Lucky Love Crypto

Di seguito sono riportati i punti che ho trovato personalmente più preziosi:
Ray Dalio crede che gli Stati Uniti e l'attuale ordine mondiale siano nella Fase 5 di un ciclo di sei fasi. Questa è una fase di 'crisi', caratterizzata da gravi conflitti interni, un enorme debito pubblico e un declino della posizione globale rispetto alle potenze emergenti.
1. Lezioni sull'oro: “L'oro è denaro, non una merce speculativa”
Una delle più grandi idee sbagliate tra gli investitori al dettaglio è trattare l'oro come un'azione o una merce commerciabile per un profitto a breve termine.

Mentre gli stablecoin hanno dimostrato che le blockchain possono gestire denaro, la tokenizzazione degli Asset del Mondo Reale (RWA) rappresenta il passo successivo: spostare gli asset finanziari convenzionali sulla catena per fornire maggiore efficienza, trasparenza e accessibilità globale rispetto ai sistemi off-chain.
$LINK
Il cambiamento è già in corso. Colossi finanziari come BlackRock, Franklin Templeton e JPMorgan hanno lanciato prodotti tokenizzati che ora gestiscono miliardi in asset e volumi giornalieri. La piattaforma Kinexys di JPMorgan elabora volumi giornalieri superiori a $2 miliardi, alimentando prestiti collaterali a breve termine tra istituzioni e processi di regolamento tokenizzati. Ciò che era iniziato come esperimenti nativi delle criptovalute ha ora attratto i più grandi gestori di asset del mondo.

The Centralized Exchange Model
When institutional traders need to execute a $100 million BTC position, they generally don't turn to decentralized protocols. Instead, they rely on centralized exchanges (CEXs) that can handle the scale, speed, and complexity their strategies demand. CEXs operate as custodial venues that maintain internal order books, run matching engines, and hold client collateral, unlike their decentralized counterparts.
This architecture enables the complex financial products and high-frequency trading that characterizes modern crypto markets. The custodial model allows CEXs to offer leverage, sophisticated order types, and institutional-grade features, but introduces counterparty risk, a fundamental trade-off that shapes how different market participants engage with these platforms.
Understanding crypto market structure requires examining how products, infrastructure, and participants interconnect. We'll start with exchange products: spot, perpetuals, options, and futures. Then we'll examine how different regulatory frameworks shape venue offerings and institutional adoption pathways including ETFs and corporate treasury strategies.
With this foundation in place, we'll explore execution mechanics: how orders interact with liquidity, why latency matters, and how sophisticated traders minimize market impact and slippage. This naturally leads to market makers, the firms that continuously supply the liquidity enabling efficient execution. We'll then examine risk management frameworks such as margin modes, liquidation mechanics, and hedging strategies before turning to the analytical tools traders use to read market signals through open interest and volatility metrics. Together, these elements form an interconnected system where products enable strategies, strategies require liquidity, and liquidity demands sophisticated risk management.
Spot Markets: The Foundation
While derivatives grab headlines with their leverage and complexity, spot trading remains the bedrock of crypto markets. At its core, spot trading is straightforward: the immediate exchange of one asset for another, like converting USD to $BTC . Most CEXs maintain banking connections that allow fiat deposits. When a trade executes, ownership transfers on the exchange's internal ledger, with the option to withdraw assets on-chain.
This simple product differs from traditional exchanges in three fundamental ways. First, most trading occurs in stablecoin pairs ($USDT , $USDC ) rather than fiat currency. This creates a dollar-denominated but blockchain-native trading ecosystem, but it also means stablecoins serve as far more than a quoting convention: they are the settlement layer, the dominant collateral type, and the base currency for virtually every product and strategy covered in this chapter. The systemic risk this creates is examined in Section V; stablecoin mechanics themselves are covered in Chapter IX. Second, markets operate continuously, 24/7 with no fixed hours or holidays. This enables constant price discovery and liquidity provision, though individual venues may still experience maintenance windows or trading halts. Third, spot trades settle instantly (T+0) on the exchange's internal ledger, far faster than the T+1 or T+2 settlement in traditional equities. Withdrawing assets to on-chain addresses, however, requires blockchain confirmation times that vary by network congestion and security requirements.
Spot trading comes in two primary forms. Unlevered spot carries no liquidation risk, as traders use only their existing capital. Margin spot trading involves borrowing funds to amplify position size, which introduces liquidation risk.
These markets serve multiple critical functions. Traders use them for portfolio rebalancing, treasury management, hedging the price gap between spot and derivatives (known as basis), and settling profit and loss from complex strategies.
Alongside centralized venues, on-chain spot markets (covered in depth in Chapter VII) have become meaningful for price discovery and liquidity, especially for long-tail assets. Many tokens now begin their lifecycle entirely on-chain, trading first on AMMs and on-chain order books before reaching major CEXs. Solana memecoins and highly speculative assets exemplify this pattern. DEXs typically account for 10 to 20% of global spot volumes, with some months exceeding one-fifth of total activity. These figures are sensitive to how data providers treat incentivized and wash trading, but the trend is clear: on-chain spot is no longer a rounding error.

