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Quantum computers and the Bitcoin blockchain
An analysis of the impact quantum computers might have on the Bitcoin blockchain
April 25, 2024
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To be fully 100% transparent with you all, I am not and refuse to invest in any Bitcoin. As a matter of fact I am probably one of the most Anti-Bitcoin individuals you will ever meet. This is mainly due to the below and the simple fact that it is overmarketed by the very institutions it is supposed to be against.  ~The Dinarian

One of the most well-known applications of quantum computers is breaking the mathematical difficulty underlying most of currently used cryptography. Since Google announced that it achieved quantum supremacy there has been an increasing number of articles on the web predicting the demise of currently used cryptography in general, and Bitcoin in particular. The goal of this article is to present a balanced view regarding the risks that quantum computers pose to Bitcoin.

The main focus of this article will be to answer the following questions:

  1. How many Bitcoins could be stolen now if a sufficiently large quantum computer was available?
  2. What can one do to mitigate the risk of Bitcoins being stolen by an adversary with a quantum computer?
  3. Is the Bitcoin blockchain inherently resilient to quantum attacks now and in the future?
 

Quantum computers and cryptography

A great amount of digital ink has been spilled on the topic of how quantum computers pose an existential threat to currently used asymmetric cryptography. We will therefore not discuss this in detail, but only explain the aspects that are relevant for the analysis in this article.

In asymmetric cryptography, a private-public key pair is generated in such a manner that the two keys have a mathematical relation between them. As the name suggests, the private key is kept as secret, while the public key is made publicly available. This allows individuals to produce a digital signature (using their private key) that can be verified by anyone who has the corresponding public key. This scheme is very common in the financial industry to prove authenticity and integrity of transactions.

The security of asymmetric cryptography is based on a mathematical principle called a “one-way function”. This principle dictates that the public key can be easily derived from the private key but not the other way around. All known (classical) algorithms to derive the private key from the public key require an astronomical amount of time to perform such a computation and are therefore not practical. However, in 1994, the mathematician Peter Shor published a quantum algorithm that can break the security assumption of the most common algorithms of asymmetric cryptography. This means that anyone with a sufficiently large quantum computer could use this algorithm to derive a private key from its corresponding public key, and thus, falsify any digital signature.

 

Bitcoin 101

To understand the impact of quantum computers on Bitcoin, we will start with a brief summary about how Bitcoin transactions work. Bitcoin is a decentralized system for transferring value. Unlike the banking system where it is the responsibility of a bank to provide customers with a bank account, a Bitcoin user is responsible for generating his own (random) address. By means of a simple procedure, the user's computer calculates a random Bitcoin address (related to the public key) as well as a secret (private key) that is required in order to perform transactions from this address.

Moving Bitcoins from one address to another is called a transaction. Such a transaction is similar to sending money from one bank account to another. In Bitcoin, the sender must authorize their transaction by providing a digital signature that proves they own the address where the funds are stored. Remember: someone with an operational quantum computer who has your public key could falsify this signature, and therefore potentially spend anyone’s Bitcoins!

In the Bitcoin network, the decision of which transactions are accepted into the network is ultimately left to the so called miners. Miners compete in a race to process the next batch of transactions, also called a block. Whoever wins the race, is allowed to construct the next block, awarding them new coins as they do so. Bitcoin blocks are linked to each other in a sequential manner. Together, they form a chain of blocks, also called the “blockchain”.

The victorious miner who creates a new block, is free to include whichever transaction they wish. Other miners express their agreement by building on top of blocks they agree with. In case of a disagreement, they will build on the most recently accepted block. In other words, if a rogue miner attempts to construct an invalid block, honest miners will ignore the invalid block and build on top of the most recent valid block instead.

 

Address types

Bitcoin transactions allow for a custom logic to be implemented, enabling a myriad of financial transaction types such as escrow and shared ownership. However, for the purpose of this article, we restrict ourselves to simple person-to-person payments. These can be divided into 2 categories, each affected differently by a quantum computer.

In the first type, a public key directly serves as the Bitcoin address of the recipient. A transaction to such an address is called ‘pay to public key’ (p2pk) for obvious reasons. In the early days of Bitcoin, in 2009, this was the dominant address type. Many of the original coins mined by Satoshi Nakamoto himself are still stored in such addresses. One of the issues with these addresses is the lack of a mechanism to detect mistyping of addresses (for example a last checksum digit which is used, for example, in credit card numbers). An additional problem is that these addresses are very long, which results in a larger transaction file and therefore longer processing time. Regarding the threat from a quantum computer, the public key is directly obtainable from the address. Since all transactions in Bitcoin are public, anyone can obtain the public key from any p2pk address. A quantum computer running Shor’s algorithm could then be used to derive the private key from this address. This would allow an adversary who has a quantum computer to spend the coins that the address had.

