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Current market structure is mixed. ETH is trading around a major psychological zone near $2,000, while traders are watching whether buyers can reclaim higher resistance levels.
Key Levels
Support: $1,950 → $1,880
Major support: $1,840
Resistance: $2,100 → $2,200
Major breakout zone: $2,460 → $2,500
If You Are Bullish (Long)
Wait for:
1. Reclaim of $2,100–$2,200.
2. Strong volume confirmation.
3. Bitcoin remaining stable or bullish.
Targets:
TP1: $2,300
TP2: $2,460
TP3: $2,500+
If You Are Bearish (Short)
Watch for:
1. Rejection from resistance.
2. Breakdown below $1,950.
Targets:
TP1: $1,880
TP2: $1,840
Extreme bearish scenario: lower levels if crypto market sentiment worsens.
Spot Traders
Current zone is better suited for:
Gradual accumulation (DCA).
Avoiding large all-in entries.
Keeping cash available if ETH revisits lower supports.
Whale accumulation has increased recently despite weak price action, which is one reason some traders remain constructive on ETH longer term.
Futures Traders
Use lower leverage.
Risk no more than 1–2% of account per trade.
Avoid opening positions directly in the middle of the range ($1,950–$2,200).
Trade confirmed breakouts or confirmed rejections.
#ETH $ETH
Key Levels
Support: $1,950 → $1,880
Major support: $1,840
Resistance: $2,100 → $2,200
Major breakout zone: $2,460 → $2,500
If You Are Bullish (Long)
Wait for:
1. Reclaim of $2,100–$2,200.
2. Strong volume confirmation.
3. Bitcoin remaining stable or bullish.
Targets:
TP1: $2,300
TP2: $2,460
TP3: $2,500+
If You Are Bearish (Short)
Watch for:
1. Rejection from resistance.
2. Breakdown below $1,950.
Targets:
TP1: $1,880
TP2: $1,840
Extreme bearish scenario: lower levels if crypto market sentiment worsens.
Spot Traders
Current zone is better suited for:
Gradual accumulation (DCA).
Avoiding large all-in entries.
Keeping cash available if ETH revisits lower supports.
Whale accumulation has increased recently despite weak price action, which is one reason some traders remain constructive on ETH longer term.
Futures Traders
Use lower leverage.
Risk no more than 1–2% of account per trade.
Avoid opening positions directly in the middle of the range ($1,950–$2,200).
Trade confirmed breakouts or confirmed rejections.
#ETH $ETH
Binance paplašina darbību ASV akciju tirdzniecībā globālajiem lietotājiem
Krypto birža Binance veic nozīmīgu soli, pārejot pāri digitālajiem aktīviem, uzsākot ASV akciju un ETF tirdzniecību lietotājiem ārpus Amerikas Savienotajām Valstīm. Šis solis ļauj kvalificētiem klientiem tieši piekļūt tradicionālajiem finanšu tirgiem caur Binance platformu, apvienojot kriptovalūtu un akciju investēšanu vienā ekosistēmā.
Paplašināšanās atspoguļo pieaugošu tendenci starp kripto uzņēmumiem, kas cenšas pārvarēt plaisu starp digitālajiem aktīviem un tradicionālo finansēm. Piedāvājot piekļuvi ASV akcijām līdzās kriptovalūtām, Binance mērķis ir nodrošināt investoriem plašāku investīciju iespēju klāstu, nepametot savu platformu.
Lai gan pakalpojums sākotnēji ir vērsts uz lietotājiem ārpus ASV, uzsākšana var stiprināt Binance pozīciju kā globālu finanšu platformu un paātrināt blokķēdes tehnoloģijas pieņemšanu tradicionālo investīciju produktu piekļuvei.
#TOKENIZED $BNB $BTC
Krypto birža Binance veic nozīmīgu soli, pārejot pāri digitālajiem aktīviem, uzsākot ASV akciju un ETF tirdzniecību lietotājiem ārpus Amerikas Savienotajām Valstīm. Šis solis ļauj kvalificētiem klientiem tieši piekļūt tradicionālajiem finanšu tirgiem caur Binance platformu, apvienojot kriptovalūtu un akciju investēšanu vienā ekosistēmā.
Paplašināšanās atspoguļo pieaugošu tendenci starp kripto uzņēmumiem, kas cenšas pārvarēt plaisu starp digitālajiem aktīviem un tradicionālo finansēm. Piedāvājot piekļuvi ASV akcijām līdzās kriptovalūtām, Binance mērķis ir nodrošināt investoriem plašāku investīciju iespēju klāstu, nepametot savu platformu.
