BitcoinReversalFramework
Defined cycle conditions translated into clear research signals.
BitcoinReversal combines rules-based Bitcoin market structure with a documented liquidity condition used only in defined sell-side logic.
Designed for weekly and monthly research — not intraday trade calls, certainty language or guaranteed outcomes.
How the framework works
The framework evaluates rules-based Bitcoin market structure. For sell-side logic, it also applies a documented central-bank balance-sheet condition. Its purpose is to structure interpretation around major cycle zones rather than predict exact timing.
Low-frequency by design. Rules-based interpretation. No intraday alerts.
What the framework measures
BitcoinReversal is a regime-aware framework for long-term investors. It highlights cycle-relevant conditions rather than intraday momentum, news sentiment, or short-term execution setups.
- Rules-based risk model, not discretionary interpretation
- Bitcoin market structure with a documented sell-side liquidity condition
- Conditions are detected; outcomes are not promised
- Designed for weekly / monthly interpretation
If you need frequent alerts, this is not for you.
Documented liquidity condition
A verified sell-side liquidity layer uses central-bank total-assets behavior alongside bearish Bitcoin market structure. Broader rates and yield conditions remain research context rather than direct computed inputs shown here.
Market structure first. Liquidity as a documented sell-side condition.
Only documented inputs are shown as model logic. Broader macro conditions remain research context.
- Long-term trend and structure
- Cycle pressure conditions
- Rules-based confirmation
- Central-bank total-assets behavior
- QE/QT direction and recovery event
- Evaluated with bearish Bitcoin structure
A low-frequency view of developing buy-side, sell-side or transitional conditions.
Broader rates and yield conditions may inform research interpretation, but are not displayed as direct model inputs.
Architecture only. No live score or reading is implied by this diagram.
Selected Historical Cycle Snapshots
Selected visual references for how the framework has aligned with major cycle zones. The current examples focus on the 2021 cycle peak and the 2022/23 market bottom. Context only — not guarantees.
Definition: An expansion risk regime occurs when elevated market pressure aligns with improving liquidity.
Result: Conditions aligned with the broader peak structure that preceded a prolonged drawdown.
Definition: A recovery regime often appears after severe pressure compression and broader cycle reset.
Result: Conditions aligned with the early phase of the next cycle expansion and broader bottoming structure.
Execution comparison
A synchronized summary of the methodology result shown in the chart below. Use the chart controls to change start year, capital or tax.
Assumptions
Performance totals in this block are mirrored from the methodology result in the chart below. The list shows historical execution windows and reference prices for the four weekly tranches. The public demo excludes the most recent hidden period. Fees, slippage, spreads, custody risk, execution delay and individual tax complexity are excluded. Market research only. Not financial advice.
Methodology settings
Confirmed weekly signal windows, four equal weekly tranches, matched first entry for Buy & Hold, and no leverage or shorting.
Public demo excludes the latest hidden period. Tax is a simplified gain-based sensitivity control, not tax advice.
Illustrative historical simulation — not actual client performance. First tranche uses the signal-week close; fees and slippage are 0%. Full methodology and CSV
Framework benefits and methodology
BitcoinReversal is a rules-based Bitcoin cycle framework built on mathematical market models. A verified sell-side liquidity condition evaluates central-bank total-assets behavior alongside bearish Bitcoin market structure, while broader macro conditions remain research context.
Market structure + liquidity condition
The core framework uses rules-based mathematical market signals. Its documented sell-side condition adds central-bank total-assets behavior when bearish Bitcoin structure is present.
Compressed decision framework
Multiple inputs are synthesized into a more compressed signal structure designed to help users interpret when long-term buy- or sell-side conditions are becoming more relevant.
Low-frequency by design
Built for multi-month horizons and disciplined allocation decisions. This framework is not intended for constant alerts, intraday trading, or short-term execution.
How the framework becomes an interpretable state
The framework compresses multiple rules into a low-frequency research view while keeping implementation limits explicit.
- 01
Market structure
Long-term trend, cycle pressure and predefined Bitcoin model conditions.
- 02
Rules confirmation
Conditions are combined through fixed confirmation logic rather than discretionary chart reading.
- 03
Conditional liquidity
Central-bank total-assets behavior is evaluated only with bearish Bitcoin structure in defined sell-side logic.
- 04
Framework state
The output translates the defined conditions into buy-side, sell-side and transitional signals for long-term decision support.
Historical comparisons are illustrative in-sample research, not customer results or a forecast. The public demo omits the current member window.
Review methodology, assumptions and CSV