In the second type of transaction, the address of the recipient is composed of a hash of the public key. As a hash is a one-way cryptographic function, the public key is not directly revealed by the address. The first and most popular implementation of this is called ‘pay to public key hash’ (p2pkh) and was designed to solve the two issues described above (checksum and address length, for a more elaborate explanation we refer to this page. As was mentioned above, the public key cannot be retrieved from the address. The public key is only revealed at the moment when the owner wishes to initiate a transaction. This means that as long as funds have never been transferred from a p2pkh address, the public key is not known and the private key cannot be derived using a quantum computer. There is a ‘but’ though! If funds are ever transferred from a specific p2pkh address (no matter what amount), the public key is revealed. From that moment on, this address is marked "used" and should ideally not be used again to receive new coins. In fact, many wallets are programmed to avoid address reuse as best they can. Avoiding the reuse of addresses is considered best practice for Bitcoin users, but you would be surprised how many people do not take this advice to heart. More on that in the following chapter.

 

How many Bitcoins could be stolen now if sufficiently large quantum computers were available?

Imagine that someone manages to build a quantum computer today and is therefore able to derive private keys. How many Bitcoins will be in danger?

To answer this question, we analyzed the entire Bitcoin blockchain to identify which coins are vulnerable to an attack from a quantum computer. As explained in the previous section, all coins in p2pk addresses and reused p2pkh addresses are vulnerable to a quantum attack. The result of our analysis is presented in the figure below. It shows the distribution of Bitcoins in the various address types over time. As can clearly be seen in the graph, p2pk addresses dominated the Bitcoin blockchain in the first year of its existence. Interestingly, the number of coins in p2pk addresses has stayed practically constant (circa 2M Bitcoins). A reasonable assumption is that these coins were generated through mining and have never been moved from their original address.

As p2pkh was introduced 2010, it quickly became dominant. Most of the coins created since then are stored in this type of address. In the graph we see that the number of Bitcoins stored in reused p2pkh increases from 2010 to 2014, and since then is decreasing slowly to reach the current amount of 2.5M Bitcoins. This suggests that people are generally following the best practice of not using p2pk address as well as not reusing p2pkh addresses. Nevertheless, there are still over 4 million BTC (about 25% of all Bitcoins) which are potentially vulnerable to a quantum attack. At the current price this is over 40 billion USD!

cq5dam.web.700.350.desktop.jpegFigure 1: The distribution of Bitcoins that are stored in address that are vulnerable to quantum attacks. This graph shows that about 25% of all Bitcoins are vulnerable to a quantum attack and that there is an equal number of vulnerable p2pk and p2pkh coins. Note that reused Segwit coins are presented in the graph but are otherwise not mentioned in the article.
 

What can one do to mitigate the risk of Bitcoins being stolen by an adversary with a quantum computer?

In the previous section we explained that p2pk and reused p2pkh addresses are vulnerable to quantum attacks. However, p2pkh addresses that have never been used to spend Bitcoins are safe, as their public keys are not yet public. This means that if you transfer your Bitcoins to a new p2pkh address, then they should not be vulnerable to a quantum attack.

The issue with this approach is that many owners of vulnerable Bitcoins have lost their private keys. These coins cannot be transferred and are waiting to be taken by the first person who manages to build a sufficiently large quantum computer. A way to address this issue is to come to a consensus within the Bitcoin community and provide an ultimatum for people to move their coins to a safe address. After a predefined period, coins in unsafe addresses would become unusable (technically, this means that miner will ignore transactions coming from these addresses). Such a drastic step needs to be considered carefully before implemented, not to mention the complexity of achieving consensus about such a sensitive issue.

 

Is the Bitcoin blockchain inherently resilient to quantum attacks now and in the future?

Let’s assume for a minute that all owners of vulnerable Bitcoins transfer their funds to safe addresses (everyone who lost their private key ‘magically’ finds them). Does that mean that the Bitcoin blockchain is no longer vulnerable to quantum attacks? The answer to this question is actually not that simple. The prerequisite of being “quantum safe” is that the public key associated with this address is not public. But as we explained above, the moment you want to transfer coins from such a “safe” address, you also reveal the public key, making the address vulnerable. From that moment until your transaction is “mined”, an attacker who possesses a quantum computer gets a window of opportunity to steal your coins. In such an attack, the adversary will first derive your private key from the public key and then initiate a competing transaction to their own address. They will try to get priority over the original transaction by offering a higher mining fee.