Lai gan pakalpojums sākotnēji ir vērsts uz lietotājiem ārpus ASV, uzsākšana var stiprināt Binance pozīciju kā globālu finanšu platformu un paātrināt blokķēdes tehnoloģijas pieņemšanu tradicionālo investīciju produktu piekļuvei.
#TOKENIZED $BNB $BTC
#BinanceTurns8 Pievienojieties mums #BinanceTurns8 svinībās un laimējiet daļu līdz $888,888 BNB! https://www.binance.com/activity/binance-turns-8?ref=GRO_19600_WS394
Es domāju, ka tā ir lieliska pasākums #BinanceTurns8 $BTC $ETH
Es domāju, ka tā ir lieliska pasākums #BinanceTurns8 $BTC $ETH
#BinanceTurns8 Pievienojieties mums #BinanceTurns8 svinībās un laimējiet daļu līdz $888,888 BNB! https://www.binance.com/activity/binance-turns-8?ref=GRO_19600_WS394
Binance Square Official
·
--
Paredziet BTC cenu 20. aprīlī 00:00 (UTC+0), lai laimētu līdz pat $10000 SATS žetonu!
Lai atzīmētu šo Bitcoin Halving pavērsienu, visi pārbaudītie lietotāji var veikt konkrētus uzdevumus Binance laukumā aktivitātes perioda laikā un pretendēt uz SATS marķiera kupona atlīdzību līdz USD 10 000. Darbības periods: 2024-03-04 09:00 (UTC) līdz 2024-04-14 09:00 (UTC)Visi KYC verificētie Binance lietotāji, kuri piesakās savos Binance kontos un izpilda tālāk norādītos uzdevumus darbības perioda laikā, varēs saņemt $10 000 SATS atlīdzība. Uzdevumi: Komentējiet šajā ziņā savu prognozi par BTC cenu 20. aprīlī plkst. 00:00 (UTC+0). Kopīgojiet šo ziņu savos sociālajos medijos un#HalvingHorizonsLietotājs ar vistuvāko prognozi laimēs $5000. Ja vairāk nekā vienam lietotājam ir viena un tā pati prognoze, jūs dalīsit cenu kopumu. Un, ja jūs pareizi uzminējāt cenu un aktivitātes periodā reģistrējāties Binance kontam, izmantojot šīs ziņas kopīgoto saiti vai numuru Binance Square referral link, varat atbloķēt daļu no papildu $ 2000 cenu kopasUnJa pareizi uzminējāt cenu un pabeidzāt vismaz 10 darījumus aktivitātes periodā, jūs atbloķēsit daļu no papildu $3000 cenu kopasKatrs lietotājs var iesniegt tikai 1 ierakstu. Noteikumi un nosacījumi Šī darbība var nebūt pieejama jūsu reģionā. Atbilstīgajiem lietotājiem ir jāpiesakās savos verificētajos Binance kontos, veicot uzdevumus darbības periodā, lai kvalificētos. SATS marķiera kuponu atlīdzības fonds $ 10 000 apmērā tiks sadalīts vienādi starp visiem kvalificētajiem lietotājiem. Uzvarētāji tiks informēti, izmantojot informatīvo paziņojumu sadaļā Creator. Centrs > Square Assistant. Kuponu balvas tiks sadalītas 21 darba dienas laikā pēc aktivitātes beigām. Lietotāji var pārbaudīt savus kuponu atlīdzības, izmantojot Profils > Rewards Hub. Kupona derīguma termiņš ir septiņas dienas no izplatīšanas dienas. Uzziniet, kā izpirkt kuponu. Nelikumīgi lielapjoma reģistrēti konti vai apakškonti nevar piedalīties vai saņemt atlīdzības. Binance patur tiesības atcelt lietotāja tiesības veikt šo darbību, ja konts ir iesaistīts jebkādā darbībā, kas pārkāpj Binance Square kopienas pārvaldības vadlīnijas vai Binance Square kopienas platformas noteikumus un nosacījumus.Binance patur tiesības jebkurā laikā pēc saviem ieskatiem bez iepriekšēja brīdinājuma noteikt un/vai grozīt vai mainīt šos noteikumus un nosacījumus, tostarp, bet ne tikai, šīs aktivitātes atcelšanu, pagarināšanu, izbeigšanu vai apturēšanu, atbilstības nosacījumus un kritērijus, uzvarētāju atlase un skaits, kā arī jebkuras veicamās darbības laiks, un šie grozījumi ir saistoši visiem dalībniekiem.Binance patur tiesības uz šīs aktivitātes galīgo interpretāciju.Papildu veicināšanas noteikumiem un nosacījumiem var piekļūt šeit.Var būt var būt neatbilstības šī oriģinālā raksta tulkotajā versijā angļu valodā. Lūdzu, skatiet šo sākotnējo versiju, lai iegūtu jaunāko vai precīzāko informāciju, ja var rasties neatbilstības.
