Crypto Market and volatility are just synonyms. While crypto can give you never imagined returns in short time also brings some big risk factors like flash dumps and big breakdowns. 

Recently Bitcoin plunged 56,000$ all of a sudden thanks to sell off from Germany and many others bearish factors. But there's always opportunities knocking your door. These are small tips how you can chery-pick the best coins even during this bad situations.
🔼 Relative Strength (RSI) :
The RSI is a momentum oscillator that measures the speed and magnitude of recent price changes. It's displayed as a line on a scale of 0 to 100. Traditionally, an RSI above 70 indicates an overbought condition, and below 30 indicates oversold.
Then we have Sector Relative Strength Against Bitcoin. It's a intersting metrics that indicate +1.0 sector is leading the market or if it's falls below it's lagging behind the market.

🔆 Daily Active Users (DAU): 
High DAU indicates a project with a vibrant user base actively engaging with the platform. This suggests the project is solving a problem or offering a valuable service that people use regularly. Increased user activity can lead to more demand for the project's token, potentially driving the price up.

💥 Transaction Volume:
Transaction volume refers to the total amount of cryptocurrency being transferred within the project's ecosystem. High transaction volume signifies a project with a healthy level of activity and utility. More transactions often translate to increased demand for the token to facilitate those transactions, potentially causing a price rise.
✴️ Trading Volume: 
This refers to the total amount of a cryptocurrency being bought and sold on exchanges. High trading volume indicates strong market interest in the token. Active trading can bring more attention to the project, potentially attracting new investors and driving the price up.

🤖 Fees (if collected): 
Some crypto projects collect fees for transactions or services on their platform. Consistent fee collection demonstrates a sustainable revenue model, which can be a positive sign for investors. Fees can also create a demand for the token if they're required for using the platform.

🌀 Staking Stats (if available): 
Staking allows investors to earn rewards for holding a cryptocurrency. High staking participation indicates investor confidence in the project's long-term potential. Staking can also reduce the circulating supply of tokens, potentially leading to price appreciation due to increased scarcity.
⚡ Active Holders: 
This refers to the number of wallets holding a particular cryptocurrency that have recently interacted with it. A high number of active holders suggests strong community engagement and distributed ownership, which can be viewed favorably by investors. It indicates the project isn't controlled by a small group and has a broader user base.
🐠 Important Note:
These factors should be considered together, not in isolation. A strong project will typically exhibit a combination of these positive metrics. And Collect the Data For last 30-60 Days. If Any coin doing somehow positive on those metrics but continuously outperformed by market. You Must best on that. Price Action definitely Follow the On-chain Growth. 
🔼 Data Credit
> Dyor
> Token Terminal
> IntoTheBlock

🅃🄴🄲🄷🄰🄽🄳🅃🄸🄿🅂123
#Binance #Bitcoin❗ #research

It was the dawn of computing, which saw centralization—a world with massive data centers, monolithic servers, and single points of control. It was a powerful model of centralization, but with some limitations, like cost, potential for failure, and restricted access to resources. 
As technology evolved, we found a new way to harness computational power: decentralized GPU farms. These globally distributed, blockchain-coordinated networks are democratizing access, making high-performance computing more resilient, and optimizing resource use better than it ever has been.

TL;DR 
Decentralized GPU farms use blockchain to coordinate GPU resources across a global network, ensuring security and transparency.Participants include contributors providing GPU power and clients needing computational tasks like AI training or rendering.Task allocation and rewards are managed by smart contracts, distributing work based on GPU capabilities and rewarding contributors upon task completion.Benefits  include reduced infrastructure costs, easy scalability, and democratized access to high-performance computing for various industries.

🅃🄴🄲🄷🄰🄽🄳🅃🄸🄿🅂123
🔆 What is Decentralised GPU Farm 
A decentralized GPU farm is a network of geographically distributed computers equipped with Graphics Processing Units (GPUs) that collaborate to perform intensive computational tasks.

