quantitative portfolio rebalancer

No emotions. No human error. Structural limits on every DCA dollar you deploy.

AQMath runs institutional-grade portfolio math on a secure backend engine — Risk Parity, KKT optimization, and volatility-weighted DCA. No accounts, no guesswork.

deleverage shield continuous de-risk — exposure scales down as drawdown and downside volatility rise

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aqmath --live-engine

$ aqmath engine v2.1 — initializing...

data pipeline: 4 market data sources × 180-day history → covariance matrix

$ _

--what-you-are-watching

The engine loop, live

A simulation of the exact cycle the engine runs on our backend: recompute the covariance matrix, read the drawdown / downside-volatility regime, scale exposure continuously. Every number shown is real — taken from the 8.7-year, 5-token validation backtest.

risk parity + KKT projection on live market data
continuous de-risk — no indicators, no timers
0 bytes persisted by default — portfolio processed in-memory (opt-in signal service excepted)

What is AQMath, How It Works & Why

A privacy-first quantitative rebalancer for passive crypto investors.

--what

AQMath is a quantitative portfolio rebalancer built for passive crypto investors.

It combines institutional-grade mathematics — Risk Parity, Karush-Kuhn-Tucker (KKT) optimization, and volatility-weighted Dollar-Cost Averaging — to keep your portfolio balanced without emotion, guesswork, or centralized data collection.

Non-Custodial Math Processing. Your portfolio data is sent only during DCA/Optimize and never persisted — unless you opt in to the optional signal service. No accounts. No tracking. Just math.

--how

1. Add your tokens and target allocations (or let the engine calculate them using 180-day historical volatility).

2. Click SYNC to get live prices — spot prices come from Binance’s public market data, with CoinGecko as automatic fallback. Read-only market data: no API keys, no account linking.

3. Use DCA Distribution to invest new capital only into underweight tokens, filtered by volatility and trend.

4. (Black) Run the AQMath Engine to re-compute optimal weights using full covariance matrix and KKT projection.

--why

Most portfolio tools either collect your data or offer only basic rebalancing. AQMath is different:

→ Institutional-grade math (same concepts used by multi-billion funds)
→ Non-Custodial — your portfolio stays in your browser’s localStorage, backend processing is ephemeral (opt-in signal service excepted)
→ Transparent, auditable logic (no black boxes)
→ €999 / year — transparent pricing, processed via USDC & EURC

Your balances are ephemeral — processed in-memory, never stored (the opt-in signal service excepted). No exchange API keys required. No data to sell.

Every cycle ends the same way: investors ride the rally, freeze in the crash, and sell the bottom — not for lack of intelligence, but because emotion always outruns discipline. AQMath removes emotion from the loop. While others refresh charts at 3 AM, your portfolio is already de-risking itself: as drawdown deepens and downside volatility rises, exposure scales toward stablecoins — automatically, continuously, by math you can audit line by line.

protect the downside. let the math hold the line.

--request-access [ audit the model ]

--deleverage-modulator · v14.0

Deleverage Modulator — validated on real data

v14.0 scales exposure continuously off rising drawdown and rising downside volatility — no indicators, no timers, no correlation gate. It ramps exposure toward its target steadily in either direction, and uses threshold rebalancing.

−48.8ppmax drawdown cut

0.93Sharpe (B&H 0.75)

32.9%CAGR (8.7y)

Across an 8.7-year, 5-token backtest (ADA/BNB/ETH/XRP/XLM) the modulator held peak drawdown to 35.0% versus 83.8% for Buy & Hold, and beats Buy & Hold on Sharpe (0.93 vs 0.75) at 32.9% CAGR. On a sealed out-of-sample second half never used to pick the preset it still roughly halved drawdown (~24% vs ~63%) at a higher Sharpe (0.48 vs 0.37). v14 adds threshold rebalancing (a deadband skips trades when the target barely moves), cutting rebalances ~64%. Backtest basket is survivor tokens; past results don't guarantee future performance.

NEXT-GEN UNDER TEST A next-generation shield (v18) is validated but not live yet. Backtested on the exact production path, it cut maximum drawdown below v14 on both a large-cap basket (25.7%→23.1%) and a high-volatility alt basket (36.8%→29.4%), with a higher Sharpe and Calmar (risk-adjusted scores). v14 remains the live engine.

