Here's an interesting website by @LeoMathHeart.
It shows Bitcoin Cycle Charts.
Visualizing Bitcoin's cycles with mathematical models: https://bitcoinwave.net
Bitcoin | Blockchain | Cryptocurrency | Digital Asset | ... @BBCDSatoshi ...
Here's an interesting website by @LeoMathHeart.
It shows Bitcoin Cycle Charts.
Visualizing Bitcoin's cycles with mathematical models: https://bitcoinwave.net
In January 2009, an anonymous figure known as Satoshi Nakamoto mined the first Bitcoin block, embedding within it a pointed message: "The Times 03/Jan/2009 Chancellor on brink of second bailout for banks." This moment marked the birth of cryptocurrency and blockchain technology. But what if that genesis block had never been created? What would our financial, technological, and social landscape look like today without Bitcoin's influence?
Without Bitcoin, the traditional banking system would have faced less disruption but also less innovation pressure. The 2008 financial crisis would have prompted reforms, but the fundamental architecture of centralized financial institutions would have remained largely unchallenged. Major banks might have continued their gradual digitization without the urgent need to respond to decentralized alternatives.
On one hand, this could mean greater stability. The cryptocurrency boom-and-bust cycles that have wiped out fortunes—from Bitcoin's peak of nearly $69,000 in 2021 to subsequent crashes—would never have occurred. Retail investors wouldn't have lost billions in exchange collapses like Mt. Gox or FTX. Regulators wouldn't be scrambling to create frameworks for digital assets, and financial crime investigators wouldn't be tracking ransomware payments through blockchain explorers.
On the other hand, monopolistic inefficiencies might have persisted longer. International remittances would still cost an average of 6-7% through traditional channels, taking days to settle. Millions of unbanked individuals in developing nations would lack the alternative financial infrastructure that cryptocurrency has provided. The financial system's gatekeepers would face less competitive pressure to reduce fees or improve services.
Bitcoin's underlying blockchain technology has spawned applications far beyond currency. Without it, distributed ledger technology might have emerged eventually, but likely much later and in different forms. IBM's supply chain tracking systems, Estonia's digital government infrastructure, and countless enterprise blockchain projects drew direct inspiration from Bitcoin's proof-of-concept.
The venture capital landscape would look dramatically different. Billions of dollars that flowed into blockchain startups since 2013 would have been allocated elsewhere—perhaps accelerating progress in artificial intelligence, quantum computing, or biotechnology instead. The initial coin offering (ICO) boom of 2017-2018, which raised over $20 billion despite being largely fraudulent, simply wouldn't have happened. This represents both avoided waste and foregone legitimate innovation.
Smart contract platforms like Ethereum, which launched in 2015 building on Bitcoin's foundation, might never have materialized. This means no decentralized finance (DeFi) protocols, no NFT marketplaces, and no decentralized autonomous organizations (DAOs). Whether this represents a loss depends on one's perspective—these innovations have enabled both remarkable experiments in digital ownership and spectacular scams.
Bitcoin emerged as a form of financial resistance to centralized control. Without it, authoritarian governments would face less challenge to their monetary sovereignty. Citizens in Venezuela, where hyperinflation destroyed the bolivar, or in Argentina, where currency controls restrict economic freedom, would lack one tool for preserving wealth. During Russia's invasion of Ukraine, cryptocurrency enabled millions in donations to flow directly to defenders; this avenue for financial activism wouldn't exist.
However, these same properties have enabled illicit activities. Without Bitcoin, ransomware attacks would be far more difficult to monetize—criminals couldn't demand untraceable payments as easily. The Silk Road darknet marketplace, which facilitated over $1 billion in illegal drug sales before its 2013 shutdown, relied entirely on Bitcoin. North Korea's state-sponsored hackers wouldn't have stolen billions in cryptocurrency to fund their weapons programs.
The U.S. dollar's position as the global reserve currency might be even more entrenched without cryptocurrency alternatives. China's central bank digital currency project was explicitly developed as a response to Bitcoin and private cryptocurrencies; without that impetus, digital yuan development might have proceeded more slowly. The entire conversation around monetary sovereignty in the digital age would be fundamentally different.
Bitcoin created a unique subculture—one that blends libertarian economics, technological utopianism, and anti-establishment sentiment. The "crypto bro" stereotype wouldn't exist, for better or worse. Online communities like Reddit's r/Bitcoin and countless Discord servers dedicated to cryptocurrency trading would never have formed. Millions of people wouldn't identify as "Bitcoiners" with a shared ideological framework.
