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Congressional Chaos During GOP's Crypto WeekDuring the GOP's "Crypto Week," Congress faced unprecedented turmoil as House Republicans attempted to advance multiple cryptocurrency bills. House Speaker Mike Johnson expressed frustration over the chaos, stating, "I just want normal Congress." A procedural vote on the bills turned into a record-breaking nine-hour and 45-minute ordeal due to a revolt among conservatives, surprising GOP leaders and angering President Trump, who aimed to sign a bill by week's end. After a failed attempt to resolve the issues, the House finally moved forward with the crypto legislation. However, the urgency was palpable as Congress had until midnight Friday to approve a spending cut bill, or it would face a Senate filibuster. The Senate narrowly passed the bill just before 2:30 a.m. Friday, while the House aligned shortly after. Amidst this, House Minority Leader Hakeem Jeffries faced pressure regarding his endorsement of a New York mayoral candidate, adding to the week's complexities. @WalletConnect #WalletConnect $WCT #Chainbase @ChainbaseHQ @Calderaxyz #calderaxyz $ERA @lagrangedev #lagrange $LA

Congressional Chaos During GOP's Crypto Week

During the GOP's "Crypto Week," Congress faced unprecedented turmoil as House Republicans attempted to advance multiple cryptocurrency bills. House Speaker Mike Johnson expressed frustration over the chaos, stating, "I just want normal Congress." A procedural vote on the bills turned into a record-breaking nine-hour and 45-minute ordeal due to a revolt among conservatives, surprising GOP leaders and angering President Trump, who aimed to sign a bill by week's end. After a failed attempt to resolve the issues, the House finally moved forward with the crypto legislation. However, the urgency was palpable as Congress had until midnight Friday to approve a spending cut bill, or it would face a Senate filibuster. The Senate narrowly passed the bill just before 2:30 a.m. Friday, while the House aligned shortly after. Amidst this, House Minority Leader Hakeem Jeffries faced pressure regarding his endorsement of a New York mayoral candidate, adding to the week's complexities.
@WalletConnect
#WalletConnect
$WCT
#Chainbase
@Chainbase Official
@Caldera Official
#calderaxyz
$ERA
@Lagrange Official

