Threador | Not Financial Advice | Rock Climber | Advocate of DeFi Here to onboard you to @HyperliquidX @BasedOneX
Joined January 2014
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Dragan Pavlovic retweeted
Why 300 Global Institutions Ranked Regulatory Compliance Above Yield in Digital Assets
State Street, the global custody giant overseeing more than 59 trillion dollars in assets under custody and administration, has released findings from its digital assets study surveying 300 senior executives across asset managers, asset owners, and wealth managers worldwide. According to the report, 51 percent of institutional executives now expect digital assets to become mainstream within the next five years, a sharp jump from 42 percent last year and just 11 percent two years ago, indicating that institutional sentiment has shifted from early experimentation to practical implementation.
Operational readiness across traditional finance has already reached critical mass, with 35 percent of surveyed institutions actively managing or distributing digital assets today and another 28 percent having the provider relationships and infrastructure in place to launch as client demand arises.
Among participating institutions, average portfolio allocations to digital assets have risen from 7 percent last year to 11 percent today, with plans to expand that weighting to 17 percent over the next three years. Rather than chasing speculative price swings, 53 percent of respondents pointed to cost reduction and operational efficiency as the primary benefit, naming tokenized asset settlement at 64 percent and fund tokenization at 52 percent as their leading strategic priorities alongside bank issued US dollar stablecoins and tokenized deposits.
What stands out most in the survey is that when institutions select digital asset platforms and on chain infrastructure, raw yield is not their top priority.
Instead, 69 percent of respondents identified experience operating within an established regulatory framework as the single most important requirement, followed closely by cybersecurity at 54 percent and financial strength at 47 percent. While retail participants often rotate capital across decentralized finance protocols chasing higher annualized yields, fiduciaries managing trillions of dollars require custody, identity verification, transaction monitoring, and accounting to function seamlessly inside a unified compliance architecture before they can deploy capital at scale.
Ultimately, State Streets survey confirms that the platforms capturing the next wave of tokenized assets and institutional on chain liquidity will not be those offering the highest promotional yields, but those providing bank grade regulatory compliance and security infrastructure.
$BTC $ETH $AAVE $LINK
Dragan Pavlovic retweeted
An AI trading agent can have a great strategy, but what happens when the market moves against it?
That's the part I think deserves more attention.
@agenticscredit is approaching this from an interesting angle. Its risk engine enforces stop losses, trailing controls, and drawdown limits instead of simply letting an agent trade without boundaries.
Even more interesting, every trade contributes to the Agentic Credit Score (ACS).
You can experiment with paper trading without risking your own capital, test different approaches, and earn $CREDIT points along the way.
Because in an agent-driven trading economy, proving how well you manage risk could matter just as much as proving how much you can earn.
I'm keeping an eye on this one.
Explore Agentics.credit and start building your track record.
Dragan Pavlovic retweeted
Stablecoin growth gets more interesting to me when there is a clear plan for how its economics support the wider ecosystem. That is what caught my attention in @worldlibertyfi’s $WLFI buyback announcement.
The initial allocation may include fees earned from USD1 reserves alongside other funding sources. I like that proposed connection between a working product and the governance token around it.
The long-term approach matters too. WLFI says it will evaluate the program over time, with the pace and scale guided by ecosystem growth and governance participation.
For me, the opportunity is a closer relationship between USD1’s development and the holders helping shape WLFI. A buyback policy gives that relationship a practical direction, and I’m interested in seeing it develop through the program’s implementation.
The success of $USD1 and the growing WLFI ecosystem is helping us launch a new $WLFI token buyback program to strengthen the WLFI ecosystem and governance.
We plan to fund buybacks with an initial allocation that may include fees earned from USD1 reserves and other sources. We’ll start with an initial allocation and evaluate the program over time.
The goal is to encourage active participation in WLFI governance and consolidate voting power among our most committed long-term holders.
We intend for buybacks to be an ongoing part of our long-term strategy with the pace and scale guided by ecosystem growth and impact on governance participation.
We’re building for the long term, alongside the holders who share that vision. 🦅🦅🦅
Dragan Pavlovic retweeted
the cabal isn't even hiding it anymore
they're literally coordinating multi-million dollar pumps in private telegrams while top KOLs distract everyone with fake beef on the timeline
you can either cry about insider trading or follow the smart wallets printing generational money
this run is about to get completely out of hand
Dragan Pavlovic retweeted
Physical AI keeps pushing forward with stronger world models and robots that learn from real places.
Most of the useful data still cannot be scraped from the internet or collected by fleets that only cover roads.
Stairwells loading bays and busy streets change often and stay hard to see from above.
@vangrid_io turns ordinary phones into a demand driven capture network that films the exact spots buyers need.
Those short videos become 3D models with a fingerprint taken at capture time and anchored on Base.
Anyone can verify the provenance against the public record instead of relying on a central claim.
A useful tradeoff is capturing on demand for specific locations while building toward denser multi view coverage that world models need for confidence scores.
This approach makes crowd sourced ground truth practical for training instead of remaining unverified footage.
teapaw.org/vangrid_io/status/2118…
🤖 Made with AI
14 pedestrian crossings in Raleigh. One bounty, settled on @base.
Curb ramps, tactile pads, paint, button poles, 10 ft either side. Once by day, once under streetlights.
