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return-scenario-engine

Dependency-free historical investment scenarios for caller-owned normalized index series. Gale Finance Compare Lab uses return-scenario-engine@0.1.0 for its historical calculations. TypeScript and Python use the same calculation rules and are tested against the same scenarios and expected results.

Gale Finance Compare Lab: a $1,000 BTC versus gold result

Captured September 10, 2026: a public $1,000 BTC versus gold calculation for September 9, 2025 through September 9, 2026. The result cards show $698.77 and $1,213.96. The reproducible public scenario uses Gale Compare Lab, powered by this library's historical calculations.

npm install return-scenario-engine
# or: python -m pip install return-scenario-engine
import { calculateScenario } from 'return-scenario-engine';

const dates = ['2024-01-01', '2024-01-02', '2024-01-03'];
const result = calculateScenario({
  amountCents: 100_000,
  requestedStart: '2024-01-01',
  requestedEnd: '2024-01-03',
  assetA: { assetKey: 'sample-a', schemaVersion: 1, methodologyVersion: 'return-scenario-v1.0.0', seriesBasis: 'close_index', annualizationFactor: 365, dates, growthIndex: [100, 110, 121] },
  assetB: { assetKey: 'sample-b', schemaVersion: 1, methodologyVersion: 'return-scenario-v1.0.0', seriesBasis: 'close_index', annualizationFactor: 365, dates, growthIndex: [100, 95, 100] },
});

console.log(result.status); // "ok"

Each artifact provides its key, schema/methodology versions, series basis, annualization factor, ordered civil dates, and positive normalized index values. Results contain snapped dates, integer-cent ending values, display-rounded metrics, drawdown/recovery data, correlation, and a shared wealth path; invalid inputs return named errors.

roundHalfAwayFromZero / round_half_away_from_zero accept any positive safe integer scale and reject nonfinite values, invalid scales, and unsafe results.

Reproducible synthetic financial scenario result

Output from the reproducible synthetic crypto_crypto_long_window fixture: a $1,000 scenario ends at $2,309.81 for asset A and $845.66 for asset B.

Contract and limits

Node.js 20+ and Python 3.11+ are supported. Both 0.1.0 artifacts share the methodology JSON, public SHA-256 hash, and synthetic fixtures. Read return-scenario-v1.json before comparing outputs. The package does not fetch prices, select assets, retain provider data, or implement routes and UI. The 0.1.0 npm and PyPI artifacts are immutable.

Development

npm ci
python -m pip install -e './python[test]'
PYTHON_BIN=python3 npm test
python -m build python

npm test builds a temporary Python wheel and checks every golden scenario against both implementations. Fixtures are synthetic and contain no provider history.

First release

For the first npm release, publish the reviewed tarball interactively with 2FA and configure npm trusted publishing for .github/workflows/release.yml and its npm environment. Configure PyPI's pending trusted publisher, then run the manual release workflow against the existing tag with target pypi to upload the matching Python artifact. Verify both registries before creating the GitHub Release. Later releases use the same manual workflow with target both; retry a single failed side with npm or pypi. Never republish an immutable existing version or treat a mismatched pair as successful.

Origin

Gale Finance uses return-scenario-engine@0.1.0 for the historical calculations in Compare Lab. Gale’s launch-bundle formats, UI, routes, analytics, market data, and asset policy stay private.

Early commits reconstruct private-monorepo milestones. Author dates reflect original work; public content and hashes were rewritten to exclude private details. Some early development used Claude as a coding assistant; Sid Kalla selected, reviewed, and maintains this code.

Apache-2.0 covers this code and does not grant rights to Gale Finance branding. See CONTRIBUTING, SECURITY, and AGENT_INTEGRATION.

Maintenance is best effort; the latest release is supported unless its notes say otherwise.

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Historical investment scenario calculations with matching TypeScript and Python implementations.

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