#lagrange
$LA
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Bullish
$ARDR {spot}(ARDRUSDT) entry now buy tp1: 0.12000 tp2: 0.14000 stop loss: 0.11000
$ARDR
entry now buy
tp1: 0.12000
tp2: 0.14000
stop loss: 0.11000
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Bullish
$KERNEL {spot}(KERNELUSDT) entry now buy pt1: 0.1900 pt2: 0.2150 stop loss: 0.1500
$KERNEL
entry now buy
pt1: 0.1900
pt2: 0.2150
stop loss: 0.1500
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Bullish
$VOXEL {spot}(VOXELUSDT) entry now buy tp1: 0.0700 tp2: 0.07300 stop loss: 0.0500
$VOXEL
entry now buy
tp1: 0.0700
tp2: 0.07300
stop loss: 0.0500
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Bullish
$IOTX {future}(IOTXUSDT) entry now buy tp1: 0.03000 tp2:0.03300 stop loss: 0.02300
$IOTX
entry now buy
tp1: 0.03000
tp2:0.03300
stop loss: 0.02300
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Bullish
$COS {spot}(COSUSDT) entery now buy tp1:0.004300 tp2:0.004500 stop loss: 0.003700
$COS
entery now buy
tp1:0.004300
tp2:0.004500
stop loss: 0.003700
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Bullish
$REI {spot}(REIUSDT) entry now buy tp1: 0.02000 tp2: 0.02200 stop loss:0.01700
$REI
entry now buy
tp1: 0.02000
tp2: 0.02200
stop loss:0.01700
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Bullish
$CAKE {spot}(CAKEUSDT) entry now buy tp1:2.900 tp2:3.100 stop loos: 2.600
$CAKE
entry now buy
tp1:2.900
tp2:3.100
stop loos: 2.600
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Bullish
$JASMY {spot}(JASMYUSDT) entry now buy tp1:0.02100 tp2:0.02400 stop loss: 0.01800
$JASMY
entry now buy
tp1:0.02100
tp2:0.02400
stop loss: 0.01800
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Bearish
$ZEC {future}(ZECUSDT) entry now sell tp1:43.200 tp2:43.000 stop loss:43.500
$ZEC
entry now sell
tp1:43.200
tp2:43.000
stop loss:43.500
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Bearish
$ETHFI {spot}(ETHFIUSDT) entry now sell tp1:1.100 tp2:1.000 stop loss:1.400
$ETHFI
entry now sell
tp1:1.100
tp2:1.000
stop loss:1.400
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Bearish
$UNI {spot}(UNIUSDT) entry now sell tp1:10.200 tp2:10.000 step loss:10.500
$UNI
entry now sell
tp1:10.200
tp2:10.000
step loss:10.500
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Bearish
$LQTY entery now tp1:1.240 tp2:1.230 stop loss:1.270 {spot}(LQTYUSDT)
$LQTY
entery now
tp1:1.240
tp2:1.230
stop loss:1.270
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Bearish
$VANRY {spot}(VANRYUSDT) entry now sell tp1:0.03700 tp2:0.03500 stop loss:0.04100
$VANRY
entry now sell
tp1:0.03700
tp2:0.03500
stop loss:0.04100
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Bearish
$JUP {spot}(JUPUSDT) entry now sell tp1:0.5700 tp2:0.5500 stop loss:0.6100
$JUP
entry now sell
tp1:0.5700
tp2:0.5500
stop loss:0.6100
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Bullish
$FTT entery now buy tp1:1.0700 tp2:1.0900 stop loss:1.400
$FTT
entery now buy
tp1:1.0700
tp2:1.0900
stop loss:1.400
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Bullish
$ICX {spot}(ICXUSDT) entry now buy tp1:0.1700 tp2:0.1900 stop loss:0.1500
$ICX
entry now buy
tp1:0.1700
tp2:0.1900
stop loss:0.1500
Lagrange#lagrange @lagrangedev $LA Proofs for AI Solutions Lagrange is a pioneering platform that specializes in zero-knowledge proofs (ZKPs), focusing on creating secure and private artificial intelligence (AI) solutions. At the heart of its offerings is DeepProve, the fastest zkML system currently available, which empowers users to verify AI outcomes using cutting-edge zero-knowledge proof techniques. The Importance of Zero-Knowledge Proofs Zero-knowledge proofs are fundamental in ensuring that information can be validated without revealing the underlying data. This feature is essential in various industries, particularly those that handle sensitive information, such as finance, healthcare, and personal data. Lagrange’s use of ZKPs allows organizations to leverage AI capabilities while maintaining strict privacy standards. DeepProve: The Flagship Product DeepProve stands out as Lagrange's flagship product, enabling rapid verification of AI model outputs. This system ensures that the results produced by AI algorithms are accurate without disclosing the data used in the process. The efficiency of DeepProve is a game-changer, allowing organizations to implement AI solutions without delays, enhancing overall operational productivity. Applications Across Industries Lagrange’s technology has broad applications, including: Finance: Securely conducting transactions and ensuring compliance without exposing sensitive financial data. Healthcare: Validating AI models for medical diagnostics while safeguarding patient privacy. Supply Chain: Ensuring data integrity in logistics and tracking without compromising proprietary information. Conclusion Lagrange is at the forefront of integrating zero-knowledge proofs with artificial intelligence, offering innovative solutions that prioritize security and privacy. With DeepProve, organizations can harness AI's power while ensuring that their sensitive data remains protected. As data privacy becomes increasingly crucial, Lagrange is set to play a vital role in shaping the future of secure AI technologies.

Lagrange

#lagrange
@Lagrange Official
$LA
Proofs for AI Solutions
Lagrange is a pioneering platform that specializes in zero-knowledge proofs (ZKPs), focusing on creating secure and private artificial intelligence (AI) solutions. At the heart of its offerings is DeepProve, the fastest zkML system currently available, which empowers users to verify AI outcomes using cutting-edge zero-knowledge proof techniques.

The Importance of Zero-Knowledge Proofs
Zero-knowledge proofs are fundamental in ensuring that information can be validated without revealing the underlying data. This feature is essential in various industries, particularly those that handle sensitive information, such as finance, healthcare, and personal data. Lagrange’s use of ZKPs allows organizations to leverage AI capabilities while maintaining strict privacy standards.

DeepProve: The Flagship Product
DeepProve stands out as Lagrange's flagship product, enabling rapid verification of AI model outputs. This system ensures that the results produced by AI algorithms are accurate without disclosing the data used in the process. The efficiency of DeepProve is a game-changer, allowing organizations to implement AI solutions without delays, enhancing overall operational productivity.

Applications Across Industries
Lagrange’s technology has broad applications, including:

Finance: Securely conducting transactions and ensuring compliance without exposing sensitive financial data.
Healthcare: Validating AI models for medical diagnostics while safeguarding patient privacy.
Supply Chain: Ensuring data integrity in logistics and tracking without compromising proprietary information.
Conclusion
Lagrange is at the forefront of integrating zero-knowledge proofs with artificial intelligence, offering innovative solutions that prioritize security and privacy. With DeepProve, organizations can harness AI's power while ensuring that their sensitive data remains protected. As data privacy becomes increasingly crucial, Lagrange is set to play a vital role in shaping the future of secure AI technologies.
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