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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
Resources

Resources

Glossary

Canonical definitions for recurring terms used throughout Stacking Sats documentation.

Last reviewed
March 22, 2026

Use this glossary as the canonical source for core docs terms.

App onboarding (new users)

  1. Sign in and open /profile.
  2. Set plan inputs (dates, budget).
  3. Generate a personal API token and configure your AI agent with Authorization: Bearer <token>.
  4. Your AI agent calls GET /api/v1/agent/signal on the schedule you define; you execute trades on your exchange or venue. Stacking Sats does not custody funds.

See Quick Start.

DCA

Dollar-Cost Averaging: fixed-amount buying on a recurring schedule.

Uniform DCA

A DCA strategy that keeps each scheduled contribution equal.

Dynamic Multiplier

A model output that scales the uniform baseline allocation up or down while preserving budget constraints over the window.

Signal Weight

The effective daily scaling value applied to the baseline allocation.

SPD (Sats per Dollar)

Satoshis obtained per dollar invested; the core backtest performance metric.

Percentile (SPD Percentile)

A normalized SPD rank within a given window, where 0% is the worst and 100% is the best window timing outcome.

Win Rate

Share of tested windows where dynamic strategy SPD outperforms uniform SPD.

Model Score

A composite benchmark combining win rate and exponentially decayed percentile.

AI agent

Any automation or service you run and configure with a personal API token from Stacking Sats (for example OpenClaw, a custom script, or a hosted workflow) that calls the Agent API to pull daily DCA weights and execute trades on the user's preferred platform.

Prerequisites

  • None.

Next Step

Signal Interpretation
  • Backtest Overview

Related Pages

  • Accumulation Strategies
  • SPD Calculation
  • Model Score

Agent builder guide

End-to-end checklist for using a personal API token with Stacking Sats and running an AI-agent-first daily signal workflow.

Bitcoin

Curated Bitcoin learning resources, dashboards, and research references.

On this page

App onboarding (new users)DCAUniform DCADynamic MultiplierSignal WeightSPD (Sats per Dollar)Percentile (SPD Percentile)Win RateModel ScoreAI agent
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