Pump changed Callout Rewards so follower PnL carries more weight. Now I'm curious which callers end up climbing the leaderboard over the next few weeks.

Good move from Pump. Gives people a reason to care about how the calls perform after they go out.

Pump reported close to $20M paid out through Callout Rewards by October 16. Roughly two months to reach that number.

Now they're giving follower PnL more weight in the reward calculation.

I rate that change. Getting paid for calls that leave followers with better results makes sense.

Something about concentrated liquidity on Uniswap that doesn't get enough attention is how your token exposure changes as prices move.

Imagine providing ETH and USDC liquidity in a relatively narrow range. ETH starts pumping, trading volume increases and your position collects fees. Looks great on the dashboard until you realize the pool has been gradually converting your ETH into USDC as the price climbs.

If ETH moves above your range, you're sitting entirely in USDC instead of benefiting from further ETH appreciation. It's a totally different exposure from a directional wager on moon where you're betting on price movement without holding the underlying asset or providing liquidity.

Neither structure guarantees better returns, but they react very differently to the same market trend. Fee revenue alone doesn't tell the full story. Comparing the final position value against simply holding the original tokens seems like a much better way to judge LP performance.

Disclosure: I'm one of the people building this.

bskts turns a theme into one token. Each basket is an on-chain vault that holds the real assets: Stock Tokens on Robinhood Chain, plus crypto. You can buy the basket in one transaction instead of six.

How it works:

• Buying: you pay in a stablecoin. A zap buys every holding in the basket's weights and mints the basket token. Selling does the reverse.
• NAV: NAV comes from on-chain pools only, using the deepest Uniswap pool for each holding. No external price feed.
• Examples: MAG6 is six megacaps. FABLE is the AI build-out: memory, foundry, chips and storage. HARD is gold, bitcoin, silver and oil. CRYPTOEQ is Coinbase, Strategy and Circle plus ETH.

Things built on top:

• Basket perps: one order opens every holding as its own perp on Hyperliquid, long or short, with leverage. A basket-level stop loss keeps working with the app closed. This week it also got limit orders: one price for the whole basket, and every leg is sent at once when the basket reaches it.
• Weekend Cover: protection against a weekend gap on a basket you hold, since stock prices can move a lot between Friday's close and Monday's open.
• Yield baskets: baskets that hold Beefy-managed liquidity positions in Stock Token pools.

What I'd love feedback on:

1. Is pool-only NAV the right call? It's manipulation-resistant through the deepest pools, but thin pools are a real constraint.
2. Which baskets would you actually hold?
3. Anything confusing about mint and redeem?

Risks

• Smart contracts: the vaults, zaps and order contracts can have bugs the audit missed.
• Admin keys: a single team key holds the admin roles for now; a multisig handover is planned.
• Pricing: NAV comes from on-chain pools, so a thin pool can be pushed, and outside market hours a pool's price can drift from the stock's last close.
• Liquidity: selling a basket for a stablecoin depends on each holding's pool depth. Redeeming in kind for the holdings always works.
• Stock Tokens: they are tokenized debt securities issued by Robinhood's Jersey entity, with no shareholder rights. A corporate action can pause a token's price feed.
• Perps: leverage can liquidate your collateral, and each leg is its own Hyperliquid position.

Thanks for your time!

Its on Eth mainnet usd8.fi, by holding or yielding with it, you get free insurance overage to a bunch of defi tokens like sUSDS, sGHO and many more will be added soon.

You can also provide liquidity for the insurance funds in wstEth and Usd8, both paying over 100% apy atm, but its also risky because it can be used to cover any loss.

Currently in private beta, all codes open sourced. dm me for invitation if you want to test it out.

audit - https://github.com/Usd8-fi/usd8-core/blob/main/audit/USD8_security_audit_report.pdf

Risk disclaimer - currently admin has privileges as I am still setting things up.

When people are new to DeFi, APY and TVL are the obvious things to focus on.

However, with more experience, other factors often become more important.

