onchaindata

On‑chain аналитика продолжает демонстрировать высокую устойчивость Binance на фоне недавних рыночных колебаний. Данные указывают на сильные торговые объёмы, стабильные резервы Биткоина и здоровое соотношение чистых потоков к резервам — всё это укрепляет доверие пользователей и подчёркивает надёжность биржи в периоды стресса.

Binance сохраняет лидерство с совокупным объёмом торгов $2,1 трлн
В январе 2026 года Binance вновь подтвердила своё доминирование: спотовый объём составил $518,32 млрд, а объём деривативов — $1,6 трлн. Совокупный объём торгов превысил $2,1 трлн, что в 2,6 раза больше показателей следующей по величине биржи MEXC. Binance опережает суммарные объёмы трёх ближайших конкурентов, демонстрируя непревзойдённую ликвидность и глубину рынка даже в условиях повышенной турбулентности.

Резервы Bitcoin остаются стабильными на уровне 659 000 BTC
По данным CryptoQuant, на конец января 2026 года Binance удерживала 659 тыс. BTC — практически столько же, сколько и в конце 2025 года (657 тыс. BTC). Это значение также на 7% выше годового минимума, что подтверждает отсутствие значимого оттока резервов во время текущей коррекции рынка. Данные были зафиксированы до объявления о конвертации фонда SAFU в BTC и не учитывают будущие покупки.

Пользовательская активность стабильна: ежедневные потоки BTC — $75,2K
Среднесуточные потоки биткоина на Binance по состоянию на 2 февраля составляют $75,2K — уровень, соответствующий нормам с середины 2023 года. Отсутствие резких скачков вывода средств показывает, что пользователи сохраняют доверие к платформе, несмотря на общее усиление рыночного страха.

Соотношение чистого потока к резервам — всего 0,006
В январе показатель чистого потока к резервам составил 0,006, что означает, что чистые потоки составляют лишь 0,6% от общего объёма резервов. Такой уровень указывает на здоровое состояние ликвидности и отсутствие признаков давления на резервы. Для сравнения: в декабре 2022 года во время краха FTX этот показатель достигал - 0,12, что отражало массовый отток средств. На фоне этого Binance остаётся одной из самых устойчивых платформ, тогда как небольшие биржи фиксируют снижение резервов на 5–9%.

Присоединяйтесь к обсуждению и следите за обновлениями
On‑chain данные продолжают подтверждать устойчивость Binance и доверие пользователей. Следите за аналитикой, принимайте взвешенные решения и оставайтесь в курсе ключевых изменений рынка.