forši
Binance Academy
·
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Understanding Matching Engines in Trading
Key Takeaways
A matching engine is the core software of a financial exchange that pairs buy and sell orders in real time based on predefined rules, enabling trades to be executed automatically.
Matching engines operate on a central limit order book (CLOB), recording all open orders and matching them when compatible bids and asks meet at the same price.
Common order-matching algorithms include FIFO (first-in, first-out), Pro-Rata, and TWAP, each defining how the engine prioritizes and executes orders.
Centralized matching engines offer high speed and throughput, while decentralized engines prioritize resilience and censorship resistance, with trade-offs in each approach.
Efficient matching engines contribute to fair trade execution, market liquidity, and a more responsive trading environment for all participants.
What Is a Matching Engine?
A matching engine is a sophisticated software system that brings together buyers and sellers in financial markets. It serves as the operational core of an exchange, connecting parties who want to buy an asset with those looking to sell it, and vice versa. Its primary function is to execute trades quickly, accurately, and impartially, creating a level playing field for all market participants.
Matching Engines vs. Traditional Methods
In the past, trading and order matching relied heavily on phone calls and manual processes. These methods were time-consuming and prone to human error. Modern matching engines have replaced these manual workflows with automated systems capable of processing large volumes of orders in milliseconds, improving both speed and consistency of trade execution.
How Does a Matching Engine Work?
When a trader submits a buy or sell order, the exchange records it in a data structure called the central limit order book (CLOB). The order book lists all open orders sorted by price: the best bids (highest buy prices) and the best asks (lowest sell prices) are displayed at the top.
The matching engine continuously scans the order book for compatible orders. A match occurs when a buy order's price is equal to or higher than a sell order's price. When a match is found, the trade is executed automatically. If an incoming order is only partially matched by available orders on the other side, it can be partially filled, with the remaining quantity staying in the order book until additional matching orders arrive.
The engine follows predefined rules to determine which orders take priority. One of the most common is price-time priority: orders with the best price are matched first, and among orders at the same price, the one submitted earliest takes precedence. Different exchanges may apply additional or alternative priority rules based on their design.
Order Matching Algorithms
Order matching algorithms define how a matching engine decides which orders to execute and in what sequence. Common examples include:
First-in, first-out (FIFO)
Also known as "first-come, first-served" (FCFS), FIFO is the most widely used algorithm. It prioritizes limit orders based on their price and the time they were submitted. When multiple orders exist at the same price, the order that arrived first is matched first, ensuring consistent and predictable execution.
Pro-Rata
The Pro-Rata algorithm allocates fills proportionally based on order size. When multiple orders sit at the same price level, the engine distributes available liquidity across them in proportion to each order's quantity, rather than serving them sequentially. This approach tends to favor larger orders.
Time-Weighted Average Price (TWAP)
TWAP-based algorithms execute large orders gradually over a specified time window, targeting the average market price across that period. By splitting a large order into smaller executions, TWAP algorithms can reduce the price impact that a single large trade might otherwise have on the market.
Types of Matching Engines
Centralized matching engine
Centralized matching engines operate on a single central server controlled by the exchange. They offer high speed and throughput, making them well-suited to high-volume trading platforms where rapid order matching is critical. Major centralized exchanges (CEXs) use this architecture to process millions of orders per day.
Decentralized matching engine
Decentralized matching engines operate across a peer-to-peer network rather than a central server. A decentralized exchange (DEX) typically uses this approach, distributing order processing across multiple nodes. This design offers greater resilience against single points of failure or attack, though it may involve trade-offs in execution speed compared to centralized alternatives.
Hybrid models
A growing number of platforms combine order-book matching with automated market maker (AMM) mechanics. In these hybrid systems, the matching engine handles traditional order types while AMM liquidity pools provide additional depth for trades that cannot be filled through the order book alone. This approach aims to combine the price efficiency of a CLOB with the continuous liquidity of an AMM.