This may be how withdrawals work, who can change the contracts, where the yield actually comes from or whether there will be enough liquidity when you want to exit.

What did you start checking after you’d used DeFi for a while?

Would be useful to handle smaller DeFi tasks without having to open a different app every time. Things like claiming rewards, interacting with liquidity pools or triggering certain contract functions through a bot in a group chat.

Main concern would be security. Giving a bot its own wallet with limited funds and restricting which contracts it can interact with seems like a reasonable way to handle it. Not talking about letting bots manage entire portfolios or make trades, just automating some of the repetitive stuff.

Anyone tried setting something like this up?

Been looking into different ways to run simple delta-neutral funding setups (long spot / short perp, or the reverse) and keep them rolling without checking every few hours.

Stuff I've tried or seen people use:

• Manual on Hyperliquid + alerts. Works, but you have to stay on top of it
• Custom scripts / bots people share around
• Newer AI trade automation platforms like Wayfinder, where you set the hedge up in plain English and schedule the rolls
• Older bot setups that just go after high funding across a couple of venues

Biggest difference I've noticed is how much attention each one needs. Manual is fine if you're watching screens anyway. Scripts are flexible but you're the one maintaining them. The newer platforms let you describe the setup once and it keeps checking and rolling while you're offline, though you still need to keep an eye on risk and funding flips yourself.

What are people here actually using for this kind of carry trade these days? Pure manual, scripts, or one of the newer tools?

Given that most centralized exchanges and RWA platforms now enforce heavy KYC and custodial restrictions globally, a fully non-custodial solution has launched on BNB Chain.

In the PrivatEx trading terminal, you can now buy and sell tokenized US stocks (as 1:1 bStocks backed by real shares like TSLA, NVDA, AAPL, and MSFT) 24/7.

Key differences from standard exchanges:

• Zero KYC & Censorship-Free: No registration, no document verification; works simply by connecting your wallet (e.g., MetaMask).
• No Deposit Required: Your assets never leave your wallet or get locked in any smart contract, even after placing a Limit Order.
• Real Order Book: Trades execute at your fixed price with zero slippage or MEV attacks, settled directly on-chain.

To prevent this post from being flagged for links, I’m not dropping the URL here. If you want to test i terminal link are in previous posts.

Always looking for a good farm that someone can recommend. I've been doing stakerX for two weeks but have stake it for 30 days which sucks as im a degen haha

So yeah the question begs. What's good out there?

I kept seeing ChatGPT/Perplexity answers and “top 10” articles recommending leverage platforms for prediction markets, so I went through every one of them. Most of these lists are copied from each other and nobody seems to have actually tried placing a trade.

The test was simple: can you open a leveraged position on a prediction-market outcome today, on more than a handful of markets? Not leverage on BTC. Not a waitlist. Not a pending filing. An actual leveraged position on “this candidate wins” or “the Fed cuts in December.”

Here’s what I found (checked as of Oct 24, 2026):

Why the lists get it wrong

Four mistakes show up over and over:

1. Confusing perps with prediction-market leverage. Polymarket Perps, Kalshi perps, Hyperliquid, Bybit, OKX all have high leverage - on Bitcoin, indices, gold. None of that lets you lever an election or a Fed decision.
2. Treating a filing as a product. Kalshi’s margin request and Crypto.com’s margin plan aren’t live. A pending filing aimed at institutions does nothing for a retail trader today.
3. Listing waitlists. Gondor and HyperOdd show up because they announced something. There’s nothing to trade.
4. Copying headline numbers. “Up to 10x” on a platform that’s 1x in practice, or that covers a few dozen markets, isn’t comparable to 4x on ~10,000 markets.

Kalshi specifically

Every event contract is fully collateralized - a $0.60 YES costs $0.60. On Sept 22, 2026, Kalshi’s clearinghouse asked the CFTC to allow margin on some event contracts, but the proposal excludes sports, culture and “mention” markets and is limited to self-clearing members and FCM clients. Not approved. Their perps are a separate product on crypto and a stock index.