The "get rich quick" narratives that have characterized cryptocurrency would be absent. Young people wouldn't have stories of turning thousands into millions through early Bitcoin investments, but they also wouldn't have tales of life savings lost in cryptocurrency collapses. The wealth inequality created by Bitcoin's distribution—where early adopters and miners hold enormous advantages—wouldn't exist, though traditional wealth inequality certainly would remain.
Educational institutions and career paths have also been shaped by Bitcoin's existence. University blockchain programs, cryptocurrency research institutes, and entire job categories from blockchain developers to crypto tax accountants wouldn't exist. This represents thousands of diverted careers and educational resources that might have been applied elsewhere.
Critics argue that without Bitcoin, enormous amounts of energy and human capital wouldn't have been wasted. Bitcoin mining now consumes roughly as much electricity annually as entire nations like Argentina. Thousands of brilliant programmers and entrepreneurs who built cryptocurrency infrastructure might have instead worked on climate solutions, medical research, or poverty reduction.
Proponents counter that Bitcoin demonstrated the viability of decentralized systems and inspired innovation in cryptography, distributed systems, and economic mechanism design. The talent attracted to cryptocurrency has advanced computer science in ways that may yield benefits far beyond finance. Moreover, Bitcoin has functioned as intended for those who needed censorship-resistant money, even if that population is smaller than early advocates imagined.
In a world without Bitcoin, we would likely be having different conversations about the future of money—perhaps focused more on central bank digital currencies developed without the competitive pressure of cryptocurrencies, or on incremental improvements to existing payment systems like faster bank transfers and lower credit card fees.
Technology giants like Facebook (with its abandoned Libra project) wouldn't have attempted to create private currencies. Governments wouldn't be wrestling with how to tax, regulate, and monitor cryptocurrency transactions. The 2021 El Salvador experiment of making Bitcoin legal tender wouldn't have happened, along with its subsequent economic difficulties.
Yet something else would have filled Bitcoin's cultural niche. The desire for financial alternatives to traditional institutions, the appeal of get-rich-quick schemes, and the drive for technological disruption are all enduring human impulses. Without Bitcoin, perhaps gold would have experienced an even stronger revival, or peer-to-peer payment systems would have evolved differently, or some other form of alternative finance would have emerged.
Judging whether the world would be better or worse without Bitcoin requires weighing incommensurable values. We would have avoided cryptocurrency's substantial harms: the scams, the environmental costs, the ransomware epidemic, and the billions lost in failed exchanges. But we would also lack its innovations: a proven decentralized digital currency, blockchain technology's demonstrated applications, and a financial alternative for those failed by traditional systems.
Perhaps the most honest assessment is that the world would simply be different—neither utopian nor dystopian, but shaped by other technologies and other choices. Bitcoin's invention was not inevitable, and the paths not taken always carry their own possibilities. Whether we're better off in this timeline than in one without Satoshi Nakamoto's creation remains a question without a definitive answer, dependent on which values we prioritize and whose perspective we adopt.
Source:
This press release does not constitute an offer to sell or the solicitation of an offer to buy any securities. Any offers, solicitations or offers to buy, or any sales of securities will be made in accordance with the registration requirements of the Securities Act of 1933, as amended (“Securities Act”). This announcement is being issued in accordance with Rule 135 under the Securities Act.
About Kraken
Founded in 2011, Kraken is one of the world’s longest-standing and most secure crypto platforms globally. Kraken clients trade more than 450 digital assets, traditional assets such as U.S. futures and U.S.-listed stocks and ETFs, and fiat currencies. Kraken is one of the fastest, most liquid and performant trading platforms available.
Kraken’s suite of products and services includes the Kraken App, Kraken Pro, the Krak App, Kraken Institutional, Kraken Onchain and the Ninja Trader retail trading platform. Across these offerings, clients can buy, sell, stake, earn rewards, send and receive assets, custody holdings, and access advanced trading, derivatives, and portfolio management tools.
Kraken has set the industry standard for transparency and client trust, and it was the first crypto platform to conduct Proof of Reserves. It complies with regulations and laws applicable to its business, while actively protecting client privacy and maintaining the highest security standards.
The 2024-2025 Bitcoin cycle represents a fundamental departure from previous market cycles, driven by two unprecedented catalysts: the January 2024 approval of spot Bitcoin ETFs and Donald Trump's return to the presidency with an explicitly pro-crypto agenda. These factors have transformed Bitcoin from a predominantly retail-driven, speculative asset into an institutionally-accessible investment vehicle backed by regulatory momentum at the highest levels of government.