#Binance #onchaindata #CryptoAnalytics #BitcoinReserveShift #CryptoMarket

I’ll explain what on-chain data is, how and why is it so important, and how it regards security, transparency, and traceability within the blockchain
Every Blockchain enthusiast has encountered the terms on-chain data, on-chain transactions, analysis, metrics, and so on. If you’ve just entered said space, then you need to learn said terms really fast, because they can be very tricky.
We’ll explain what on-chain data is, how and why is it so important, and how it regards security, transparency, and traceability within the blockchain.
Understanding on-chain data
On-chain data includes several metrics, recorded on the blockchain. It includes transaction details, wallet addresses, block info, and several other metrics, all linked to network activities. Unlike off-chain data, on-chain is recorded and verified on the blockchain.
Types of on-chain data in detail
Transaction data include details about specific transactions, like the addresses of the sender and receiver, timestamps, amounts of the transaction, and more.
The wallet data contains information about addresses, balances, and activities. It can help with identifying big holders or large asset movements.
Block data – contains information about blocks – size, miner or validator, rewards, as well as the number of transactions.
Smart contract data – goes only for blockchains that support smart contracts; it may include interactions with dApps or protocols.
On-chain vs. off-chain data
There are several differences between on and off-chain data. Off-chain transactions are not fully executed and a blockchain, as on-chain transactions that take part on the blockchain get recorded.
On the blockchain, an off-chain transaction can occur in several ways, like an exchange of private keys, which allows full access to the owner’s assets.
What makes off-chain transactions necessary?
But what makes off-chain transactions necessary? One issue can be high transaction costs for crypto exchange. In the case of a small amount, the miner’s fee can be larger than the one transferred. This makes such transactions economically unfeasible.
Furthermore, on-chain transactions can be limited in terms of speed and size. This can make storing a large amount of data on-chain expensive. There are also privacy concerns regarding on-chain transactions. Off-chain transactions cannot be tracked or traced.
Importance of on-chain analysis
All the mentioned data needs to be analyzed. On-chain analysis holds critical importance for the success of the investment, the safety of the assets and the speed of the transaction. Here’s how on-chain data and analysis are connected and what to look for.
Transparency – all data on the blockchain can be accessed publicly. This provides a high degree of transparency, as it allows users to verify transactions and activity.
Market sentiment analysis provides info on wallet movements and transaction volumes. That way traders can gauge market sentiment and speculate about any further price movements.
Traders can identify trends through historical on-chain data. This data can help them make successful investments.
On-chain analysis can be used to detect anomalies. Such unusual activities come in the form of large transfers, sudden changes in volume, or other fluctuations. All of them can be indicative of market manipulations or other harmful events.
Practical use
On-chain analysis has quite several practical applications in the Bitcoin sector. One can use it to improve traders', investors', and analysts' understanding of market dynamics and health, therefore making decisions with full knowledge of the facts. Here are some common use cases for on-chain analysis:
Whale watching
Whale watching is tracking major wallet addresses to understand the behavior of major holders, popularly called whales, and how their actions might impact the market.
Security measures
On-chain analysis may be used to identify exploits, hackers, and scams which would alert in case of unusual patterns or transactions indicative of breaches in security. This would be excellent for the education of the crypto community, protection of assets, and harm containment.
Network Health
Indicators such as transaction volume, network fees, and active addresses present a general view of the health of a blockchain network.
Compliance and security
This flow of funds guarantees regulatory compliance and security.
Key metrics
On-chain metrics are parameters relating to activities taking place on a particular blockchain, which helps traders and investors in making an informed decision. Some of the essential metrics in on-chain analysis are given below, which present traders with a complete perspective on different blockchain activities.
Active addresses
It is just the number of unique addresses holding some involvement in transactions within some stipulated timeframe. It is a measure of user activity on the network.
High transaction volume might be an indicator of high network utilization.
Network fees
Network fees are charges levied for processing transactions on a blockchain. Analyzing charge trends is a way to get some useful information about network congestion and user behavior.
Large Markets of Blockchain Data and Analytics Tools
The energy, time, and money required to run a node, store, and maintain a copy of a whole Blockchain are beyond the reach of any user or business. To logically gather, structure, and analyze collected Blockchain data is significantly more complicated.
Fortunately, in the last couple of years, several companies have developed that provide clients with detailed on- and off-chain data. Here are some of the large blockchain tool proviers around.
Coin Metrics
Coin Metrics was founded in 2017 to provide rich market insights to investors about all major cryptocurrencies. Coin Metrics offers four products:
Network data, including such items as visualization tools, on-chain exchange flows, currency age metrics, and transaction histories.
Market data for the top 20 exchanges globally.
Indexes
Third-party data, like a Twitter sentiment feed.
Coin Metrics also offers a formula builder and heritage and reference rate charts.
Glassnode
Glassnode is based in Switzerland. Glassnode has built a reputation in the Blockchain space for its continually growing product of ground-breaking on-chain indicators. Their web platform is very easy to use due to great user experience.
Even on a free subscription, there are a significant number of data points one can access. Glassnode also releases in-depth reports on on-chain data regularly. Moreover, Glassnode has a free "academy" that allows users to learn about different on-chain analysis concepts and indicators.
Dappradar
Dappradar tracks over 3,000 dapps in real-time. The site acts as a gateway to a ranking for the most popular apps that run on distributed computing systems. In addition, Dappradar functions as a distribution mechanism for the developers and offers advertising services meant to increase the outreach for new dapps.
In conclusion
On-chain data is a necessity for the running of a blockchain network. It acts like a digital, public ledger in which all the transactions on the blockchain are kept. The data is transparent and immutable, meaning it's open for everyone to view and, once recorded, cannot be altered.
On-chain data analysis is a developing field with new tools and methodologies springing up constantly. This powerful toolkit enables anyone who wants to get a feel of the inner machinery of a blockchain network and make informed judgments within the bitcoin ecosystem.
Frequently asked questions
What is on-chain data?
On-chain data is information recorded in real-time on the blockchain. The data gives details of a transaction, wallet addresses, block information, and integration metrics relevant to the network.
Why is this on-chain data important?
On-chain data makes the blockchain environment transparent, safe, and traceable since it gives immutable and transparent public records. In that regard, it can report that actions and transactions might be verified and analyzed.
How does on-chain data scale up to influence the general operations or working of the blockchain network?
On-chain data represents a digital, public record for blockchain transactions. In on-chain data, transparency and immutability form the identity basis of blockchain transactions, contributing to the integrity and reliability of blockchain.
#onchaindata #Onchain