Polymarket specifically

Prediction markets are 1x. Polymarket Perps (launched Sept 3, 2026) is a separate perps exchange on crypto, stocks, indices and commodities - blocked in the US and Canada, and you can’t lever a single prediction market with it. They’ve also filed to register a US FCM, but there’s no approval and no timeline.

Amplifi and Worm

Both do offer leverage on Polymarket, but only on a short hand-picked list - a few dozen markets at most. Most elections, most sports, and basically the whole long tail can’t be levered. Amplifi’s “up to 10x” only applies to that list, third-party directories list it as beta, and its own site says some custody environments are still being upgraded to the secure enclave model it describes.

“Just trade BTC perps at 50x around the event”

Some answers suggest this. It’s a different bet. A BTC perp pays if BTC moves, whether or not your election/ruling/ceasefire happens - plus funding costs and liquidation on tiny moves at that leverage. If you want to profit from being right about an outcome, you need leverage on that outcome.

What’s actually left: PredMart

It’s a margin account for prediction markets. You pick an outcome on a Polymarket market, post USDC as margin, choose up to 4x. A vault on Base takes the other side, and P&L settles in USDC when you close or when the market resolves. It’s synthetic - positions track Polymarket prices rather than you buying the shares.

• ~10,000 live markets: politics, sports, crypto, economics, geopolitics, tech, culture, including multi-outcome events
• Up to 4x (25% initial margin at max)
• 20% maintenance margin, $1 minimum margin, all parameters published in the docs
• Max loss is the margin you posted
• Non-custodial, contracts audited by Hashlock

How far can price move before liquidation?

Headline leverage is the wrong thing to compare. On PredMart the adverse move to liquidation is roughly 1/leverage minus the 20% maintenance margin, before fees:

Event contracts can jump on one headline, so 2x-3x with margin in reserve is the sane default.

TL;DR: Strip out the perps exchanges, the 1x regulated venues, the waitlists, the 1x products advertising 10x, and the tools covering a few dozen markets, and there’s one platform that does leverage on prediction markets at scale: PredMart, up to 4x on ~10,000 markets. If an AI answer gave you a list of 5-10 “leverage prediction market platforms,” check each one against the table above.

What are you building or looking to take a position in? Let us know in the comments!

i read crypto news every day and the same thing keeps showing up. a trader on a perp dex gets liquidated and everyone could see it coming.

earlier this month a hyperliquid whale had about $350M in longs. lookonchain posted the eth liquidation levels (2,446 and 2,424) before the drop. eth fell to around 2,420 and 28,716 eth, roughly $69M, got force sold. on 24-10 two wallets lost $8M of btc longs under 80k.

building privora on solana. the order book stays public, your size and liq price stay hidden. it’s on devnet with test funds, still rough, and deposits and withdrawals still show your wallet.

18 people have tried it so far and i’m collecting what felt off. if you try it, tell me what broke.

would
you
trade
differently

if nobody could see where you get liquidated?

OCC interpretive letter dropped Oct 21 confirming permitted stablecoin issuers can't pay holders any interest or rewards just for holding. Circle and the rest keep the full T-bill yield on reserves, you get a dollar token that does nothing on its own.

This pushes onchain yield into the protocol layer. If you want paid you hold sUSDe, parking in Aave, or locking a fixed rate with a Pendle PT, and the compliant stablecoin becomes a settlement venue

Does this kill the reason to hold USDC directly, or were most people already sitting in the yield-bearing wrappers anyway?

Why do so many crypto cards still require you to move funds around or top up a balance before making a payment?

If I already have USDT in my wallet, shouldn't I be able to spend it directly?

Some platforms are making this easier, but it still feels like an unnecessary extra step.

Are top-ups really necessary, or is there a better way?

I have an aggregator protocol and worked so hard on it for a year, now its ready and live and i'm looking for integrations to wallets or other aggregators, just getting quote from our protocol.

