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The BodyRange State Engine: A Weekly Indicator-Free Framework for Bitcoin Exposure Management

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The BodyRange State Engine (BRSE) is a deterministic, long-only, indicator-free framework designed to organize Bitcoin exposure and non-exposure using completed weekly candle-body information. BRSE updates an internal finite-state market representation only after completion of each weekly bar and produces one of three decision-support outputs: BUY, SELL, or NO ACTION. The engine excludes candle wicks, incomplete weekly observations, future information, and conventional derived technical indicators from its operational decision path. Exact state-transition predicates, body-range construction procedures, and BUY and SELL generation rules remain proprietary. The empirical study uses author-generated TradingView Strategy Tester diagnostics on weekly INDEX:BTCUSD under a signal-close execution convention, an initial capital of 10,000 USD, full-equity compounding while exposed, zero commission, zero slippage, no leverage, and no pyramiding. Two evaluation windows are reported separately. Over the full-history 2011-2026 window, BRSE generated an endpoint net PnL of 79,307,560.57 USD, compared with 98,283,060.00 USD for continuous Bitcoin buy-and-hold. Buy-and-hold therefore produced the larger endpoint outcome over the complete historical window. Over the 2020-2026 modern-cycle window, BRSE generated an endpoint net PnL of 128,515.07 USD, compared with 122,939.00 USD for calendar-aligned Bitcoin buy-and-hold, producing a positive endpoint difference of 5,576.07 USD. The results are therefore window-dependent. BRSE is not presented as universally superior to continuous Bitcoin buy-and-hold. Instead, the diagnostics illustrate the potential benefits and opportunity costs of deterministic selective exposure across different Bitcoin market environments. Selected case studies further demonstrate SELL, BUY, failed re-entry, and continued non-exposure behavior without claiming prediction of pandemics, exchange failures, fraud, news events, or future market direction. The paper provides a public, non-replicating methodological description of BRSE together with coded TradingView diagnostics. The results have not been independently verified and do not constitute evidence of capacity-realistic institutional performance, guaranteed future returns, perfect market timing, or universal market superiority.
Title: The BodyRange State Engine: A Weekly Indicator-Free Framework for Bitcoin Exposure Management
Description:
The BodyRange State Engine (BRSE) is a deterministic, long-only, indicator-free framework designed to organize Bitcoin exposure and non-exposure using completed weekly candle-body information.
BRSE updates an internal finite-state market representation only after completion of each weekly bar and produces one of three decision-support outputs: BUY, SELL, or NO ACTION.
The engine excludes candle wicks, incomplete weekly observations, future information, and conventional derived technical indicators from its operational decision path.
Exact state-transition predicates, body-range construction procedures, and BUY and SELL generation rules remain proprietary.
The empirical study uses author-generated TradingView Strategy Tester diagnostics on weekly INDEX:BTCUSD under a signal-close execution convention, an initial capital of 10,000 USD, full-equity compounding while exposed, zero commission, zero slippage, no leverage, and no pyramiding.
Two evaluation windows are reported separately.
Over the full-history 2011-2026 window, BRSE generated an endpoint net PnL of 79,307,560.
57 USD, compared with 98,283,060.
00 USD for continuous Bitcoin buy-and-hold.
Buy-and-hold therefore produced the larger endpoint outcome over the complete historical window.
Over the 2020-2026 modern-cycle window, BRSE generated an endpoint net PnL of 128,515.
07 USD, compared with 122,939.
00 USD for calendar-aligned Bitcoin buy-and-hold, producing a positive endpoint difference of 5,576.
07 USD.
The results are therefore window-dependent.
BRSE is not presented as universally superior to continuous Bitcoin buy-and-hold.
Instead, the diagnostics illustrate the potential benefits and opportunity costs of deterministic selective exposure across different Bitcoin market environments.
Selected case studies further demonstrate SELL, BUY, failed re-entry, and continued non-exposure behavior without claiming prediction of pandemics, exchange failures, fraud, news events, or future market direction.
The paper provides a public, non-replicating methodological description of BRSE together with coded TradingView diagnostics.
The results have not been independently verified and do not constitute evidence of capacity-realistic institutional performance, guaranteed future returns, perfect market timing, or universal market superiority.

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