Choosing the Right Matching Engine
Speed
For platforms with high trading volumes, centralized engines offer faster order matching due to their single-server architecture. Decentralized engines distribute processing across a network, which can introduce additional latency. The right choice depends on whether speed or resilience is the higher priority for a given platform.
Security
A centralized engine introduces a single point of failure: if the central server is compromised or goes offline, trading can be disrupted. Decentralized engines spread this risk across many nodes, reducing the impact of any individual failure. Understanding the trade-offs between CEX and DEX architectures can help users evaluate which type of platform suits their needs.
Fees
Centralized engines typically incur higher infrastructure costs, which exchanges may pass on to users through trading fees. Decentralized engines, operating on shared network infrastructure, can offer lower fee structures, though on-chain transaction costs may apply depending on the network.
Why Matching Engines Matter
Efficient order execution
A well-designed matching engine processes orders rapidly, which is important in markets where prices can change within milliseconds. Fast, reliable execution reduces the risk of slippage and ensures traders receive prices close to their intended entry or exit points.
Fairness and transparency
Because matching engines apply predefined rules consistently, all participants are subject to the same priority logic. This algorithmic approach reduces the potential for favoritism or manual interference, supporting a fairer trading environment.
Market liquidity
By continuously connecting buyers and sellers, matching engines help sustain market liquidity. Higher liquidity generally leads to tighter bid-ask spreads and more stable prices, benefiting traders on both sides of a transaction.
FAQ
What is a matching engine in trading?
A matching engine is the core software system that exchanges use to pair buy and sell orders. When a compatible bid and ask are found in the order book, the matching engine executes the trade automatically, without the need for manual intervention. It applies predefined rules to determine which orders are matched first.
How does a matching engine determine order priority?
Most matching engines use price-time priority: orders offering the best price are executed first, and when multiple orders share the same price, the one submitted earliest takes precedence. Other algorithms, such as Pro-Rata, distribute fills proportionally by order size. Exchanges may also use stop-limit orders and other advanced order types that interact with the matching engine in different ways.
What is the difference between a centralized and decentralized matching engine?
A centralized matching engine runs on a single server controlled by the exchange, offering high speed but a single point of failure. A decentralized matching engine distributes processing across a peer-to-peer network, improving resilience at the cost of some execution speed. Many decentralized exchanges (DEX) use decentralized or hybrid matching models. For a broader comparison, see the differences between a CEX and DEX.
What is FIFO in a matching engine?
FIFO stands for "first-in, first-out." In a FIFO matching engine, orders at the same price level are filled in the order they were received: the oldest order is matched first. This approach is widely used because it rewards early order placement and is straightforward to understand. Most major centralized exchanges use FIFO as the default or primary matching rule.
How do matching engines relate to technical analysis?
Matching engines determine how orders are filled, which directly shapes the price data that traders analyze. Understanding order book dynamics, such as how large orders are absorbed or cause price movement, can complement technical analysis by giving traders a clearer picture of the supply and demand forces behind price charts.
Closing Thoughts
Matching engines operate largely out of sight, yet they underpin every trade executed on a financial exchange. By automatically pairing compatible orders according to consistent rules, they enable speed, fairness, and efficiency in markets that process millions of transactions each day. As exchanges continue to evolve, matching engine technology is also advancing, with hybrid models and improved latency handling becoming increasingly common in both traditional and crypto markets.
Further Reading
What Is an Order Book and How Does It Work?
What Is an Automated Market Maker (AMM)?
What Is a Decentralized Exchange (DEX)?
What's the Difference Between a CEX and a DEX?
Disclaimer: This content is presented to you on an "as is" basis for general information and educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal, or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third-party contributor, please note that those views expressed belong to the third-party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.
A matching engine is the core software of a financial exchange that pairs buy and sell orders in real time based on predefined rules, enabling trades to be executed automatically.
Matching engines operate on a central limit order book (CLOB), recording all open orders and matching them when compatible bids and asks meet at the same price.
Common order-matching algorithms include FIFO (first-in, first-out), Pro-Rata, and TWAP, each defining how the engine prioritizes and executes orders.
Centralized matching engines offer high speed and throughput, while decentralized engines prioritize resilience and censorship resistance, with trade-offs in each approach.
Efficient matching engines contribute to fair trade execution, market liquidity, and a more responsive trading environment for all participants.
What Is a Matching Engine?
A matching engine is a sophisticated software system that brings together buyers and sellers in financial markets. It serves as the operational core of an exchange, connecting parties who want to buy an asset with those looking to sell it, and vice versa. Its primary function is to execute trades quickly, accurately, and impartially, creating a level playing field for all market participants.
