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AgentWXO
1.2k Posts

AgentWXO

Blend of technical and social expertise,holds degrees in Aeronautical Engineering and Sociology of Management. Avid streamer who loves connecting with audiences
Open Trade
BNB Holder
BNB Holder
Frequent Trader
8.6 Years
591 Following
22.0K+ Followers
7.9K+ Liked
Posts
Portfolio
PINNED
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I’m AgentWXO, trading using market-making and hedge-fund algorithms Direct access to my trades 👇⚡ 1️⃣ Go to the stream 2️⃣ Wait for the sound signal 3️⃣ See the trade — asset, direction, take-profit 4️⃣ Copy — earn 🎓 In the AgentWXO playlist: video lessons on learning to work with algorithms. Lesson 1. [Настройки LONG](https://www.binance.com/en/square/audio/replay?id=43478605002594) Lesson 2. [SHORT и HEDGE](https://www.binance.com/en/square/audio/replay?id=43529239865466) Lesson 3. HFT Lesson 4. LIQUIDATIONS 🏆 Join the club of algorithmic traders 🔥 Analyze Wait for the signal Copy Earn
I’m AgentWXO, trading using market-making and hedge-fund algorithms
Direct access to my trades 👇⚡
1️⃣ Go to the stream
2️⃣ Wait for the sound signal
3️⃣ See the trade — asset, direction, take-profit
4️⃣ Copy — earn
🎓 In the AgentWXO playlist: video lessons on learning to work with algorithms.
Lesson 1. Настройки LONG
Lesson 2. SHORT и HEDGE
Lesson 3. HFT
Lesson 4. LIQUIDATIONS
🏆 Join the club of algorithmic traders
🔥 Analyze Wait for the signal Copy Earn
See translation
⚡ Lesson 5: Algorithmic Scalping — trading AGAINST market maker algorithms I show how to find inefficient and set up a bot to take profit from someone else's algorithm 🎯 Inside: reading order flow with Bookmap, config setup (order amount $6, narrow spread, take profit up to 1%), pattern hunting in the trade tape, and a live example — +15% in 12 hours 📊 Full walkthrough from setup to a live trade — step by step. #algotrading #cryptotrading #HFT #trading #AgentWXO
⚡ Lesson 5: Algorithmic Scalping — trading AGAINST market maker algorithms

I show how to find inefficient and set up a bot to take profit from someone else's algorithm 🎯

Inside: reading order flow with Bookmap, config setup (order amount $6, narrow spread, take profit up to 1%), pattern hunting in the trade tape, and a live example — +15% in 12 hours 📊

Full walkthrough from setup to a live trade — step by step.

