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v2.1
One-Tap Alignment is here. Confirm or adjust portfolio signals straight from the notification — no extra steps.
Confirm, skip or adjust signals in one tap
Regime-aware alerts (SHOCK / LOW_VOL)
Small fixes & polish
🔒 AQMath Black — Apply for Access
AQMath Black is €999 / year. Access is limited to a small number of users to keep compute fast and support direct.
We accept USDC and EURC only — no credit card, no bank transfer, no personal data collected.
Send a message and we'll review your request within 48h. No call required.
EU consumers keep the statutory 14-day right of withdrawal. By default your key is issued after those 14 days; ask us and we activate immediately, settling only the part already used. Details in the Terms.
Upload your own historical price CSVs for up to five tokens and run the engine that runs your portfolio: Proteus (v18), the vol-scaled adaptive Deleverage Shield, against plain Buy & Hold. Both get identical DCA capital on the same schedule, so the only difference you see is the exposure control itself — how far the shield 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.
PROTEUS (v18) IS LIVE This tab runs one engine: Proteus (v18), the production shield — the same volatility-scaled adaptive code path a live portfolio is replayed through every day, with thresholds that auto-tune to both calm large-cap baskets and high-vol alt baskets. The former Aegis (v14) comparison leg is retired from the backtest; v14 still runs in production only as a warm-up fallback for portfolios too young to calibrate the adaptive threshold.
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.
Please wait while AQMath calculates...
--deleverage-backtesting
How it works: Upload historical price CSVs for your tokens (up to 5). Every run executes the production engine — Proteus (v18), volatility-scaled dynamic thresholds with V-bounce re-entry — on your basket, capital and DCA schedule, next to Buy & Hold, which buys tokens unconditionally and stays fully exposed. The basket follows the same 180-day macro loop as production — a KKT risk-parity re-optimisation every 180 days on the trailing 180-day window. Both legs charge the same simulated fees and redeploy parked DCA cash the same way, and results are scored on risk-adjusted return (Sharpe and Calmar), not on beating Buy & Hold.
--price-data
CSV format: Header with date column (event_date/date/Date) + price column (close_price_usd/Close/price). Equal-weighted portfolio.
Token 1
Drop CSV or click
Token 2
Drop CSV or click
Token 3
Drop CSV or click
Token 4
Drop CSV or click
Token 5
Drop CSV or click
--backtest-settings
--strategy-comparison
--deleverage-metrics
--equity-curves
--capital-breakdown
--shield-exposure
--event-log
DCA (cyan) = periodic contribution — buys tokens when risk-on, parks to USDC when defensive (exposure < 40%) | REDEPLOY (green) = parked cash returns to tokens once exposure recovers ≥ 40%. Every row is the production Proteus (v18) engine.
