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Stacking Sats Docs
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IntroductionQuick Start
OverviewSignal InterpretationAccumulation StrategiesAssumptions and Limitations
OverviewWeight ComputationFeature ConstructionSignal CompositionDynamic MultiplierModel Constants
OverviewPerformance ResultsSPD CalculationModel ScoreValidation Checks
OverviewAgent APIAgent builder guideGlossaryBitcoin
OverviewContributing
Model

Model

Dynamic Multiplier

Details the dynamic multiplier logic, extreme-zone boosts, and trend adaptation.

Last reviewed
March 10, 2026

The dynamic multiplier modifies base uniform allocations using asymmetric valuation and trend logic.

Asymmetric Extreme Boost

ZoneZ-ScoreAction
Deep ValueZ < -2.0Aggressive accumulation
Value-2.0 ≤ Z < -1.0Increased buying
Neutral-1.0 ≤ Z < 1.5Baseline behavior
Caution1.5 ≤ Z < 2.5Reduced buying
DangerZ ≥ 2.5Minimized buying

Adaptive Trend Modifier

Threshold sensitivity adapts to valuation regime so trend changes are treated differently in value vs danger zones.

Prerequisites

  • Signal Composition
  • Comfort with z-score interpretation.

Next Step

Model Constants

Related Pages

  • Feature Construction
  • Weight Computation
  • Backtest Performance Results

Signal Composition

Explains how weighted signals and modifiers combine into final allocation behavior.

Model Constants

Reference of model constants, tuning parameters, and implementation defaults.

On this page

Asymmetric Extreme BoostAdaptive Trend Modifier
Stacking Sats Logo

Stacking Sats is an open source initiative for building, backtesting, and deploying optimal Bitcoin accumulation strategies for both retail and institutional investors.

Quick Links

AboutDocumentation

Connect

DiscordDiscordXX (Twitter)LinkedInLinkedInGitHubGitHub
© 2024 Stacking Sats. All rights reserved.
PrivacyPrivacy Policy•TermsTerms of Service