Crypto companies have been operating in a regulatory gray area which executives say has stymied their businesses. The Clarity Act bill aims to create clear regulations that should help promote cryptocurrency adoption, say its supporters.
The bill stalled in January because banks opposed a provision allowing stablecoin issuers and crypto firms to offer yield-bearing ​products and other rewards that could lure away bank deposits, making it harder for them to fund lending.
Crypto giants such as Coinbase (COIN.O), opens new tab say they must be able to offer rewards to recruit ​customers, and barring them would be anticompetitive. The bank Standard Chartered has estimated, meanwhile, that stablecoins could pull around $500 billion in deposits out of U.S. banks by ⁠the end of 2028.
The White House last month stepped in to broker a deal, Reuters reported. Its compromise would allow stablecoin rewards in some circumstances, such as peer-to-peer payments, but not on idle holdings, said four ​people who asked for anonymity to discuss the private talks.
Crypto companies have come around to that compromise, but banks have said they cannot support it, said two of the people. Banks still want to severely limit ​activities for which rewards can be issued, said a senior White House official. A banking industry source said lenders believe the activities allowed under the compromise could still trigger deposit flight.
Some senators back the banks' position and the industry believes that with their support it can get a better deal, the banking source said. A spokesman for the Senate Banking Committee, which ultimately holds the pen on the text, did not provide comment.
In a statement, the American Bankers Association said lenders had ​offered constructive ideas to advance the bill without imperiling deposits. "The risks to economic growth and financial stability are real if policymakers don't get this right."
The deadlock has fed doubts about whether the bill will make it ​into law this year, said the sources and analysts. The bill also must overcome disagreements among senators over ethics and illicit finance provisions, and Senate floor time is limited before lawmakers leave Washington in the summer to start campaigning for ‌the mid-term elections.
Chances ⁠for passing a crypto bill would shrink further if Democrats gain seats in the U.S. Congress in November, since Democratic lawmakers are more divided on overhauling federal rules to accommodate cryptocurrencies.
"If this doesn't get passed and put in front of the President's desk, I'd say by July, I think everyone feels that, generally, that window will have been closed because of the mid-terms," said Adrian Wall, managing director of the Digital Sovereignty Alliance, which advocates for pro-crypto policies.
"It will be a tremendous setback that will be very difficult for us to overcome."
'PATH TO A WORKABLE AGREEMENT'
For years, crypto companies have campaigned for legislation establishing when crypto tokens are legally ​considered securities, commodities or otherwise. The industry spent more than $119 ​million backing pro-crypto candidates in 2024, hoping to ⁠advance the Clarity Act and a separate bill paving the way for wider stablecoin adoption, which became law last year.
That law banned stablecoin issuers from paying interest, but banks say it created a loophole that allowed crypto exchanges and other intermediaries to offer rewards, and they want the Clarity Act to eliminate that.
In addition to ​the ABA, executives from Coinbase and Ripple, and trade groups from both industries including crypto group the Blockchain Association have been involved in the talks, ​the sources said.
In a statement, Summer ⁠Mersinger, CEO of the Blockchain Association, said "the path to a workable agreement is clearer than it was a month ago."
Ripple did not provide comment, but it has publicly cheered the White House's efforts to get a deal.
FURTHER CHALLENGES AHEAD
To pass, the bill needs support in the Senate from at least seven Democrats. Some Democrats want the bill to ban elected officials from profiting from crypto ventures. That provision is aimed at the Trump family's World Liberty Financial, ⁠and Trump is ​unlikely to sign it into law, analysts speculate. Other lawmakers have called for the bill to include tighter anti-money laundering rules.
Once ​those issues are resolved, the Senate Banking draft must be reconciled with a Senate Agriculture Committee draft, and the final version must then compete for floor time with other bills including housing policy reform, another Trump priority.
The war in Iran is making it even ​harder to pass the crypto bill this year, Brian Gardner, chief Washington strategist at Stifel, wrote in a Tuesday note.
"The calendar is becoming the enemy of this bill," he added.
Source: Reuters
@Binance Vietnam #CreatorpadVN $BNB

