$BTC | Pi Cycle Bottom is the inverse of Pi Cycle Top. Formula: 150-day moving average divided by (471-day moving average times 0.745). When the ratio crosses below 1, late-bear-market accumulation is statistically near.
Historical fires: Jan 2015 within weeks of the cycle bottom at USD 178. Dec 2018 within the FTX-collapse-prequel window before the USD 3,200 floor. Nov 2022 within 6 weeks of the USD 15,700 floor.
Honest limitation: it is binary, not graduated. The cross fires once and you know late-bear is near; you do not get a smooth gradient telling you how close.
Inside the SatoshiMacro Model it sits in Tier 1 Valuation at low individual weight but high confluence value at bottom inflections.
Die Sechs Bewertungssignale: Warum kein einzelner Bitcoin-Indikator jeden Zyklus übersteht (und das Sechs-Stufen-Konfluenz-Framework, das das einfängt, was jedes einzelne verpasst)
Der teuerste Fehler, den ich 2018 gemacht habe, war das Führen eines Single-Indicator Bitcoin-Zyklus-Frameworks. Der Indikator war der MVRV Z-Score nach der ursprünglichen Awe and Wonder Formel. Die Lesung war Ende 2017 klar bei Z über 11. Die Exit-These war korrekt. Was brach, war 2018: das Halten durch einen -84 Prozent Drawdown bis auf USD 3.200, weil der gleiche Indikator nie wieder eine Z-Lesung druckte, die einem typischen zyklischen Boden-Anker entsprach. Das Framework funktionierte am Höhepunkt und versagte am Tiefpunkt desselben Zyklus. Single-Indicator-Frameworks haben eine schlechtere Erfolgsbilanz als die Literatur nahelegt. Survivorship-Bias ist real - die Twitter-Accounts, die einen magischen Indikator zitieren, sind die, deren magischer Indikator zufällig im letzten Zyklus funktioniert hat. Der Zyklus 2021 bewies dies brutal: Er lief als eine Doppelspitze mit einer 5-monatigen Lücke zwischen dem April-Hoch und dem November-Echo-Hoch, und diese Struktur brach das Signal sauber über jeden auf gleitenden Durchschnitten basierenden Zyklusindikator, der kontinuierlich verwendet wird. Das folgende Stück geht durch die sechs BTC-Bewertungssignale, die ich jetzt als ein Konfluenzpanel betrachte, anstatt als eigenständige Trigger, die strukturellen Blindstellen, die jedes einzelne mit sich bringt, und das mehrstufige Gewichtungs-Framework, das das einfängt, was jedes einzelne Signal verpasst.
$BTC | Das Bitcoin Rainbow Chart komprimiert die Zyklus-Position in neun logarithmischen Regressionsbändern über einen einzigen Farbrampe. Rot (Maximales Bubble-Gebiet) hat historisch gesehen im Dezember 2013, Dezember 2017, April 2021 und im späten Cluster 2025 zugeschlagen. Dunkelblau (Kaufen / Akkumulieren) hat im Januar 2015, Dezember 2018 und November 2022 zugeschlagen.
Die ehrliche Einordnung: Es ist dasselbe log-log Regressionsmodell wie das Bitcoin Power Law, nur anders visualisiert. Nützlich als schneller Überblick über die Zyklus-Position für einen Konfluenz-Stack, nicht allein tragend.
Im SatoshiMacro-Modell sitzt es als sekundäre Visualisierung in der Tier 1 Bewertungs-Karte.
Krypto Steuerverlust-Ernte in Australien für EOFY 2026: Teil IVA, Kostenbasis-Methoden und das 33-Tage-Fenster, das die meisten Retail-Trader falsch machen
$BTC | Der EOFY 2026 in Australien schließt am 30. Juni. Das sind noch 33 Tage bis heute. Für Krypto-Halter, die in Australien wohnen und unrealisierten Verluste haben, ist dies das Fenster, in dem sich die steuerliche Situation durch gezielte Maßnahmen und nicht durch Marktbewegungen erheblich ändert. Ich werde den Part IVA-Rahmen, die Wahl der Kostenbasis-Methode und die Aufzeichnungspflichten durchgehen, die 90 Prozent der Retail-Trader falsch machen. ## Die Mechanik Wenn du ein Krypto-Asset mit einem Kapitalverlust hältst, kannst du diesen Verlust realisieren, indem du es im Finanzjahr 2025 bis 2026 veräußerst. Der realisierte Kapitalverlust gleicht die Kapitalgewinne im selben Einkommensjahr aus. Jeder ungenutzte Rest wird unbegrenzt auf zukünftige Kapitalgewinne vorgetragen.