Matching Engines vs. Traditional Methods
In the past, trading and order matching relied heavily on phone calls and manual processes. These methods were time-consuming and prone to human error. Modern matching engines have replaced these manual workflows with automated systems capable of processing large volumes of orders in milliseconds, improving both speed and consistency of trade execution.
How Does a Matching Engine Work?
When a trader submits a buy or sell order, the exchange records it in a data structure called the central limit order book (CLOB). The order book lists all open orders sorted by price: the best bids (highest buy prices) and the best asks (lowest sell prices) are displayed at the top.
The matching engine continuously scans the order book for compatible orders. A match occurs when a buy order's price is equal to or higher than a sell order's price. When a match is found, the trade is executed automatically. If an incoming order is only partially matched by available orders on the other side, it can be partially filled, with the remaining quantity staying in the order book until additional matching orders arrive.
The engine follows predefined rules to determine which orders take priority. One of the most common is price-time priority: orders with the best price are matched first, and among orders at the same price, the one submitted earliest takes precedence. Different exchanges may apply additional or alternative priority rules based on their design.
Order Matching Algorithms
Order matching algorithms define how a matching engine decides which orders to execute and in what sequence. Common examples include:
First-in, first-out (FIFO)
Also known as "first-come, first-served" (FCFS), FIFO is the most widely used algorithm. It prioritizes limit orders based on their price and the time they were submitted. When multiple orders exist at the same price, the order that arrived first is matched first, ensuring consistent and predictable execution.
Pro-Rata
The Pro-Rata algorithm allocates fills proportionally based on order size. When multiple orders sit at the same price level, the engine distributes available liquidity across them in proportion to each order's quantity, rather than serving them sequentially. This approach tends to favor larger orders.
Time-Weighted Average Price (TWAP)
TWAP-based algorithms execute large orders gradually over a specified time window, targeting the average market price across that period. By splitting a large order into smaller executions, TWAP algorithms can reduce the price impact that a single large trade might otherwise have on the market.
Types of Matching Engines
Centralized matching engine
Centralized matching engines operate on a single central server controlled by the exchange. They offer high speed and throughput, making them well-suited to high-volume trading platforms where rapid order matching is critical. Major centralized exchanges (CEXs) use this architecture to process millions of orders per day.
Decentralized matching engine
Decentralized matching engines operate across a peer-to-peer network rather than a central server. A decentralized exchange (DEX) typically uses this approach, distributing order processing across multiple nodes. This design offers greater resilience against single points of failure or attack, though it may involve trade-offs in execution speed compared to centralized alternatives.
Hybrid models
A growing number of platforms combine order-book matching with automated market maker (AMM) mechanics. In these hybrid systems, the matching engine handles traditional order types while AMM liquidity pools provide additional depth for trades that cannot be filled through the order book alone. This approach aims to combine the price efficiency of a CLOB with the continuous liquidity of an AMM.
Choosing the Right Matching Engine
Speed
For platforms with high trading volumes, centralized engines offer faster order matching due to their single-server architecture. Decentralized engines distribute processing across a network, which can introduce additional latency. The right choice depends on whether speed or resilience is the higher priority for a given platform.
Security
A centralized engine introduces a single point of failure: if the central server is compromised or goes offline, trading can be disrupted. Decentralized engines spread this risk across many nodes, reducing the impact of any individual failure. Understanding the trade-offs between CEX and DEX architectures can help users evaluate which type of platform suits their needs.
Fees
Centralized engines typically incur higher infrastructure costs, which exchanges may pass on to users through trading fees. Decentralized engines, operating on shared network infrastructure, can offer lower fee structures, though on-chain transaction costs may apply depending on the network.
Why Matching Engines Matter
Efficient order execution
A well-designed matching engine processes orders rapidly, which is important in markets where prices can change within milliseconds. Fast, reliable execution reduces the risk of slippage and ensures traders receive prices close to their intended entry or exit points.
Fairness and transparency
Because matching engines apply predefined rules consistently, all participants are subject to the same priority logic. This algorithmic approach reduces the potential for favoritism or manual interference, supporting a fairer trading environment.
Market liquidity
By continuously connecting buyers and sellers, matching engines help sustain market liquidity. Higher liquidity generally leads to tighter bid-ask spreads and more stable prices, benefiting traders on both sides of a transaction.
FAQ
What is a matching engine in trading?
