The post Edgen and Sahara AI Announce Strategic Collaboration to Pioneer Decentralized Validation in Market Intelligence appeared on BitcoinEthereumNews.com. Hong Kong, Hong Kong, September 6th, 2025, FinanceWire Edgen, an AI operating system for stocks and crypto markets, today announced its collaboration with Sahara AI, a leading decentralized artificial intelligence network. Through this collaboration, Edgen will leverage Sahara AI’s data validation capabilities in a targeted pilot initiative aimed at improving the precision and dependability of AI-generated insights in the stock and cryptocurrency markets. Convergence in Data Integrity Edgen and Sahara AI are partnering on a focused application of decentralized validation within market intelligence. This ensures that the insights used by its agents are accurate, reliable, and validated. It is an early step toward raising the standard of trust in data that powers cross-asset analysis, where investors demand clarity most, due to data fragmentation and overload. Building Trust With Verified Information Verified Market Insights: Sahara AI supports Edgen’s cross-asset analyses through its decentralized verification procedures applied in this first stage of collaboration. Expanded Edgen Store: The platform begins incorporating Sahara AI validation methods, elevating the standard of insights available to users. Trusted Foundation: This first stage establishes a framework for market insights transparency and trust that will expand with future integrations. Trust Through Decentralized Verification Sahara’s decentralized architecture of AI distributes validation across independent nodes. This yields diverse and trustworthy insights. By combining this structure with Edgen’s cross-asset intelligence system platform in a selective rollout, signals and reports gain an added layer of assurance. Investors receive information they can act on with greater confidence, knowing that behind the interface, verification has been factored into the process. Looking Ahead This collaboration marks the first stage of deeper integration between Edgen and Sahara AI. Users can anticipate ongoing enhancements, expanded verification procedures, and an increasingly powerful platform for stock market and cryptocurrency intelligence. About Edgen Edgen is an AI Co-Pilot for investors, bringing… The post Edgen and Sahara AI Announce Strategic Collaboration to Pioneer Decentralized Validation in Market Intelligence appeared on BitcoinEthereumNews.com. Hong Kong, Hong Kong, September 6th, 2025, FinanceWire Edgen, an AI operating system for stocks and crypto markets, today announced its collaboration with Sahara AI, a leading decentralized artificial intelligence network. Through this collaboration, Edgen will leverage Sahara AI’s data validation capabilities in a targeted pilot initiative aimed at improving the precision and dependability of AI-generated insights in the stock and cryptocurrency markets. Convergence in Data Integrity Edgen and Sahara AI are partnering on a focused application of decentralized validation within market intelligence. This ensures that the insights used by its agents are accurate, reliable, and validated. It is an early step toward raising the standard of trust in data that powers cross-asset analysis, where investors demand clarity most, due to data fragmentation and overload. Building Trust With Verified Information Verified Market Insights: Sahara AI supports Edgen’s cross-asset analyses through its decentralized verification procedures applied in this first stage of collaboration. Expanded Edgen Store: The platform begins incorporating Sahara AI validation methods, elevating the standard of insights available to users. Trusted Foundation: This first stage establishes a framework for market insights transparency and trust that will expand with future integrations. Trust Through Decentralized Verification Sahara’s decentralized architecture of AI distributes validation across independent nodes. This yields diverse and trustworthy insights. By combining this structure with Edgen’s cross-asset intelligence system platform in a selective rollout, signals and reports gain an added layer of assurance. Investors receive information they can act on with greater confidence, knowing that behind the interface, verification has been factored into the process. Looking Ahead This collaboration marks the first stage of deeper integration between Edgen and Sahara AI. Users can anticipate ongoing enhancements, expanded verification procedures, and an increasingly powerful platform for stock market and cryptocurrency intelligence. About Edgen Edgen is an AI Co-Pilot for investors, bringing…

Edgen and Sahara AI Announce Strategic Collaboration to Pioneer Decentralized Validation in Market Intelligence

2025/09/06 09:08

Hong Kong, Hong Kong, September 6th, 2025, FinanceWire

Edgen, an AI operating system for stocks and crypto markets, today announced its collaboration with Sahara AI, a leading decentralized artificial intelligence network. Through this collaboration, Edgen will leverage Sahara AI’s data validation capabilities in a targeted pilot initiative aimed at improving the precision and dependability of AI-generated insights in the stock and cryptocurrency markets.

Convergence in Data Integrity

Edgen and Sahara AI are partnering on a focused application of decentralized validation within market intelligence. This ensures that the insights used by its agents are accurate, reliable, and validated. It is an early step toward raising the standard of trust in data that powers cross-asset analysis, where investors demand clarity most, due to data fragmentation and overload.

Building Trust With Verified Information

  • Verified Market Insights: Sahara AI supports Edgen’s cross-asset analyses through its decentralized verification procedures applied in this first stage of collaboration.
  • Expanded Edgen Store: The platform begins incorporating Sahara AI validation methods, elevating the standard of insights available to users.
  • Trusted Foundation: This first stage establishes a framework for market insights transparency and trust that will expand with future integrations.

Trust Through Decentralized Verification

Sahara’s decentralized architecture of AI distributes validation across independent nodes. This yields diverse and trustworthy insights. By combining this structure with Edgen’s cross-asset intelligence system platform in a selective rollout, signals and reports gain an added layer of assurance. Investors receive information they can act on with greater confidence, knowing that behind the interface, verification has been factored into the process.