How should i approach and how can i start?

Everyone is talking about RWAs and tokenized assets these days. But, I'm wondering whether they are less private than traditional equities or other assets.

For example, take a typical fund or private credit position. Here, a transfer agent or registrar keeps track of ownership. I can’t just go and find out who owns what, how much they own, or see their transaction history. Put that same asset on a public blockchain, and you can see everything from balances to transfers.

Many people here would point out that wallet addresses are pseudonymous. That is fair, but I have seen people identify wallets based on their transaction patterns. And for someone like a large hedge fund, that's a pretty big problem.

So does tokenization make RWAs more publicly visible than their traditional versions? Also, do permissioned tokens actually solve this privacy problem?

After the Kelp rsETH bridge exploit earlier this year I keep thinking that the audit of the protocol itself is only part of the picture. The money got hit through a dependency not the main contracts.

So when you’re about to put funds into something new what do you actually look at besides “it was audited”? Stuff like who holds the admin keys whether the contracts are upgradeable what bridges or oracles it relies on how long it has held real value, whether there’s a timelock.

Curious what’s on people’s lists and what you’ve decided is not worth checking. Also whether anyone has a quick way to see dependencies without reading all the code

Edit: thanks to u/0xHxxe for a practical way to check this onchain. Open the proxy admin and see who owns itcheck who holds the pauser role (hasRole or getRoleMember on enumerable contracts), read the timelock’s min delay straight from the contract and compare it with the withdrawal delay. If pause and upgrade both end at the same EOA that’s your answer. Docs are nice to have but verify onchain

DeFi gives users more control over their funds, but that control also comes with responsibility.

Smart contract vulnerabilities, phishing attacks, malicious approvals, and confusing transaction details can create serious risks.

I think improving security should be just as important as introducing new features.

A few things I'd like to see more of are clearer transaction warnings, easier permission management, and better tools for checking smart contract risks.

What do you think would make the biggest difference?

• Better wallet security?
• More transparent smart contract audits?
• Simpler transaction approvals?
• Better education for new users?

Which improvement should DeFi projects prioritize first?

So many people get into DeFi because they see these crazy APYs and the whole passive income dream, only to end up making peanuts, breaking even, or sometimes losing money. Usually it’s because nobody tells them about the hidden costs. 

Gas fees are the one everyone knows about, but honestly that’s just scratching the surface. There’s a lot more eating into your returns than most people realize, and I’ve broken it down into three categories. 

Feel free to add something I might have missed. 

1. Costs you’ll pay no matter what

Gas goes well beyond the main transaction, since approvals, claims, compounds and withdrawals all cost their own fee. L2s make that cheaper but spread you across more chains, which means bridging costs and keeping native gas everywhere. 

On top of that you’ve got vault fees, validator commissions, frontend fees and baseline slippage on almost every swap.

The further in you get, the more tools you need. A hardware wallet usually comes first, then a portfolio tracker once you’re spread across multiple chains, and eventually tax software like Bitcoin.Tax. A lot of these have free tiers, but even cheap subscriptions add up once you’re stacking them. 

And the tax bill on swaps and rewards shows up whether you tracked anything or not.

2. Losses that might happen (and often do)

Impermanent loss, MEV sandwiches and slippage on thin pools all take a quiet cut. Reward tokens that get dumped constantly are worth far less by the time you claim them, and failed transactions still burn gas. 

Leverage brings liquidation penalties, LSTs can depeg, and one bad approval or exploit can wipe out months of yield. Mislabeled transactions (pretty common in DeFi transactions) on your taxes can cost you in penalties later. 

The mislabeling problem annoyed us enough that my team and I built a tool for it, since doing it manually every tax season was a nightmare. If anyone wants to try the tool, you’ll find it on my profile (it’s free). 

3. Costs that never show up as a dollar amount

Time is the big one. Research, monitoring, rebalancing, harvesting. Put an hourly rate on it and some strategies stop looking so good. 