Unlike traditional centralized GPU farms, which are located in a single data center or managed by a single entity, decentralized GPU farms leverage the power of distributed ledger technologies (like blockchain) to coordinate and optimize the usage of GPU resources across various locations and participants.
Imagine a giant community bake sale, but instead of cakes and cookies, people are selling computing power from their own ovens (GPUs). This is similar to how decentralized GPU farms work. People with extra processing power (unused ovens) can rent it out to others who need it for tasks like video editing (baking a complex cake). A secure system matches these requests with available resources, ensuring everyone gets what they need and gets paid fairly. This collaborative network shares resources for mutual benefit, just like a community bake sale.
💡 How Decentralised GPU Farm Works 
The decentralized GPU farms are an infrastructure that is managed through blockchain, ensuring security, transparency, and decentralization. In this way, here's how it works, step by step:

Blockchain Integration:
The blockchain is the backbone of a decentralized GPU farm, making the processing of transactions secure and transparent. Smart contracts present in the blockchain manage task assignment, rewards, and coordination throughout the network.
Network Participants:
🔹 Contributors: Here, a contributor would refer to a person or entity that contributes GPU power to the network. They are incentivized to do so mainly through rewards, normally tokens or cryptocurrency.
🔸 Clients: For example, people or companies in need of computation for tasks such as AI model training, rendering, or scientific simulation. They submit jobs to the decentralized network.
Task Allocation: 
In essence, when a job is submitted by a client, the job is subdivided into smaller tasks. Such is the mandate of the smart contracts of the blockchain to distribute these tasks through the network. Each contributor would take an equal share of the portion based on their GPU's capability and availability.
Computational Process:
Contributors process the allocated work using their GPUs, with the results being sent back to the blockchain for verification and aggregation. This process assures the performed job is done correctly and promptly.
Reward Distribution: 
Contributors are thereby rewarded only upon successful completion and verification of tasks. These rewards are automatically distributed by the smart contracts in the blockchain according to the contributions of each contributor.
📀 Use-Cases Of Decentralised GPU Farm 
   Training AI models demands a lot of computational power. Decentralized GPU farms offer a cost-effective solution by pooling resources globally, which speeds up AI research and development.  Decentralized farms are ideal for cryptocurrency mining. They harness significant GPU power from a worldwide network, making mining more efficient and profitable.   Fields like genomics, climate modeling, and astrophysics require powerful computers for simulations and data analysis. Decentralized GPU farms provide the necessary computational muscle for these complex tasks.   In the entertainment industry, especially for rendering and animation, there's a constant need for extensive computing resources. Decentralized farms help streamline these processes, cutting down on production time and costs.
🏵️ Major Advantages 
By utilizing idle GPUs from around the world, decentralized farms reduce the need for expensive, centralized infrastructure. This model allows for lower operational costs and more affordable access to high-performance computing.The decentralized nature enables easy scaling. As more contributors join the network, the computational power available increases, allowing the farm to handle larger and more complex tasks.Decentralized GPU farms democratize access to high-performance computing. Smaller enterprises and individual researchers can access powerful computational resources without significant financial investment.
🔼 Notable Projects 
> Akash  
> Render Network 
> Clore.Ai 
🔬 Data Credit 
> Flagship.fyi
> Binance Research 
> Twitter (x)
> Four Pillars 
> Cointelegraph 
🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸
As we progressing towards complex computation we need large computation power and GPU power. Decentralized GPU is one of the reliable and cheapest solution. We saw many Decentralised protocol not only managed to match their mainstream counterparts they challenged the current leader with cheapest rate and reliable solution.
🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹
#Binance #gpu #research

In early civilizations, truth was based on myth. Observations of worldly phenomena were wrapped in symbolic narratives, religious beliefs, and ancient wisdom. Over time, humanity began to value objective measurements and reasoning, birthing disciplines such as science, mathematics, and logic. 
After the invention of the written word and, later, the printing press, books and documents captured the world’s information in written form, from academic literature and legal contracts to statistics and opinionated analysis. Then, in the twentieth century, phones, computers, and the Internet started a digital revolution in how information was created, distributed, and verified, with supercomputers now performing large-scale computations on complex data sets and billions of users across the globe generating, sharing, and talking about content every day in real-time.

Now, with a simple Internet connection, anyone in the world can instantly access a seemingly infinite flow of information. But while individuals are now empowered to consume and share more information than ever before, high-velocity, high-volume information scattered across a variety of applications poses extraordinary challenges.
  { Analogy From Chainlink Blog } 

Verifiable computing allows a user to outsource computations to potentially untrusted computers while ensuring the correctness of the results. It works by having the remote computer perform the calculation and then provide a proof that the calculation was done accurately. 

