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

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Stacking Sats Docs
Stacking Sats Docs
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

Weight Computation

Documents default weight computation inputs, model properties, and behavior.

Last reviewed
March 10, 2026

This page documents the default MVRV + 200-day moving-average model used for Stacking Sats daily signals.

The model computes dynamic DCA weights by combining valuation and trend features, then normalizing allocations over the selected window.

Signal Inputs

  • MVRV z-score
  • Price vs 200-day moving average
  • 4-year cycle percentile
  • MVRV momentum and confidence modifiers
  • Volatility dampening

Key Properties

  • Weights sum to 1.0 per window (within tolerance).
  • Minimum weight floor prevents zero-allocation gaps.
  • Results are deterministic for identical inputs.
  • Past computed weights remain fixed once calculated.

Prerequisites

  • Accumulation Strategies
  • Basic familiarity with moving averages and z-scores.

Next Step

Signal Composition

Related Pages

  • Feature Construction
  • Dynamic Multiplier
  • Backtest Overview

Overview

Start-here guide to model mechanics, signal composition, and implementation flow.

Feature Construction

Shows how model features are derived from raw price and MVRV data.

On this page

Signal InputsKey Properties
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