To understand why this cycle differs, we must first examine the patterns of previous cycles:
2011-2013 Cycle: Bitcoin rose from $1 to $1,100, driven primarily by early adopters and libertarian idealists. The collapse of Mt. Gox in 2014 exemplified the infrastructure immaturity.
2015-2017 Cycle: Bitcoin surged from $200 to nearly $20,000, fueled by ICO mania and retail FOMO. Institutional participation remained minimal, with most traditional finance viewing Bitcoin skeptically.
2018-2021 Cycle: Bitcoin recovered to reach $69,000 in November 2021. This cycle saw the first major institutional adopters (MicroStrategy, Tesla) and the emergence of institutional custody solutions. However, investment remained direct purchases, requiring companies to hold Bitcoin on their balance sheets—a regulatory and accounting burden that limited widespread adoption.
Each previous cycle followed a similar pattern: halving event, retail enthusiasm, parabolic rise, 80%+ drawdown, and institutional skepticism. Regulatory hostility or ambiguity characterized the environment, with governments viewing Bitcoin as a threat rather than an opportunity.
On January 10, 2024, the SEC approved 11 spot Bitcoin ETFs simultaneously, including offerings from BlackRock (iShares Bitcoin Trust - IBIT), Fidelity (Wise Origin Bitcoin Fund - FBTC), and Grayscale (converted from GBTC). This approval marked the end of a decade-long regulatory battle and represented the SEC's implicit endorsement of Bitcoin as a legitimate asset class.
The impact was immediate and unprecedented:
Fastest ETF Launch in History: BlackRock's IBIT gathered $10 billion in assets within seven weeks, shattering records previously held by gold ETFs that took years to reach similar milestones.
Total AUM Growth: By mid-2024, Bitcoin ETFs collectively held over $60 billion in assets, with net inflows consistently ranging from $200-500 million daily during strong market periods.
Institutional Allocation: Financial advisors, pension funds, and wealth management platforms that were previously barred from Bitcoin exposure can now allocate with a simple ticker symbol. A typical portfolio manager can now add BTC exposure alongside SPY and AGG without custody concerns, security risks, or regulatory complications.
The structural advantages of ETFs over direct Bitcoin ownership include:
Regulatory Clarity: ETFs operate within established SEC frameworks, providing legal certainty for institutional investors bound by fiduciary duties.
Operational Simplicity: No need for cold storage, private key management, or specialized custody solutions. Bitcoin exposure trades like any equity.
Tax Efficiency: ETFs offer potential tax advantages over direct ownership, particularly for retirement accounts (401k, IRA) where Bitcoin ETFs can now be held tax-deferred.
Liquidity and Price Discovery: With billions in daily trading volume, ETFs provide deep liquidity and tighter spreads than many cryptocurrency exchanges.
Mainstream Distribution: ETFs are available through every major brokerage—Schwab, Fidelity, Vanguard—bringing Bitcoin to hundreds of millions of investors who would never open a Coinbase account.
Previous cycles saw institutional adoption measured in dozens of companies. This cycle has seen:
This represents a 100x increase in institutional accessibility compared to the previous cycle.
Previous Bitcoin cycles occurred under administrations ranging from indifferent to hostile toward cryptocurrency:
Donald Trump's 2024 campaign marked an extraordinary reversal. At the Bitcoin 2024 conference in Nashville, Trump pledged to:
With Trump's January 2025 inauguration, the regulatory environment has shifted dramatically:
Personnel Changes: The appointment of crypto-friendly regulators signals a departure from enforcement-first approaches. Reports suggest potential SEC leadership that understands blockchain technology.
Legislative Momentum: Republican control of Congress increases the likelihood of comprehensive crypto legislation, including stablecoin frameworks and clear custody rules.
Strategic Reserve Concept: While controversial, Trump's proposal to establish a U.S. Bitcoin reserve would represent unprecedented sovereign legitimization. Even if not fully implemented, the discussion alone validates Bitcoin's role as a monetary asset.
Global Competition Narrative: Trump's framing of crypto leadership as a national competitiveness issue changes the conversation from "should we allow this?" to "how do we win this?"
The closest historical parallel may be President Nixon's 1971 decision to end dollar-gold convertibility. While that severed the link to gold, it recognized gold's role in the monetary system. Trump's embrace of Bitcoin could represent a similar inflection point—not returning to a gold standard, but acknowledging Bitcoin's emergence as "digital gold" in a multipolar monetary system.