Exchange reserves are an important on-chain metric that helps us understand how much crypto is sitting on centralized exchanges.
This data does not predict price, but it gives useful insight into market behavior.
What Are Exchange Reserves?
Exchange reserves show the amount of cryptocurrency stored on exchanges.
Coins on exchanges are usually ready to be tradedCoins moved away from exchanges are often held in wallets
This makes exchange reserves a behavior indicator, not a trading signal.
Increase vs Decrease: What It Means
Increase in reserves:
More coins are moved to exchanges, which can mean users want liquidity or flexibility.
Decrease in reserves:
Coins are withdrawn from exchanges, often for long-term holding or storage.
Neither is good or bad by itself — context matters.

This chart shows a conceptual trend of exchange reserves over time, helping explain how on-chain data reflects market behavior rather than price direction.
Current Trend (General View)
In general market phases, exchange reserves tend to move slowly, not suddenly.
Gradual changes usually reflect normal investor behavior rather than panic or excitement.
This is why long-term trends are more important than daily movements.
Why Long-Term Investors Care
Long-term investors watch exchange reserves because:
They reflect holding behaviorThey help understand supply availabilityThey show confidence over time, not short-term noise
For investors, this metric is about patience and positioning, not timing the market.

#CryptoMarket
#OnChainData
#ExchangeReserves
#BinanceSquare
#BlockchainBasics

The crypto market often attracts extreme narratives when volatility, uncertainty, and social media hype collide. Bold claims can spread fast — blurring the line between satire, speculation, and serious analysis. When topics involve Bitcoin’s origins or XRP’s long-term price, emotions amplify instantly.
A recent viral post by trader Demetrius Remmiegius reignited debate on X, linking dramatic $BTC and $XRP price predictions to claims about Satoshi Nakamoto’s identity. The post gained traction — but data tells a very different story.

🔹 Satoshi Nakamoto: Still Unidentified
Despite years of theories, no verified evidence has ever confirmed Satoshi Nakamoto’s identity.
• No cryptographic proof
• No signed messages
• No official documentation
Markets continue to operate under the assumption that Satoshi remains unknown — and Bitcoin has never been priced on any confirmed identity reveal.
🔹 Bitcoin to $2,000? The Data Says No
A drop to $2,000 would require a 95%+ collapse, implying total systemic failure across:
• Exchanges
• Miners
• Institutional treasuries
• Global liquidity
Current on-chain data, miner behavior, exchange reserves, and macro indicators show no signs of an imminent structural breakdown. Volatility ≠ collapse.
🔹 XRP at $104,000: Reality Check
The $104,333 XRP projection relies on symbolic math, not valuation models.
Even the most optimistic adoption scenarios must account for:
• Supply dynamics
• Capital inflows
• Realistic institutional demand
A six-figure XRP price would imply a market cap exceeding global liquidity levels — something no credible financial model supports.
🔹 Cultural References Aren’t Indicators
Pop-culture signals (like The Simpsons) are part of crypto folklore. Analysts treat them as entertainment — not predictive tools. Sustainable analysis is built on data, not coincidences.
🔹 Virality ≠ Fundamentals
Viral posts thrive during emotional market phases, but they don’t change fundamentals.
Markets move on liquidity, adoption, regulation, and macro conditions — not unverified identities or symbolic numerology.
Bottom line:
Noise travels fast. Fundamentals last longer.
Stay analytical. Stay grounded.

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