In the Bitcoin blockchain it currently takes about 10 minutes for transactions to be mined (unless the network is congested which has happened frequently in the past). As long as it takes a quantum computer longer to derive the private key of a specific public key then the network should be safe against a quantum attack. Current scientific estimations predict that a quantum computer will take about 8 hours to break an RSA key, and some specific calculations predict that a Bitcoin signature could be hacked within 30 minutes. This means that Bitcoin should be, in principle, resistant to quantum attacks (as long as you do not reuse addresses). However, as the field of quantum computers is still in its infancy, it is unclear how fast such a quantum computer will become in the future. If a quantum computer will ever get closer to the 10 minutes mark to derive a private key from its public key, then the Bitcoin blockchain will be inherently broken.

 

Closing remarks

Quantum computers are posing a serious challenge to the security of the Bitcoin blockchain. Presently, about 25% of the Bitcoins in circulation are vulnerable to a quantum attack. If you have Bitcoins in a vulnerable address and believe that progress in quantum computing is more advanced than publicly known, then you should probably transfer your coins to a new p2pkh address (don’t forget to make a secure backup of your private key).

In case your own Bitcoins are safe in a new p2pkh address, you might still be impacted if many people will not (or cannot) take the same protection measures. In a situation where a large number of Bitcoins is stolen, the price will most likely crash and the confidence in the technology will be lost.

Even if everyone takes the same protection measures, quantum computers might eventually become so fast that they will undermine the Bitcoin transaction process. In this case the security of the Bitcoin blockchain will be fundamentally broken. The only solution in this case is to transition to a new type of cryptography called ‘post-quantum cryptography’, which is considered to be inherently resistant to quantum attacks. These types of algorithms present other challenges to the usability of blockchains and are being investigated by cryptographers around the world. We anticipate that future research into post-quantum cryptography will eventually bring the necessary change to build robust and future-proof blockchain applications.

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Pyth Network (PYTH) To Rally Higher? This Emerging Fractal Setup Saying Yes!

The cryptocurrency market is undergoing a healthy cooldown as Ethereum (ETH) eases to $4,440 from its recent peak of $4,780. The pullback has weighed on most major altcoins — including Pyth Network (PYTH) — which is down about 5% over the past week.

But while the short-term dip might look discouraging, PYTH’s chart is showing something far more interesting: a price structure that mirrors the exact same bullish breakout pattern that sent Skale (SKL) soaring by triple digits earlier this month.

PYTH Mirrors SKL’s Breakout Structure

A glance at SKL’s daily chart reveals a textbook falling wedge formation — a well-known bullish reversal pattern. Once SKL broke above the wedge and printed a higher high followed by a higher low, it flipped both the 200-day and 100-day moving averages into firm support. That technical shift triggered a 148% rally in just days.

PYTH appears to be tracing the same path.

Like SKL, PYTH has already broken out from its falling wedge and formed a higher high and higher low. It is now consolidating just beneath a critical confluence of resistance, with the 100-day MA at $0.1235 and the 200-day MA at $0.1481 — a setup eerily similar to SKL’s pre-breakout structure.

What’s Next for PYTH?

For the bullish fractal to fully play out, PYTH will need to close decisively above the $0.1235–$0.1481 zone, ideally on rising volume. A confirmed breakout could open the door to the first upside target of $0.21, representing roughly 78% potential gains from current levels.

However, confirmation is key. Until PYTH clears these moving average hurdles, it remains vulnerable to extended consolidation or even a false breakout. Still, the fractal similarity to SKL is hard to overlook — and if history repeats, PYTH bulls could be on the verge of a major move.

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Deep Dive into Pyth Network 💎💎💎💎💎
👉From November 2024😉

What are Oracles?

Blockchains in and of themselves are useful already, for trustless and permissionless transactions without censorship. No trust or verification from the user is required because it is stored on a decentralised ledger with global consensus. What if certain transactions require reliable and real-time data from external sources that do not necessarily have a global consensus or can be stored on the same ledger? For example:

  • Products that rely on price feeds of assets from other blockchains or real-world markets: Many decentralized finance (DeFi) applications, like decentralized exchanges or lending platforms, need accurate and timely information about asset prices (e.g., stocks, cryptocurrencies, commodities). Since these prices are continuously changing in real-world markets, blockchains need a way to securely access this off-chain data.
  • Products that require verifiable and secure random numbers: Randomness is crucial for a variety of blockchain use cases, such as lotteries, gaming, and even secure cryptographic protocols. However, generating truly random numbers on-chain is challenging without introducing bias or predictability. Off-chain randomness, when provided by a reliable source, is often needed.
  • Products dependent on historical price data: Some DeFi platforms and financial products might need access to archived price data for risk assessment, backtesting trading strategies, or offering historical analysis. Since blockchains primarily focus on storing current state information, they need external sources to provide this historical data efficiently.