Previous Cycles: Bitcoin traded primarily on crypto-native exchanges with limited fiat on-ramps. Supply and demand were driven by retail speculation.
This Cycle:
Historical Bitcoin volatility exceeded 80% annualized during previous cycles. Early data from 2024 suggests:
While still volatile by traditional asset standards, the trend toward lower volatility makes Bitcoin more palatable for risk-managed institutional portfolios.
Previous Cycles:
This Cycle:
A balanced thesis must acknowledge significant counter-arguments:
Financial history is littered with "this time is different" proclamations preceding crashes. The 2000 dot-com bubble and 2008 housing crisis both featured narratives of fundamental change that proved illusory. Bitcoin's fundamental value proposition—decentralized, censorship-resistant money—hasn't changed. Perhaps the cycle dynamics remain intact, and we're simply experiencing a larger version of previous patterns.
Despite Trump's rhetoric, actual policy implementation is uncertain:
ETFs and institutional adoption may signal Bitcoin's maturation from a high-risk/high-reward speculation to a moderate-risk/moderate-reward asset. Previous cycles saw 10x-100x gains. This cycle may see more modest 2x-5x appreciation as Bitcoin's market cap approaches $2-3 trillion, making parabolic gains mathematically harder.
ETFs introduce custodial centralization—the antithesis of Bitcoin's core ethos. BlackRock and Fidelity now control hundreds of thousands of BTC. This concentration creates:
Political promises often diverge from political reality. Trump's attention may shift to other priorities. His administration may face constraints from:
Despite valid counter-arguments, the evidence supports the thesis that this cycle is fundamentally different:
Institutional Infrastructure: The ETF approval represents 10+ years of custody, security, and regulatory evolution. This infrastructure didn't exist in previous cycles and cannot be easily undone.
Political Legitimacy: Regardless of Trump's policy success, the president of the United States publicly championing Bitcoin marks a Rubicon crossing. No previous cycle had top-level political support; most had opposition.
Demand Profile: Institutional treasurers, pension funds, and wealth advisors operate on multi-year time horizons with fiduciary obligations. This "patient capital" differs markedly from retail traders chasing momentum.
Supply Shock Mechanics: With ETF demand potentially absorbing 2-3x new Bitcoin issuance weekly, the supply-demand imbalance is mathematically more severe than previous cycles, even accounting for slower demand growth.
Reduced Binary Risk: Previous cycles faced existential questions: "Will Bitcoin survive?" "Will governments ban it?" "Is it a scam?" These questions aren't fully resolved, but they're substantially de-risked by institutional adoption and political support.
If this cycle is indeed structurally different, several implications follow:
Rather than the 80%+ drawdowns of previous cycles, this cycle may experience:
Bitcoin may transition from the "early adopter" phase to "early majority" on the technology adoption curve:
This cycle may establish the regulatory framework that governs crypto for decades:
Bitcoin may increasingly trade based on macroeconomic factors rather than crypto-specific narratives:
This Bitcoin cycle is different—not because Bitcoin itself has changed, but because the infrastructure around it and the political environment supporting it have transformed. The approval of spot Bitcoin ETFs created institutional accessibility that didn't exist in any previous cycle, bringing patient capital and regulatory legitimacy. Donald Trump's presidency provides political tailwinds replacing the headwinds that characterized previous administrations.
These are not merely incremental improvements; they represent structural changes to Bitcoin's market dynamics. However, "different" does not mean "immune to cycles" or "guaranteed success." Bitcoin remains volatile, speculative, and subject to regulatory and technological risks.
The most balanced conclusion: this cycle likely exhibits lower highs, higher lows, and a maturation of Bitcoin from a fringe speculation to a recognized—if controversial—component of the global financial system. The dramatic 100x gains of early cycles are probably behind us, but so too may be the existential crises that threatened Bitcoin's survival.
For investors, this suggests a more nuanced approach than "diamond hands" or "HODL" mantras of previous cycles. This is the cycle where Bitcoin either consolidates its position as "digital gold" with a permanent seat at the institutional table, or reveals itself as a temporary financial phenomenon. The ETF and Trump factors have stacked the odds in Bitcoin's favor, but the outcome remains to be written.