After identifying several key shifts in bitcoin’s market structure, including lower volatility, larger market cap, and institutional adoption, it is important to examine how these changes have affected various data sets. $BTC
There are many different approaches to compare bitcoin’s historical cycles, but this analysis will focus strictly on the period in each cycle when the percentage of addresses in profit first exceeded 95% to the instance where it last remained above 95%. Using this strict framework allows for a clearer understanding of each bull market environment and helps to identify potential deviations in the current cycle.
More specifically, the following timeframes will be compared: 
2013 Cycle: January 21, 2013 – December 4, 20132017 Cycle: June 12, 2016 – January 6, 20182021 Cycle: August 1, 2020 – November 15, 20212025 Cycle: February 26, 2024 – October 26, 2025
The first metric reviewed was bitcoin’s market value to realized value (MVRV). This compares bitcoin’s market value to realized value over time by dividing market cap by realized cap (realized cap representing the total amount of capital invested in an asset).
The data in this current cycle reflects a notably stable bitcoin as its market cap has remained roughly twice the realized cap throughout most of the bull market. When compared with previous cycles, as seen on the chart “Bitcoin’s Entity-Adjusted Market Value to Realized Value,” past cycles appear more erratic, exhibiting pronounced shifts to the upside during high-profit conditions:

This means that over the last year and a half, bitcoin has largely been valued within a reasonable range relative to the total capital invested. Despite elevated profit levels, the market cap has primarily remained between two to three times the realized cap.
By comparison, during the 2013 bull market, bitcoin’s market cap reached six times the value of realized cap. Moreover, the 2017 and 2021 cycles both saw market cap reach four times the value of realized cap.
The 2025 cycle’s more subdued activity offers insight into how bitcoin may be behaving differently as a larger, more liquid asset. If bitcoin’s market cap were to reach even four times the value of realized cap this cycle, it would imply a market cap of roughly $4.5 trillion and a bitcoin price of roughly $225,000 as of February 2, 2026.
The next metric that signals the possibility of a more mature bitcoin market is the Puell Multiple, which is calculated by dividing the value of the daily issuance of bitcoin by the value of the 365-day moving average of daily issuance.
By incorporating bitcoin’s annual supply issuance, the Puell Multiple provides an effective gauge as to whether significant price deviations have occurred within the past year. As demonstrated in the chart “Bitcoin’s Puell Multiple,” the metric has remained remarkably close to one throughout the current cycle. This means that the value of the daily issuance has not deviated much from the 365-day moving average. 

Moreover, from the 2013 cycle to today, each successive cycle has had less dramatic swings, showing the maturation of bitcoin over the years and making the current cycle appear comparatively restrained.
Lastly, the Fidelity Digital Assets Research team created a new metric, the “Profit to Volatility Ratio.” This metric calculates the percentage of bitcoin addresses in profit divided by one-year realized volatility, providing insight into the overall stability of the bitcoin market over time.
A measurement above 0.01 can be considered very stable, as achieving such a result requires both generally high profit and generally low volatility. Conversely, a measurement below 0.01 should be viewed with caution, as it indicates that profit is falling swiftly, volatility is swiftly rising, or a combination of both. 

As shown in the chart “Bitcoin’s Profit to Volatility Cycles,” each previous cycle has seen this ratio trend lower over time, driven largely by rising volatility, given that this analysis focuses on periods of high profit.
This is very different compared to the current cycle, where persistently high profit is occurring alongside declining volatility. To reiterate, in each previous cycle, the downward trajectory of this metric suggested increasing volatility as profit persisted, a pattern more akin to traditional boom-and-bust dynamics. However, the current data reflects a divergence in behavior.
If this cycle is indeed different, as the data suggests, and a classic boom-bust pattern is not the likely outcome, it would be reasonable to anticipate that the chances of a prolonged bear market are lower as well.
In fact, the notable stability showcased over the last year and a half may suggest that while bitcoin is not rising to dramatic new heights, it is also avoiding steep lows. In an extended environment of high profit and low volatility, bitcoin may simply grind higher over time without the extreme swings that defined earlier cycles.
Lastly, when examining the full history of the “Bitcoin’s Profit to Volatility Ratio” chart, it can be seen that the ratio has remained above 0.015 since late 2023. This suggests a more stable bitcoin for over two years, the longest sustained period at these levels in the asset’s history. Moreover, bitcoin remains well above the 0.01 threshold identified earlier, even as a recent downturn in price brought the asset below $70,000 as of February 2026.