To address these challenges, Oracles were introduced. Oracles serve as bridges between blockchains and the external world, providing smart contracts with access to off-chain data. They connect external data providers—such as market data owners, web APIs, or IoT devices—to decentralized applications across multiple blockchains. Oracles enable these applications to securely and reliably obtain real-time data, execute transactions based on external events, and interact with data that cannot be directly stored on-chain.

Why can this data be trusted? Oracles provide a robust mechanism for ensuring the integrity and reliability of off-chain data before it is used on the blockchain. An oracle network verifies the:

  • Authenticity: To ensure that the data is genuine and comes from a legitimate source, oracle networks source data from multiple trusted providers or verifiable APIs. This process reduces the risk of malicious or false information being introduced into smart contracts.
  • Accuracy: Accurate data is crucial for smart contracts to function correctly. Oracles achieve this by aggregating data from several independent sources. Instead of relying on a single provider, an oracle network will query multiple data sources and compare their responses.
  • Reliability: Oracle networks enhance reliability by using decentralized nodes, which increases resilience against failures or malicious activity. If one data source or node fails or provides incorrect information, the other nodes in the network can continue to operate and provide valid data.

The demand for accurate and reliable off-chain data is growing as the number of real-world use-cases and adoption of blockchain increases. Users of applications are more than willing to pay for an oracle service that is accurate and reliable and covers a large variety of use-cases.

Pyth Network versus Other Oracles

Read the blog post of Battle of the Oracles to learn more about the different oracles solutions. To recap, Pyth Network is a high-frequency oracle leveraging Solana's technology, offering a robust solution for off-chain data sharing for primarily decentralized finance applications (DeFi). It provides services like real-time price feeds and benchmarks, accessible to a wide range of financial service providers. PYTH is the governance token and utility token of the Pyth Network. Supply and demand for the PYTH token is directly related to level of usage and total demand of Pyth’s services and Pyth Network’s Tokenomics.

Total Value Secured by Oracles

While Chainlink holds the lion’s share of the total value secured by oracles, Pyth has shown by far the largest growth in terms of TVS, number of protocols supported and number of DApps. Pyth is expanding rapidly, across different networks and protocols, supporting more DApps, data providers and integration partners every day. In the same time frame, Chainlink’s marketshare has decreased. Comparing the main metrics of MCAP/TVS ratio and MCAP/TTV ratio, we notice that based on market capitalization (circulating supply), Pyth is undervalued whereas the TVS ratio based on fully diluted value paints a different picture. This is because only 37% of PYTH tokens are unlocked, the next significant PYTH token unlock takes place in May of 2025 and happens yearly thereafter on the same date until the full amount of tokens has been unlocked by 2027.

Use-cases Enabled by Pyth

Products and Services:

  • Price Feeds: real-time market data for smart contracts, blockchains, and applications
  • Benchmarks: historical market data for smart contracts, blockchains, and applications
  • Express Relay: smart contracts or protocols that need protection against MEV (Express Relay) Express Relay is one of a kind product that offers developers to auction off valuable transactions directly to MEV searchers without validator interference
  • Entropy: smart contracts that require secure on-chain random numbers. Secure and verifiable random numbers are incredibly important for creating a fair and unpredictable on-chain actions (e.g., for games)
  • Pyth DAO Governance model

Examples:

  • Decentralised Exchanges (DEXs) require reliable real-time price feeds to provide users accurate trades.
  • Pyth’s data pull model provides data directly from the source, such as exchanges, market makers or DeFi protocols. Because data is pulled only on demand and not pushed at a given interval, it scales efficiently, and costs are offloaded to users where updates are demand-based.

Case Study: Drift (DEX)

Refresher: What is a DEX?

Decentralized Exchange (DEX) allows users to trade cryptocurrencies directly, without intermediaries, using smart contracts on a blockchain. DEXes operate peer-to-peer, providing greater privacy and control over assets compared to centralized exchanges.

There are two main types of DEXes:

  1. Order Book DEXes: These platforms match buy and sell orders using a live order book, similar to traditional exchanges. Examples include dYdX.
  2. Automated Market Makers (AMMs): AMMs use liquidity pools and algorithms to determine asset prices, allowing users to trade instantly without needing a counterparty. Examples include Uniswap and SushiSwap.

Context

Drift is a perpetual trading DEX built on Solana. Speed, reliability, and performance make or break a perpetual trading ecosystem. Drift is a perpetual trading platform that allows traders to create leveraged positions against the performance of synthetic assets.