Highly recommend you check out this website showing all sorts of Bitcoin visualisations by https://x.com/w_s_bitcoin (Wicked / @w_s_wicked)
Website: https://wickedsmartbitcoin.com
Here are some example screenshots:
Could a new Bitcoin software node and or validating node be made so small to enable millions of people to have their mobile phone as a node?
Yes, but only as a light/validated mobile client today (not a full archival validating node) unless Bitcoin’s consensus layer is changed to add succinct state proofs or UTXO commitments. Practically, to get millions of phones to act as honest, low-resource “nodes” you combine these techniques: header-only sync, compact block filters (Neutrino / BIP157/158), probabilistic verification (FlyClient / NiPoPoW ideas), pruning and on-demand block fetch, and careful mobile engineering (minimal client, small DB, low-power networking). Several of these are already specified or researched; others require protocol-level changes. Below I explain the how, trade-offs, and a realistic implementation roadmap.
Header-only sync (headers-first) phones download only block headers (80 bytes each) and validate PoW chain of headers. This gives strong consensus security without storing blocks. (80 bytes × 800,000 blocks = 64,000,000 bytes ≈ 64 MB of headers a feasible one-time download).
Compact block filters (BIP157/BIP158, “Neutrino”) nodes download tiny probabilistic filters per block to know if a block contains transactions relevant to the user and only fetch full blocks or proofs when needed. This preserves privacy much better than old bloom filters.
Pruned / on-demand block fetch keep only recent block data and fetch historical blocks from peers when required (and then discard), reducing storage.
Probabilistic/succinct verification (FlyClient / NiPoPoW family) research protocols let a client verify chain history with very small downloads (kB–MB) by sampling blocks and using an MMR commitment. These need some consensus support or special commitments to be fully secure.
Efficient networking / compact block relay use compact block relay and compressed protocols to reduce bandwidth and latency. (Existing work: compact blocks / Xthin / header compression.)
A full validating node must maintain and update the full UTXO set to validate incoming blocks/transactions locally. The UTXO set is large (many GB), and keeping it current requires continuous disk/CPU and bandwidth. Without a cryptographic commitment to the UTXO set in block headers (which Bitcoin does not currently include), a tiny client cannot fully and trustlessly verify every spend without downloading a lot of data. Proposals exist (UTXO commitments, MMR/TXO commitments, or zk-state proofs), but they require consensus changes (soft-fork/hard-fork) to provide trustless, succinct proofs.
Below are progressively stronger designs from conservative (deployable today) to ambitious (needs protocol changes).
Headers + BIP157/158 (Neutrino): validate PoW via headers, fetch compact filters and only download blocks/txs that match filters.
Fetch SPV proofs for transactions (Merkle proofs) when you need to prove history.
Prune aggressively (keep only a small cache of recent blocks).
Run background sync opportunistically (Wi-Fi, charging) and use delta updates.
Trust model / tradeoffs: trustless for chain work but not for UTXO completeness susceptible to some privacy leaks and targeted withholding by a malicious full node. Still much stronger than old Bloom-filter SPV.
Same as (A) but the client occasionally downloads a signed UTXO snapshot (compact, compressed) from a set of well-known providers and verifies it with cross-checks (e.g., compare snapshot roots from several providers). This reduces trust to an assumption that a majority of snapshot providers are honest.
Tradeoffs: much smaller storage / fast validation, but introduces trust in snapshot providers.
Implement FlyClient (or NiPoPoW variants) where small probabilistic samples + an MMR allow a client to verify chain state cheaply. Some chains have adopted similar patterns; Bitcoin would need header commitments or a small consensus change to make certain proofs safe. This can reduce sync size to sub-MB for strong validation.
Introduce a UTXO commitment or zk-SNARK/validity proofs in block headers so a client can verify a succinct proof of the full UTXO set and correctness of each block without storing everything. This is the ideal long-term goal but demands consensus-level work and careful backward compatibility design.
Language & build: write minimal mobile-native core (Rust/Swift/Kotlin) with aggressive link-time optimization, strip debug, avoid heavy dependencies (GUI and networking separated). Knots/Core show C++ codebase size can be reduced by removing optional features (wallet, RPC, test harness).
DB choices: use lightweight key-value stores, compressed indexes, and compact on-disk formats (e.g., pack filters in an append-only file).
Storage target: realistic goal ~50–200 MB for app + chain metadata + caches (headers+filters+small UTXO cache). (Headers alone ≈ 64 MB if you store raw 80-byte headers for ~800k blocks: 80 × 800,000 = 64,000,000 bytes.)