This proof can be verified by the user without needing to repeat the entire computation themselves. This is particularly useful for situations where a user has limited computational resources or needs to ensure the integrity of sensitive data being processed on an external system.
TL;DR 
Cloud computing is great for complex tasks, but how do you know the results are accurate?Verifiable computing lets you outsource computations and verify the answers without re-running everything.It uses proofs (like a receipt) to confirm the work was done correctly.Benefits include security, efficiency, transparency, and verifying scientific calculations.There are two main proof types: interactive (client-worker dialogue) and non-interactive (proof verified with a key).Other techniques like secure enclaves and homomorphic encryption can enhance security and privacy.Verifiable computing helps blockchains scale by reducing workload and enabling complex smart contracts.

🅃🄴🄲🄷🄰🄽🄳🅃🄸🄿🅂123

In our world dominated by vast computational needs, outsourcing complex tasks to cloud servers has become routine. But herein lies the challenge: once we receive the results, how can we be confident of their accuracy? Consider this - you assign an AI training task to a platform like AWS. A week later, you receive millions of neural network parameters from this AI training task. But how can you ensure that these parameters genuinely reflect a week's worth of training and not just a day's?
The most straightforward solution is to send the identical task to another cloud platform, Google Cloud, and juxtapose the results. However, this method is not only redundant but also doubles the costs. So, what's the alternative? It is the topic of verifiable computing – a domain focused on validating outsourced computational outcomes without re-executing the entire process.
{ Analogy From Forbes }
🏵️ How Verifiable Computing Works
Imagine a scenario where you possess a computationally intensive task, such as financial data analysis or scientific simulations. Local execution might be impractical due to hardware limitations or security considerations. Outsourcing the computation to a cloud server appears to be a viable solution. However, a fundamental question arises: can you trust the server to perform the computation accurately?

A malicious server could manipulate the data or simply return fabricated results. Traditional approaches often involve redundant computations on multiple servers, which can be inefficient and resource-intensive. Verifiable computing offers an elegant solution to this dilemma.
📀 How Verifiable Computing Solve The Dilemma 
Verifiable computing empowers you to outsource computations to untrusted servers while guaranteeing the correctness of the outputs. It achieves this through a two-pronged approach:
🔹 Proof Generation: The computation is transformed into a verifiable format along with a cryptographic proof. This proof acts as a mathematical guarantee that the computation was performed accurately without revealing the input data or the specific steps involved.
🔸 Proof Verification: You possess a verification tool that utilizes a secret key to validate the correctness of the received proof. If the verification succeeds, it assures you that the computation was executed as intended on the untrusted server, yielding a trustworthy outcome. Think of verifiable computing as a system for auditable computations.

 You delegate the task to a worker, but you also get a verifiable receipt to confirm that the job was done correctly. This mathematical verification process allows you to trust the results without having to blindly rely on the server's integrity.

💡 Beneffits Of Verifiable Computing 
Verifiable computing offers a multitude of benefits for various applications:
 Security in Cloud Computing: It enables secure utilization of cloud resources for sensitive computations, ensuring data privacy and the integrity of results.Scalability and Efficiency: Complex computations can be outsourced to powerful cloud servers, accelerating processes and improving efficiency. Transparency in Distributed Systems: In collaborative projects where computations are distributed across multiple entities, verifiable computing guarantees the accuracy of partial results without compromising confidentiality.Verifying Scientific Calculations: Researchers can leverage verifiable computing to ensure the reproducibility of scientific computations performed on remote servers.
🔆 Types Of Proofs 
Verifiable computing can be implemented using two primary approaches:

  Interactive Proofs :
 In this method, the client and the worker engage in an interactive dialogue to verify the correctness of the proof. The client sends challenges to the worker, and the worker's responses are mathematically verified to ensure the validity of the computation.

Non-Interactive Proofs: 
This approach eliminates the need for direct interaction. The worker generates a proof that can be verified by the client using a cryptographic key. Non-interactive proofs are often more efficient but may require stronger cryptographic assumptions.
The choice between interactive and non-interactive proofs depends on factors like the complexity of the computation, the desired level of efficiency, and the security requirements of the application.
⚡ Secure Enclaves and Homomorphic Encryption
While interactive and non-interactive proofs form the core of verifiable computing, other cryptographic techniques can enhance its capabilities:

 Secure Enclaves: 
These are isolated execution environments within a processor that protect the confidentiality and integrity of the computation during its execution on the untrusted server.
 Homomorphic Encryption: 
This technique allows computations to be performed directly on encrypted data, eliminating the need to decrypt the data before computation and enhancing privacy.