Das Bitcoin Power Law: Warum eine logarithmisch-logarithmische Regressionssteigung von 5,7 immer noch Zyklus-Extrempunkte erfasst (und wo es nicht mehr nützlich ist)
$BTC | Das Bitcoin Power Law ist der älteste Bewertungsindikator im Zyklus-Konfluenz-Stack, der immer noch funktioniert. Giovanni Santostasi und Harold Christopher Burger haben die Formel in Forschungen ab 2018 populär gemacht: Nimm die Preishistorie von Bitcoin, plotiere sie gegen die Zeit auf einer logarithmisch-logarithmischen Achse, passe eine lineare Regression an, und du bekommst eine Steigung von ungefähr 5,7. Ein Wert über dem Regressionsmittel um eine Standardabweichung markiert das Gebiet des Zyklus-Hochs. Unterhalb von 0,5 Standardabweichungen markiert das das Akkumulationsgebiet. Ich integriere es in die Tier 1 Bewertung mit 25 Prozent Gewicht im SatoshiMacro Modell, zusammen mit dem MVRV Z-Score und dem Mayer Multiple. Hier ist, was das Modell bei jedem dokumentierten BTC-Zyklus-Inflektionspunkt seit 2013 erfasst hat, und wo die Methodik nicht mehr tragfähig ist.
$BTC | Crypto Fear and Greed Index is the most-cited sentiment indicator in the crypto-analysis literature for one reason: it works as a contrarian signal at the extremes and is useless in the middle band.
The mechanic. Alternative.me publishes a composite 0-to-100 score combining volatility (25 percent), market momentum (25 percent), social media (15 percent), surveys (15 percent), dominance (10 percent), and Google Trends (10 percent). Above 75 equals Extreme Greed. Below 25 equals Extreme Fear.
Historical contrarian-fire anchors at documented cycle inflections: - 2017-12 cycle top: F and G at 95 (Extreme Greed) - 2021-04 cycle top: F and G at 78 (Greed) - 2018-12 cycle bottom: F and G at 8 (Extreme Fear) - 2020-03 COVID crash: F and G at 10 (Extreme Fear, cycle-bottom-like but mid-cycle) - 2022-11 FTX collapse: F and G at 6 (Extreme Fear, cycle bottom)
Pattern: F and G readings below 15 have historically marked entry windows. Readings above 80 have marked exit windows. The middle 25 to 75 band is mid-cycle noise that does not generate tactical signal.
Honest limitations: 1. F and G can stay below 15 for weeks before the actual cycle bottom prints. Reading below 15 is a "start sizing in" signal, not a "bottom is now" signal. 2. F and G can stay above 80 for weeks before the actual cycle top. Same logic in reverse. 3. The composite weighting was last adjusted by Alternative.me in 2019; the post-2024 ETF demand layer may have shifted what "fair value" looks like across the six components.
For Australian residents: F and G readings are most useful as confluence input to multi-tier cycle-position frameworks, not as standalone triggers. Combined with on-chain valuation signals + miner-economics signals + macro signals, F and G adds the missing sentiment dimension to a position-classifier composite.
$BTC | Puell Multiple is the miner-economics signal that complements Hash Ribbons. David Puell published the formula in 2019: daily-issuance USD value divided by the 365-day moving average of daily-issuance USD. Above 4 historically marks cycle tops; below 0.5 historically marks cycle bottoms.
Why the ratio works. When BTC is parabolic at a cycle top, daily miner revenue spikes far above its 365-day baseline. Miners have maximum incentive to sell aggressively to cover costs + lock in profits + fund capex. Puell captures that miner-distribution pressure in one number. Inverse at cycle bottoms: low price, miners barely covering costs, capitulation as weak miners shut down.
Cycle peaks have printed progressively lower readings each cycle (6.5 to 5.2 to 4.3), consistent with diminishing-amplitude thesis. The post-2024 halving cut block subsidy by half, mechanically pushing Puell lower across the board.
Honest limitation: Puell is one of the slower-responding indicators because the 365-day baseline takes time to incorporate fresh price action. Combine with faster signals (Pi Cycle, Mayer) for tactical timing.
$BTC | Altcoin Season Index is the cleanest rotation signal for cycle-timing decisions across BTC and the broader crypto market. The mechanic: track the percentage of top-50 altcoins that have outperformed BTC over the trailing 90-day window. Above 75 percent equals "Altcoin Season"; below 25 percent equals "Bitcoin Season".
Why the rotation signal matters. Late-cycle BTC tops have historically been preceded by 4-to-8 weeks of accelerating altcoin outperformance as profits rotate down the risk curve from BTC into ETH, then into mid-cap layer-1s, then into speculative micro-caps. The Altcoin Season Index captures this rotation in a single number that traders can scan in 5 seconds.
