The Sell-Side Risk Ratio assesses market equilibrium by comparing spent coins to their cost basis. High values indicate large profits or losses on spent coins, suggesting market imbalance and often following high volatility. Low values show coins spent near break-even, indicating equilibrium and low volatility. Currently, the ratio is in the lower band, meaning most on-chain transactions are near acquisition prices. This state, like other metrics mentioned, typically precedes a period of increased market volatility. The current low ratio suggests the market may be poised for a significant shift in price action.
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What Is the Solana Virtual Machine (SVM)? The Solana Virtual Machine, or SVM, is the system powering Solana's ability to handle thousands of transactions per second. In simple terms, SVM is Solana's execution environment. It's the software that runs and…
What Is Sealevel and How Does It Enable Parallel Processing in SVM?
Now here's where things get really interesting! SVM’s secret weapon is called Sealevel. Never heard of it? Let's shed some light.
Sealevel is like a turbocharger for transaction processing. It enables SVM to execute multiple transactions at the same time in parallel.
Most networks can only process one transaction at a time, but Sealevel cracks the code on parallel processing. It identifies which transactions can run simultaneously without conflict.
This means if two transactions aren't accessing the same data, Sealevel can handle them at the same time across the validators' multi-core processors.
How Are Smart Contracts Deployed and Executed on the Solana Virtual Machine?
Alright, enough tech jargon. Let's get practical. Say you just developed an amazing Solana smart contract. How does it actually run on SVM?
When you deploy that smart contract, it publishes the code to all the validators across the network. Each one receives a copy.
The contract then starts executing. Whenever it needs to alter Solana's state, like transferring tokens, it communicates those instructions to the Solana runtime.
The runtime passes those requests along to all the individual SVMs, which then interpret and execute the instructions to actually update Solana's state.
Now here's where things get really interesting! SVM’s secret weapon is called Sealevel. Never heard of it? Let's shed some light.
Sealevel is like a turbocharger for transaction processing. It enables SVM to execute multiple transactions at the same time in parallel.
Most networks can only process one transaction at a time, but Sealevel cracks the code on parallel processing. It identifies which transactions can run simultaneously without conflict.
This means if two transactions aren't accessing the same data, Sealevel can handle them at the same time across the validators' multi-core processors.
How Are Smart Contracts Deployed and Executed on the Solana Virtual Machine?
Alright, enough tech jargon. Let's get practical. Say you just developed an amazing Solana smart contract. How does it actually run on SVM?
When you deploy that smart contract, it publishes the code to all the validators across the network. Each one receives a copy.
The contract then starts executing. Whenever it needs to alter Solana's state, like transferring tokens, it communicates those instructions to the Solana runtime.
The runtime passes those requests along to all the individual SVMs, which then interpret and execute the instructions to actually update Solana's state.
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#BITCOIN WEEKLY TF UPDATE : #BITCOIN on Weekly TF, going to be a fakeout now on weekly, candle nearly getting closing and might got engulfed too. Price can do a good correction in case of a engulfing.
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#DXY UPDATE : #DXY gave a good closing below the support and had a retest too. Candle was strong enough for closing, so we can expect market of rally. The only problem is current, weekly close above, might turn into a fakeout.
Net realized profit/loss is currently at a value of +$15M/day, a far cry from the $3.6B/day of capital inflow experienced as the market set the $73k ATH in March. Typically, this metric returns to a neutral level near inflection points such as a continuation of the trend or a reversal back into a macro scale bearish trend.
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#BTC did broke the wedge pattern but already said, Major Resistance Standing strong enough. Price nearly filled out the bottom wick and can expected a sweep or lower low to form.
#BTC made a weekly closing with a good large wick and body too. Price printed a lower low as expected and broke the channel pattern. In LTF, price forming a bear flag which could potentially lead the price lower.
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#US30 UPDATE : #US30 perfectly got it retest back to support zone and even wick down taking all liquidity to the market. Now, index printed the All-Time Highs and a potential retest is expected towards the support zone of 41,330 - 41,370. Alternatively, a…
The Bitcoin supply held in the 3-6 month age band has seen a surge in loss-taking since July, with the capitulation's magnitude resembling past market inflection points. However, the remaining supply in this age band is nearing Long-Term Holder status, indicating decreasing sell pressure and a potential market turning point.
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#BTC made a weekly closing with a good large wick and body too. Price printed a lower low as expected and broke the channel pattern. In LTF, price forming a bear flag which could potentially lead the price lower.
#BTC had a short-term pullback and reached near towards the major resistance area and kinda rejecting. Structure now turned bullish at the moment and need to see a break and close of the resistance.
#URPD metric, segregated for Long and Short-Term Holders. Here, we can see that over +480k BTC was acquired above the current spot price and is now classified as LTH supply 🟦.
This also means these LTH coins are now held at an unrealized loss.
This also means these LTH coins are now held at an unrealized loss.
What is URPD (UTXO Realized Price Distribution) ?
#URPD stands for UTXO Realized Price Distribution, to analyze the distribution of Bitcoin's realized prices based on the age of the UTXOs (Unspent Transaction Outputs) or in other words #UTXO Realized Price Distribution (URPD) shows at which prices the current set of Bitcoin UTXOs were created (i.e. each bar shows the amount of existing bitcoins that last moved within that specified price bucket). The price specified on the x-axis refers to the lower bound of that bucket.
The UTXO Realized Price Distribution helps to understand the average cost basis of Bitcoin holders based on when they acquired their coins. It divides the UTXOs into different age groups, such as those acquired within the last 30 days, 90 days, 180 days, and so on, and calculates the average price at which those coins were last moved.
This metric provides insights into the behavior of long-term holders (HODLers) and short-term traders. It allows analysts to determine the levels at which different cohorts of Bitcoin holders may be willing to sell their coins, as well as the potential price levels at which they acquired their holdings.
By analyzing the URPD, one can gain a deeper understanding of the distribution of Bitcoin's realized prices across various time frames and identify potential price points where significant buying or selling pressure may emerge.
#URPD stands for UTXO Realized Price Distribution, to analyze the distribution of Bitcoin's realized prices based on the age of the UTXOs (Unspent Transaction Outputs) or in other words #UTXO Realized Price Distribution (URPD) shows at which prices the current set of Bitcoin UTXOs were created (i.e. each bar shows the amount of existing bitcoins that last moved within that specified price bucket). The price specified on the x-axis refers to the lower bound of that bucket.
The UTXO Realized Price Distribution helps to understand the average cost basis of Bitcoin holders based on when they acquired their coins. It divides the UTXOs into different age groups, such as those acquired within the last 30 days, 90 days, 180 days, and so on, and calculates the average price at which those coins were last moved.
This metric provides insights into the behavior of long-term holders (HODLers) and short-term traders. It allows analysts to determine the levels at which different cohorts of Bitcoin holders may be willing to sell their coins, as well as the potential price levels at which they acquired their holdings.
By analyzing the URPD, one can gain a deeper understanding of the distribution of Bitcoin's realized prices across various time frames and identify potential price points where significant buying or selling pressure may emerge.