Why Pyth?

Drift seeks to offer the most feature-rich, powerful perpetual DEX with lightning-fast execution. This ambition necessitates a robust Oracle solution. Legacy oracles are slow and susceptible to front and back running.

Pyth and Drift partnered to rapidly deploy a proof-of-concept. This successful relationship satisfies the ultra-fast network requirements of Drift’s execution tools and is capable of supporting thousands of users and hundreds of assets.

This is only one of many examples of an effective partnership and integration that gives Web3 users an enhanced user experience than DApps that use other Oracle solutions. There are presently over 410 integration partners supporting the transition from push to pull Oracles with Pyth Networks.

Pyth versus Chainlink

We compare Chainlink and Pyth Network with two main metrics: Total Value Secured (TVS) and Total Transaction Volume (TTV)

Total Value Secured

Pyth’s Total Value Secured (TVS) is more distributed across different blockchains and applications compared to Chainlink, offering greater resilience and diversification. Here's how the comparison breaks down:

  • Blockchain Distribution: Pyth’s TVS shows a broader spread across multiple blockchains. For instance, only 61.1% of Pyth’s TVS is concentrated on the Solana blockchain, which means the remaining value is distributed across other blockchains, contributing to its decentralized footprint. In contrast, 97.1% of Chainlink’s TVS is concentrated on Ethereum, creating a higher dependence on a single blockchain. This heavy reliance on Ethereum makes Chainlink more vulnerable to network-specific issues, such as scalability concerns or market downturns affecting Ethereum.
  • Application Distribution: Pyth also demonstrates a healthier diversification across different applications. Only 23.8% of Pyth’s TVS is tied to its top application, meaning the remaining value is distributed among various other applications. This broader application spread lowers the risk of one dominant app affecting the network’s overall performance. Chainlink, however, has 48.8% of its TVS tied to its top application, meaning nearly half of its secured value relies on a single application. This concentration creates a potential single point of failure, making Chainlink more sensitive to shifts in the usage or success of that key application.

Pyth's more balanced distribution of TVS across different blockchains and applications enhances its resilience. With a healthier spread of its value, Pyth is better positioned to withstand market fluctuations or downturns that may affect individual blockchains or applications, making it less exposed to risks associated with dependency on any single network or product. This diversified approach gives Pyth a structural advantage in terms of long-term stability and adaptability.

Total Transaction Volume

Another, perhaps better, metric to measure the true market share and usage of an Oracle network is TTV (Total Transaction Volume). TTV is strongly correlated with the frequency of oracle price updates and therefore oracle revenue and true demand for its products and services. TVS can overstate or understate an application’s demand for price updates, because an application could have a disproportionate amount of locked value relative to the amount of Oracle interactions one would expect to observe.

Chainlink, the traditional market leader of oracle networks, is losing ground after being slow to serve customers needing faster data updates, though they've recently launched a new high-speed service. Pyth has become a successful competitor by focusing on rapid data delivery across multiple platforms, making it easier for financial applications to access real-time price information. Large trading platforms are increasingly building their own internal price tracking systems rather than paying external providers, suggesting cost is a major factor in their decisions.

The key to future success in digital trading will be speed - traditional exchanges currently have an advantage with their centralized systems, but new platforms are starting to close this gap by developing faster price update capabilities.

Pyth Network Governance

The Pyth Network operates a decentralized governance system that empowers the community by allowing all PYTH token holders to have a direct say in the network's development and decision-making processes. This decentralized governance model ensures that control of the network is distributed among its users, promoting transparency and inclusion.

To participate in governance, token holders must stake their PYTH tokens through the Pyth staking program. By staking their tokens, users gain the ability to vote on community governance proposals, ensuring that they have a voice in the key decisions shaping the future of the Pyth Network.

In addition to voting, any PYTH token holder has the right to submit proposals to the Pyth DAO, provided they meet the requirement of holding and staking at least 0.25% of the total PYTH tokens staked. The proposals that can be brought to the DAO are diverse and impact many critical aspects of the network's functionality, including:

  • Determining the size of update fees: Proposals can influence the fees charged for updates to the network, ensuring that they remain fair and competitive.
  • Reward distribution mechanisms for publishers: The community can vote on how rewards are allocated to data publishers, ensuring that those contributing accurate and reliable data are fairly compensated.
  • Approving software updates across blockchains: The Pyth Network operates across multiple blockchains, and governance participants have the power to approve essential updates to on-chain programs, ensuring the network remains up to date and secure.
  • Listing price feeds and determining their reference data: Token holders can vote on which price feeds are listed on Pyth, as well as set the technical parameters for these feeds, such as the number of decimal places in the prices and the reference exchanges used to determine the data.
  • Selecting data publishers: The governance system allows the community to permission publishers, or select which entities are allowed to provide data for each price feed. This ensures that only trusted and verified data sources are contributing to the network.