Historical anchor at documented cycle inflections: - 2017-12 cycle top: Index above 90 (full Altcoin Season) - 2021-04 cycle top: Index above 85 (full Altcoin Season) - 2018-12 cycle bottom: Index below 15 (full Bitcoin Season) - 2022-11 cycle bottom: Index below 20 (full Bitcoin Season)
The post-2024 ETF cycle introduces a structural caveat. Spot BTC ETF demand has absorbed institutional flow that historically rotated into altcoins late-cycle. The 2025 cycle top printed an Altcoin Season Index reading materially lower than 2017 or 2021 cycle tops, despite BTC making fresh ATHs. The structural shift implies "Altcoin Season" may print at lower absolute thresholds in post-ETF cycles than in pre-ETF cycles.
For Australian residents holding diversified crypto allocations: Altcoin Season Index above 75 is a "size-down altcoin exposure" signal, particularly if other tier confluence (sentiment elevated + valuation stretched + macro neutral-to-bearish) corroborates. Wrapped in 12-month CGT-discount-eligibility logic for individual parcels - the rotation signal does not override the 47-to-23.5 percent rate differential at the top marginal rate.
$BTC | Pi Cycle Bottom is the under-discussed counterpart to the more famous Pi Cycle Top indicator. The formula: signal forms when the 150-Day Moving Average approaches the 471-Day Moving Average times 0.745. When the two converge, historical Bitcoin cycle bottoms have been within 4 to 8 weeks.
Why the ratio works. The 150DMA captures medium-term price floor. The 471DMA times 0.745 captures the long-term log-regression baseline adjusted for cycle-bottom typical drawdown depth. When they converge, the medium-term price has caved enough relative to the long-term baseline that the structural-bottom probability rises materially.
Historical bottom signal precision (per SatoshiMacro implementation): the indicator has formed clean convergence signals near each documented BTC cycle bottom since 2014, with the actual price low typically printing 4 to 8 weeks after first convergence. Less precise than the Pi Cycle Top which has fired within days of cycle tops, but the bottom-zone window is more useful for incremental entry timing than the top-zone window is for exit timing.
For Australian residents the practical layer: Pi Cycle Bottom convergence signals do NOT mean "buy everything tomorrow". The 4-to-8-week window is for sizing in incremental tranches, not single-shot entry. The 12-month CGT-discount-eligibility clock starts at the buy date, so front-loading entries during Pi Cycle Bottom convergence positions you for the next cycle distribution to fall AFTER the 12-month threshold. Sequencing matters more than the single best price.
$BTC | Kostenloses Krypto-Charts-Dashboard: 33 Indikatoren auf einer Seite
Ein Ein-Seiten-Dashboard für Bitcoin + Altcoins, das 33 der meistbeobachteten Krypto-Indikatoren in einen Workflow für den Montagmorgen destilliert. Kostenlose Alternative zu Glassnode Studio, Bitcoin Magazine Pro und Bitbo Pro-Tarifen.
$BTC | EOFY 2026 steht in 34 Tagen bevor (30. Juni, 23:59 Uhr AEDT Schluss). Für Krypto-Halter in Australien, die in diesem Jahr realisierte Gewinne haben, ist die Mathematik asymmetrisch in zwei Richtungen und es lohnt sich, das richtig zu durchrechnen.
Das 50-prozentige CGT-Rabattmechanismus. Pakete, die länger als 12 Monate vom Kauf bis zur Veräußertung gehalten werden, qualifizieren sich für einen 50-prozentigen Rabatt auf den Kapitalgewinn, bevor die Steuer zum Grenzsteuersatz greift. Bei einem Grenzsteuersatz von 47 Prozent sinkt die effektive CGT von 47 Prozent auf 23,5 Prozent. Bei einem hypothetischen realisierten Gewinn von 30.000 AUD auf einem Paket, das 14 Monate gehalten wurde: - Kein Rabatt (unter 12-monatiger Halt): 30.000 AUD mal 47 Prozent = 14.100 AUD Steuer - 50 Prozent Rabatt (über 12 Monate Halt): 30.000 AUD mal 50 Prozent mal 47 Prozent = 7.050 AUD Steuer - Unterschied: 7.050 AUD bei einem einzigen Gewinn von 30.000 AUD
Die 12-Monats-Schwelle ist klar definiert. Ein Paket, das im 11. Monat verkauft wird, zahlt den höheren Satz. Verkauft im 12. Monat plus einem Tag, zahlt den niedrigeren Satz. Der marginale Wert, 1 bis 4 Wochen für Pakete, die sich der Berechtigung nähern, zu warten, ist typischerweise größer als der taktische Alpha aus Zyklus-Zeitentscheidungen.