A matching engine is the core software system that exchanges use to pair buy and sell orders. When a compatible bid and ask are found in the order book, the matching engine executes the trade automatically, without the need for manual intervention. It applies predefined rules to determine which orders are matched first.
How does a matching engine determine order priority?
Most matching engines use price-time priority: orders offering the best price are executed first, and when multiple orders share the same price, the one submitted earliest takes precedence. Other algorithms, such as Pro-Rata, distribute fills proportionally by order size. Exchanges may also use stop-limit orders and other advanced order types that interact with the matching engine in different ways.
What is the difference between a centralized and decentralized matching engine?
A centralized matching engine runs on a single server controlled by the exchange, offering high speed but a single point of failure. A decentralized matching engine distributes processing across a peer-to-peer network, improving resilience at the cost of some execution speed. Many decentralized exchanges (DEX) use decentralized or hybrid matching models. For a broader comparison, see the differences between a CEX and DEX.
What is FIFO in a matching engine?
FIFO stands for "first-in, first-out." In a FIFO matching engine, orders at the same price level are filled in the order they were received: the oldest order is matched first. This approach is widely used because it rewards early order placement and is straightforward to understand. Most major centralized exchanges use FIFO as the default or primary matching rule.
How do matching engines relate to technical analysis?
Matching engines determine how orders are filled, which directly shapes the price data that traders analyze. Understanding order book dynamics, such as how large orders are absorbed or cause price movement, can complement technical analysis by giving traders a clearer picture of the supply and demand forces behind price charts.
Closing Thoughts
Matching engines operate largely out of sight, yet they underpin every trade executed on a financial exchange. By automatically pairing compatible orders according to consistent rules, they enable speed, fairness, and efficiency in markets that process millions of transactions each day. As exchanges continue to evolve, matching engine technology is also advancing, with hybrid models and improved latency handling becoming increasingly common in both traditional and crypto markets.
Further Reading
What Is an Order Book and How Does It Work?
What Is an Automated Market Maker (AMM)?
What Is a Decentralized Exchange (DEX)?
What's the Difference Between a CEX and a DEX?
Disclaimer: This content is presented to you on an "as is" basis for general information and educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal, or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third-party contributor, please note that those views expressed belong to the third-party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.
Binance Square Official
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Mēs dāvinām $ 150 000 USD BNB, lai īstenotu jūsu Ziemassvētku vēlmes 🎅
Seši no jums var laimēt katrs 25 000 $, un šādi:
🔸 Sekojiet mums @Binance_Square_Official vietnē Binance Square
🔸 Citējiet šo ziņu, dalieties savā vēlmē ar#BinanceWishun piemini savā ierakstā 2 draugus.
Mēs izvēlēsimies 6, lai laimētu visās mūsu platformās, un divi laimīgie tiks izvēlēti no Binance Square, tāpēc domājiet lielā mērā un esiet radošs!
Atrodiet T&C un sīkāku informāciju par to, kā pieteikties 👉🏻
BinanceWish Announcement
Seši no jums var laimēt katrs 25 000 $, un šādi:
🔸 Sekojiet mums @Binance_Square_Official vietnē Binance Square
🔸 Citējiet šo ziņu, dalieties savā vēlmē ar#BinanceWishun piemini savā ierakstā 2 draugus.
Mēs izvēlēsimies 6, lai laimētu visās mūsu platformās, un divi laimīgie tiks izvēlēti no Binance Square, tāpēc domājiet lielā mērā un esiet radošs!
Atrodiet T&C un sīkāku informāciju par to, kā pieteikties 👉🏻
BinanceWish Announcement
Vai zinājāt, ka Tether var iesaldēt jūsu USDT monētas?
Tether noteikti spēj kontrolēt jūsu USDT, ja nepieciešams. Uzņēmums pēc vēlēšanās var iesaldēt, iznīcināt vai pat atcelt USDT darījumus un līdzekļus.
Piesiešana var iesaldēt un atcelt darījumus USDT, kas izdoti Ethereum un TRON blokķēdēs.
Lielākajai daļai citu stabilo monētu ir arī zināma kontrole pār lietotāju darījumiem, parasti regulējošu iemeslu dēļ.
Piesiešana apvērš novirzošo darījumu
Kāds lietotājs nosūtīja USDT 1 miljona dolāru vērtībā DeFi platformai Swerve. Taču lietotājs zaudēja piekļuvi līdzekļiem un sāka lūgt palīdzību naudas atgūšanai. Tether Paolo Ardoino izpilddirektors varēja viegli atcelt darījumu, izmantojot viedos līgumus.