🚆 How It Helps in Blockchain scalability 

Reduced Blockchain Load: Complex computations can be outsourced to verifier nodes, lessening the burden on validator nodes responsible for transaction verification and consensus. This frees up space on the blockchain for core functions like storing transaction data and enforcing smart contract rules.Improved Transaction Throughput: By offloading computations, blockchains can process more transactions per second, leading to faster and more efficient transaction confirmation times. This is crucial for real-world applications that require high transaction volume.Enabling Complex Smart Contracts: Verifiable computing allows smart contracts to leverage functionalities that might be too computationally expensive to execute directly on the blockchain. This opens doors for richer and more intricate smart contract applications.

🏵️ Verifiable Computing Apps in Crypto 

Scalable blockchains: Blockchains can be slow due to the need for all nodes to validate transactions. Verifiable computing allows complex computations to be done off-chain, with only the validity proofs stored on the blockchain, making the system more scalable.Secure smart contracts: Smart contracts are programs that run on a blockchain. Verifiable computing enables secure execution of complex smart contracts that involve private data, without compromising the privacy of that data.Confidential transactions: Verifiable computing can be used to enable confidential transactions on blockchains, where only the sender and receiver know the amount being transacted, while still proving the transaction is valid.

💡 Specific Application 
Verifiable computing, often referred to as Zero-Knowledge (ZK) proofs, is a powerful technology with applications in both blockchain and non-blockchain contexts. It enables one computer (the verifier) to delegate computation to another, more powerful computer (the prover) and efficiently verify that the computation was performed correctly. Here are some notable applications:

Layer 2 (L2) Blockchain: L2 blockchains use ZK proofs (specifically SNARKs) to guarantee the integrity of their state transitions. These proofs allow efficient verification without the need for full computation on-chain.Cross-Chain Bridges: Cross-chain bridges leverage SNARKs to prove deposits or withdrawals on one chain to another. This ensures trustless interoperability between different blockchains.ZK Coprocessors: A “ZK coprocessor” uses SNARKs to prove off-chain computations over on-chain data. For example, it can verify complex computations that would be too costly to natively compute in a smart contract.

🔬 Notable Projects
> Zcash
> Mina
> Starknet 
> Loopring 
> StarkEx
> ZigZag Network 
> Immutable X 

🔼 Data Credit
>  Wikipedia 
>  Research Gate
>  ArXiv
>  Forbes
>  Chainlink Blog 
>  Microsoft 

🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸
Verifiable computing is a game-changer for blockchain and cryptocurrency, not just for quantum computing. It, along with verified web, unlocks groundbreaking possibilities. New protocols built with technologies like zero-knowledge proofs (ZK) and fully homomorphic encryption (FHE) are just the beginning.
🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹🔸🔹 

This data shows us $BTC futures positioning. Net long accounts divided by net short accounts. It is a good overall sentiment indicator, and the sentiment is still very much net long.
💡 BTC/USDT 1D Coinalyze Aggregated Long / Short Ratio

If you look back to when we pumped from 25k in mid to late October 2023, sentiment had reset to 1:1 long versus short. Again, when we consolidated in the low 40k’s, sentiment reset just after we pumped. This says to me sentiment had been crushed. Longs closed early, and the ratio went back to 1. Nobody believed much higher prices were coming.
🔥 𝐁𝐢𝐭𝐜𝐨𝐢𝐧 𝐃𝐚𝐢𝐥𝐲 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 🔥
Bitcoin has broken out of the ascending triangle pattern with significant volume, indicating potential bullish momentum. The Ichimoku cloud is providing support, further highlighting the bullish strength.
A successful retest above the triangle would confirm this bullish trend. However, if the retest fails, we may see further price movement within the confines of the triangle.

🔼 Data Credit - Blockmates & Crypto Express
🅃🄴🄲🄷🄰🄽🄳🅃🄸🄿🅂123
#bitcoin #Binance