Conclusion

The Pyth Network stands out as a disruptive force in the decentralized oracle space, rapidly growing across protocols and blockchains and setting new standards for both data speed and diversification. Leveraging Solana technology, Pyth brings high-frequency, real-time market data directly from first-party sources—including exchanges and trading firms—to an expanding universe of DeFi and TradFi applications. Compared to its primary competitors, Pyth demonstrates healthier resilience by distributing its Total Value Secured across multiple blockchains and applications, reducing dependencies and systemic risk.

Recent market trends show Pyth gaining ground in metrics like Total Transaction Volume, challenging traditional leaders like Chainlink and reflecting a broader shift toward fast, reliable, and diversified data solutions in decentralized finance. Its innovative approach—such as direct publisher sourcing, sub-second updates, and auditable aggregation—addresses the needs of financial markets with unique precision and transparency.

Ultimately, for developers, institutions, and investors seeking reliable off-chain data with speed and global reach, Pyth Network is quickly becoming a cornerstone oracle solution—and its trajectory signals a new era of dynamic, decentralized connectivity for global finance.

 

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Understanding the Crypto Alt Season

The next altcoin season is poised to ignite the crypto market, promising to turn savvy investors' portfolios into goldmines. As Bitcoin's dominance wanes, a new era of blockchain innovation is dawning—are you ready to ride the wave?

Market behavior often exhibits distinct patterns and cycles. One such phenomenon that has captured the attention of traders and investors alike is the "Alt Season"—a period when alternative cryptocurrencies, or "altcoins," outperform Bitcoin and experience significant price surges.

The concept of market cycles and seasonality is not unique to crypto; it's a well-established principle in traditional financial markets. However, in volatile crypto space, these cycles can be more pronounced and occur with greater frequency.  

In this article, we’ll try to cover these and other topics: 

  1. The nature and characteristics of Alt Seasons
  2. The importance of recognizing market cycles in cryptocurrency trading
  3. Alt Season indicators and how to interpret them
  4. Predictions and speculatins about the next potential Alt Season

What Is Crypto Alt Season?

Crypto Alt Season, short for "Alternative Cryptocurrency Season," refers to a period in the cryptocurrency market when alternative cryptocurrencies (altcoins) significantly outperform Bitcoin in terms of price appreciation. During an Alt Season:

  1. Many altcoins experience rapid price increases.
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  3. Trading volume for altcoins typically increases.
  4. Investor attention shifts from Bitcoin to various altcoin projects.

An Alt Season can last anywhere from a few weeks to several months. It's often characterized by increased risk appetite among investors, who are willing to allocate more capital to smaller, potentially higher-risk crypto projects in search of higher returns.

Is Crypto Season the Same As Crypto Alt Season?

While related, Crypto Season and Crypto Alt Season are not exactly the same:

  1. Crypto Season:
    • Refers to a broader bullish period in the entire cryptocurrency market.
    • Typically includes price appreciation for both Bitcoin and altcoins.
    • Can be longer in duration, sometimes lasting for many months or even a year or more.
    • Often starts with a Bitcoin rally, followed by increased interest in the broader crypto market.
  2. Crypto Alt Season:
    • Specifically focuses on the outperformance of altcoins compared to Bitcoin.
    • Can occur within a broader Crypto Season but is more narrowly defined.
    • Generally shorter in duration than a full Crypto Season.
    • May happen towards the latter part of a broader Crypto Season, as investors seek higher returns in smaller cap coins.

Key Differences:

  • Scope: Crypto Season encompasses the entire market, while Alt Season focuses on altcoins.
  • Duration: Crypto Seasons are generally longer than Alt Seasons.
  • Market Dynamics: In a Crypto Season, Bitcoin often leads the rally, while in an Alt Season, altcoins outperform Bitcoin.

It's important to note that these terms are not officially defined and can be subject to different interpretations within the cryptocurrency community. However, understanding the distinction can help investors and traders better analyze market trends and potential opportunities in different segments of the crypto market.

What Is Alt Season Indicator?

The Alt Season Indicator is a tool used by cryptocurrency traders and investors to gauge whether the market is entering or currently in an "Alt Season" — a period when altcoins are outperforming Bitcoin. While there isn't a single, universally accepted Alt Season Indicator, several metrics and tools are commonly used to assess the likelihood of an Alt Season. Here are some key aspects of Alt Season Indicators:

Bitcoin Dominance

One of the most widely used indicators is Bitcoin Dominance, which measures Bitcoin's market capitalization as a percentage of the total cryptocurrency market cap.

