Trader ยท Web3 ยท Creator | Football | Cliper @clipur.com โข 24733
Ilorin
Joined March 2024
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As it should be!
You canโt play here @Duelbits and be a loser
Keno looks better, faster and sharper on the new @Duelbits site
looks like @waxumfriendly found the magic touch on the new @Duelbits Blackjack tables โ ๏ธ
โgiant congrats on the win.. always love to see big plays pay off on @Duelbits
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The Grvt 2.0 feature Iโm most curious about is Yield as Margin (planned for November).
The problem it targets: capital usually has to pick one job. In a yield product, it earns but doesnโt back your trades. As trading margin, it backs trades but earns nothing.
Say you hold stablecoins in Earn and want to open a position. In most setups youโd move them out of the yield product first. Yield as Margin is designed so eligible Earn balances can serve as margin while continuing to earn yield, subject to product terms and risk parameters. Grvt Earn is targeting up to 11% (a target, not a guarantee).
One thing Iโll watch closely: margin still carries trading risk, so Iโll be reading the risk parameters carefully when it goes live.
What ties Grvt 2.0 together for me: Earn, then Stable Funding Perps, then Yield as Margin, then one self-custodial app. The burn showed execution. This is the part that shows the direction. ๐ @grvt_io
Roadmap: grvt.io/blog/v2/the-road-to-โฆ
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One thing about DeFi is that providing liquidity is one thing, managing it is a whole different ball game.
You have to think about price ranges, capital allocation, fees, and what happens when the market moves against your position.
Now imagine managing several positions at once.
Thatโs where things can get messy.
I came across @liquidityladder and I wanted to understand how it approaches this problem. ๐
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Perps dominate on-chain derivatives, but options account for less than 1% of perp DEX volume.
If that gap starts to close, it will likely come from cheaper hedging, more efficient margin and options liquidity that doesn't depend on rewards, with value potentially flowing to the infrastructure underneath.
The problem with perps is that being right isn't enough. A $BTC backtest of 10x longs that eventually turned profitable found they still faced these liquidation probabilities along the way:
- 60 days: 18%
- 90 days: 29%
- 180 days: 47%
An option buyer can't be liquidated. The most they can lose is the premium they paid.
September 2026 set a record for on-chain options activity:
- Notional volume: ~$5B, roughly double the previous month
- Premium: $85M, up roughly one-third
- Open interest: peaked near $2.5B
Even after that record, on-chain is still the opposite of traditional markets, where options dwarf futures. In 2025, they traded 88.65B options contracts versus 30.64B futures contracts, almost 3x more.
Earlier on-chain options protocols struggled with fragmented liquidity across strikes and expiries, expensive hedging, stale quotes exploited by arbitrageurs, and excessive collateral requirements. Selling a BTC call for $1,800 could require $100,000 in collateral.
Building options alongside deep perp liquidity makes hedging cheaper and improves capital efficiency.
@Decentralisedcoโs example shows portfolio margin reducing required collateral from $100,000 to $15,000 for a $BTC call, raising monthly returns on locked capital from 1.8% to 12%.
The main players occupy different positions in the options stack:
- @HyperliquidX: Deep perp liquidity and shared margin for hedging.
- @DeriveXYZ: Options infrastructure, professional liquidity and APIs for other applications.
- @paradex: Institutional block flow, with daily volume reaching $58.7M after its Paradigm integration before open interest declined.
- @ryskfinance: Covered calls that let HYPE, BTC and ETH holders earn premiums.
- Hypercall (@SynapseProtocol): Options built around Hyperliquid's perp liquidity.
Derive captured over 90% of on-chain options premium in September. Hypercall's rewards drove a 50x increase in notional with little change in premium.
Demand could expand through new on-chain assets and embedded options, allowing lending protocols to offer liquidation protection and perp platforms to integrate downside hedging.
Two models could help attract options sellers:
- @metricxyz: Uses liquidity pools to distribute options, but each strike and expiry requires separate capital.
- @papertrade_xyz: Uses token incentives to attract sellers, with perp hedging to manage risk.
In a BTC backtest, daily hedging cut the worst weekly payout burden from 20 weeks of premium income to 10.
On-chain options growth depends on sustainable market-maker economics, deeper liquidity and demand that persists beyond incentive-driven volume.
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I was having my evening tea when I opened the @QMSNetwork whitepaper again and the layer structure stood out.
The network and execution layers are largely inherited from Ethereum, so existing wallets and tools work from the start.
The consensus layer runs through the Casimir client and uses Proof-of-Useful-Work, where miners solve real optimization problems such as QUBO instead of pure hashing.
A separate finality layer marks blocks as final with post-quantum signatures shortly after production so they cannot be rolled back.
Quantum hardware can join the miner network without any protocol change and earn a larger share when it produces stronger solutions.
What I find notable is that block production itself relies only on hash functions, making the consensus quantum-resistant by design.
Watching the testnet move forward while this architecture is still being refined is interesting.
๐ค Paid partnership
Listen up friends, the Quip side walked through the XQuad toolchain with two different demos.
@quipnetworkโs blog describes XQuad turning QUBO and Ising models into a constraint language (xqcp); you write the program once, XQVM compiles it to a quadratic model, and xqsa can send that same model to a D-Wave, local annealer, GPU, or the network.
