Backtest the Deleverage Shield on Your Own Data

Upload your own historical price CSVs for up to five tokens and run two engines in parallel on identical terms: the fixed-threshold Deleverage Shield Aegis (v14.0) and the vol-scaled adaptive production engine Proteus (v18) — all against plain Buy & Hold. Every engine gets identical DCA capital on the same schedule, so the only difference you see is the exposure control itself — how far each rule pulls risk off the table in stress, and what that costs in upside.

Your CSV file never leaves your machine: it is parsed in your browser, and only the resulting price series is sent to the engine, where it is processed in-memory and discarded — never stored, never logged. The run happens on the server because the modulator's parameters stay there and are never shipped to the browser. Results are scored on risk-adjusted return (Sharpe and Calmar), not on whether they beat Buy & Hold in raw percent.

Hypothetical results. This page computes a simulation from the price history you upload. A backtest applies a strategy to the past with complete knowledge of how that period turned out — knowledge nobody had at the time — and it ignores slippage, spreads and taxes, though it does charge a simulated 0.1% exchange fee on every rebalance, DCA buy and redeployment. Hypothetical and past performance is not a reliable indicator of future results. AQMath is software for your own analysis: it is not investment advice, not a recommendation to buy or sell any asset, and it never places orders or holds funds.