ok didn't really come up with a singular thread topic so I'm just gonna stitch together some of the q&a from people and shit in a rambling, disjointed mess of a post below, enjoy (or don't, idgaf)
obviously we already have ethbtc pairings, but you can do stuff like SOL/ETH, or SUSHI/UNI
can even chart the pairs in tradingview by separating the two tickers with a backslash
gets even more fun when you have a good reason for doing so...
Satsdart did a nice thread on identifying strength, but you can also use it to identify weakness
long the strong one, short the weak one. This'll give you a (usually) lower-volatility position that's not as correlated to the overall market's direction
also some other applications (eg, index vs a component) but I'm sure you can figure them out
Pair trades do require more margin since it's technically 2 positions, but especially in crypto, it's easy to find strong trends between pairs to take advantage of
already answered this one (check responses), but I figured some people might be interested
marketmaking is conceptually simple: try to buy a couple ticks lower than you sell by using limit orders placed v close to market, and do a shit ton of volume to make the profit worthwhile
whoops forgot link lmfao
anyways, conceptually simple but managing the risk is hard and so is competing for volume
my method is a little different than most of my competition I think, and still v inefficient
it's not actually completely worthless, some people make good choices based off of it, but I'd rather compare individual assets to each other than try and inefficiently lump 'em all together to compare against btc
instead of depositing all 10k on exchanges, you deposit 2k and put the other 8k to work farming stablecoins and generating a return.
leverage allows you to still trade at your full size
use it to mitigate risk and increase capital efficiency, not to borrow money
all that to say, what the question was originally asking, poorly phrased: when to size up and go heavier into your positions?
answer is "whenever you have less risk per dollar of exposure than normal"
couple different forms of that
eg, if you're the FIRST guy to hear about the SEC suing XRP (or whatever it was), you have less implied risk to short XRP than you normally would
your odds of success are just so much higher because you KNOW:
A) it'll drop
B) you're first to act
so you can size up there, you're getting less risk per dollar on the position.
another eg: you bought 1 BTC at 30k and expect further uptrend, you've moved your stop up to 35k
You've secured profit, which means your risk is now down to just your UPnL, +5k
so your risk is limited to a positive result, you can size up to increase your risk again, and therefore potential reward
pyramid-ing into trends like this has the potential to win huge, but can also turn a winning trade that fails to continue into a wash
so be selective
specifically for fundamental swings (as opposed to exploiting a pattern), I'm trying to figure out what people are going to believe about an asset in the future
also takes a lot of time and effort, but it's much more homogenized across trades
biggest thing here is getting your data set, for a discretionary trader you'll need a trade log and ideally a journal for market observations even when not trading
find patterns in-sample
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Need to explain crypto/defi terms to your grandma?
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1/n... oh God there's gonna be so many
Smart contract:
Think of it as a computer program that does one specific thing, and it's always running, just waiting for you to send some basic instructions.
dApp:
One or more smart contracts bundled together in the same place. They can be more complex than a single smart contract, but they usually have a user interface to help you send the right instructions to each smart contract
but assuming worst-case scenario (US chases down devs for building non-compliant products), we go anon, deploy on IPFS, use mixers and build more privacy tech.
thread about farming aka liquidity mining as an incentive model and why it's completely broken but nobody seems to realize it (skip to #17 if you're already intimately familiar w AMMs)
v long and nerdy, fair warning
1/n
2/n
farming was designed as an incentive for users to provide a service: using their own capital to provide liquidity to an AMM pool
AMMs were created to solve the problem of high latency/settlement times for transactions on ethereum.
3/n
while a ~15s transaction time doesn't seem v long, if you attempt to make a market on a 15s delay, you'd be forced to keep your spreads incredibly wide in order not to offer prices that become bad before you can update them, especially during volatile periods