Smaller, new tokens are explicitly manipulated and the lack of shorting leads to exponential price moves.
1/ Some things *I think* I’ve learned messing around in crypto for the last 12 months.
Smaller, new tokens are explicitly manipulated and the lack of shorting leads to exponential price moves.
More liquidity plus shorting pressure invites greater efficiency, which is the killer of exponential moves.
Unless you have good reason to believe you’re early, assume you’re late.
(And, therefore, the exit liquidity.)
For stuff I expect to go exponential, I find selling in line with logarithmic moves a useful framework.
There’s a ton of leverage in crypto and cross-CEX / DEX margin management is non-trivial.
Keep your eyes on open interest and funding rates to understand liquidation risk.
The markets tend to move in seasons.
L1 season. Altcoin season. NFT season.
You succeed by either front-running the next season or ignoring them entirely.
There’s no need to get cute during a sentiment frenzy.
(But don’t let yourself get caught up either.)
If the “vampire attack” fails to attract sticky liquidity, the protocol does too.
But it’s probably safe to assume most farming rewards are going to zero.
If one of the legs has a risk of going to zero, your whole bag can go to zero.
(Uniswap v3 model complicates this)
This is usually true where APRs are the highest (“duh”). Again, position sizing is key. (Or buy insurance.)
And if you’re going to interact with a potentially shady contract, use a hot wallet.
If you're trading, understand that markets can move against you violently when you're sleeping.
It can be information overload.
Finding trusted curators can be key to separating signal from noise.
Understand who owns the token you're buying and when their lockup period ends.
More from All
You May Also Like
Trading view scanner process -
1 - open trading view in your browser and select stock scanner in left corner down side .
2 - touch the percentage% gain change ( and u can see higest gainer of today)
3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )
4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.
5. U can also select those stocks which are going to give range breakout or already given range BO
6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist
7 . Now next day if any stock show momentum u can take trade in it with RM
This looks very easy & simple but,
U will amazed to see it's result if you follow proper risk management.
I did 4x my capital by trading in only momentum stocks.
I will keep sharing such learning thread 🧵 for you 🙏💞🙏
Keep learning / keep sharing 🙏
@AdityaTodmal
1 - open trading view in your browser and select stock scanner in left corner down side .
2 - touch the percentage% gain change ( and u can see higest gainer of today)
Making thread \U0001f9f5 on trading view scanner by which you can select intraday and btst stocks .
— Vikrant (@Trading0secrets) October 22, 2021
In just few hours (Without any watchlist)
Some manual efforts u have to put on it.
Soon going to share the process with u whenever it will be ready .
"How's the josh?"guys \U0001f57a\U0001f3b7\U0001f483
3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )
4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.
5. U can also select those stocks which are going to give range breakout or already given range BO
6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist
7 . Now next day if any stock show momentum u can take trade in it with RM
This looks very easy & simple but,
U will amazed to see it's result if you follow proper risk management.
I did 4x my capital by trading in only momentum stocks.
I will keep sharing such learning thread 🧵 for you 🙏💞🙏
Keep learning / keep sharing 🙏
@AdityaTodmal