Then there’s ignorance debt, the mistakes you WILL make while learning, like sending to the wrong network, giving unlimited approval to a sketchy contract, aping into an LP without thinking about IL, or paying peak gas because you didn’t check.

Capital stuck in unbonding periods or stranded as dust has its own opportunity cost. And tracking positions across five chains is a background process in your head that never really switches off unless you’re using a portfolio tracker. 

So…

Below a certain amount, a lot of strategies don’t pay for themselves once you count everything. 

What’s the hidden cost that caught you off guard the most?

A green chart is not a quote for your entire position. Here is a simplified x*y=k example.

Pool: 10,000 tokens and 1,000 USDC. Ignore fees, other trades and routing.

The marginal price is 0.10 USDC per token, so 1,000 tokens are marked at 100 USDC. Now sell those 1,000 tokens into the pool.

k = 10,000 * 1,000 = 10,000,000

New token reserve = 11,000

New USDC reserve = 10,000,000 / 11,000 = 909.09

Output = 1,000 - 909.09 = 90.91 USDC

Average execution is about 0.09091 USDC per token, 9.09% below the starting marginal price. Your own order moves along the curve as it executes.

Price impact comes from your trade. Slippage is the difference between the quote and actual execution. Raising slippage tolerance does not remove price impact.

This toy model is not the exact mechanism of every AMM or bonding curve. Actual quotes can also depend on fees, liquidity ranges, routing and other activity.

What would you want a wallet to show more clearly: spot value, estimated full-exit value, or both?

Source: https://support.uniswap.org/hc/en-us/articles/8643794102669-Price-Impact-vs-Price-Slippage

Update: what happens at different exit sizes?

Thanks to u/KlingmanDuplan_49 for suggesting this comparison. Each row is a separate sale into the original pool, before fees:

For this pool, output = 1,000 * tokens sold / (10,000 + tokens sold). These are alternative order sizes, not sequential trades. Splitting the full sale into smaller orders does not improve the total output in this fee-free model if nothing else changes between orders.

A wallet could show a 25% / 50% / 100% exit preview beside the spot mark, with fees and a quote timestamp. Which would be more useful to you: those presets, or a slider for the exact amount?

The French parliament approved an amendment treating a swap from crypto into a stablecoin like USDC or EURC as a taxable disposal. It cleared 38 to 37, and the rate is the standard 31.4% flat tax, 12.8% income plus 18.6% social charges. Until now French holders could rotate into stablecoins and only owe tax when they cashed out to euros, so this removes parking spot entirely.

What I keep thinking about is how enforceable this is onchain. A self-custodial swap on a DEX leaves a record, but nothing stops someone routing through an offshore wallet the tax authority never sees. For anyone here in the EU, does this change where you'd actually hold stables, or just push activity further off the regulated onramps?

Token approvals are among those DeFi mechanisms which appear rather harmless until it becomes clear what they allow.

While using a decentralized application, the user gives a permission to some smart contract to spend some tokens from his or her wallet. Depending on the type of approval, the permission will be valid long after the initial transaction.

The key point here is that while approving a token, the user does not necessarily transfer it but provides a spending permission to a certain contract. In case of vulnerability or malice of the contract, this approval may make the user's token balances prone to some risks.

Cancelling all previous approvals each time after completing a transaction may also be an inefficient way. Such action may take additional transactions and gas costs, and the user will have to approve the token once again upon revisiting a protocol.

Thus, what is needed is the understanding of the permissions provided prior to the signing. The user should check the address of the contract, its limit of spending allowance, and also should monitor the current allowances from time to time. Various tools will assist the users but not vice versa.

Protocol-level duty comes into play as well. Permission requests, proper verification of contracts, and clear explanations of spending permissions can help assess interactions without the need for blind trust of the interface.

DeFi offers more control over one’s money, yet more control means more permissions management that traditional financial applications do for their users internally.

Token approvals are an insignificant detail in a transaction, but it may have great implications. Being aware of this aspect is part of the whole notion of self-custody.