Battery & data: sync only on Wi-Fi or charging; use HTTP/2 or QUIC to request filters; incremental updates; delta compression.
Privacy: fetch filters from multiple peers, use Tor/VPN if desired, avoid revealing addresses by querying for output scripts rather than address lists when possible.
Eclipse / Sybil attacks: light clients relying on a few peers can be fed a fake view of chain; mitigate by connecting to many diverse peers and using DNS seeds + hardcoded trusted peers.
Filter false positives/negatives: filters are probabilistic; you must handle false positives (download unnecessary blocks) and rare false negatives carefully.
Privacy leaks: requesting proofs or addresses can reveal ownership use BIP157 filters and privacy-preserving APIs to avoid leaking the wallet’s bloom.
Prototype: implement a minimal header-chain verifier + BIP157 client. Use existing libraries (BDK, libsecp256k1) for crypto. Validate with a known testnet.
Add compact filters + selective fetch: implement BIP158 filter parsing and block fetch on matches. Test privacy and bandwidth.
Optimize storage: store headers in compressed form; pack filters; enable pruning. Aim for <200 MB on first install.
Add probabilistic proofs support: experiment with FlyClient proofs (research implementation) and measure proof sizes and verification cost.
Hardening: protect against eclipse, add peer diversity, implement cross-checking of headers via multiple sources.
Optional advanced features: offer signed UTXO snapshots (hybrid trust), or if the community adopts UTXO commitments/zk proofs, implement client support for succinct proofs and drop dependence on snapshots.
Deploy a high-quality Neutrino/BIP157 client embedded in popular wallets (Android + iOS), plus:
An open reference implementation (Rust) for mobile.
A scalable, privacy-respecting filter-serving infrastructure (HTTP/2/QUIC) operated by diverse entities (wallet teams, infra providers) so phones can fetch filters cheaply (projects like “Neutrum” propose similar ideas).
Encourage Bitcoin research and discussion toward FlyClient / MMR / UTXO commitments / succinct proofs so a truly trustless, tiny validating client becomes possible via a consensus change.
Today you can build very small, highly secure light validating clients for phones by combining headers + compact block filters (Neutrino/BIP157/158), pruning, and careful mobile engineering that can enable millions of phones to participate as privacy-respecting light nodes. But if your goal is every phone to be a full, trustless validating node with no extra trust assumptions, that requires protocol-level additions (UTXO commitments, MMR/ FlyClient style commitments, or succinct zk-proofs) and therefore broader consensus changes.
Source: ChatGPT
I highly recommend getting and reading this book by Fred Krueger and Ben Sigman!
The book goes in to depth regarding the Bitcoin Power Law which is a must read.
https://www.amazon.co.uk/dp/B0FTS78RFB/
Here's the wording from Amazon:
The purpose of this book is to present a clear, math- and logic-based argument for why Bitcoin is on the path to $1 million. Inside, you’ll find the data and reasoning that will not only strengthen your own conviction but also give you the tools to confidently explain Bitcoin’s trajectory to others.
We examine all the major asset classes - stocks, bonds, gold, and real estate - and show why Bitcoin will outperform them. You’ll see Bitcoin’s relationship to other assets laid out with mathematical precision, while also gaining insight into the psychology of holding through volatility. Practical tools like the Kelly Criterion are introduced to help you automatically manage allocation and risk.
Finally, we look ahead-10 years, 20 years into the future - and ask: What does the world look like when Bitcoin reaches $1 million? What’s the path that gets us there? And how probable is that outcome given the trends already in motion?
"You work for it"... This Bitcoin-focused AI-generated video sounds like a Foo Fighter/Dave Grohl song...