Drei Dinge, die jeder AU-Halter vor dem 30. Juni durchrechnen sollte: 1. Ermitteln, welche Pakete die 12-Monats-Schwelle überschritten haben (oder kurz davor stehen). Die Identifikationsmethode (FIFO vs. spezifisches Paket) ist wichtig; die ATO erlaubt beides, aber du musst konsistent anwenden. 2. Berechne die steuerlichen Auswirkungen der Veräußertung JETZT im Vergleich zu nach dem Überschreiten der Schwelle für jedes Paket. 3. Wenn die realisierten Gewinne für das Geschäftsjahr 25-26 200.000 AUD übersteigen, überlege, ob einige Veräußertungen auf das Geschäftsjahr 26-27 verschoben werden können, um die Exposition gegenüber der Spitzensteuerschicht zurückzusetzen.
Kostenloser Krypto-CGT-Rechner, der den 50-prozentigen Rabatt, Identifikationsmethoden und bearbeitete AUD-Szenarien behandelt:
$BTC | Hash Ribbons ist das sauberste Signal für die Miner-Kapitulation in der Zyklus-Analyse-Literatur. Charles Edwards hat die Formel 2019 veröffentlicht. Die Mechanik: Der 30-Tage-Hashrate gleitende Durchschnitt von BTC kreuzt über den 60-Tage-Hashrate gleitenden Durchschnitt nach einer längeren Phase darunter = die Miner-Kapitulation ist beendet + der Zyklusboden bildet sich.
Warum das Signal funktioniert. Wenn der BTC-Preis unter die Betriebskosten-Grenze der Miner fällt, schalten marginale Miner ihre Rigs ab. Die Hashrate sinkt. Der 30-DMA fällt unter den 60-DMA. Sobald die schwachen Miner ausgeschwemmt sind, haben die überlebenden Miner eine höhere Rentabilität pro Coin + einen geringeren aggregierten Verkaufsdruck. Das Zurückkreuzen des 30-DMA über den 60-DMA markiert den strukturellen Wendepunkt.
Historische Feuermeldungen, die mit Zyklusböden übereinstimmten: - 2018-12: Hash Ribbons KAUF-Signal innerhalb von 6 Wochen nach Zyklusboden - 2020-04: KAUF-Signal (nach dem COVID-Crash, mitten im Zyklus, aber bodenähnlich) - 2022-11: KAUF-Signal innerhalb von 5 Wochen nach dem Zyklusboden des FTX-Crashs
Ehrliche Einschränkung: Das Signal kann während von mittleren Zyklus-Ziehungen feuern, die wie Kapitulationen aussehen, sich aber als tiefere Fortsetzungs-Rückzüge herausstellen. Die Konvergenz mit anderen Signalen ist entscheidend. Hash Ribbons allein ist nicht das Signal für den Zyklusboden.
Für australische Einwohner, die BTC für den langen Zeitraum halten: Das Hash Ribbons KAUF-Signal ist ein "beginne mit schrittweisen Trancheneinstellungen"-Auslöser, kein "kaufe morgen alles"-Auslöser. Die 12-monatige CGT-Discount-Berechtigungsuhr beginnt am Kaufdatum. Vorlaufende Eingänge während der Hash Ribbons-Konvergenz positionieren die Berechtigungsübermittlung, um mit dem erwarteten Mid-Cycle-Markup-Fenster zusammenzufallen, und nicht mit dem Zyklusboden.
