I made an exit strategy so you don't have too! So my main take away from the last bull run is you go into the bull market not knowing what is going on and you will assume you will figure out the top and sell perfectly. This does not happen even and you will get burnt. I did and i'm sure that many of you will have had similar experiences. There are so many ways to exit the market, here is just one idea I had that makes sense to me. Please change this as you see fit to taylor your portfolio. Step 1, Making a duplicate portfolio tracker: On coingecko/ coinmarketcap make a new portfolio. This will be important for this strategy. Once you start selling (this point will be discussed), you will not mark the sales on this duplicate portfolio. Only on your main one. This is so we can accurately track the % we should be selling. Step 2, when to start selling: This is not an exact science, however for the purpose of this I have chosen one month after the previous break of ATH. Feel free to change this however the rest of the data below will use this. Step 3: Estimating the length of the bull run: Below I will show the length of the last 3 bull runs from the point where they break the ATH. 2013, the break of ATH to top is 272 days. This was a very volatile bull markets however we don't expect this due to the size the market has grown too. 2017, the shortest of the three at 230 days. 2021, the longest bull run lasting 348 days. So here we have 3 bull markets to work with. Obviously we have to assume that something will change majorly for the next rally, however we use what we have to give ourselves the best chances. Average of the 3 = (348 + 230 + 272) / 3 = 283 days. Minus one month which we wait before we start to sell will equal 262. That is what we will be working with. Step 4, the strategy: First of all I will be working on the assumption that you are trying to sell 100% of the portfolio. 100% / 262 = 0.38%. This is what percent needs to be sold per day to achieve 100% sold using our time estimate. Now, you should not sell everyday 0.38%. Once you wait the month after the previous ATH breaks, you start counting percent, each day accumulating. E.G. day 1 = 0.38, day 2 = 0.76 etc. You let this build until a green green day which you sell. Could be worth waiting for the largest moves (+10-20%). Once you sell this amount, the count resets to 0. So why did we create the second portfolio? Because if you are selling the ratio in your portfolio would change. For example, if you hold 1 BTC and sell 50%, then the next day you sell 50% again, you would have 0.25 BTC. Not sold 100%. However, if you keep one portfolio not touching it when you sell, you can put in say what is 5% in dollars and the next day 5% again, and you would have sold 10%. Otherwise the maths will get extremely complicated. Once you get toward the end, you might have to sell on some red days. Don't be afraid! This is very important if you want to take full profits, so in the last say 100 days be less picky about you sell days. We always speak about DCAing in so use this strategy if you would like to DCA out :). NFA and Always DYOR!

Crypto security gets much harder once the amount becomes life changing. Keeping $500 safe and keeping $5M safe are completely different problems. A CEX adds counterparty risk. Self-custody removes that, but now one bad signature, one compromised device or one mistake can become your problem. Multisig reduces some risks and adds complexity somewhere else. So here’s the question: If you had an amount of crypto you absolutely could not afford to lose and had to hold it untouched for 5 years, how would you store it? CEX? Hardware wallet? Multisig? Split across several places? I’m actually curious what setup people trust the most, and why.

