The post Mathematically Predicting Bitcoin Price Floor appeared on BitcoinEthereumNews.com. While many are still focused on how high the bitcoin price could go during this current bull market (although given current price action, maybe not!), it’s equally important to prepare for what comes next. Here we’ll look at the data and mathematics that can help us estimate where Bitcoin’s next bear market low could occur — not as a prediction, but as a framework based on prior cycles, on-chain valuation metrics, and even the fundamental valuations of BTC. Cycle Master: Modeling Historical Bitcoin Price Bottoms One of the most consistently accurate models for identifying Bitcoin’s cyclical bottoms is what we refer to as the Bitcoin Cycle Master chart, which collates a number of on-chain metrics to create bands around price with certain valuation levels. Figure 1: The Cycle Lows line on the Bitcoin Cycle Master chart has accurately aligned with bear cycle lows. View Live Chart Historically, this green “Cycle Lows” line has pinpointed Bitcoin’s macro bottoms with near perfection. From $160 in 2015 to $3,200 in 2018, and again at $15,500 in late 2022. As of today, this band sits around $43,000 and rising daily, which provides a useful baseline to estimate how far Bitcoin could decline in the next full cycle. Diminishing Drawdowns: Why Each Bitcoin Price Bear Market Hurts Less Alongside this, we can look at the raw MVRV Ratio, which measures Bitcoin’s market price versus its realized price (the average cost basis of all coins). Historically, during deep bear markets, Bitcoin tends to fall to 0.75x of its realized price, meaning the market price trades about 25% below the network’s aggregate cost basis. Figure 2: Historically, bear market lows have occurred when the MVRV Ratio drops to 0.75. View Live Chart This repeatability gives us a powerful anchor for estimating potential downside when combined with the… The post Mathematically Predicting Bitcoin Price Floor appeared on BitcoinEthereumNews.com. While many are still focused on how high the bitcoin price could go during this current bull market (although given current price action, maybe not!), it’s equally important to prepare for what comes next. Here we’ll look at the data and mathematics that can help us estimate where Bitcoin’s next bear market low could occur — not as a prediction, but as a framework based on prior cycles, on-chain valuation metrics, and even the fundamental valuations of BTC. Cycle Master: Modeling Historical Bitcoin Price Bottoms One of the most consistently accurate models for identifying Bitcoin’s cyclical bottoms is what we refer to as the Bitcoin Cycle Master chart, which collates a number of on-chain metrics to create bands around price with certain valuation levels. Figure 1: The Cycle Lows line on the Bitcoin Cycle Master chart has accurately aligned with bear cycle lows. View Live Chart Historically, this green “Cycle Lows” line has pinpointed Bitcoin’s macro bottoms with near perfection. From $160 in 2015 to $3,200 in 2018, and again at $15,500 in late 2022. As of today, this band sits around $43,000 and rising daily, which provides a useful baseline to estimate how far Bitcoin could decline in the next full cycle. Diminishing Drawdowns: Why Each Bitcoin Price Bear Market Hurts Less Alongside this, we can look at the raw MVRV Ratio, which measures Bitcoin’s market price versus its realized price (the average cost basis of all coins). Historically, during deep bear markets, Bitcoin tends to fall to 0.75x of its realized price, meaning the market price trades about 25% below the network’s aggregate cost basis. Figure 2: Historically, bear market lows have occurred when the MVRV Ratio drops to 0.75. View Live Chart This repeatability gives us a powerful anchor for estimating potential downside when combined with the…

Mathematically Predicting Bitcoin Price Floor

2025/11/08 13:50

While many are still focused on how high the bitcoin price could go during this current bull market (although given current price action, maybe not!), it’s equally important to prepare for what comes next. Here we’ll look at the data and mathematics that can help us estimate where Bitcoin’s next bear market low could occur — not as a prediction, but as a framework based on prior cycles, on-chain valuation metrics, and even the fundamental valuations of BTC.

Cycle Master: Modeling Historical Bitcoin Price Bottoms

One of the most consistently accurate models for identifying Bitcoin’s cyclical bottoms is what we refer to as the Bitcoin Cycle Master chart, which collates a number of on-chain metrics to create bands around price with certain valuation levels.

Figure 1: The Cycle Lows line on the Bitcoin Cycle Master chart has accurately aligned with bear cycle lows. View Live Chart

Historically, this green “Cycle Lows” line has pinpointed Bitcoin’s macro bottoms with near perfection. From $160 in 2015 to $3,200 in 2018, and again at $15,500 in late 2022. As of today, this band sits around $43,000 and rising daily, which provides a useful baseline to estimate how far Bitcoin could decline in the next full cycle.

Diminishing Drawdowns: Why Each Bitcoin Price Bear Market Hurts Less

Alongside this, we can look at the raw MVRV Ratio, which measures Bitcoin’s market price versus its realized price (the average cost basis of all coins). Historically, during deep bear markets, Bitcoin tends to fall to 0.75x of its realized price, meaning the market price trades about 25% below the network’s aggregate cost basis.

Figure 2: Historically, bear market lows have occurred when the MVRV Ratio drops to 0.75. View Live Chart

This repeatability gives us a powerful anchor for estimating potential downside when combined with the trend of diminishing drawdowns. While Bitcoin’s earliest cycles saw declines as deep as 88%, that figure has been steadily compressing, to 80% in 2018 and 75% in 2022. Projecting that same trend forward, a continuation of diminishing volatility would imply that the next bear market could bring a ~70% retracement from cycle highs.