Looking Ahead

This collaboration marks the first stage of deeper integration between Edgen and Sahara AI. Users can anticipate ongoing enhancements, expanded verification procedures, and an increasingly powerful platform for stock market and cryptocurrency intelligence.

About Edgen

Edgen is an AI Co-Pilot for investors, bringing stocks and crypto together into one unified intelligence layer. It addresses market data overload and information asymmetries by orchestrating hundreds of expert tools, agents, and data sources into a single interface, turning fragmentation into clear, actionable insights for investors of all backgrounds. Edgen integrates AI assistants, real-time social sentiment, and blockchain analytics to automate analyses, optimize portfolios, and identify market entry points with ease.

Backed by leading investors such as Framework Ventures and North Island Ventures, Edgen’s team brings together former Wall Street quantitative traders and core Web3 protocol developers, building the cognitive infrastructure for next-generation open finance.

Website: https://www.edgen.tech/ 

X/Twitter: https://x.com/EdgenTech 

Media contact: [email protected] 

About Sahara AI

Sahara AI is a decentralized blockchain platform that brings together crowdsourced data labeling, model development, and on-chain AI asset trading. Contributors earn SAHARA tokens as they help build and refine AI models.

Contact

Kelvin Yeo
[email protected]

Source: https://finbold.com/edgen-and-sahara-ai-announce-strategic-collaboration-to-pioneer-decentralized-validation-in-market-intelligence/

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Preliminary analysis of the Balancer V2 attack, which resulted in a loss of $120 million.

Preliminary analysis of the Balancer V2 attack, which resulted in a loss of $120 million.

On November 3, the Balancer V2 protocol and its fork projects were attacked on multiple chains, resulting in a serious loss of more than $120 million. BlockSec issued an early warning at the first opportunity [1] and gave a preliminary analysis conclusion [2]. This was a highly complex attack. Our preliminary analysis showed that the root cause was that the attacker manipulated the invariant, thereby distorting the calculation of the price of BPT (Balancer Pool Token) -- that is, the LP token of Balancer Pool -- so that it could profit in a stable pool through a batchSwap operation. Background Information 1. Scaling and Rounding To standardize the decimal places of different tokens, the Balancer contract will: upscale: Upscales the balance and amount to a uniform internal precision before performing the calculation; downscale: Reduces the result to its original precision and performs directional rounding (e.g., inputs are usually rounded up to ensure the pool is not under-filled; output paths are often truncated downwards). Conclusion: Within the same transaction, the asymmetrical rounding direction used in different stages can lead to a systematic slight deviation when executed repeatedly in very small steps. 2. Prices of D and BPT The Balancer V2 protocol’s Composable Stable Pool[3] and the fork protocol were affected by this attack. Stable Pool is used for assets that are expected to maintain a close 1:1 exchange ratio (or be exchanged at a known exchange rate), allowing large exchanges without causing significant price shocks, thereby greatly improving the efficiency of capital utilization between similar or related assets. The pool uses the Stable Math (a Curve-based StableSwap model), where the invariant D represents the pool's "virtual total value". The approximate price of BPT (Pool's LP Token) is: The formula above shows that if D is made smaller on paper (even if no funds are actually withdrawn), the price of BPT will be cheaper. BTP represents the pool share and is used to calculate how many pool reserves can be obtained when withdrawing liquidity. Therefore, if an attacker can obtain more BPT, they can profit when withdrawing liquidity. Attack Analysis Taking an attack transaction on Arbitrum as an example, the batchSwap operation can be divided into three stages: Phase 1: The attacker redeems BPT for the underlying asset to precisely adjust the balance of one of the tokens (cbETH) to a critical point (amount = 9) for rounding. This step sets the stage for the precision loss in the next phase. Phase Two: The attacker uses a carefully crafted quantity (= 8) to swap between another underlying asset (wstETH) and cbETH. Due to rounding down when scaling the token quantity, the calculated Δx is slightly smaller (from 8.918 to 8), causing Δy to be underestimated and the invariant D (derived from Curve's StableSwap model) to be smaller. Since BPT price = D / totalSupply, the BPT price is artificially suppressed. Phase 3: The attackers reverse-swap the underlying assets back to BPT, restoring the balance within the pool while profiting from the depressed price of BPT—acquiring more BPT tokens. Finally, the attacker used another profitable transaction to withdraw liquidity, thereby using the extra BPT to acquire other underlying assets (cbETH and wstETH) in the Pool and thus profit. Attacking the transaction: https://app.blocksec.com/explorer/tx/arbitrum/0x7da32ebc615d0f29a24cacf9d18254bea3a2c730084c690ee40238b1d8b55773 Profitable trades: https://app.blocksec.com/explorer/tx/arbitrum/0x4e5be713d986bcf4afb2ba7362525622acf9c95310bd77cd5911e7ef12d871a9 Reference: [1]https://x.com/Phalcon_xyz/status/1985262010347696312 [2]https://x.com/Phalcon_xyz/status/1985302779263643915 [3]https://docs-v2.balancer.fi/concepts/pools/composable-stable.html
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PANews2025/11/04 14:00