Filmed on phones. Settled this week.
Dragan Pavlovic retweeted
been thinking through the token design on @strato_net again with TGE getting closer...
maximum supply is 100 million, with 55.2% allocated to the Community.
$STRATO is built for Staking and Validator participation on the HardFi chain... the network already runs tokenized metals, $USDST borrowing, trading, and savings.
the token sits as the coordination piece for that infrastructure... it does not automatically capture protocol fees or anything else.
demand would come from people actually needing to stake and validate as usage grows...
that’s the part i’m tracking... how do you see the Community allocation fitting with the staking role once the network is fully live @strato_net?
Dragan Pavlovic retweeted
a real trade isn't necessarily a new trade.
that's an important distinction in @zerufinance's ActivityFi model.
Zaps lets protocols fund campaigns against trading volume targets, filters wash activity and returns unused rewards when targets aren't met.
but verified volume and incremental growth are different things.
a trader might generate legitimate volume during a campaign even without the incentive.
the protocol still pays, but did it acquire new economic activity or simply reward existing behavior?
this is where ZeruAI's historical wallet intelligence becomes interesting.
past trading patterns could provide a baseline for evaluating whether incentives actually change user behavior.
to me, ActivityFi's next challenge isn't just proving that activity happened.
it's proving what the campaign added.
connect your real trading wallets, check your existing Zaps and review campaign eligibility before participating.
🤝 Paid partnership
Dragan Pavlovic retweeted
14 pedestrian crossings in Raleigh. One bounty, settled on Base.
@vangrid_io asked for the curb ramps, tactile pads, paint, and button poles, plus 10 feet either side. Filmed once in daylight and again under streetlights. Done on phones and settled this week.
Physical AI needs more than coordinates. A robot on a sidewalk needs the actual accessibility features and how the place looks under different lighting. Static maps do not capture that.
The quality checks are stricter than length and blur. Camera signal and location signal have to match. Duplicates against existing captures get flagged. Anything that fails is rejected with a reason before it can be submitted.
Faces and plates are still blurred on the device. Buyers only get the watermarked preview and the 3D model. Fingerprints stay anchored on Base.
Still deciding whether the signal match makes me turn location on more carefully or just skip the borderline spots.@vangrid_io
$ETH holding the reclaim at $3,200 cleanly. Next expansion leg targets $3,900.
Dragan Pavlovic retweeted
prediction markets have an unforgiving property: they resolve at $1 or $0.
you don't get to "manage" the close. the market decides.
that's exactly why @agenticscredit made polymarket the first approved venue for constrained credit.
the pitch on their polymarket page is blunt ... take a strategy, build an agent, trade with up to $250,000 of their capital. subject to terms. not all traders qualify.
the capital path is the part most decks blur:
their wallets hold the credit
a constrained credit account routes it
trades land only on approved venues
your keys stay out of the money path
qualification is a number, not a form. acs 580 on the 300–850 scale opens the funding waitlist. ceilings and terms publish as funding opens.
paper first if you're under the bar ... real polymarket markets, live risk engine, every close feeds the score.
i'm running that paper side now. the venue that scores you is the same venue that can fund you later.
t.me/Agenticscreditbot?start…
🤝 Paid partnership
Dragan Pavlovic retweeted
🚀📊 TRON DAO Regional Developer Hub Network!
Active regional developer hubs supporting TRON ecosystem builder teams broke through 40 global tech hubs!
1️⃣ Performance over the past 30 days:
🔹 New international community chapters: 12+
🔹 Global ecosystem footprint remains steadily stable
🔹 Builder participation continues to rise
2️⃣ Core Highlights
🔹 High activity signifies genuine usage growth
🔹 The network continues to handle large-scale transaction demands
🔹 Stability and efficiency validated by the market
🔹 Foundation for Web3 applications expands further
3️⃣ In summary, one sentence:
TRON DAO is demonstrating its scalability as a global high-performance blockchain infrastructure and its real-world application value through sustained growth in genuine users and on-chain activity.
@justinsuntron @trondao #TRONEcoStar
Dragan Pavlovic retweeted
Distribution rails get the least attention of the three chokepoints, and they may be the most familiar. The interfaces that deliver AI to screens decide which model a user meets first
If models commoditize, as the manifesto argues, the screen owner sets the terms. That shifts the question from which model is best to who controls the path to the user. Thoughtful breakdown from @TheDAOLabs for the #DAOVERSE
Every watershed shift in tech began with a low-key PDF — from Bitcoin in 2008 to Transformers in 2017.
Now, a new manifesto is shaking the market: "The Commanding Heights" by @WillManidis.
Are frontier AI labs walking into the Gutenberg Trap while durable wealth settles in infrastructure chokepoints?
Read our breakdown on the DAO Labs blog. Check our BIO.
Dragan Pavlovic retweeted
Good morning CT ☀️
Not every transaction tells the same story.
A wallet can make hundreds of swaps and generate impressive activity numbers, but that doesn't necessarily mean it has contributed real value to a protocol.
This is an important problem @zerufinance is trying to tackle with Zaps.
Instead of simply counting transactions, the focus is on understanding the quality of activity, how it connects to the protocol and whether it creates meaningful economic value.
Because in Web3, genuine contribution should matter more than just activity numbers.