Vaults are becoming the default capital allocation layer as DeFi credit markets grow more complex. With institutional interest rising, the next challenge is defining what makes a vault truly noncustodial. Here’s what’s actually at stake. — — — ► Vaults Are Becoming Financial Infrastructure DeFi credit markets are becoming more expressive, with price, maturity and liquidity creating thousands of possible lending markets. That makes manual capital allocation increasingly impractical. Vaults abstract this complexity by allocating capital across multiple markets through predefined rules. Morpho Midnight is pushing this model further. — — — ► The Problem Is No Longer Whether Vaults Work “Vault” now covers very different systems, with differences in: • custody and permissions • allocation authority • manager discretion • depositor protection • redemption mechanisms @PaulFrambot argues vaults should be classified by how they actually function, not by the label attached to them. @HesterPeirce’s framework places vaults on a spectrum from programmatic allocation to human discretion. — — — ► Morpho’s Definition of a Noncustodial Vault @Morpho keeps curators constrained by code while giving users an exit before risk increases. Four safeguards: • Timelocks delay riskier changes • Role-based permissions limit curator actions • In-kind redemptions return underlying positions • Immutable contracts lock in protections The curator still allocates capital, but within code-enforced limits. — — — ► Discretionary Vaults Trade Control for Flexibility Discretionary vaults give managers more freedom over capital allocation, enabling market making, leverage and cross-chain strategies. The tradeoff is greater reliance on manager judgment and risk management. Paul’s point is not to remove them, but to classify them differently from code-constrained vaults. — — — ► Custody vs Investment Discretion The real question is not only whether users can withdraw. It is who controls the investment decisions. Vault: User funds protected → Curator chooses markets → Curator selects collateral → Curator allocates liquidity → Curator chooses strategies Peirce’s framework runs from immutable, programmatic allocation to human discretion. That distinction can shape how regulators interpret the vault. — — — ► Vault Safety Features Have Tradeoffs Sun highlights tradeoffs in Morpho V2’s safeguards: • Timelocks → more time to exit, but trust in the curator remains. • In-kind redemptions → more flexibility, but can create adverse selection. • Onchain accounting → more transparency, but adds attack and bank-run risks. • Immutability → limits arbitrary changes, but makes critical bugs harder to fix. No single mechanism fully solves vault risk. — — — ► RWA + Private Credit Expose the Limits of the Framework RWA vaults can have low manager discretion while assets remain with an offchain custodian, making legal structure part of the protection. • Licensed issuance • Segregated custody • Enforceable claims Private credit adds another layer: • Who underwrites the asset? • Who controls cashflows? • Who bears liquidity risk? • Who provides legal recourse? Here, limited liquidity is not necessarily a flaw. Maturity can be part of the asset. — — — Vaults are becoming the interface between capital and increasingly complex onchain credit markets. The next challenge is making allocation, custody, liquidity and legal risk legible to institutions and regulators. The real unlock is not more vaults, but clearer standards for how onchain credit operates.

Nasdaq is still making progress on the surface, but the market underneath it has changed quite a bit since mid-August. On August 13, Nasdaq was at 26,803 and MarketPulse was around 70%. Today Nasdaq is higher at 27,244. MarketPulse is down to 37%. So the index has moved up while participation has moved sharply the other way. You can see the same thing across sectors. Back in mid-August, 9 of the 11 major sectors were positive on a one-month basis. Today it’s just two: technology and communication services. The daily picture is even narrower. On August 13, 7 of 11 sectors finished higher. Technology, real estate, communication services and financials were all contributing. On September 23, energy was the only sector that closed positive. And even inside technology, which has been the strongest sector over the past month, only 35.8% of stocks advanced yesterday. That doesn’t mean the index has to roll over. Markets can stay narrow for a while, especially when a small group of very large companies carries enough weight to keep the headline index firm. But I think the burden of proof has changed. Another Nasdaq high by itself wouldn’t tell me much here. What I’d rather see is breadth start to recover with it. If participation broadens again while the index holds these levels, the move starts to look healthier. If the index keeps grinding higher while fewer stocks and sectors are doing the work, then the market becomes more dependent on a handful of leaders continuing to deliver. That’s the part I’m watching. A lot of the weakness is already visible below the surface. It just hasn’t fully shown up in the index yet because the losses are spread across a much wider group of names while a few large winners are still doing enough to hold the whole thing together. We’ve seen both outcomes from setups like this. Sometimes breadth catches up. Sometimes the index eventually catches down. So from here, I care less about whether Nasdaq prints another high and more about whether the market underneath it can start participating again. And if you’re mostly in crypto, I still think this matters. Crypto trades inside the same broader risk environment. A U.S. equity market rising with healthy participation is very different from one being held together by a narrow group of leaders. That difference tells you a lot more about the quality of risk appetite than the index level alone.

September is almost done, and bitcoin:native is still sitting below its 20-month moving average, now around $87.3K. That makes the monthly close pretty important here. A finish back above it would make the longer-term recovery structure look a lot cleaner. If we stay below, that confirmation is still missing. Even if BTC trades above $87.3K before month-end, I wouldn’t read too much into the first move. I’d rather see it reclaim the area and actually hold it. I brought this up earlier in September. Now we’re getting close to the part that matters.