The Real SMSF Crypto Tax Asymmetry: A 13.5 Percentage Point Gap and the Six-Variable Framework AU Trustees Actually Need to Run Before Setting Up
For Australian residents holding crypto as a long-horizon allocation, the tax asymmetry between personal-name and SMSF structures is the single largest after-tax-return decision in the portfolio. The gap is 13.5 percentage points on every realised long-term gain at the 47% top marginal rate. Almost nobody runs the maths properly before setting up. The piece below walks through the six-variable framework I actually use on personal capital, the three balance-tier case studies that determine whether SMSF crypto pencils out, and the honest limitations that the SMSF advisory industry tends to underweight in pitches. ## The asymmetry, in one paragraph Inside an SMSF in accumulation phase, capital gains on assets held longer than 12 months get the 1/3 CGT discount on top of the 15% concessional rate. Effective long-term CGT inside super equals 15% multiplied by two-thirds, which equals 10%. Compare this to personal-name disposal at the 47% top marginal rate after the 50% personal CGT discount, which equals 23.5% effective. The gap is 13.5 percentage points. On a single AUD 60,000 realised long-term gain, the personal-name structure pays AUD 14,100 in tax versus AUD 6,030 in the SMSF accumulation structure. Difference equals AUD 8,070 per AUD 60k gain. Compounded across a 10-year holding horizon with multiple cycle exits, the asymmetry produces six-figure differences in net retirement wealth. ## The six-variable framework before setting up The decision to run an SMSF for crypto allocation is not binary on the tax asymmetry alone. Six variables determine whether the structure pencils out for any given AU resident. Variable 1: Fund balance threshold. SMSF establishment costs run AUD 1,500 to 3,000 one-off. Annual compliance plus audit runs AUD 1,500 to 4,000. The fixed cost base means SMSF crypto allocation pencils out above approximately AUD 200,000 in total fund balance. Below that the admin drag eats the tax-discount alpha. A low-cost industry super fund with the same growth allocation usually beats the SMSF on net after-tax return below the AUD 200k threshold. Variable 2: Accumulation phase versus pension phase. The 10% effective CGT rate inside super applies during accumulation. Pension phase produces 0% personal CGT on retirement income from account-based pensions, which can be better than the 10% SMSF accumulation rate for trustees already at retirement age. The SMSF tax advantage narrows materially at pension phase. Crypto allocation inside an SMSF makes most sense for trustees with 10 to 25 years until retirement, less sense for trustees within 5 years of preservation age. Variable 3: Division 296 unrealised-gains tax. The 2026 Federal Budget announced a Division 296 30% extra tax on the proportion of total super earnings sitting above the AUD 3 million Total Super Balance threshold. Crucially the legislation as drafted captures earnings including unrealised mark-to-market movement, not just realised gains. For high-volatility growth assets like crypto inside super at high-balance accounts, this introduces a new drag that did not exist pre-2027. The legislation has not yet passed in its current form as of mid-May 2026. Anyone making structural decisions on this should reconfirm the current draft before locking anything in. Variable 4: Custody documentation. The ATO requires SMSF crypto holdings to be held in a separate legal-entity wallet with documented ownership trail. Commingling SMSF crypto with personal crypto is a regulatory breach that triggers fund disqualification at audit. Cold-storage wallets need to be registered to the SMSF trustee entity, not the personal name of any individual trustee. AUSTRAC-registered AU exchanges (CoinSpot, Independent Reserve, Cointree, Digital Surge, Swyftx, BTC Markets) all support SMSF-entity accounts with separate KYC; non-AU exchanges generally do not. Variable 5: In-house asset rules and sole purpose test. Section 71 of the SIS Act limits in-house assets to 5% of fund value. The sole purpose test under section 62 requires the fund to be maintained solely for retirement benefits. Crypto allocation passes both tests when held as a normal investment. The tests fail when the SMSF trustee uses crypto for personal trading, lending to related parties, or any non-arms-length transaction. Audit reviewers check this carefully. Variable 6: Contribution-splitting strategy. The Division 296 AUD 3 million threshold is per-member, not per-fund. Two spouses each at AUD 2.5 million TSB pay zero Division 296. One spouse at AUD 5 million and one at AUD 0 pays Division 296 on 40% of the high-balance spouses earnings. Contribution-splitting between spouses while still in working years is the standard structural response to Div 296 implementation post-2027. ## Three case studies by fund balance tier Case 1: AUD 200,000 fund balance, 60% growth allocation including 10% crypto. Crypto holding equals AUD 20,000. At 12% annualised return compounded, the AUD 20k crypto position grows to AUD 22,400 in year one, AUD 25,088 in year two. The annual SMSF admin cost of AUD 2,500 (middle of the AUD 1,500 to 4,000 range) drags the after-cost return. Verdict: SMSF marginal at this balance tier. The tax asymmetry produces approximately AUD 320 of savings per AUD 2,400 unrealised gain when realised after 12 months, versus AUD 2,500 in admin cost. Net negative for the first 3 to 5 years