All three major South Korean presidential candidates support #Bitcoin ETFs and institutional investment. Lee Jun-seok, in particular, says the country should hold Bitcoin as a strategic asset.
Dark stablecoins are likely to emerge in the future.
#Bitcoin was created by the cypherpunk community to be censorship-resistant and belongs to no one, making it impossible to control.
Stablecoins, however, act as a bridge between the internet and the real world, so they need someone to manage them. Companies like Tether and Circle have done this so far by holding cash reserves in banks. Governments, except when tackling money laundering, haven’t really interfered with stablecoins, which made them useful for various groups, like Chinese miners, as a safe place to store assets.
But that’s changing. Soon, any stablecoin issued by a country could face strict govt regulation, similar to traditional banks. Transfers might automatically trigger tax collection through smart contracts, and wallets could be frozen or require paperwork based on govt rules. People who used stablecoins for big international transfers might start looking for censorship-resistant dark stablecoins instead.
There are two ways dark stablecoins could be created:
1. Algorithmic stablecoins that aren’t controlled by governments. 2. Stablecoins issued by countries that don’t censor financial transactions.
One possible example could be a decentralized stablecoin that follows the price of regulated coins like USDC using data oracles like Chainlink. I haven’t seen a project like this yet, but if you know of one, let me know.
USDT itself used to be considered a censorship-resistant stablecoin. If Tether chooses not to comply with U.S. govt regulations under a future Trump administration, it could become a dark stablecoin in an increasingly censored internet economy.
I'm not sure if there are still long-term crypto investors out there, but I think dark stablecoin-related assets could have investment potential in the Internet capital markets. DYOR.
@Strategy is buying BTC faster than it's mined. Their 555K BTC is illiquid with no plans to sell. MSTR's holdings alone mean a -2.23% annual deflation rate—likely higher with other stable institutional holders.
@Strategy is buying BTC faster than it's mined. Their 555K BTC is illiquid with no plans to sell. MSTR's holdings alone mean a -2.23% annual deflation rate—likely higher with other stable institutional holders.
Two months ago, I said the bull cycle was over, but I was wrong. #Bitcoin selling pressure is easing, and massive inflows are coming through ETFs.
In the past, the Bitcoin market was pretty simple. The main players were old whales, miners, and new retail investors, basically passing the bag to each other. When retail liquidity dried up and old whales started cashing out, it was relatively easy to predict the cycle peak. It was like a game of Musical Chairs—everyone tried to cash out at once, and those who didn’t ended up stuck with their holdings.
But now, the Bitcoin market has become much more diverse. ETFs, MicroStrategy (MSTR), institutional investors, and even govt agencies are considering buying and selling Bitcoin. In the past, profit-taking cycles were triggered when whales cashed out at the peak, leading to a chain reaction of sell-offs and a price drop.
However, It feels like it’s time to throw out that cycle theory. New liquidity sources and volume are becoming more uncertain, signaling a transition as the Bitcoin market merges with TradFi. Now, instead of worrying about old whales selling, it’s more important to focus on how much new liquidity is coming from institutions and ETFs since this new influx can outweigh even strong whale sell-offs.
Honestly, I still think the market is sluggish while absorbing new liquidity. Most indicators are hanging around the borderline. It doesn’t feel like a clear bullish or bearish market right now. Of course, the recent price action is extremely bullish, but I’m talking about the profit-taking cycle.
Just because I was wrong doesn’t mean on-chain data is useless. On-chain analysts can have different opinions, and back then, many analysts, including @mignoletkr, disagreed with me. Data is just data, and perspectives vary.
I apologize for the incorrect prediction. I will strive to provide higher-quality analyses in the future. Thank you.
Two months ago, I said the bull cycle was over, but I was wrong. #Bitcoin selling pressure is easing, and massive inflows are coming through ETFs.
In the past, the Bitcoin market was pretty simple. The main players were old whales, miners, and new retail investors, basically passing the bag to each other. When retail liquidity dried up and old whales started cashing out, it was relatively easy to predict the cycle peak. It was like a game of Musical Chairs—everyone tried to cash out at once, and those who didn’t ended up stuck with their holdings.
But now, the Bitcoin market has become much more diverse. ETFs, MicroStrategy (MSTR), institutional investors, and even govt agencies are considering buying and selling Bitcoin. In the past, profit-taking cycles were triggered when whales cashed out at the peak, leading to a chain reaction of sell-offs and a price drop.
However, It feels like it’s time to throw out that cycle theory. New liquidity sources and volume are becoming more uncertain, signaling a transition as the Bitcoin market merges with TradFi. Now, instead of worrying about old whales selling, it’s more important to focus on how much new liquidity is coming from institutions and ETFs since this new influx can outweigh even strong whale sell-offs.
Honestly, I still think the market is sluggish while absorbing new liquidity. Most indicators are hanging around the borderline. It doesn’t feel like a clear bullish or bearish market right now. Of course, the recent price action is extremely bullish, but I’m talking about the profit-taking cycle.
Just because I was wrong itdoesn’t mean on-chain data is useless. On-chain analysts can have different opinions, and back then, many analysts, including @mignoletkr, disagreed with me. Data is just data, and perspectives vary.
I apologize for the incorrect prediction. I will strive to provide higher-quality analyses in the future. Thank you.