@Binance Vietnam #CreatorpadVN $BNB

Backtested data and forward-looking models found that dollar-cost averaging Bitcoin buys is the best way to invest in BTC. Will the strategy work in the next bull market?
Smart investors adjust their strategy during bear markets and 50% drawdowns like the one seen in Bitcoin over the last 5 months. The strategy, known as dollar-cost averaging (DCA), involves investing the same amount at regular intervals regardless of market conditions.
Historical market cycle data and forward-looking BTC price simulations provide a clearer view of how these steady investment patterns develop across different entry periods and time horizons.
A 5-year Bitcoin DCA stack shows strong net gains
A $250 weekly Bitcoin purchase starting in January 2021 resulted in $67,500 invested over a five-year period. Based on DCA simulation data, the strategy accumulated 1.65097905 BTC at an average purchase price of $40,884.
At the current Bitcoin price near $71,000, that 1.65097905 BTC is valued at roughly $120,518, representing a $53,018 gain (76%) on the invested capital. When Bitcoin traded for $100,000, the holdings were worth about $165,098, while at the cycle peak near $126,000 in October 2025, the same amount reached $208,023

A shorter accumulation window illustrates how entry timing changes the early outcome while the strategy continues building exposure. A $250 weekly DCA beginning January 2024 results in $28,500 invested, accumulating 0.36863166 BTC with an average purchase price of $77,312.
At the current price of $71000, the amount is valued at around $26,909, a –6% unrealized loss. At $100,000, the holdings had risen to $36,863, while a $126,000 cycle high valued the Bitcoin to $46,448.
In a February X, Swan Bitcoin analyst Adam Livingston compared a similar DCA approach against equities over the past five years. A $100 weekly allocation produced $42,508 in Bitcoin versus $37,470 in S&P 500 (SPX), representing 62.9% and 43.6% returns, respectively.
Livingston noted that purchasing Bitcoin consistently during drawdowns has historically produced stronger cumulative returns despite the price volatility.

Long-term models emphasize the time horizon
Forward-looking simulations examine how the DCA strategy could work from 2026 onward. A $250 weekly DCA beginning January 2026 allocates about $54,250 by March 2030.
The price assumptions come from Bitcoin’s long-term power-law growth curve, which tracks Bitcoin’s historical price relative to time on a logarithmic scale. The model produces a rising support band and median trend that have broadly aligned with previous market cycles.

Using this framework, analysts estimate that by 2028, the long-term trend support may move above $100,000, forming the base assumption for future DCA modeling. Simulations from Bitcoin Well place the median price near $430,278 by March 2030.
To capture the wider range around that path, the model also considers deviation bands of the power-law channel, producing a lower projection near $274,000 and an upper expansion scenario near $900,000.
Under those assumptions, the weekly strategy accumulates roughly 0.30 BTC over four years.
At $274,000, the holdings are worth about $82,200.At the $430,278 median estimate, the investment value reaches $129,000.At a $900,000 BTC price, the investment is worth nearly $270,000.

A November 2025 study by Bitcoin researcher Sminston With tested how the entry timing affects the long-term outcomes using similar projections. Even buying 20% above $94,000 (the price of BTC at that time) and exiting 20% below the projected 2035 median still produced nearly 300% gains on the remaining holdings after a decade.
The total savings reached 7.7 times the initial capital in the simulation.
The study concluded that entry timing adjusts the range of outcomes, while long holding periods drive the majority of the results.
$BTC
Source: Cointelegraph
@Binance Vietnam #CreatorpadVN $BNB

Sezione I: Architettura ed Esecuzione
Solana rappresenta un approccio fondamentalmente diverso alla scalabilità della blockchain. Mentre Ethereum (Capitolo II) e Bitcoin (Capitolo I) sono anche blockchain di Livello 1 (L1), il che significa che sono reti di base che operano in modo indipendente e regolano le proprie transazioni, Solana fa scelte ingegneristiche radicalmente diverse. Dà priorità alla velocità e alla capacità di elaborazione rispetto al mantenimento dei requisiti hardware bassi, scommettendo che i computer potenti diventeranno più economici più rapidamente di quanto la domanda di blockchain crescerà.