until the compounding catches up to the fixed cost drag. Case 2: AUD 1,000,000 fund balance, 60% growth allocation including 10% crypto. Crypto holding equals AUD 100,000. At 12% annualised return, the AUD 100k position grows to AUD 112,000 year one. The AUD 2,500 admin cost is now 0.25% of fund balance, which is below comparable retail super fund admin costs. Verdict: SMSF clearly wins at this balance tier. The 13.5 percentage point tax-asymmetry advantage on a single AUD 60k realised long-term crypto gain produces AUD 8,070 of after-tax savings, comfortably exceeding the AUD 2,500 annual admin cost. Net positive from year one. Case 3: AUD 5,000,000 fund balance, 60% growth allocation including 10% crypto. Crypto holding equals AUD 500,000. The tax-asymmetry advantage is large in nominal terms but Division 296 now applies. With TSB at AUD 5 million, the share of earnings above AUD 3 million is 40%. Hypothetical year where the AUD 500k crypto position produces AUD 200k realised gains plus AUD 300k unrealised mark-to-market equals AUD 500k total fund earnings. Normal-regime tax on 60% of earnings equals AUD 39k. Division 296 tax on 40% of earnings at 30% extra equals AUD 60k. Combined tax bill AUD 99k. Compare to personal-name running the same scenario at the 47% top marginal rate with the 50% CGT discount on the realised portion: AUD 47k on the realised plus AUD 141k on the unrealised gains classified as ordinary income equals AUD 188k. SMSF still wins by AUD 89k on this scenario but the asymmetry has narrowed from 13.5pp to roughly 9pp. Spouse-splitting becomes the standard structural response above the AUD 3m threshold. ## Honest limitations the SMSF advisory industry under-discloses Three limitations worth weighing before any SMSF crypto allocation decision. Custody complexity is not just paperwork. The cold-storage wallet registered to the SMSF trustee entity needs an inheritance plan. If the trustee dies, the next-of-kin or executor needs the seed phrase, the legal authority to access the fund, and the operational knowledge to move the holdings safely. Most SMSF estate plans I have reviewed do not handle this properly. The ATO requires the holdings to remain within the fund and not be distributed to personal names except via the proper benefit-payment mechanism. Time-horizon binding. SMSF crypto allocation is essentially locked until preservation age (55 to 60 depending on birth year). Crypto cycles run roughly 4 years. A trustee at age 45 holding 10% crypto in an SMSF cannot rebalance freely if a cycle-top exit signal fires and they want to cash out personally. The structural lock matters for risk tolerance. Division 296 unrealised-MTM drag at high balances. The example in Case 3 showed Div 296 catching unrealised gains. For a volatile asset that goes up AUD 400k mark-to-market in one year then down AUD 400k the next, Div 296 triggers in year 1 with no symmetric refund in year 2. The legislation has a carry-forward loss mechanic but no cash refund. For trustees approaching the AUD 3m TSB threshold, this creates a structural disincentive to hold high-volatility assets inside super. ## EOFY 2026 timing For trustees considering SMSF setup in time for the 2026-2027 financial year, the practical timeline is establishment by July 2026 to capture a full year of accumulation-phase tax treatment for FY 2026-27. AUD 1,500 to 3,000 establishment cost plus AUD 1,500 to 4,000 annual compliance is the budget. The 35-day window from EOFY 2026 to end-of-July is the standard onboarding window if working with an SMSF administrator like Heffron, BGL, or SuperConcepts. For trustees already running SMSFs and considering crypto allocation for the 2026-27 financial year, the optimal entry is post-EOFY with a 12-month CGT-discount-eligibility timeline targeting the next cycle distribution window. Front-load the entry timing so that 12 months later coincides with the expected mid-to-late cycle distribution, not the cycle bottom. This is the single highest-EV improvement I made to my own cycle-exit framework after 2018. ## Calculator and reference The SMSF CGT calculator at satoshimacro.com handles the 1/3 discount automatically, the Division 296 calculation for high-balance accounts, the pension-phase 0% case, and the spouse-splitting structural breakdown. Free, AUD-native, ATO-aligned methodology. Full crypto tax framework for AU residents covering CGT, ordinary income, business-of-trading classification under TR 97/11, identification methods, carry-forward losses, and the 2026 Budget changes: https://satoshimacro.com/crypto/crypto-tax-australia/ Disclosure: I built and maintain SatoshiMacro. The model is free and ad-supported (broker affiliate links on the main site, not in this Article). This Article is editorial, not financial advice. SMSF setup involves regulatory and structural decisions that warrant professional accounting and legal advice specific to individual circumstances. #SatoshiMacro #SMSF #CryptoTax #Bitcoin
$BTC | Die Bitcoin-Risiko-Metrik ist die 0-zu-1 normalisierte Zyklus-Positionsskala von Benjamin Cowen. Die qualitative Ausgabe: nahe 0 bei tiefen Zyklus-Tiefs, nahe 1 bei den Euphorie-Spitzen des Zyklus, graduell durch die Mitte. Die öffentlich offengelegte Methodik hat sich sowohl durch die Zyklen von 2021 als auch von 2025 ohne größere Formelrevisionen bewährt.
Muster: Spitzen drucken konstant Risiko über 0.78, Tiefs unter 0.10. Der mittlere Bereich von 0.10 bis 0.78 ist mid-cycle und generiert allein keinen taktischen Signal.
