✨Here are my top 20 best tweets of the week: 23rd Oct ✨

🧵on

• Uses of RSI
• Rakesh Jhunjhunwala
• Volume Analysis
• Cash Investing Strategy
• How should new entrants learn quickly?
• How to use Nifty to beat its own returns?
• Compilations of many threads

🧵Superb Thread on RSI

1. Uses of RSI.
2. Investment strategy based on RSI.

(@YMehta_)

https://t.co/rVkok0hkt3
🧵How did Rakesh Jhunjhunwala make his money from trading? Covered very well.

(@ArjunB9591)

https://t.co/ydhObBvCb6
🧵Amazing thread on various indicators.

(@Prashantshah267)

This is not a thread from the current week but @ArjunB9591 brought this to my notice so I shared it.

https://t.co/9tZCSFMksc
🧵on Volume Analysis.

(@Trading0secrets)

https://t.co/GMOWORLAim
🧵Monthly Learning Calendar for Investing.

If you can spare 1 hour per day for learning about investing, you can copy this calendar to up your knowledge.

(@RamBhupatiraju)

https://t.co/aRknRhAMfg
Multiplied his own money by only cash investing.

Sharing his strategy in the next tweet.

(@Trading0secrets)

https://t.co/gRXVErKMUs
🧵Cash Strategy by which you can multiply your money.

(@Trading0secrets)

https://t.co/X0y4U7V1TY
🧵Compilation of tweets made by @niki_poojary. Can learn from these threads a lot, all of them are practical and not theoretical.

(@niki_poojary)

https://t.co/nNLfVUOyz9
🧵Amazing thread covered by @SahilBloom, Apple journey teaches us:

1. To play long-term games with long-term people.
2. Taking a punch.

(@SahilBloom)

https://t.co/3UOJ6fPYGK
🧵Recommended pathway for new entrants in the stock market, my favorite thread of Sir's account.

(@DillikiBiili)

https://t.co/DCO9SczbKQ
Stocks that have corrected 10-20% with a strong MOAT. We need more of these tweets, please.

(@EnSaluja)

https://t.co/FqdgydeVxx
🧵How to use Nifty to beat its own returns? Thread on Equal Weight Indexing.

(@SahilKapoor)

https://t.co/mAQoPFn0Cr
Best account for information on IPO's. 2 upcoming IPO's between 28th October and 2nd November.

(@ipo_mantra)

https://t.co/nGNdNsnRbq
Don't fall prey to insurance companies, they are denying insurance for stupid reasons.

Insurance literacy is a serious need.

(@rajivmehta19)

https://t.co/zuNOwiEpAR
Avoid middle-class thinking & go get rich.

(@1shankarsharma)

https://t.co/GAgoPrVXNN
4 reasons for market fall.

(@Atulsingh_asan)

https://t.co/hE6dKdLUem
Don't bet more on your mistakes, sure shot way to failure.

(@ipo_mantra)

https://t.co/YB27koGiI4
Corrections are temporary, don't fear them.

(@Atulsingh_asan)

https://t.co/Wm8h33ZkCx
Help people around you, you can bring change in your surroundings. In-person helping someone has more joy and you have proof that your own money has done some good.

(@FI_InvestIndia)

https://t.co/dK3OcxWlDJ
Small investors don't have the same limitations as that of a fund manager, should use it to our benefit.

(@Atulsingh_asan)

https://t.co/B1iqm8QnHY
This week a lot of people have shared amazing tweets hence compiled 20 instead of 10, didn't want to miss out on those superb tweets.

Happy Weekend Learning to everyone! 😀🤟

More from Aditya Todmal

MASTER THREAD on Short Strangles.

Curated the best tweets from the best traders who are exceptional at managing strangles.

• Positional Strangles
• Intraday Strangles
• Position Sizing
• How to do Adjustments
• Plenty of Examples
• When to avoid
• Exit Criteria

How to sell Strangles in weekly expiry as explained by boss himself. @Mitesh_Engr

• When to sell
• How to do Adjustments
• Exit


Beautiful explanation on positional option selling by @Mitesh_Engr
Sir on how to sell low premium strangles yourself without paying anyone. This is a free mini course in


1st Live example of managing a strangle by Mitesh Sir. @Mitesh_Engr

• Sold Strangles 20% cap used
• Added 20% cap more when in profit
• Booked profitable leg and rolled up
• Kept rolling up profitable leg
• Booked loss in calls
• Sold only


2nd example by @Mitesh_Engr Sir on converting a directional trade into strangles. Option Sellers can use this for consistent profit.

• Identified a reversal and sold puts

• Puts decayed a lot

• When achieved 2% profit through puts then sold
12 TRADING SETUPS which experts are using.

These setups I found from the following 4 accounts:

1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili

Share for the benefit of everyone.

Here are the setups from @Pathik_Trader Sir first.

1. Open Drive (Intraday Setup explained)


Bactesting results of Open Drive


2. Two Price Action setups to get good long side trade for intraday.

1. PDC Acts as Support
2. PDH Acts as


Example of PDC/PDH Setup given
DJ SIR THREAD

Great video with points helpful for beginners.

Made 4 threads on DJ Sir with the help of @niki_poojary

1. Selecting strikes to trade in with risk management.
2. How he took some aggressive trades.
3. Multiple charts analysis for intraday trading.
4. Trade Setup


Attaching all threads made on DJ Sir. After watching the video you can refer to this tweet for notes about his strategy and learn a few other ideas.

Compiling these together for easy access to his knowledge.

1. Selecting strikes and risk


2. Going aggressive with help of data and


3. Intraday

More from Screeners

You May Also Like

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.