Altcoin breadth is finally starting to improve. More coins are outperforming Bitcoin, participation is spreading, and the market is beginning to look less dependent on a tiny group of winners. That’s encouraging. But I don’t think the important question is whether breadth can expand during a strong BTC rebound. We’ve seen that before. Bitcoin can recover hard from a deep drawdown while still sitting well below its previous high, altcoins can wake up with it, and for a while the whole market starts to look open again. The problem in several similar periods over the last 5–6 years wasn’t the initial recovery. It was keeping that participation alive once Bitcoin stopped doing all the work. That’s the test from here. If BTC takes a breather and the number of altcoins outperforming it stays elevated, the window has a chance to keep widening. If breadth collapses as soon as Bitcoin loses momentum, then this was probably a strong relief move rather than a real change in market structure. There are two things I’d especially want to see while BTC consolidates: The number of altcoins beating Bitcoin should remain high. And if you remove the strongest leaders, the rest of the market shouldn’t immediately fall back into negative territory. If both of those hold while Bitcoin cools off, then I’d become much more interested in the idea that this is turning into something broader. The first move tells you participation is returning. What happens during the pause tells you whether it can survive.

RWA tokenization has reached $34.18B, growing 85.2% YTD across major asset classes. Yet tokenized assets represent just 0.01% of traditional markets, leaving activation as the next frontier. Here’s what the shift from tokenization to activation actually means. — — — ➤ RWA growth is accelerating, but adoption remains tiny RWA growth is accelerating, but adoption remains microscopic relative to traditional markets. • $34.18B tokenized RWA AUM, +85.2% YTD • $18.29B in bonds & money-market funds • $4.43B in tokenized equities, +390.4% YTD • Just 0.01% of traditional markets tokenized More assets are moving onchain, but the bigger shift is making those assets productive inside DeFi. That’s where Capital Activation Rate matters. — — — ➤ PAR measures tokenization penetration Programmable Asset Ratio (PAR) = tokenized asset value / underlying market value. • Overall PAR: 0.01% • Tokenized equities: $4.43B • Global equities: $151.9T • Equity PAR: 0.0029% • Equity tokenization: +390.4% YTD Equities can grow 390% while representing just 0.0029% of the underlying market. High growth ≠ high penetration. Tokenization remains extremely early. — — — ➤ Tokenization creates supply. Activation creates utility. CAR measures how much tokenized RWA capital is actually deployed across lending, liquidity, and collateral markets. • Overall CAR: ~12% • Private credit CAR: 49.67% • Equity CAR: 1.95% → 7.54% YTD The gap matters assets are not merely moving onchain; they are starting to become productive within DeFi. — — — ➤ Tokenized equities are becoming productive inside DeFi 93.5% of deployed tokenized-equity value flows into just two use cases: • 65.4% → Liquidity pools • 28.1% → Lending Trade → Provide liquidity → Borrow The early RWA use case is not a new financial primitive. DeFi is turning tokenized ownership into productive financial assets. — — — ➤ PAR measures distribution. CAR measures financial utility. PAR → How much value has moved onchain? CAR → How much of that value is actually being used? Low PAR + Low CAR → Tokenized, mostly idle Low PAR + High CAR → Small market, highly productive High PAR + Low CAR → Large inventory, weak utility High PAR + High CAR → Full financial integration The real RWA opportunity sits where tokenized assets become active components of the onchain financial system. — — — The next RWA phase is not simply about putting more assets onchain, but making existing tokens productive. As PAR expands distribution, rising CAR will determine whether tokenized assets become meaningful DeFi infrastructure. The key shift is from tokenized ownership to active financial utility across liquidity, lending, and collateral.

how do you stay safe when your entire net worth is just sitting on a block explorer for anyone to see? @waleswoosh told us about a friend who built a six figure portfolio from almost nothing. then a scam wiped out most of it. everyone in crypto has a plan to get rich. far fewer have a plan to stay under the radar.

I think traders get into trouble when they start treating one outcome as inevitable. Markets can hold two conflicting truths at the same time. A rally can keep getting stronger while the structure underneath it becomes more fragile. A sharp selloff can do real damage without automatically meaning a new long-term downtrend has started. You can have a base case. You probably should. But there’s a big difference between saying one outcome is more likely and deciding every other path has disappeared. The moment I hear myself thinking “there’s no other way this can play out,” that’s usually when I want to question the position again. Conviction is useful. Certainty is where markets get expensive.