Wo sich die Risiko-Metrik von binären Indikatoren wie dem Pi Cycle unterscheidet: kontinuierlich und graduell, nativ geeignet für Positionsgrößen-Funktionen wie "wenn Risiko weniger als 0.20, Größe 100 Prozent; wenn 0.20 bis 0.40, Größe 70; wenn 0.40 bis 0.60, Größe 40; wenn 0.60 bis 0.80, Größe 15; wenn über 0.80, nur Verkaufs-Taktik".
Für australische Bewohner muss die oben genannte Positionsgrößen-Funktion in eine 12-monatige CGT-Discount-Eligibility-Logik eingebettet werden, bevor sie real-kapitalwirksam wird. Ein Risiko von 0.85 mit einem Paket im Monat 10 seiner 12-monatigen Haltezeit ist fast immer besser, für den 2-monatigen Eligibility-Crossing gehalten zu werden, als sofort verkauft zu werden. Die Asymmetrie von 47% Spitzen-Marginal zu 23.5% Discount-Rate übersteigt das taktische Alpha aus einem Verkauf 2 Monate zu früh.
$BTC | The 200-Week Moving Average Heatmap is the most under-rated long-horizon cycle indicator in continuous use. Originally popularised by Phillip Swift in 2019. The mechanic: colour-code each weekly close by its percentage distance from the 200-week moving average. Below 2x of the 200WMA historically marks cycle accumulation; above 6x historically marks cycle euphoria.
Why the 200WMA-distance ratio works. The 200WMA captures the long-term price floor that has held across every Bitcoin cycle since 2013. The ratio of spot to the 200WMA tells you how stretched current price is versus the structural baseline. Deep blue heatmap zones (close to 1x or below) cluster at cycle bottoms. Red heatmap zones (5x or above) cluster at cycle tops.
Historical pattern across documented BTC cycle inflections: - 2013-12 cycle top: heatmap deep red, ratio approximately 5x of the 200WMA - 2017-12 cycle top: heatmap red, ratio approximately 4.4x - 2021-04 cycle top: heatmap orange, ratio approximately 3.2x (lower than prior cycles, consistent with the diminishing-amplitude thesis) - 2015-01, 2018-12, 2022-11 cycle bottoms: all printed deep blue heatmap, ratio at or below 1.2x
For Australian residents the practical layer: 200WMA heatmap is the cleanest signal for "is this a cycle bottom" sizing-in decisions. When the heatmap goes deep blue, the long-horizon CGT-eligibility clock (12-month minimum hold for the 50 percent discount) starts at the buy date. Front-loading entries during deep-blue zones positions parcels for the next cycle distribution to fall AFTER the 12-month threshold, which is the single most-expensive timing mistake to avoid at the AU 47 percent top marginal rate.
$BTC | SMSF crypto allocation is one of the most asymmetric tax structures available to AU residents, and almost nobody runs the maths properly before setting up.
The asymmetry: inside an SMSF in accumulation phase, capital gains on assets held longer than 12 months get the 1/3 CGT discount on top of the 15% concessional rate. Effective long-term CGT inside super = 15% x 2/3 = 10%. Compare to personal-name at the 47% top marginal rate after the 50% personal CGT discount = 23.5% effective. The gap is 13.5 percentage points on every realised long-term gain.
Worked example. BTC bought at AUD 30,000, sold at AUD 90,000 after 18-month hold: - Personal name top-marginal: AUD 60k * 50% * 47% = AUD 14,100 tax - SMSF accumulation: AUD 60k * 67% * 15% = AUD 6,030 tax - Difference: AUD 8,070 on a single AUD 60k gain
Where the asymmetry narrows: - Division 296 unrealised-gains tax above AUD 3m TSB (legislation not yet passed as of May 2026) - Pension phase 0% personal CGT on retirement income from account-based pensions - Set-up + ongoing admin: AUD 1,500-3,000 establishment, AUD 1,500-4,000 annual compliance + audit - Sole purpose test + in-house asset rules bind hard on crypto custody documentation
The honest threshold: SMSF crypto allocation pencils out above approximately AUD 200,000 in fund balance. Below that the fixed admin cost eats the tax-discount alpha, and a low-cost industry super fund with the same growth allocation usually beats the SMSF on net after-tax return.
Free SMSF CGT calculator that handles the 1/3 discount + pension-phase 0% case + Division 115 carve-out automatically:
$BTC | The CARF (Crypto-Asset Reporting Framework) regime kicked in 1 January 2026 and changed the AU exchange selection math materially.
What CARF actually does: it requires AU-registered exchanges and offshore exchanges with AU clients to share trading + holding data with the ATO under a global automatic-exchange-of-information regime. The OECD framework parallels the existing CRS for traditional finance. In practice this means CoinSpot, Independent Reserve, Cointree, Swyftx, BTC Markets, and Digital Surge all have data-sharing agreements that report holdings and disposals to the ATO automatically.
