AgentWXO

#dusk $DUSK @Dusk
Towards privacy for regulated markets. In the classic public blockchain model, any transaction is visible to everyone without exception: wallet balance, transaction size, counterparty. This is usually not critical for a retail transfer, but for a market maker or an institute it means revealing literally every bid and ask to competitors at the time of its issuance. The Dusk team explicitly writes in one of the latest materials that a market maker cannot physically work properly if his every application remains visible to the entire market forever, and I sign up to this with both hands after nine years in this profession.
Technically, this is solved through a combination of several elements. Zero-Knowledge Compliance, ZKC, allows a participant to prove compliance with regulatory requirements without disclosing personal data or details of a specific transaction, meaning AML and KYC take place without publicly releasing the entire wallet history. Private smart contracts give businesses the opportunity to issue securities, conduct calculations and corporate actions in a closed manner from prying eyes, but with the possibility of audit for the regulator upon request. And selective transparency from above allows the market participant himself to decide who exactly to show certain data to, instead of broadcasting them to all network nodes at once. 🔐
Separately, the Dusk article emphasizes that for Europe this is not just a convenient option, but a legal requirement.: GDPR has long set the standard for personal data protection, and MiCA forms a similar framework specifically for digital assets. A fully transparent public chain simply does not meet this requirement, so for exchanges, brokers and issuers from the EU, privacy turns from a pleasant bonus into a prerequisite for entering the market.

#bstockscis @BinanceCIS
According to Binance Research, tokenized stocks on days of heightened volatility trade around four times, and sometimes up to twenty-one times, faster than the underlying stock itself on a traditional exchange. The same notional dollar of capital in bStocks can turn over through the market several times more often than through a regular broker over the same period. The market is open around the clock, not just for a few hours on weekdays, which physically provides more time for trades. $SPCXB
The entry threshold is tiny thanks to fractional shares and settlement in stablecoins, meaning people enter and exit much more readily than when they have to accumulate the full price of a stock. The audience here is, on average, more crypto-native—accustomed to active intraday trading. For an algorithm, this is a crucial detail. High turnover means more executed orders in the same time window, which means it gets more frequent opportunities to capture the spread. But there is also a downside to this speed: at such a pace, the price can traverse the entire range and move beyond its boundaries much faster than with a less fast-turnover asset, and risk management must account for turnover speed together with spread width.

#dusk $DUSK @Dusk
Dusk Trade, an application on top of the main Dusk protocol. This is not just an interface for buying a token, but a layer that gathers into one stream what is usually scattered across different systems: searching for an asset, connecting a wallet, verifying access rights and disclosing information, the transaction itself, and coordinating between the asset and the payment so that both legs of the transaction are closed in concert, rather than separately. from each other.
Under the hood, this relies on multiple layers of the Dusk stack. DuskDS is responsible for calculations, finality, and data availability. DuskEVM provides a familiar runtime environment for those who write on Solidity. DuskVM executes smart contracts for Rust and WASM directly on L1.
Dusk Connect and the proprietary wallet extension are responsible for connecting the account to the application. The @Dusk team explicitly writes in its documentation that the complexity of a regulated asset is not in the token contract itself, but in who can own it, what can be disclosed publicly and what needs to be hidden, and how to reconcile the asset settlement with the money settlement.

#bstockscis @BinanceCIS
Tokenized shares of “glass” (trading tokens) on multiple venues for the same securities—Nvidia, Microsoft, Meta, and Tesla.
For Nvidia and Tesla, bStocks had the narrowest median spread between the best bid and ask prices among the venues being compared. For Microsoft and Meta, the competitor’s spread was slightly tighter; and more importantly for large orders, the order book depth turned out to be noticeably greater.
This detail says much more than any generic figures about trading volume. A narrow spread of $NVDAB and $TSLAB means the algorithm can operate more tightly here and doesn’t have to worry about slippage on entry. But for less liquid pairs like $METAB , you should allow for a somewhat larger buffer when estimating the width of price levels, because a large order can shift the price significantly if the depth beyond the first quote isn’t that impressive.
Honestly, it’s this unevenness that makes the product interesting for active trading, not boring. Different tickers behave differently, and part of my job is exactly to choose the right parameters for each instrument.

