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
Stacking Sats
BetaWe're currently optimizing the experience
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
Backtest

Backtest

Performance Results

Summarizes key SPD and percentile results from the latest model backtest snapshot.

Last reviewed
March 10, 2026

The values below are rendered from the current docs snapshot.

Metric terms on this page use canonical definitions from Glossary.

As of: 2026-03-08


Source artifact: backtest-metrics.snapshot.json


Generation command: python backtest.py

SPD Statistics

MetricValueInterpretation
SPD min1,084.79 sats/$Worst window result
SPD max22,722.45 sats/$Best window result
SPD mean7,085.31 sats/$Average across windows
SPD median3,300.38 sats/$Typical window result

Percentile Statistics

MetricValueInterpretation
Percentile min4.40%Worst relative performance
Percentile max85.66%Best relative performance
Percentile mean42.77%Average percentile
Percentile median45.26%Typical percentile
Exp-decay avg56.21%Recent windows weighted more

Strategy Validation

MetricValueRequirement
Windows tested2,554All rolling 1-year windows
Losses908Windows where dynamic < uniform
Win rate64.45%>= 50% required
StatusPassedStrategy ready

Prerequisites

  • Overview
  • SPD Calculation

Next Step

Model Score

Related Pages

  • Validation Checks
  • Signal Composition
  • Weight Computation
  • Assumptions and Limitations

Overview

Start-here guide to backtest methodology, core metrics, and interpretation workflow.

SPD Calculation

Defines sats-per-dollar (SPD), percentile normalization, and interpretation ranges.

On this page

SPD StatisticsPercentile StatisticsStrategy Validation
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