Questo grafico, proveniente da MSCI e pubblicato da Humans Under Management, illustra un potente concetto di investimento: i mercati azionari tendono a crescere nel tempo nonostante un flusso costante di eventi negativi nel mondo.

Il Messaggio Chiave
$1 investito alla fine di dicembre 1994 è cresciuto a $5.69 entro la fine del 2024 — un rendimento annuo medio del 6,2% (o 8,0% con i dividendi reinvestiti). Questo è accaduto nonostante ogni crisi etichettata nel grafico.
Cosa Viene Mostrato
La linea nera è l'Indice MSCI World — una misura ampia delle performance del mercato azionario globale — dal 1995 al 2024. Ogni punto etichettato segna un evento negativo importante, codificato a colori per categoria:

At Ethereum's core lies the Ethereum Virtual Machine (EVM), a computational engine that executes code across thousands of computers (called nodes) simultaneously. Unlike Bitcoin, which primarily transfers value, Ethereum runs smart contracts, transforming the network from a simple payment system into a programmable "world computer."
The EVM operates as a stack-based virtual machine, processing instructions like a stack of plates where you can only add or remove from the top. It uses low-level instructions called opcodes. These include operations like ADD, MULTIPLY, STORE, and CALL. When developers write smart contracts in high-level languages like Solidity or Vyper, compilers translate that code into EVM bytecode (a series of opcodes) that every Ethereum node can execute. This standardization ensures contracts behave identically whether running in New York, Singapore, or Dubai.
What distinguishes the EVM is its combination of deterministic execution with persistent state management. Every smart contract maintains its own storage space where it saves data between transactions. When someone interacts with a contract, like swapping tokens on Uniswap or borrowing from Aave, the EVM executes the relevant bytecode, reads and writes to storage, and updates account balances. Every node independently performs these same computations and verifies they reach identical final states. This process creates decentralized consensus: Ethereum becomes trustworthy without requiring trust in any single party, since thousands of independently run nodes all verify the same results.
Each operation consumes gas, a fee measured in computational work. Gas serves two critical purposes: it compensates node operators for executing computations and prevents spam by making every operation cost something. More complex operations require more gas, which explains why simple transfers cost less than deploying intricate smart contracts. This metering ensures no transaction runs indefinitely, mitigating resource-exhaustion attacks.
The gas mechanism aims to price operations roughly in line with their actual resource usage. Early attacks exploited underpriced operations, prompting Ethereum to adjust opcode costs over time. These adjustments increased prices for operations that proved too cheap relative to their computational demands, reducing opportunities for denial-of-service attacks and better reflecting underlying resource costs.
The EVM has evolved into a de facto standard extending far beyond Ethereum itself. Most rollups (Arbitrum, Optimism, Base) and many alternative L1s have adopted EVM compatibility, meaning they execute the same bytecode. This compatibility creates enormous value: applications like Uniswap and Aave deploy to these networks with minimal changes, while the entire infrastructure ecosystem (wallets like MetaMask, block explorers, developer tools, indexers) functions almost identically across EVM chains. New blockchains can bootstrap activity by inheriting Ethereum's mature tooling and attracting existing users and developers without requiring them to learn new paradigms. These network effects reinforce Ethereum's dominance.
This computational model explains Ethereum's scaling challenges. Since every full node replays every transaction in order, Ethereum functions as a globally replicated computer. Protocol parameters like gas limits and block times must remain conservative enough for ordinary machines to keep up. Pushing more computation on-chain risks raising hardware requirements and eroding the decentralization that makes the network secure.
Rollups and other scaling solutions address this constraint by moving most execution off Ethereum while using the base layer primarily for data availability and final settlement. They batch many off-chain transactions together, posting only compressed data and (in some designs) validity proofs back to Ethereum. This allows many users to share the gas cost of a single L1 transaction, dramatically lowering fees and increasing effective throughput while still inheriting Ethereum's security.
Understanding the EVM reveals both Ethereum's power (arbitrary programmable logic secured by neutral consensus) and its limitations. The base layer remains a fully replicated machine where every computation is verified everywhere, making raw throughput fundamentally scarce. Higher scale must therefore come from layering and smarter use of that scarce resource.
$ETH
@Binance Vietnam #CreatorpadVN $BNB