This is what ultimately separates the good from the great.
A Guide to Position Sizing
--- Thread π§΅ ---
This is what ultimately separates the good from the great.
It will make a huge difference on your account if you have a 100% gain in a name with 20%+ of your equity.
1οΈβ£ Position Size Based on Risk
2οΈβ£ Position Size Based on Number of Edges
Before you take a position in a stock, you must know how much you are willing to lose on a trade.
We recommend never risking more than 1% of your overall account equity on any single trade, especially if you are in the consistency phase.
βͺοΈ Buy Point: $100
βͺοΈ Stop Loss: $99
βͺοΈ Total Risk: 1%
If your max risk per position is 1% of your overall equity, this setup would allow you to take a 100% equity position and still be within your rules if the trade goes against you.
βͺοΈ Buy Point: $50.50
βͺοΈ Stop Loss: $49.00
βͺοΈ Total Risk: 3%
If your max risk per position is 1% of your overall equity, this setup would allow you to take a 33% equity position and still be within your rules if the trade goes against you.
To position size based on # edges, you must have a great grasp as to what your edges are in the market.
πΈStrongest edges = biggest size
πΈWeakest edges = lowest size
βͺοΈ Highest Volume Ever: Up to 25% of equity
βͺοΈ Volatility Contraction Pattern (VCP): Up to 20% of equity
βͺοΈ IPO Base Breakout: Up to 15% of equity
You must still trade with a risk first mindset though, knowing where you will exit the trade and how much of your account you are risking if the trade goes against you.
βͺοΈ Conviction drives Position Sizing
βͺοΈ $STUDY of your edges is the only way to build conviction
βͺοΈ Whatever style you choose, you must do it consistently
You can find that here π
https://t.co/hcAKEG8WX1
If you want more similar content, please follow us
@TraderLion_
Let us know how you position size in the comments below π½
More from TraderLion π¦
More from Traderlion
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! π
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.
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.