#BNB_chain Network announced the launch of a dedicated add-on for the Eliza AI framework, facilitating integration to execute on-chain operations (<t-35/>#On-chain ) using AI. The Eliza AI framework, powered by the BNB Chain add-on, offers several key features, including:

1. Support for large language models (LLMs): such as #GPT from OpenAI, Claude, and Llama, enabling diverse AI needs to be met.

Blockchain transactions require fund tracking for numerous reasons. First, it promotes financial openness and responsibility. Blockchain technology's decentralized, immutable ledger lets anyone track funds in real time. Every transaction is recorded and auditable by numerous parties, reducing fraud risk. Blockchain transactions allow businesses and investors to identify patterns and trends in fund flows, improving decision-making and risk management. Understanding the need of tracking fund flows in blockchain transactions is crucial for financial ecosystem trust and efficiency.
Blockchain transaction fund tracking requires on-chain analysis tools. These tools visualize transaction histories, addresses, and fund flows in real time. These tools allow financial institutions and regulators to monitor and detect money laundering and unlawful transactions. Tracking funds ensures compliance with legislation and blockchain network integrity, improving financial ecosystem openness and reliability.
Understanding On-Chain Analysis Tools
On-chain analysis tools refer to software or platforms that analyze and provide insights into the data recorded on a blockchain. These tools can track and monitor transaction histories, addresses, and the flow of funds in real-time. By utilizing various algorithms and techniques, on-chain analysis tools can identify patterns, anomalies, and potential risks associated with money laundering and other illicit activities. These tools play a crucial role in ensuring compliance with regulations and maintaining the integrity of the blockchain network by promoting transparency and accountability.
There are several types of #on-chain analysis tools available to provide comprehensive insights into blockchain data. One type is transaction analysis tools that examine individual transactions and their associated addresses to trace the movement of funds. Another type is clustering tools, which group together related addresses to identify patterns and associations. Additionally, there are risk scoring tools that assess the likelihood of illicit activities based on certain criteria. These different types of tools work in tandem to provide a holistic view of blockchain activities, enabling organizations and authorities to detect and prevent fraudulent or illegal activities effectively.
Include real-time monitoring of blockchain transactions, analysis of transaction patterns and trends, identification of high-risk entities and addresses, and generation of comprehensive reports and alerts. These tools also often include advanced analytics and machine learning algorithms to detect suspicious activities and anomalies, as well as integration with external databases and watchlists to enhance the accuracy of risk assessments. Overall, these tools enable organizations and authorities to stay ahead of emerging threats and take proactive measures to maintain the integrity and security of the blockchain ecosystem.
Fund Tracking Techniques
Fund tracking via the blockchain network uses complex software and algorithms. These methods can identify fund origins and destinations, trace money flow, and detect money laundering and terrorist financing. Organizations can identify funding sources and comply with regulations by examining transaction data and digital footprints. Authorities can then take action and hold unlawful financial transaction participants accountable.
Address clustering helps blockchain analysts follow capital flows. Using transaction patterns or commonalities, it groups addresses managed by the same entity or individual. Address clusters help investigators comprehend how funds move within the network and track their origin and destination. This detects unusual activity and supports legal action against financial criminals.
Transaction graph analysis is a crucial tool in combating money laundering and other financial crimes. By analyzing the connections and patterns within the network, investigators can pinpoint high-risk addresses and track the flow of illicit funds, even across multiple transactions and exchanges. This method helps authorities gather solid evidence and build a strong case against criminals, ultimately deterring future illicit activities and ensuring a safer financial system for all.
Chain analysis, also known as transaction chain analysis, examines an address or entity's full transaction history. It lets detectives track cash from one address to another, revealing how money flows through the network. Chain analysis helps law enforcement identify criminal network leaders and disrupt their operations by identifying illicit fund origins and destinations. Additionally, this method allows police to discover hidden connections and interconnections between criminals. Chain analysis is an effective method for tracing funds and fighting financial crimes.
Popular On-Chain Analysis Tools
Chainalysis is a leading on-chain analysis tool that specializes in tracking and tracing cryptocurrency transactions. It provides law enforcement agencies and financial institutions with the necessary tools to identify and investigate illicit activities conducted through blockchain networks. By analyzing patterns and flow of funds, Chainalysis can help uncover the identities of individuals involved in money laundering, fraud, and other criminal activities. This tool has gained popularity for its effectiveness in combating financial crimes and enabling authorities to take action against those responsible.
Additionally, the use of popular on-chain analysis tools ensures standardization and interoperability among different agencies, facilitating collaboration and information sharing in the fight against financial crimes.
#OnChain

BLV Labs led the recently passed proposal, which prioritizes the governance module.

It aims to address the challenges participants face when submitting proposals within the #LUNC✅ network.

The primary issue is the deposits for launching proposals, currently at 5 million.

Meanwhile, the current module doesn’t account for LUNC price fluctuations.

The deposit amount could be too high or too small amid price volatility, leading to challenges in ensuring the proposal’s value.

Moreover, scammers spam the blockchain with proposals when LUNC’s price plummets sharply.

Meanwhile, the suggested changes will maintain the platform’s integrity by stabilizing the deposit amount. The #announcement read,

“In the current gov module logic, when creating a proposal, the creator will have to deposit LUNC (5 million LUNC) first to push the proposal to the voting stage. So what will happen if the LUNC price drops sharply? Or rises sharply? This leads to the value of the proposal is not guaranteed. When the price is too small, it can lead to bad guys being able to spam many proposals online.”

Thus, #blv Labs suggests using the Oracle module to determine the minimum deposit needed to create proposals in the governance module.

The new system will automatically modify the minimum margin amid price fluctuations to ensure the proposal’s stability.

Meanwhile, the latest proposal has seen massive community support, with over 85% of participants voting in favor.

That underscores a colossal interest in the suggested changes.

Can $LUNC
and $USTC
capitalize on this optimism for price rallies? #on-chain indicators confirm positivity and trust in the altcoins’ future performance.
#BinanceLaunchpoolHMSTR

The Ethereum burn rate has seen a dramatic increase
A notable 168% increase in Ethereum's burn rate in the last week indicates increased #on-chain activity and possible price implications for the asset. 
One of the main factors impacting price performance is the deflationary pressure that Ethereum creates due to its daily burning of a sizable amount of $ETH
. 
The supply and demand of Ethereum have changed significantly over the last seven days with 6,098 #ETH🔥🔥🔥🔥 being added to the system and 12,250 ETH being burned. The increasing network usage of Ethereum is one of the main causes of the burn rate spike. Due to gas fees associated with each transaction, which add to the ETH burning process, decentralized finance, NFTs, and other applications are flourishing on the Ethereum network. 

#ETH/USDT Chart by TradingView
Reduced total supply of the asset in circulation results from increased network activity which also increases the amount of ETH burned. This mechanism is essential to regulating Ethereum's #inflation .
Significant price rallies have historically been preceded by increases in Ethereum's burn rate. After examining past similar spikes in January and October 2023, we can see that the price of ETH increased favorably following significant rises in the daily burn rate. In general, the growing price momentum has been sparked by a decrease in supply combined with stable or increasing demand. Ethereum's price is currently trading at $2,617 showing signs of recovery and significant resistance levels are getting closer. 
It looks like this pattern is repeating itself. Keeping an eye on the burn rate in addition to other variables like network activity and general market sentiment is vital even with this bullish outlook. Although it does not by itself ensure long-term price increases, a high burn rate is a reliable gauge of Ethereum's present usefulness and network demand.
#BinanceLaunchpoolHMSTR