Hyperliquid just added trailing stops to perp markets, expanding automated position management in DeFi. The September 21 launch adds another execution primitive to Hyperliquid’s growing trading stack. Here’s how trailing stops fit into @HyperliquidX’s broader trading stack. — — — ➤ Less manual work for leveraged traders Before trailing stops, traders had to manually move stops, take profit, or risk giving back unrealized PnL. Now: Price moves in your favor → trigger follows Price reverses by X → position exits Launched on September 21, 2026, trailing stops track the best mark price after activation, automating position management on Hyperliquid perps. — — — ➤ Trailing stops turn risk management into an automated rule A trailing stop delegates part of the trader’s decision-making to the protocol: Price rises → watermark rises → trigger rises Price reverses by X → market order executes It tracks the best mark price after activation, with the trigger moving only when a new watermark is reached. Example: 100 → 110 → 120 Trigger: 90 → 100 → 110 The trader no longer needs to manually adjust the stop as the position moves. — — — ➤ Why this matters more in leveraged markets Perpetual traders manage leverage, liquidation risk, position sizing, funding, execution, and PnL simultaneously. Trailing stops remove one layer of that workload: Large unrealized gain → no manual stop adjustment → predefined retracement → automatic exit For leveraged traders, that means less position babysitting and more systematic risk management. — — — ➤ Hyperliquid is building the trading stack Key primitives now include: • Manual borrowing • Portfolio margin • TWAPs • Scale orders • Trailing stops Individually, these look incremental. Together, they show Hyperliquid bringing more of the professional trading workflow into one venue. — — — ➤ The competition is shifting beyond liquidity Traders need more than liquidity across the full workflow: Entry → Position management → Execution → Risk management → Exit Hyperliquid is filling more of these layers: • Trailing stops → exits • TWAPs → execution • Scale orders → order construction • Portfolio margin → risk management • Manual borrowing → capital access Individually, these are incremental. Together, they create a more complete trading workflow within one venue. — — — ➤ The trade-off: automation comes with transparency Trailing-stop data remains observable through Hyperliquid’s on-chain infrastructure. One example involved: • 1,006 $ETH under a 5% retracement • 2,840 ETH position at 25x leverage • ~$7.8M notional exposure • 1%, 3%, and 5% trailing levels The trigger price and changing “best” price can therefore be observed publicly. — — — ➤ The trade-off: convenience vs privacy Automation → less manual management → easier position management Transparency → observable orders → inferable trading rules → potential information leakage The same on-chain design enabling automation can also expose trading intent. ~$910B in annual perp DEX stop activity and ~$382M in fees were estimated in the source. — — — Hyperliquid is moving beyond perp liquidity toward a more complete on-chain trading stack. The next edge may come from execution infrastructure, not simply deeper liquidity. But as automation expands, the privacy cost of fully on-chain trading becomes harder to ignore.

Loyalty programs on exchanges always leave me with the same question: Why is trading more still treated as the main sign of a “better” user? Someone doing $1M a month gets recognized immediately. Someone who secures their account properly, uses the platform consistently and actually explores different products usually doesn't. That's what I find interesting about the revamped VVIP system from @MEXC. M-Score isn't based only on how much money you hold or how much you trade. Assets and trading still matter, but things like Advanced KYC, passkeys and daily activity count too. Everyone starts with an M-Score of 350 and can enter Standard without first meeting a specific asset balance or trading-volume requirement. From there, your score changes with how you actually use the account. The perks themselves are mostly familiar: vouchers, Card cashback, futures benefits and higher-tier services. The part I like is that you don't need to be a whale before you're even allowed through the door. You enter the membership system first, then your activity determines where you go from there. 🔗 Check your M-Score and benefits here: mexc.com/user/m-score NFA, DYOR.

Arc finally has its cat. The funny part is Beancat had the @arc handle before Arc was even a chain. Now it has the ticker too, and @TrustSwap just joined the $BCAT side. Simple lore, no overcomplicated story. CT usually knows what to do with that. Still around $1.9M here. Curious how far the cat can take this. CA: 0x258bbb25fB1bc34C87212F8dAB34838854eF2D5D