#dusk $DUSK @Dusk
Dusk is called a native issue. The @Dusk team describes this in three levels. Digitalization is simply the transfer of paper processes to digital without changing the very structure of the market, much like my paper passport for a Satellite turned into a file in the clinic registry, although the process around it remained the same.

Tokenization is the release of a token that represents an asset, while the asset itself and its accounting continue to live in the old system, and you have to constantly verify the token with the real registry manually. The native release works differently: the asset is created and maintained directly on the blockchain, the release, transfer, maintenance and calculations take place around the same ledger, without a wrapper on top of an external registry.

#bstockscis @BinanceCIS
In bStocks, there is a function to convert a token into a real share through a connected broker, and it works without any additional commission for the conversion itself. In essence, the token and the security at the broker are two sides of the same asset, between which you can freely switch depending on what matters more at the moment: speed and around-the-clock trading, or the rights of a full-fledged shareholder. The logic is simple. As long as $SPCXB —or any other bStock—is in your wallet, you can do with it the same things as with any other token: use it as collateral.
When the asset is intended to be held long-term and you want to get the status of a direct shareholder, the conversion is triggered: the token is burned, and a real share appears in the broker account. For an active trader who spends all day capturing spread via an algorithm, this function is more of a safety net for an extreme case than a tool for everyday use.
Keep in mind that conversion isn’t available instantly in the literal sense of seconds, but rather within the broker’s operating workflow, and it depends on jurisdiction and the user’s status.

#dusk $DUSK @Dusk
I am following DuskEVM and the Hedger module in its composition. DuskEVM is a Dusk execution layer compatible with the regular EVM stack: Solidity, Foundry, Hardhat, viem, ethers, and standard wallets operate unchanged in the new environment. Payment for gas is made in DUSK US dollars, and calculations and status data are recorded on DuskDS, the network consensus level and data availability.
The transaction first enters the DuskEVM sequencer, is included in the L2 block, then the butcher publishes the data to DuskDS, and state fixes and correctness proofs are formed there. Hedger is embedded in this stack as a privacy module for EVM. It combines ElGamal-based homomorphic encryption on top of elliptic curves with zk proofs and a hybrid UTXO/account model, so the balance and amounts remain encrypted but verifiable if necessary. For me, as a trader, the key detail is that Hedger is laying the foundation for the future launch of closed order books: orders that will no longer be visible to prying eyes, reducing the risk of manipulation and protecting participants from disclosing volume and intentions. Proofreading is generated directly in the browser in less than two seconds, so the delay does not interfere with trading. ⚙️

The infrastructure for regulated markets and the infrastructure for normal algorithmic trading actually require the same thing — transparent audit on request. Come to the stream in the evening, we will set up the algorithm for trading $DUSK

#bstockscis @BinanceCIS
Yesterday we executed $METAB trades—just excellent. And the trades were going through right during the stream while we were walking around the city holding a phone in hand. The algorithm performed exactly the way we planned: we entered on the pullback, collected the spread multiple times in a row through the price movement within the range, and there wasn’t a single moment of manual intervention. That’s exactly what these days are for—the algorithm is configured in advance for moments like this. 📈🎯
It’s also especially nice that all these trades are now visible directly in the stream widget; viewers watched the order execution in real time, not a retelling after the fact.
I also want to say a huge thanks for the big donation @mTmUA —by the way, it launched the “chenедж” to earn within a week; we’ll keep an eye on it.
These kinds of moments during the broadcast are always a pleasure 🙏
In this sense, Stocks are perfectly suited to the format of live trading. The maker commission is currently zero on all pairs until the end of August—we’ll keep going.

#dusk $DUSK @Dusk
I was seriously taken by the approach $DUSK .
Team @Dusk builds infrastructure where privacy and the ability to audit work together within a single protocol.
Technically, everything is set up like this. The Hedger module in DuskEVM combines homomorphic encryption with zk proofs, so the wallet balance and transaction amounts remain hidden from prying eyes, yet they are fully verifiable if verification is truly needed by a regulator, an auditor, or a counterparty.
At the same time, DuskEVM is compatible with Solidity thanks to the OP Stack architecture, so teams don’t have to rewrite existing DeFi protocols from scratch to move them onto private rails. In parallel, Zedger is being developed—a protocol for tokenizing real-world assets like stocks and bonds—and Hyperstaking already delivers about 12% annual returns with flexible staking-contract logic.
What’s most interesting here is that all of this already works in real deals, not just on the roadmap.