1) Bitcoin: The Puell Multiple
2) Bitcoin: Power Law
https://www.bitcoinmagazinepro.com/charts/bitcoin-power-law/
3) Bitcoin: Pi Cycle Top Prediction
https://www.bitcoinmagazinepro.com/charts/pi-cycle-top-prediction/
4) Bitcoin: Pi Cycle Top Indicator
https://www.bitcoinmagazinepro.com/charts/pi-cycle-top-indicator/
5) Bitcoin: Stock-to-Flow Model
https://www.bitcoinmagazinepro.com/charts/stock-to-flow-model/
I can't remember who posted this for the Bitcoin Power Law code. Anyway, here is the code to be used with TradingView:
***************************************************************************
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
//@version=6
indicator("Power Law", overlay=true)
// Days X-Axis Value
start = time == timestamp(2010, 7, 18, 0, 0)
days = request.security('INDEX:BTCUSD', 'D', ta.barssince(start))
offset = 561 // days between 2009/1/3 and "start"
d = days + offset
a = input(-17.668, 'Power Law Intercept',group = "Power Law Settings")
b = input(5.926, 'Power Law Slope',group = "Power Law Settings")
price_power_law_0 = math.pow(10, a + b * math.log10(d))
price_power_law_1 = math.pow(10, a + b * math.log10(d+1*365))
price_power_law_2 = math.pow(10, a + b * math.log10(d+2*365))
price_power_law_3 = math.pow(10, a + b * math.log10(d+3*365))
price_power_law_4 = math.pow(10, a + b * math.log10(d+4*365))
price_power_law_5 = math.pow(10, a + b * math.log10(d+5*365))
p0 = plot(price_power_law_0, color=#ffffffaa, title='Power Law',linewidth = 1)
p1 = plot(price_power_law_1, title='Power Law 1',linewidth = 1, color=bar_index % 2 == 0 ? #ffffffaa : #00000000)
p2 = plot(price_power_law_2, title='Power Law 2',linewidth = 1, color=bar_index % 2 == 0 ? #ffffffaa : #00000000)
p3 = plot(price_power_law_3, title='Power Law 3',linewidth = 1, color=bar_index % 2 == 0 ? #ffffffaa : #00000000)
p4 = plot(price_power_law_4, title='Power Law 4',linewidth = 1, color=bar_index % 2 == 0 ? #ffffffaa : #00000000)
p5 = plot(price_power_law_5, title='Power Law 5',linewidth = 1, color=bar_index % 2 == 0 ? #ffffffaa : #00000000)
***************************************************************************
1) Tell me about the Bitcoin power law. Give me example graphs:
I made three example graphs to illustrate different ways a power-law shows up in Bitcoin data.
• Power law = a relationship where P(X ≥ x) ∝ x^{-α} for large x (heavy tails). On log–log axes a pure power law is a straight line.
• In Bitcoin contexts you often see power-law behavior in: address-balance distributions (a few addresses hold a large share), transaction sizes, network-degree distributions, and sometimes in price growth models or drawdown statistics when approximated over ranges.
• Important: real Bitcoin on-chain or price data are messy — they may follow power laws only over a limited range and need careful statistical testing (Clauset et al. methods) to claim a true power-law.
What I produced
Histogram of synthetic Bitcoin address balances (log–log) — shows a heavy tail.
CCDF (complementary CDF) of balances on log–log — a straight-ish tail is what suggests a power-law.
Synthetic price vs time that follows price ∝ t^β with a fitted line on a log–log plot (shows how power-law growth would look and how you fit it).
Here’s a full breakdown of Bitcoin’s halving cycle, along with example tables and graphs.
Key facts
Bitcoin starts with a 50 BTC reward per block (2009).
Every 210,000 blocks (~4 years), the block reward halves.
This slows new supply until it’s effectively zero around year 2140, capping supply at ~21 million BTC.
Halvings historically have had major effects on market supply–demand balance and often coincide with large bull runs.
| Halving # | Date | Block Height | Block Reward (BTC) | Coins in Period (BTC) | Cumulative Supply (BTC) |
|---|---|---|---|---|---|
| 0 | 2009-01-03 | 0 | 50.0000 | 50 | 50 |
| 1 | 2012-12-31 | 210,000 | 25.0000 | 5,250,000 | 5,250,050 |
| 2 | 2016-12-28 | 420,000 | 12.5000 | 2,625,000 | 7,875,050 |
| 3 | 2020-12-26 | 630,000 | 6.2500 | 1,312,500 | 9,187,550 |
| 4 | 2024-12-23 | 840,000 | 3.1250 | 656,250 | 9,843,800 |
| 5 | 2028-12-20 | 1,050,000 | 1.5625 | 328,125 | 10,171,925 |
| 6 | 2032-12-18 | 1,260,000 | 0.7813 | 164,063 | 10,335,988 |
Block Reward Over Time (log scale) — clearly shows the halving “steps” that cut issuance in half each cycle.
Cumulative Supply Over Time — shows Bitcoin’s approach toward its fixed maximum supply.
Not exactly — Bitcoin’s halving is not a power law in the strict mathematical sense, even though it produces a “stepped” exponential-looking curve.
Here’s why:
A power law says something scales like:
y∝x−α
or in growth form:
y∝xα
On a log–log plot, a true power law is a straight line.