The trading game demo plugs an existing QUBO into the solver layer, while Parcel Forum builds the logistics plan from constraints like EXCLUDE, SLACK, and ATLEASTW from the start.
On the port check the matrix coefficients matched exactly and the answers lined up almost one-to-one.
On Advantage2 the XQuad path stayed in the same band as the classical alternatives.
(๐ทAccording to X rules, a paid partnership has been selected. It is not investment advice or a paid partnership.)
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Imagine finding a promising Web3 project before it blows up. ๐
Thatโs why Iโm keeping an eye on @rarelistio
Instead of randomly searching for projects across X, you can discover different Web3 campaigns in one place, contribute through content, earn RARS points, climb the leaderboard, and unlock potential rewards.
Airdrops, whitelist spots, and early launch access? Those are some of the opportunities campaigns may offer.
And the interesting part is that more projects can join over time.
The earlier you find a campaign that fits you, the earlier you can start contributing and building your reputation.
Donโt wait until everyone is talking about the same project.
Sometimes, the real opportunity starts before the hype.
Explore rarelist.io/r/0xirrr
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The power of a community is not just in its size, but in the message it spreads.
@1096361BTC is turning 1,096,361 BTC into a symbol of a bigger conversation about the potential risks AI and quantum computing could bring to crypto.
Thatโs where POV (Proof of Viral) comes in.
Create content, share your perspective, spread awareness, and earn points for your contributions. Every post can help bring this issue to more people.
Donโt just watch the movement. Be part of it.
Join POV. Make the message viral.
1,096,361. The conversation starts with us.
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AI can understand text, but navigating the real world requires something more: accurate spatial data
This is what @vangrid_io is working on:
- Turning everyday walks into useful 3D data
- Helping robots and drones understand real environments
- Making spatial data verifiable through blockchain technology
The idea is simple: teach AI to understand not only what the world looks like, but how it is actually structured
Android is live.
3 billion pockets. Now every one of them is a potential edge node.
Download. Scan. Get paid for mapping reality.
iOS next.
The grid is inevitable.
play.google.com/store/apps/dโฆ
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In the midst of the chaos from other gambling platforms @gamdom steals the spotlight as one of the best and reliable and easy to navigate
Use the code "Steve" to register and make your way up to fortune
My entry on #Gamdom100kRound2
@kingadukes
@stevewilldoit
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@waxumfriendly is so excited to try the new keno look on @Duelbits its soo good now ehe eh
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One thing Iโve learned from playing Web3 games is that I donโt want to read about a productโs entire ecosystem before I use it.
Itโs like judging a new racing game by its economy without actually playing it.
Thatโs why @Tera_Map caught my attention.
You can enter its browser-based city for free, explore the environment, drive karts, and experience combat without connecting a wallet.
What I find most interesting is that the playable world comes first, while its larger on-chain economy is still being built.
To me, thatโs what makes this experience worth exploring beyond just the NFT aspect.
Iโm eager to see how the world develops from here. ๐
๐ค Made with AI
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One thing I don't want from the agent economy:
โ๏ธ LinkedIn for bots.
โ๏ธ A polished profile.
โ๏ธ A few impressive claims.
โTop AI researcher.โ
โElite trading agent; 99% reliable.โ
But where's the evidence?
@termix_ai is taking a different approach by making an agent's economic history part of its identity.
โ๏ธJobs completed.
โ๏ธPayments settled.
โ๏ธChallenges.
โ๏ธReputation.
All tied back to an on-chain agent identity.
That changes the question from:
โWhat does this agent claim it can do?โ
to:
โWhat has this agent actually done?โ
That distinction sounds small now.
It probably won't be when autonomous agents are moving real money between each other.
#AIagents #AI
One thing I find interesting about the TermiX model is how it treats agent reputation.
Most AI agents can tell you what theyโre capable of.
A profile can say an agent is good at research, coding, trading, data analysis or whatever else.
But a claim on its own doesnโt mean much.
What if an agentโs reputation came from the work it actually completed?
Thatโs the direction @TermiX takes with its ".agent" identity.
The identity is owned by the agentโs wallet, while its history can build around actual economic activity; jobs taken, work delivered, challenges raised and settlements completed.
That changes the meaning of reputation.
Instead of:
โTrust this agent because its profile says itโs good.โ
It becomes closer to:
โHereโs the work this agent has done, and hereโs the onchain record behind it.โ
I think that distinction becomes increasingly important as agents start doing more valuable work for one another.
If an agent is going to manage a treasury, perform research, run an audit, execute a strategy or provide infrastructure to another agent, you need more than a nice description.
You need a track record.
And ideally, that track record should be difficult to fake.
Thatโs one of the parts of TermiX Iโll be watching more closely as I continue exploring the platform.
The bigger question for me is whether this kind of verifiable economic history can become a real reputation layer for the agent economy.
#Agent #AIagents #TermiX
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๐จ Urgent Hiring Web3 KOLs & Ambassadors for YeNo
Looking for active Web3 content creators and ambassadors for upcoming campaigns
๐ฐ Earn $100โ$500/month in USDT/USDC
Interested?
๐ RT to spread the word
๐ฉ DM me your stats from the last 3 months
Letโs build together ๐ค
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