--run-the-backtest

--community-signals

“ Fed the engine a deliberately broken book to blow past the risk caps — it held every one and scaled the risky sleeve exactly where it said it would. The allocation math is real, and that’s the part most tools fake. ”

r/quant · portfolio stress-test verification

“ I swept 225 parameter combinations around the published point — a plateau, not a spike. The grid’s best corner sits elsewhere, so the parameters weren’t max-picked. On the overfit axis, this is clean. ”

r/quant · independent deleverage sweep, 225 combinations

“ On a basket of five tokens each down ~90% from their highs, the modulator held drawdown to 32% versus 84% for buy-and-hold. There it’s not a tweak — it’s survival. ”

r/quant · independent deleverage backtest, adverse basket

--mathematical-core

The Math Behind Your Portfolio

The covariance matrix runs on our secure backend. All computation is stateless — data is processed in-memory and discarded immediately. Nothing is written to disk.

High-variance assets receive smaller dynamic caps
Correlated assets are penalized through covariance
Underweight assets are prioritized only when they improve the risk-balanced structure

--risk-model

The covariance matrix estimates how assets move together. Risk Parity then targets equal risk contribution — so no single token dominates your volatility.

[ read mathematical proof in docs ]

--optimization

KKT projection keeps allocations inside volatility caps and prevents oversized high-risk positions. When drawdown is severe, the Deleverage Shield instantly cuts exposure — stopping you from buying into a crash.

[ view formula ]

--privacy

Amounts, targets, and allocation weights stay in your browser’s localStorage. Data sent to the backend is processed in-memory and discarded immediately — nothing is persisted unless you opt in to the signal service.

[ see the privacy data flow ]

--deleverage-modulator

Continuous regime modulator: exposure scales down as drawdown and downside volatility rise — no indicators, no timers, no correlation gate. It moves exposure smoothly toward its target every bar in either direction, with no hard floor; parked DCA cash redeploys automatically once exposure recovers.

[ see 8.7-year backtest ]

--trust-anchors

● math fully documented — audit the model

● no cookies · privacy-first analytics (Simple Analytics)

● portfolio stays in your browser — server data only if you opt in

● GDPR / DSGVO compliant infrastructure

--access-tiers

FREE ACCESS

€0 / forever

Open to everyone · No account · No beta key

Core DCA distribution with volatility safety factors
Live price sync (Binance / CoinGecko)
Portfolio tracking in your browser — non-custodial
Trend filter — buys the dip, skips tokens mid-rally
Upgrade anytime to unlock Risk Parity + Deleverage Shield

Open App — no key needed

BETA ACCESS

7 slots remaining

Limited slots · Access review required · Full engine access

Full Risk Parity optimization (same as Black)
Deleverage Modulator with continuous drawdown protection
Unlimited tokens and portfolio optimization
Automatic 180-day historical data pipeline
DCA distribution with full safety pipeline
Non-custodial privacy — portfolio stays in your browser (server-side storage only if you opt in)
365-day access from activation
Send a message — we review and activate within 48h
Shared beta chat — pseudonymous, 20-message rolling buffer, deletable anytime

Request Access

BLACK Annual Access

€999 / year · ~$1,090 USD

Annual access · Paid in USDC or EURC · No name, no card, no bank record required.

Risk Parity optimization with full Covariance & Variance Matrix
Deleverage Modulator with continuous drawdown protection
Dynamic volatility-based allocation caps
Automatic 180-day historical data pipeline
Unlimited token support and portfolio optimization
Non-custodial privacy — portfolio stays in your browser (server-side storage only if you opt in)
Annual access only — no monthly or quarterly plans
14-day EU right of withdrawal — firm annual term afterwards [details]

Apply for Access

--why-we-work-this-way

Why USDC & EURC only?

Credit cards and bank transfers require your name, address, and card number. We don't want that data — and we shouldn't have it. Stablecoins let us skip all of it. You pay from a wallet, we see a transaction. Nothing personal is collected or stored.

Why limited slots?

Every user who runs the engine triggers real matrix computations on real data. These operations scale with user count. We keep the base small so every member gets fast compute, reliable uptime, and direct support — not a support ticket queue.