Lai gan Tether nevar pārvietot USDT no citiem cilvēkiem, viņi spēj iesaldēt, iznīcināt, izdot un nosūtīt žetonus. Tādā veidā viņi spēj kontrolēt pasaulē lielākās stabilās monētas piegādi.
Pārsteidzoši ir tas, ka šī nav pirmā reize, kad Tether palīdz lietotājiem atgūt līdzekļus. Tas varēja palīdzēt 12 lietotājiem atgūt savus līdzekļus. Šogad ir atgūti aptuveni USD 5 miljoni USD, kas liecina, ka Tether tīklā ir liela jauda, un tas noteikti var kontrolēt piegādi un tirgū izlaistās monētas.
Arī citas stabilas monētas, piemēram, Gemini USD (GUSD) vai USD Coin (USDC), var kontrolēt lietotāju līdzekļus. Tomēr viņiem var būt grūtāk nekā Tether. Tikmēr TrueUSD (TUSD) var arī iesaldēt lietotāju līdzekļus.
Šīs stabilajās monētās atrodamās funkcijas tika izveidotas, lai palīdzētu uzņēmumiem nodrošināt atbilstību finanšu regulatoriem visā pasaulē, kā arī izpildītu tiesībaizsardzības iestāžu prasības. Ņemot vērā, ka uzņēmumiem, kas atrodas aiz šīm stabilajām monētām, ir jāatbilst varas iestādēm, tiem ir jābūt iespējai kontrolēt līdzekļus, ko tie emitējuši un laisti tirgū.
Ir vērts pieminēt, ka Tether vairākas reizes ir apsūdzēts par kriptovalūtu tirgus pumpēšanu.
Tether noteikti spēj kontrolēt jūsu USDT, ja nepieciešams. Uzņēmums pēc vēlēšanās var iesaldēt, iznīcināt vai pat atcelt USDT darījumus un līdzekļus.
Piesiešana var iesaldēt un atcelt darījumus USDT, kas izdoti Ethereum un TRON blokķēdēs.
Lielākajai daļai citu stabilo monētu ir arī zināma kontrole pār lietotāju darījumiem, parasti regulējošu iemeslu dēļ.
Piesiešana apvērš novirzošo darījumu
Kāds lietotājs nosūtīja USDT 1 miljona dolāru vērtībā DeFi platformai Swerve. Taču lietotājs zaudēja piekļuvi līdzekļiem un sāka lūgt palīdzību naudas atgūšanai. Tether Paolo Ardoino izpilddirektors varēja viegli atcelt darījumu, izmantojot viedos līgumus.
Lai gan Tether nevar pārvietot USDT no citiem cilvēkiem, viņi spēj iesaldēt, iznīcināt, izdot un nosūtīt žetonus. Tādā veidā viņi spēj kontrolēt pasaulē lielākās stabilās monētas piegādi.
Pārsteidzoši ir tas, ka šī nav pirmā reize, kad Tether palīdz lietotājiem atgūt līdzekļus. Tas varēja palīdzēt 12 lietotājiem atgūt savus līdzekļus. Šogad ir atgūti aptuveni USD 5 miljoni USD, kas liecina, ka Tether tīklā ir liela jauda, un tas noteikti var kontrolēt piegādi un tirgū izlaistās monētas.
Arī citas stabilas monētas, piemēram, Gemini USD (GUSD) vai USD Coin (USDC), var kontrolēt lietotāju līdzekļus. Tomēr viņiem var būt grūtāk nekā Tether. Tikmēr TrueUSD (TUSD) var arī iesaldēt lietotāju līdzekļus.
Šīs stabilajās monētās atrodamās funkcijas tika izveidotas, lai palīdzētu uzņēmumiem nodrošināt atbilstību finanšu regulatoriem visā pasaulē, kā arī izpildītu tiesībaizsardzības iestāžu prasības. Ņemot vērā, ka uzņēmumiem, kas atrodas aiz šīm stabilajām monētām, ir jāatbilst varas iestādēm, tiem ir jābūt iespējai kontrolēt līdzekļus, ko tie emitējuši un laisti tirgū.
Ir vērts pieminēt, ka Tether vairākas reizes ir apsūdzēts par kriptovalūtu tirgus pumpēšanu.
Ko jūs zināt par privātuma monētām?
