An 8 Step Checklist Before Entering Any Trade:

A thread(🧡)... (1/18)

1. If the market is in a trading range or trending: Traders must know that if this happens, there's a higher probability of right #trades. Always remember, the trend is your best friend (2/18)
#Traders must also ask if the prices are in a strong trend and if they want to continue to move along with this trend. (3/18)
At times, Traders also choose to trade within a range. The #stocks keep on bouncing between the #Support and #Resistance. Using indicators like #RSI, CCI or Stochastics help here! (4/18)
2. Are there support/resistance levels nearby: Stocks tend to respect these levels and traders must identify both the support & the resistance.
A trader should not enter a #long position, for example, when the resistance is nearby. (5/18)
3. Do the Indicators confirm the Price Action: Every #trader must have 2-3 Indicators that complement their trading strategy and confirms the price action. (6/18)
However, the Indicators must be of different groups. For example, #momentum Indicators like RSI, and #volatility Indicators like Bollinger Bands. (7/18)
4. The risk-reward ratio: This is the number of pips the traders are willing to risk to reach their target. Traders must try to have a positive risk to reward ratio for every trade (8/18)
5. Can there be a significant economic relapse: Any such relapses might impact the trade. Any #economic news like #GDP, CPI, or any such data might act as a catalyst. (9/18)
6. How much capital is being risked: One must ask how much #capital are they willing to risk on a single #trade. Being too overconfident about one single trade and investing heavy capital in it can often lead to dangerous consequences. (10/18)
StockEdge helps you check such forthcoming events: https://t.co/dyMGHwpxUC (11/18)
7. The exit strategy if things don't go as planned: There must be a #backup plan if things go South. A Stop-Loss is a must. The stop loss levels can be traced using #Fibonacci of prior candlesticks! (12/18)
8. Is the Trading Plan followed properly: Traders tend to digress from their original plan when they are greedy for more #profits. At all costs, and must tick all your boxes in their checklist. (13/18)
Read the entire blog post here: https://t.co/k6Zq9LTd6h (14/18)
To sharpen your trading skills, you can enroll in these webinars at a 20% discount using code WEB20: https://t.co/qFjCKMZC4H (15/18)
1. Learn to time the markets, whether you're a positional, swing, or an #intraday trader! Join Ashish Kyal (@kyalashish) hereπŸ‘‰πŸ» https://t.co/77iVAshXXO (16/18)
2. Explore a unique combination of Price Action and the CPR Strategy with Shalom Martin in this Hindi Webinar:πŸ‘‰ https://t.co/UGJERbVwiB (17/18)
3. Build a rewarding portfolio for the future with the Stock Ranking System with Deepak Thakran (@indian_stockss )πŸ‘‰πŸ» https://t.co/BFL708f56Y (18/18)

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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! πŸ‘‡

It's all in French, but if you're up for it you can read:
β€’ Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
β€’ Their high-level legal decision: https://t.co/hwpiEvjodt
β€’ 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 β€” 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 β€” though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
I'm going to do two history threads on Ethiopia, one on its ancient history, one on its modern story (1800 to today). πŸ‡ͺπŸ‡Ή

I'll begin with the ancient history ... and it goes way back. Because modern humans - and before that, the ancestors of humans - almost certainly originated in Ethiopia. πŸ‡ͺπŸ‡Ή (sub-thread):


The first likely historical reference to Ethiopia is ancient Egyptian records of trade expeditions to the "Land of Punt" in search of gold, ebony, ivory, incense, and wild animals, starting in c 2500 BC πŸ‡ͺπŸ‡Ή


Ethiopians themselves believe that the Queen of Sheba, who visited Israel's King Solomon in the Bible (c 950 BC), came from Ethiopia (not Yemen, as others believe). Here she is meeting Solomon in a stain-glassed window in Addis Ababa's Holy Trinity Church. πŸ‡ͺπŸ‡Ή


References to the Queen of Sheba are everywhere in Ethiopia. The national airline's frequent flier miles are even called "ShebaMiles". πŸ‡ͺπŸ‡Ή
"I really want to break into Product Management"

make products.

"If only someone would tell me how I can get a startup to notice me."

Make Products.

"I guess it's impossible and I'll never break into the industry."

MAKE PRODUCTS.

Courtesy of @edbrisson's wonderful thread on breaking into comics –
https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.


There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.

You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.

But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.

And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.

They find their own way.