Figure 3: The trend of diminishing bear cycle drawdowns suggests that the next retracement from the cycle high wouldn’t exceed 70%

Forecasting the Next Bitcoin Price Top and Bottom

Before we estimate the next low, we need a reasonable assumption for where this bull market could peak. Based on historical MVRV multiples and slope-trended realized price growth, Bitcoin has recently tended to top at roughly 2.5x its realized price. If that relationship holds and the realized price continues trending upward, it suggests a potential top somewhere near $180,000 per BTC in late 2025.

Figure 4: Applying MVRV multiples and realized price projections, we could see a cycle top in the region of $180k, followed by bear cycle lows in the $55k-60k region in 2027.

If that’s the case, and Bitcoin were to follow its historical one-year bear market lag into 2027, a 70% retracement from that level would bring the next major cycle low to approximately $55,000–$60,000, based on the current realized price trajectory at that time. These prices also align nicely with Bitcoin’s choppy consolidation range from last year to give some technical confluence.

Bitcoin Price and the Rising Cost of Production

One of the most reliable long-term valuation metrics for Bitcoin is its production cost, the estimated electrical expense to mine one BTC. This metric has historically aligned closely with Bitcoin’s deepest bear market lows. After every halving, the production cost doubles, forming a rising structural floor under the price over time.

Figure 5: The estimated electrical cost to produce 1 BTC of approximately $70k acts as a strong price action floor.

When Bitcoin trades below its production cost, it signals miner stress and typically coincides with generational accumulation opportunities. As of the April 2024 halving, the new cost basis rose sharply, and each time Bitcoin has dipped near or slightly below it since, it has marked local bottoms and subsequent sharp reversals. This value currently sits at ~$70,000 but fluctuates daily.

Conclusion: The Next Bitcoin Price Cycle Will Likely Be Shallower

Every Bitcoin cycle has been accompanied by a wave of euphoria claiming, “This time is different.” But the data continues to show otherwise. While institutional adoption and broader financial integration have indeed changed Bitcoin’s structure, they haven’t erased its cyclicality.

The data suggests the next bear market will likely be shallower, reflecting a more mature and liquidity-driven environment. A retracement toward the $55,000–$70,000 zone would not signal collapse, but it would mark the continuation of Bitcoin’s historical rhythm of expansion and reset.

For a more in-depth look into this topic, watch our most recent YouTube video here: Using Math & Data To Predict The Bitcoin Bear Market Low


For deeper data, charts, and professional insights into bitcoin price trends, visit BitcoinMagazinePro.com.

Subscribe to Bitcoin Magazine Pro on YouTube for more expert market insights and analysis!


Disclaimer: This article is for informational purposes only and should not be considered financial advice. Always do your own research before making any investment decisions.

Source: https://bitcoinmagazine.com/markets/predicting-bitcoin-price-floor

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00
Blockchain May Foster Network States Amid Eroding Nation-State Model

Blockchain May Foster Network States Amid Eroding Nation-State Model

The post Blockchain May Foster Network States Amid Eroding Nation-State Model appeared on BitcoinEthereumNews.com. COINOTAG recommends • Exchange signup 💹 Trade with pro tools Fast execution, robust charts, clean risk controls. 👉 Open account → COINOTAG recommends • Exchange signup 🚀 Smooth orders, clear control Advanced order types and market depth in one view. 👉 Create account → COINOTAG recommends • Exchange signup 📈 Clarity in volatile markets Plan entries & exits, manage positions with discipline. 👉 Sign up → COINOTAG recommends • Exchange signup ⚡ Speed, depth, reliability Execute confidently when timing matters. 👉 Open account → COINOTAG recommends • Exchange signup 🧭 A focused workflow for traders Alerts, watchlists, and a repeatable process. 👉 Get started → COINOTAG recommends • Exchange signup ✅ Data‑driven decisions Focus on process—not noise. 👉 Sign up → Network states represent sovereign communities in cyberspace, enabled by blockchain to challenge the 380-year-old nation-state model eroded by corporations and centralized powers. These digital entities use decentralized tools like DAOs and smart contracts for transparent governance, offering alternatives to traditional trust in opaque systems. Blockchain tools empower network states: Immutable ledgers, smart contracts, and privacy protocols allow borderless organization without relying on unelected officials. Resistance from established powers: Nation-states and corporations may use regulations or litigation to hinder emerging digital sovereignty models. Cypherpunk foundations: Built on ideals of decentralization, transparency, and privacy, network states align with cryptocurrency’s core ethos, fostering equal access across geographies. Discover how network states are reshaping governance through blockchain innovation. Explore crypto sovereignty’s role in post-nation-state futures and join the decentralized revolution today. (142 characters) What are network states? Network states are sovereign communities operating primarily in cyberspace, leveraging blockchain technology to govern themselves independently of traditional nation-states. Coined in discussions around crypto sovereignty, they enable individuals to form borderless societies using decentralized digital infrastructure. According to Jarrad Hope, author of “Farewell to Westphalia: Crypto…
Share
BitcoinEthereumNews2025/11/09 03:08