How do refunds work?

EU consumers have a statutory 14-day right of withdrawal and we do not pretend otherwise. By default your key is issued after those 14 days, so the period simply passes before anything is delivered. Want access sooner? Ask, and we start straight away — you keep the right for the remaining days and we settle only the part already used, pro rata. After the 14 days the annual term is firm: no refunds, and no pro-rata on later cancellation.

Why manual review?

We communicate directly with every member. No automated onboarding, no helpdesk. If something doesn't work for your setup, you reach a person who built the engine — not a chatbot. The review is to make sure AQMath is the right tool for you.

--frequently-asked-questions

How does the engine calculate risk?

The Black engine uses a Variance Matrix, asset Covariance, volatility estimates, and KKT-style projection to calculate Risk Parity allocations where each asset contributes a controlled share of portfolio risk. You can audit the full mathematical model in our [Documentation].

How is AQMath actually private?

We don’t track your wallet, and we never store your identity or portfolio in any database — with one optional exception: if you enable the personalised signal & notification service, your holdings are stored server-side under the hash of your activation key, solely to compute your daily signals and send notifications, and deleted at any time (Privacy Policy §9). By default, your token balances live only in your browser’s localStorage. During DCA and Optimize, position data is sent to our backend, processed in-memory, and discarded immediately — nothing is persisted. The only other server-side record is a one-way hashed beta-activation record (see the beta-key question below) — never your financial data. Your financial privacy is architecturally enforced. Read the full privacy architecture in our [Documentation].

Do beta keys track my IP address?

No — not in any readable form. A beta key is tied to one device/network so it can’t be shared, but we only ever store a one-way hash of your key and a one-way HMAC fingerprint of your IP. Neither can be reversed back to your real key or IP. It exists purely to enforce one-key-one-user and to rate-limit brute-force attempts — never for tracking or profiling. Full details are in Section 8 of our Privacy Policy.

What's included in Beta vs Black?

Beta access includes the full engine — Risk Parity optimization, Deleverage Shield, DCA distribution, unlimited tokens, and the automated data pipeline. It's the same math as Black, limited to 10 slots with a 365-day activation period. Black adds annual renewals and direct support.

Why are market widgets separated from features?

Live markets are informational context: ticker data, Fear & Greed, BTC dominance, movers, and exchange status. They support decision-making but are intentionally separate from the product feature story.

What is the Safe-Haven (USDC) feature?

When enabled, USDC acts as a stablecoin buffer inside your portfolio. Any surplus from hard caps or unallocated DCA budget flows into USDC instead of being lost. Toggle it OFF to treat USDC as a normal token.

How do I apply for Black access?

DM us on Telegram or Twitter. Annual access is €999 / year (~$1,090 USD). No call required — send a message, we review and send your activation key within 48h. Payments accepted exclusively in USDC and EURC.

Do you offer monthly plans?

No. AQMath operates exclusively on an annual subscription model. We do not offer monthly, quarterly, or semi-annual plans. EU consumers keep the statutory 14-day right of withdrawal — see the withdrawal notice; after that the annual term is firm and is not refunded pro rata on early cancellation.

Is AQMath a trading bot?

No. AQMath is an analytical web application. We do not execute trades, manage funds, or interact with any exchange or smart contract. You see the math, you make the decision.

Is there a mobile app?

No. AQMath is a web application only. Any app using our name on any app store is unauthorized and not affiliated with us.

Is there an automatic daily signal or notification service?

Yes — as an optional, opt-in service. If you enable it, the engine computes your deleverage shield signal and DCA schedule once per day on the server and can push a notification to your device. To do that, your holdings are stored under the hash of your activation key — never under your name or wallet — and deleted completely the moment you withdraw consent. Full details are in Section 9 of our Privacy Policy.

What is the beta chat?

Beta users get access to a shared internal chat visible only to active beta members. Messages are pseudonymous (shown as a short code like B-XXXXXX, never your real key or IP), capped at 200 characters, and limited to the 20 most recent messages (older ones are automatically swept daily). You can clear your own messages anytime. The chat is stored server-side under the hash of your activation key and is deleted when your key is deactivated.