Privātuma monētas ir kriptovalūtas, kas saglabā anonimitāti, aizsedzot naudas plūsmu savos tīklos. Tie apgrūtina noskaidrot, kurš un kam ko ir nosūtījis – tas ir noderīgi, ja nevēlaties, lai kāds slaucītu jūsu finansiālo darbību.
Noņemiet privātuma saglabāšanas tehnoloģiju, un privātuma monētas izskatās diezgan līdzīgas tādām monētām kā bitcoin. Tie darbojas blokķēdēs — decentralizētās virsgrāmatās — un tos uztur anonīmu pārbaudītāju tīkls. Taču tieši uzlabotās privātuma metodes atšķir privātuma monētas no pārējās pakotnes. Lielākās privātuma monētas pēc tirgus kapitalizācijas ir Zcash un Monero.
$DASH
Dash sākotnēji sāka savu darbību kā uz privātumu vērsta monēta ar nosaukumu “Darkcoin”, taču 2015. gadā tika mainīts zīmols un tā vietā tika izvēlēts koncentrēties uz digitālajiem maksājumiem. Lai gan projekts lepojas ar savu firmas monētu pievienošanas funkciju, izpilddirektors Raiens Teilors apgalvo, ka Dash nav jāuztver kā privātuma monēta.
$XMR
Monero ir viena no vienīgajām privātuma monētām, kas pēc noklusējuma ir privāta. Atšķirībā no Zcash, jūs nevarat izslēgt tās privātuma funkcijas. Lai slēptu darījuma datus, Monero izmanto vienreizējas „slēptās adreses” katram darījumam; “zvana paraksti”, kas grupē oriģinālos darījumus ar veciem “mānekļa” darījumiem, lai būtu grūti noskaidrot, kurš darījums ir likumīgs, un “ringCT”, kas slēpj darījumā nosūtīto Monero summu.
$ZEC
Zcash ir privātuma monēta, kas ļauj veikt arī caurspīdīgus darījumus. Privātajos darījumos tiek izmantoti nulles zināšanu pierādījumi: matemātisku aprēķinu veids, kas signalizē tīklam, ka kaut kas noteikti ir patiess, piemēram, darījuma derīgums, nepublicējot papildu informāciju par šo darījumu, piemēram, adreses un darījumu summas.
Privātuma monētas ir kriptovalūtas, kas saglabā anonimitāti, aizsedzot naudas plūsmu savos tīklos. Tie apgrūtina noskaidrot, kurš un kam ko ir nosūtījis – tas ir noderīgi, ja nevēlaties, lai kāds slaucītu jūsu finansiālo darbību.
Noņemiet privātuma saglabāšanas tehnoloģiju, un privātuma monētas izskatās diezgan līdzīgas tādām monētām kā bitcoin. Tie darbojas blokķēdēs — decentralizētās virsgrāmatās — un tos uztur anonīmu pārbaudītāju tīkls. Taču tieši uzlabotās privātuma metodes atšķir privātuma monētas no pārējās pakotnes. Lielākās privātuma monētas pēc tirgus kapitalizācijas ir Zcash un Monero.
$DASH
Dash sākotnēji sāka savu darbību kā uz privātumu vērsta monēta ar nosaukumu “Darkcoin”, taču 2015. gadā tika mainīts zīmols un tā vietā tika izvēlēts koncentrēties uz digitālajiem maksājumiem. Lai gan projekts lepojas ar savu firmas monētu pievienošanas funkciju, izpilddirektors Raiens Teilors apgalvo, ka Dash nav jāuztver kā privātuma monēta.
$XMR
Monero ir viena no vienīgajām privātuma monētām, kas pēc noklusējuma ir privāta. Atšķirībā no Zcash, jūs nevarat izslēgt tās privātuma funkcijas. Lai slēptu darījuma datus, Monero izmanto vienreizējas „slēptās adreses” katram darījumam; “zvana paraksti”, kas grupē oriģinālos darījumus ar veciem “mānekļa” darījumiem, lai būtu grūti noskaidrot, kurš darījums ir likumīgs, un “ringCT”, kas slēpj darījumā nosūtīto Monero summu.
$ZEC
Zcash ir privātuma monēta, kas ļauj veikt arī caurspīdīgus darījumus. Privātajos darījumos tiek izmantoti nulles zināšanu pierādījumi: matemātisku aprēķinu veids, kas signalizē tīklam, ka kaut kas noteikti ir patiess, piemēram, darījuma derīgums, nepublicējot papildu informāciju par šo darījumu, piemēram, adreses un darījumu summas.
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