  • Calculation: (Bitcoin Market Cap / Total Crypto Market Cap) * 100
  • Interpretation: A declining Bitcoin Dominance often signals a potential Alt Season, as it indicates that capital is flowing from Bitcoin into altcoins.
  • Threshold: Some traders consider Bitcoin Dominance below 50% as a potential indicator of an Alt Season.

Altcoin Market Cap Ratio

This indicator compares the total market capitalization of altcoins to Bitcoin's market cap.

  • Calculation: Total Altcoin Market Cap / Bitcoin Market Cap
  • Interpretation: An increasing ratio suggests growing strength in the altcoin market relative to Bitcoin.

Top 10 Altcoins Performance

This indicator tracks the performance of the top 10 altcoins by market cap (excluding Bitcoin) compared to Bitcoin over a specific period.

  • Calculation: Average percentage gain of top 10 altcoins vs. Bitcoin's percentage gain
  • Interpretation: When a majority of top altcoins consistently outperform Bitcoin, it may indicate an Alt Season.

Alt Season Index

Some crypto data platforms offer a proprietary Alt Season Index, which combines various metrics to provide a single score indicating the likelihood of an Alt Season.

  • Scale: Often presented as a percentage or a 0-100 score
  • Interpretation: Higher scores (e.g., above 75%) suggest a higher probability of an ongoing Alt Season

Trading Volume Ratios

This indicator compares the trading volumes of altcoins to Bitcoin's trading volume.

  • Calculation: Total Altcoin Trading Volume / Bitcoin Trading Volume
  • Interpretation: An increase in this ratio may indicate growing interest in altcoins, potentially signaling an Alt Season.

Important Considerations:

  1. No single indicator is foolproof. Traders often use a combination of indicators for a more comprehensive analysis.
  2. Market conditions can change rapidly, and past patterns don't guarantee future results.
  3. Different traders may use different thresholds or interpretations of these indicators.
  4. The crypto market's evolving nature means that indicators may need to be adjusted over time to remain relevant.

Understanding and effectively using Alt Season Indicators can help traders and investors make more informed decisions about allocating their resources between Bitcoin and altcoins. However, it's crucial to combine these indicators with broader market analysis and risk management strategies.

Alt Seasons: Historical Perspective, Current Situation, and Future Predictions

Previous Altcoin Seasons

In crypto, two periods stand out as particularly significant for altcoins. These "alt seasons" saw unprecedented growth and interest in cryptocurrencies beyond Bitcoin, reshaping the landscape of digital assets.

The 2017-2018 Alt Season

Duration: December 2017 to January 2018

Context:

  • Bitcoin (BTC) experienced its most remarkable bull run to date, reaching nearly $20,000 in December 2017.
  • This surge in Bitcoin's price and public interest created a ripple effect throughout the crypto market.

Key Developments:

  1. Proliferation of New Coins: The success of Bitcoin catalyzed the launch of numerous new cryptocurrencies.
  2. Investor Frenzy: Buoyed by Bitcoin's success, investors eagerly sought the "next Bitcoin," pouring capital into various altcoins.
  3. ICO Boom: This period saw a surge in Initial Coin Offerings (ICOs), with many projects raising millions in a matter of hours or days.
  4. Market Expansion: The total cryptocurrency market cap reached unprecedented levels, briefly surpassing $800 billion in January 2018.

Notable Altcoins: Ethereum (ETH), Ripple (XRP), and Litecoin (LTC) saw significant price increases during this period.

The 2020-2021 Alt Season

Duration: December 2020 to April 2021

Context:

  • Bitcoin broke its previous all-time high, surpassing $60,000 in March 2021.
  • The COVID-19 pandemic had accelerated digital adoption and increased interest in alternative investments.

Key Developments:

  1. DeFi Explosion: Decentralized Finance (DeFi) projects gained massive traction, with many tokens seeing exponential growth.
  2. NFT Boom: Non-Fungible Tokens (NFTs) entered the mainstream, driving interest in blockchain-based digital assets.
  3. Institutional Adoption: Major companies and institutional investors began adding cryptocurrencies to their balance sheets.
  4. Technological Advancements: Many altcoins introduced innovative features, scaling solutions, and use cases.

Notable Altcoins: Ethereum (ETH) reached new highs, while projects like Binance Coin (BNB), Cardano (ADA), and Polkadot (DOT) saw remarkable growth.

Comparative Analysis: Both alt seasons shared some common characteristics:

  • They were preceded by significant Bitcoin price rallies.
  • New projects and tokens gained rapid popularity and valuation.
  • Retail investor participation increased dramatically.
  • The overall cryptocurrency market capitalization reached new heights.