#bstockscis @BinanceCIS
$METAB is traded on bStocks since late June, and here the logic is the same as with the other positions: the token is backed by shares on a one-to-one basis, it trades around the clock, and while the zero maker fee is in effect until the end of August, it doesn’t eat into part of the profit.

The algorithm holds the position of $METAB with a fairly narrow step, and the price reacts to news about advertising revenues and AI infrastructure expenses almost instantly—even at night.
bStocks currently has more than fifty tickers, from semiconductors to media and the financial sector, so you can assemble a diversified basket without leaving a single app. Conversion between bStock and the underlying share at the broker happens instantly and with no commission, which is convenient if you suddenly need to move the position out of the tokenized format. The order book for the top tickers—like $TSLAB —has noticeably strengthened over the past few weeks.

I want to show you in a stream, using an example, how trading goes with a stroll around the festival—how this position behaves live: I trade and earn, just by walking around and enjoying myself. Optimize your work and enjoy life more. We’re on the way to success 🎪📱

#bstockscis @BinanceCIS
The first hour of trading on the US market, from half past nine to half past ten by New York time, is called the hunting hour. Overnight, orders pile up, along with reporting and reactions to the Asian and European sessions, and all of this at once pours into the order book at the moment the market opens. Large players know very well where retail traders’ stop-loss orders are usually placed—typically immediately beyond an obvious support or resistance level from the previous evening chart. The first minutes of trading are often used precisely to push the price there, trigger the stops, and then reverse to the opposite direction.
🎯 For bStocks, this picture becomes even more interesting. A tokenized share is traded all night with relatively calm liquidity, and at the moment the traditional exchange opens, the main volume enters the market all at once, forcing the price to rapidly adjust to the actual trading. It is precisely in this minute that the gap between where the asset had been sitting quietly overnight and where the newly opened main market is revaluing it can be especially sharp. For tickers like $TSLAB and $NVDAB , this first half hour is usually the noisiest of the entire day. 📉📈

Tomorrow on the stream we plan to trade $SPCXB Join the week’s streams.

#bstockscis @BinanceCIS
According to estimates, the price of bStocks on the weekends typically accounts for about 92% of the gap with which the underlying stock will open on Monday on a regular exchange. In other words, if something happens to the market on Saturday or Sunday—major news, earnings, geopolitics—the price of the tokenized share has already almost managed to digest it long before the start of classic trading. For an owner of an ordinary broker-held share, the weekend becomes a blind spot, while for a bStocks holder it’s more like a window that lets you see what will be happening on Monday. This doesn’t mean you should blindly guess the direction based on weekend moves alone; volatility during these hours is often higher than usual precisely because the order book is thinner. But it would also be wrong to ignore this signal—I try to at least check the bStocks price before I build a plan for the start of the week.
For those keeping an eye on the semiconductor sector, this is a separate reason to pay attention to $ASMLB and $SMCIB specifically on weekends, while the traditional exchange is asleep.

#bstockscis @BinanceCIS
The classic barrier to entering the stock market is familiar to many across the CIS firsthand. One Class A share costs hundreds of thousands of dollars; a Nvidia share or $AAPLB also requires a significant amount for a proper lot with a broker, and getting a brokerage account with access to the US market isn’t always easy without residency in the required country or without a large deposit.
bStocks removes exactly this barrier. The token is tied to a share on a one-to-one basis, but you can buy not a whole share, but a fraction of it—literally for any amount in USDT or USDC that’s available in your balance. Want to buy a piece for five dollars $NVDAB ? You can—no one forces you to pay the full price of the share all at once. For me, this is primarily a matter of flexibility in managing risk when choosing position sizing. Fractional ownership lets you fit the trade more precisely to a specific risk budget, without being locked to an integer number of shares. This level of precision is usually only available through contracts for difference or through funds, but here it works directly with the tokenized asset itself.