.

Over the last many years, markets have corrected 10-15% each calendar year. Can it happen this year as well? Can very much and that can be a great entry point. Why? (4/n)


There are a lot of over hangs in the near term,
-Crude going up
-$ index moving up
-Inflation moving up
-COVID uncertainties
All of the above are –ve for markets & liquidity on the other side driving markets up, its impossible to judge the near term movement of the markets (5/n)
This is so useful. Thank you @heartwon 🙏

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.