#algotrading #cryptotrading #HFT #trading #AgentWXO
⚡ Lesson 5: Algorithmic scalping — we trade AGAINST algorithms I show how to configure the bot so it takes profit from someone else’s algorithm 🎯 In the video: reading the order book via Bondar’s driver, configuration setup (order amount $6, tight spread, take profit up to 1%), finding patterns in the order flow, and a live example +15% in 12 hours 📊 I break down the entire process from preparation to a live trade — step by step. #HFT #algotrading #cryptotrading #BTC #AITrading
⚡ Lesson 5: Algorithmic scalping — we trade AGAINST algorithms
I show how to configure the bot so it takes profit from someone else’s algorithm
🎯 In the video: reading the order book via Bondar’s driver, configuration setup (order amount $6, tight spread, take profit up to 1%), finding patterns in the order flow, and a live example +15% in 12 hours
📊 I break down the entire process from preparation to a live trade — step by step.
#HFT #algotrading #cryptotrading #BTC #AITrading
Decided to test the Binance Agent OS in practice. 2 connection commands. 📊 I wrote a full daily trading report — real figures, real profit/loss 📈 Found the best trading pairs right now ⚡ Placed a limit order in real time — just ask, no terminal 📚 Documentation: https://developers.binance.com/en/docs/agent-native/overview #BinanceAgentOS #AITrading #Binance #CryptoTrading #AIAgent
Decided to test the Binance Agent OS in practice.
2 connection commands.
📊 I wrote a full daily trading report — real figures, real profit/loss
📈 Found the best trading pairs right now
⚡ Placed a limit order in real time — just ask, no terminal
📚 Documentation: https://developers.binance.com/en/docs/agent-native/overview
#BinanceAgentOS #AITrading #Binance #CryptoTrading #AIAgent
Verified
See translation
#dusk $DUSK @Dusk_Foundation I made trades on $DUSK using the algorithm, and they worked flawlessly 🎉🐾 For an algorithm that constantly submits orders, this means predictable execution. DuskEVM, Dusk's EVM-compatible execution layer, provides a familiar stack: Solidity, Foundry, Hardhat, Viem, and Ethers work seamlessly, gas is paid in $DUSK , and the final settlement is secured in DuskDS. DuskEVM includes a built-in privacy module, Hedger: homomorphic encryption over elliptic curves, plus zk-proofs and a hybrid UTXO/account model. Balances and amounts remain hidden from prying eyes, but are verifiable during audits when needed. Separately, the @Dusk_Foundation team is laying the groundwork for the future launch of obfuscated order books, meaning orders hidden from outside market participants.
#dusk $DUSK @Dusk
I made trades on $DUSK using the algorithm, and they worked flawlessly 🎉🐾 For an algorithm that constantly submits orders, this means predictable execution.
DuskEVM, Dusk's EVM-compatible execution layer, provides a familiar stack: Solidity, Foundry, Hardhat, Viem, and Ethers work seamlessly, gas is paid in $DUSK , and the final settlement is secured in DuskDS.
DuskEVM includes a built-in privacy module, Hedger: homomorphic encryption over elliptic curves, plus zk-proofs and a hybrid UTXO/account model. Balances and amounts remain hidden from prying eyes, but are verifiable during audits when needed.
Separately, the @Dusk team is laying the groundwork for the future launch of obfuscated order books, meaning orders hidden from outside market participants.
Congratulations! Very cool! This is an excellent result! I’m really very happy that you managed to complete this quest. The market has significantly picked up. I think this is only the beginning.
Congratulations! Very cool! This is an excellent result! I’m really very happy that you managed to complete this quest. The market has significantly picked up. I think this is only the beginning.
mTmUA
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Quest 30 000 $ in 7 days — completed.
First time. With time to spare.
+$30,805 +116.87 %
Thanks to family for the support.
We continue.
🇬🇧
30K in 7 days challenge — completed.
First time. With time left.
+$30,805 +116.87 %
Thanks to family for the support.
We continue.
🚨New threat to the entire cryptocurrency market 🔮 CSO at Binance was asked whether quantum computers can steal your cryptocurrencies. A Google study published in March quietly sent shockwaves through the industry: hacking Bitcoin and Ethereum has become 20 times cheaper — theoretically. #Bitcoin #QuantumComputing #CyberSecurity #Ethereum #AgentWXO
🚨New threat to the entire cryptocurrency market 🔮 CSO at Binance was asked whether quantum computers can steal your cryptocurrencies.

A Google study published in March quietly sent shockwaves through the industry: hacking Bitcoin and Ethereum has become 20 times cheaper — theoretically.

#Bitcoin #QuantumComputing #CyberSecurity #Ethereum #AgentWXO
#bstockscis @BinanceCIS Today I re-read my notes from the past few weeks and realized that I already have a fairly substantial history of observations on bStocks. It all started with a simple question: why does a crypto trader need a tokenized stock in the first place? 24/7 trading, entering with stablecoins without a broker account, fractional shares for any amount, and the ability to hold a position directly in your wallet instead of a separate broker account. This removed an entry barrier that for years prevented many people in the CIS from getting a proper exposure to US stocks. Then it turned out that the zero maker fee across all bStocks pairs changes not only convenience, but also the economics of algorithmic trading itself. This principle is exactly what most of the strategy for $SPCXB is based on right now. A separate discovery was the unevenness of liquidity between tickers. For some bStocks, the spread is the narrowest among the compared venues, while for others the order book depth is noticeably more modest. $METAB was traded last week right during the stream, while we were out and the viewers could see in real time how the algorithm was collecting the spread with not a single manual intervention.
#bstockscis @BinanceCIS
Today I re-read my notes from the past few weeks and realized that I already have a fairly substantial history of observations on bStocks.
It all started with a simple question: why does a crypto trader need a tokenized stock in the first place?
24/7 trading, entering with stablecoins without a broker account, fractional shares for any amount, and the ability to hold a position directly in your wallet instead of a separate broker account. This removed an entry barrier that for years prevented many people in the CIS from getting a proper exposure to US stocks.
Then it turned out that the zero maker fee across all bStocks pairs changes not only convenience, but also the economics of algorithmic trading itself. This principle is exactly what most of the strategy for $SPCXB is based on right now.
A separate discovery was the unevenness of liquidity between tickers. For some bStocks, the spread is the narrowest among the compared venues, while for others the order book depth is noticeably more modest. $METAB was traded last week right during the stream, while we were out and the viewers could see in real time how the algorithm was collecting the spread with not a single manual intervention.
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Bullish
Verified
See translation
#dusk $DUSK @Dusk_Foundation 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.
#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.
#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.
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