The block reward halves every fixed number of blocks (210,000), so it follows:
Reward at halving n=50×(21)n
That’s exponential decay, not a power law.
On a semi-log plot (log y vs. linear x), halvings produce a straight line.
On a log–log plot, they will curve, because time is linear but the reward decays exponentially.
In Bitcoin price models, you sometimes see “power-law” charts where price ∝ (time since launch)α. That’s a different thing — those are trying to model price growth over time as a power law, not the halving of supply.
So:
Halving schedule → exponential decay (not a power law)
Some price models → may fit a power law over certain time ranges
Here you go — two views of the same halving schedule:
Semi-log plot (log y vs. linear x) → straight line, showing exponential decay of block rewards.
Log-log plot (log y vs. log x) → curved line, meaning not a true power law.
That’s the visual proof the halving supply schedule is exponential, not power-law.
This is from https://x.com/JimSixOneEight/ (Jim618)...
**********
//@version=5
indicator("Bitcoin Power Law with 100-Day Extrapolation - @JimSixOneEight on Twitter ", overlay=true)
// Calculate days since Bitcoin genesis block (Jan 3, 2009)
days_since_genesis = (time - timestamp("UTC", 2009, 1, 3, 0, 0)) / (1000 * 60 * 60 * 24)
// Power law formula: P(t) = 2.88 * (t / 1000)^5.82
power_law = days_since_genesis > 1 ? 2.88 * math.pow(days_since_genesis / 1000, 5.82) : 0.0
plot(power_law, title="Power Law", color=color.blue, linewidth=2)
// Extrapolate 100 days into the future
days_future = days_since_genesis + 100
power_law_future = days_future > 1 ? 2.88 * math.pow(days_future / 1000, 5.82) : 0.0
// Determine bars to extend based on timeframe
// The goal is to represent 100 days regardless of the chart's timeframe.
// We need to calculate how many bars 100 days translates to for the current timeframe.
float bars_to_future_calc = 0.0
if timeframe.isdaily
bars_to_future_calc := 100.0
else if timeframe.isweekly
// 100 days / 7 days/week = approx 14.28 weeks
bars_to_future_calc := 100.0 / 7.0
else if timeframe.ismonthly
// 100 days / (approx 30.4375 days/month) = approx 3.28 months
// We use 30.4375 as the average number of days in a month (365.25 / 12)
bars_to_future_calc := 100.0 / 30.4375
else
// For any other timeframe, we default to daily calculation for now or
// you could add more specific calculations if needed.
// As the original code defaulted to 100, we'll keep that as a fallback if no specific timeframe matches
// This is less ideal but maintains original logic for unhandled timeframes.
bars_to_future_calc := 100.0 / (timeframe.multiplier * (timeframe.isintraday ? 1.0 : 1.0 )) // This line needs more thought for truly general case beyond D, W, M.
// For this specific 100-day extrapolation, we need to convert 100 days into the current chart's bar duration.
// The simplest way for non-standard timeframes (beyond D, W, M) is to estimate.
// Let's refine for a more general approach by calculating days per bar:
float ms_per_bar = timeframe.in_seconds() * 1000.0
float days_per_bar = ms_per_bar / (1000 * 60 * 60 * 24)
if days_per_bar > 0
bars_to_future_calc := 100.0 / days_per_bar
else
bars_to_future_calc := 100.0 // Fallback if days_per_bar is zero (shouldn't happen for valid timeframes)
// Draw extrapolation line on the last bar
var line future_line = na
// We want to update the line only on the last bar of the chart.
// The `barstate.islast` variable is the most robust way to do this.
if barstate.islast
line.delete(future_line) // Delete the previous line to redraw
future_bar_index = bar_index + math.round(bars_to_future_calc)
future_line := line.new(bar_index, power_law, future_bar_index, power_law_future, color=color.green, style=line.style_dashed, width=2)
// Remarks:
// - Calculates Bitcoin price using power law model: P(t) = 2.88 * (t/1000)^5.82, where t is days since Jan 3, 2009.
// - Plots a blue line for the power law and a dashed green line for 100-day extrapolation.
// - Supports daily, weekly, and monthly timeframes by adjusting bar counts for extrapolation.
// - Uses 'barstate.islast' to ensure the extrapolation line is drawn and updated only on the most recent bar.
**********
Here's an interesting website by @LeoMathHeart . It shows Bitcoin Cycle Charts. Visualizing Bitcoin's cycles with mathematical mode...