The exchange-selection implication: the "use an offshore exchange to dodge AU reporting" play that worked in 2017 has been progressively closed since 2019 AUSTRAC DCE registration requirements, and CARF closed the remaining gaps. The 1 Jan 2026 implementation date means EOFY 2026 reports will be the first to include CARF-sourced data for full-year coverage.
What now matters for AU-resident crypto allocation:
1. AFSL custody framework on the exchange (or absence of it). Independent Reserve has AFSL 521209. Many AU exchanges only have AUSTRAC DCE registration, which is anti-money-laundering compliance, not financial-services custody compliance.
2. Segregated client funds versus pooled. Audit the disclosure carefully on this. Some exchanges segregate fiat but pool crypto; some pool both.
3. Withdrawal policy on staking and rehypothecation. The recent BTC Markets T&Cs change made this a live issue for AU holders.
Full breakdown of the AU-resident AUSTRAC + AFSL exchange framework with the 7 active AU exchanges ranked:
Der Rainbow Chart ist eine logarithmische Regression mit neun farbigen Zonen von "Maximale Blase" (rot, oben) bis "Im Grunde ein Feuerverkauf" (dunkelblau, unten). Es ist das am häufigsten geteilte Zyklus-Visual auf Crypto Twitter und das, wonach ich am meisten gefragt werde - also ist es wichtig, genau zu wissen, was es dir sagt und was nicht.
Was es tut: gibt einen visuellen Schnellüberblick, wo der Preis im Vergleich zur langfristigen log-regressiven Basis steht. Die HODL-Band (grün, wo wir jetzt sind) umfasst historisch den größten Teil der Zykluszeit - etwa 35-40% der Handelstage seit 2013. Die beiden oberen Bänder (FOMO + Maximale Blase) decken etwa 8-12% der Tage ab, die an den Zyklus-Spitzen konzentriert sind.
Was es nicht tut: irgendetwas vorhersagen. Der Rainbow Chart wurde genutzt, um jede falsche Vorhersage seit 2013 zu rechtfertigen, da die Bänder visuell sind, nicht probabilistisch.
Ich habe das mit echtem Kapital vom Bärenmarkt 2018 bis zur Zyklus-Spitze 2025 durchgeführt. Rainbow ist nützlich als Sentiment-Anker (wenn Crypto Twitter schreit "Wir sind in der Maximalen Blase" und das Chart HODL zeigt, ist das das Alpha-Signal). Es ist nicht nützlich als taktisches Timing-Tool.
$BTC | Power Law deviation from fair-value regression: +18% as of today.
The Power Law model fits BTC log-price against log-time-since-genesis. The regression slope sits around 5.8 across the full 2010-2026 dataset. Fair value at today's days-since-genesis sits around US$95k; spot is US$112k. So price is trading 18% above the long-term power-law fair-value line.
Historical context. The 2021-11 peak hit +180% above the power-law line. 2017-12 hit +220%. 2013-12 hit +280%. Cycle bottoms have all printed -50% to -65% below the line (2018-12 hit -62%, 2022-11 hit -55%).
Where we are: well above the line but nowhere near euphoria deviation. The +18% reading is consistent with mid-cycle "no longer cheap, not yet expensive" positioning. What I actually use this for is sizing decisions, not entry/exit calls - at +18% above the line I am running smaller incremental sizing than I would run at -40% below the line.
Position-classifier, not forecaster. Power Law slope changes if the demand structure changes; the post-2024 ETF demand layer is the single biggest structural shift this cycle, and the slope re-fit incorporates that.
$BTC | Mayer Multiple reading right now: 1.18, down from 2.07 at the late-2025 cycle top.
Mayer = BTC price / 200-day moving average. Above 2.4 historically marks cycle euphoria zones - 2013-12 hit 3.4, 2017-12 hit 2.8, 2021-04 hit 2.7. Below 0.8 marks cycle accumulation - 2015-01 0.55, 2018-12 0.65, 2022-11 0.6.
Current 1.18 sits in the Neutral band. Six months ago we were tagging the euphoria threshold; six months from now, if the cycle template holds, Mayer is below 0.9 and the accumulation framework activates. On the desk we used to treat Mayer 0.8 as the "start sizing in" trigger, not the "buy everything" signal - the 2018 bear taught me Mayer can sit below 0.8 for 9 weeks before the actual capitulation print.
Honest limitation: Mayer Multiple by itself missed the 2021-11 echo top because price went sideways while the 200DMA caught up. That is why it is one of 48 signals in the SatoshiMacro Model, not the whole model.