Fully agree.I work based on similar calculation
1. Generate some return from investing funds in liquid, nifteebees,stocks
2. Pledging it - use for option trading - even with 10 points per week can- get 28% p.a.
3. Once u do this consistently. Next step, how to improve returns.
More from yogesh nanda
All you need to know about Option Buying Setup:
Youtube channel:
https://t.co/Tn5s5tQucn
Telegram Group:
https://t.co/zcMFYLuFUU
1. Option Buying setup video [English]:
https://t.co/oCuI7ryOVS
2. Option Buying setup video [Hindi]:
https://t.co/GEtwvPipih
[1/3] @jitendrajain
3. learn Position Sizing:
https://t.co/mjGwmms21Y
4. overcome late OI signal:
https://t.co/rULPzfNpId
5. Gamma impact
https://t.co/6r9wKx3ewC
6. Risk Management
7. 4 part video on optimisation of various aspect:
a https://t.co/G7FDAm9VEg
b https://t.co/KjkzlbDBeR
c https://t.co/Vcn5icNO9P
d https://t.co/SsggfnwPNZ
8. examples
a https://t.co/S9OB41tNxx
b https://t.co/xZeKvZq3Uo
c https://t.co/mgQVYJu8te
d
Youtube channel:
https://t.co/Tn5s5tQucn
Telegram Group:
https://t.co/zcMFYLuFUU
1. Option Buying setup video [English]:
https://t.co/oCuI7ryOVS
2. Option Buying setup video [Hindi]:
https://t.co/GEtwvPipih
[1/3] @jitendrajain
3. learn Position Sizing:
https://t.co/mjGwmms21Y
4. overcome late OI signal:
https://t.co/rULPzfNpId
5. Gamma impact
https://t.co/6r9wKx3ewC
6. Risk Management
7. 4 part video on optimisation of various aspect:
a https://t.co/G7FDAm9VEg
b https://t.co/KjkzlbDBeR
c https://t.co/Vcn5icNO9P
d https://t.co/SsggfnwPNZ
8. examples
a https://t.co/S9OB41tNxx
b https://t.co/xZeKvZq3Uo
c https://t.co/mgQVYJu8te
d
Some Free videos available on our channel for option leaning:
Subscribe to channel:
https://t.co/pzyd1ju3i9
1. Basics of Option Greeks
https://t.co/zCgZOYfh38
2. Basics of Open Interest [futures]
https://t.co/gBEA7rouxV
3. Option buying full
4. Data Analysis in Excel
https://t.co/yhWjhdbOMG
5. Understand Gamma Risk
https://t.co/DVhOBGPM19
6. Option buying setup - strike selection
https://t.co/mgQVYJu8te
7. Yogeeswar Pal live trading
https://t.co/mtIJU5VYUl
@jitendrajain @yogeeswarpal
Subscribe to channel:
https://t.co/pzyd1ju3i9
1. Basics of Option Greeks
https://t.co/zCgZOYfh38
2. Basics of Open Interest [futures]
https://t.co/gBEA7rouxV
3. Option buying full
4. Data Analysis in Excel
https://t.co/yhWjhdbOMG
5. Understand Gamma Risk
https://t.co/DVhOBGPM19
6. Option buying setup - strike selection
https://t.co/mgQVYJu8te
7. Yogeeswar Pal live trading
https://t.co/mtIJU5VYUl
@jitendrajain @yogeeswarpal
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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.
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.