Backtesting

Backtesting.

AstravaQuant evaluates historical model behavior using dated score observations that are actually published. Hypothetical results remain clearly labeled as hypothetical.

Connecting research feeds

Historical regime path

Waiting for verified observations.

History

Hover or drag across the chart to inspect each dated observation.

Connecting to verified research feeds.

Observations--
Latest score--
Classification--
Latest date--
Transitions--
Current streak--
Test window--
Recent Transitions

Recalculated when thresholds change.

Waiting for score history.

Dated Observations

Newest first.

Waiting for score history.

Historical score analysis is not realized performance. It is a diagnostic view of dated model states.

Methodology and limitsOpen reference notes

What AstravaQuant evaluates.

Data

  • Public backtests use dated score rows already present in the connected workbooks.
  • Blank rows, future placeholders, and formula errors are excluded rather than coerced to zero.
  • Source tabs are disclosed alongside each series.

Signal

  • Series include Medium-Term Trend, Long-Term Trend, MRPI, and the Bitcoin valuation composite.
  • Thresholds are adjustable for inspection, but the dated scores themselves are not altered.

Execution Assumptions

  • The public app does not convert score changes into assumed trades, fills, or P&L.
  • Closing-data timing, slippage, fees, and transaction costs remain undisclosed unless a benchmark test is added.
  • No backtest on this page should be read as realized performance.

Test Design

  • Observed history is limited to the dated rows published in the forward-testing sheets.
  • In-sample, out-of-sample, and walk-forward procedures are not fully disclosed in the current repo.
Revision Control Material parameter, threshold, and methodology changes are logged before a revised public backtest is published.

Robustness

  • The current public page supports threshold and window inspection.
  • Alternative lookbacks, sensitivity analysis, and subperiod studies are not yet published.

Limitations

  • Hypothetical analysis is hypothetical.
  • Look-ahead bias, overfitting, data-mining, and regime dependence must be discussed explicitly.
  • Past performance does not guarantee future results.

Current ratio reads.

Connecting ratio models.

Workbook coverageView 15 research tabs

Connected public research tabs.