However, the 2020-2021 alt season was marked by greater institutional involvement and a broader range of technological innovations, particularly in DeFi and NFTs.

Is It Alt Season?

Based on the indicators discussed above, it's not currently an altcoin season. The Altcoin Season Index at 41 and Bitcoin's market dominance at 61.3% both suggest that Bitcoin is still the dominant force in the crypto market at this time.

When Is Alt Season?

Based on the information we could gather from various experts, we can analyze the predictions for the next altcoin season as follows:

  • Based on the latest analysis from experts and on-chain data, here’s what we know about the next altcoin season:

     

    Current Status (August 2025):

     

    • The altcoin season index—a metric that signals how many altcoins outperform Bitcoin—currently sits around 37. For a “full-blown” alt season, it typically needs to rise above 75.

    • Bitcoin dominance is approximately 61-62%. Historically, dropping below 60% often coincides with a rapid rotation into altcoins and the start of alt season.

     

    Key Indicators to Watch:

     

    • Altcoin Season Index (ASI): Above 75 signals a true altcoin season.

    • Bitcoin Dominance: A move below 60% usually marks the transition; sub-50% dominance is associated with peak alt season inflows.

    • Market Activity: Increasing volumes in major altcoins and Layer 1s, meme coin rallies, and spikes in DeFi activity are early warning signs.

    • Ethereum Outperformance: When ETH surges relative to BTC, this historically precedes broader altcoin rallies.

     

    Expert Predictions for 2025:

     

    • Analysts point to a pivotal window for alt season starting as early as August 2025 and extending through the fall, with many expecting true acceleration of altcoin gains if Bitcoin’s price consolidates and capital rotates further into alts.

    • There is strong consensus that macroeconomic catalysts, such as potential U.S. interest rate cuts and ongoing Bitcoin ETF momentum, could fuel a major altcoin rally in late 2025 if positive conditions persist.

    Summary Table: Key Factors & Targets

    SignalAlt Season TriggerStatus (Aug 2025)
    Altcoin Season Index (ASI)>75 ~37
    Bitcoin dominance<60% ~61–62% (near trigger)
    Altcoin trading volumeSustained surge across many alts Rising, but not explosive
    Ethereum outperformanceETH/ BTC breakout, >$3,700 Near, ETH ~$3,500
    Market narrativesAI, DeFi, meme coins, new L1 inflows Strengthening
     

    Bottom Line:
    Most analysts agree the groundwork for altcoin season in 2025 is building. We are currently in a transition phase: if Bitcoin dominance continues to fall and the Altcoin Season Index rises above 75, a full-fledged alt season could ignite during the second half of 2025. Monitor these key indicators to stay ahead as market momentum shifts from Bitcoin into a broader range of altltcoins.

Key Factors to Consider

  • Technology: Look for coins with innovative solutions to existing blockchain challenges.
  • Adoption: Consider projects with growing partnerships and real-world use cases.
  • Market Position: Established coins with room for growth may offer a balance of stability and potential returns.
  • Tokenomics: Understanding supply dynamics can help predict potential price movements.

It's crucial to conduct thorough research before investing. The cryptocurrency market is highly volatile, and past performance doesn't guarantee future results. Always invest responsibly and within your risk tolerance.

How to Win in Next Alt Season?

Capitalizing on the next altcoin season requires a strategic approach. Here's how to maximize potential gains:

  • Research and Diversification: Thoroughly research potential investments, analyzing both fundamentals and technical aspects to identify promising altcoins. Diversify your holdings across different projects to mitigate risk and maximize potential returns. Don't put all your eggs in one basket.
  • Strategic Timing: Utilize technical analysis tools like support/resistance levels and RSI to pinpoint optimal entry and exit points. Monitor market sentiment and price trends to make informed decisions. A clear entry and exit strategy is crucial for managing risk and maximizing profits during volatile periods.
  • Newer Projects: Consider participating in newer altcoin projects. This provides early access to potentially high-growth projects at discounted prices. Research upcoming defi projects with use cases, focusing on innovative projects with strong potential. Investing early can yield substantial returns as the project develops.

Conclusion

In summary, an altcoin season, marked by significant price increases in non-Bitcoin cryptocurrencies, may be on the horizon.  This potential surge could be driven by investors seeking higher returns in smaller-cap cryptocurrencies, technological advancements in altcoin projects, increased blockchain adoption, and the transition of projects from speculative ventures to real-world applications

Remember, while the potential for significant gains exists during an altcoin season, the cryptocurrency market remains highly volatile. Always invest responsibly.

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