Thirty questions for the curious allocator

Long and short positions in USDT-margined perpetual futures on roughly 20–40 of the most liquid cryptocurrencies — predominantly Bitcoin, Ethereum, and selected altcoins — at Binance, OKX and Bybit. The programme is directional, not market-neutral: net exposure shifts with the signal composite, and that is how alpha is generated. The active instrument set is reviewed regularly against liquidity, spread and open-interest thresholds; instruments that fail the thresholds are dropped.

Approximately fifty. They span trend-following, counter-trend, mean reversion, momentum and volatility families, applied across four timeframes (5 minutes, 15 minutes, 1 hour, 4 hours). Capital is allocated on a risk-parity basis so each sub-strategy contributes a similar share of risk rather than being weighted by expected return. The overall capital split is roughly 90% trend-following and 10% counter-trend — the counter-trend allocation compensates during mean-reverting or choppy periods while trend-following carries the directional book.

Both rules-based and statistical. Most sub-strategies combine rules-based signal constructs with statistical or machine-learned features for parameter selection. All production trading strategies are explicable — opaque black-box models are not deployed without explicit Investment Committee approval, and the IC has not approved any to date. AI agents are used heavily across operations (compliance monitoring, risk reporting, investor support, software development) but not in the trading-signal chain.

It thrives in trending and trending-volatile regimes — sustained moves in either direction, with enough volatility for the entry and exit logic to capture range. It struggles in extended low-volatility regimes where signals do not develop, and in chop where directional moves reverse before take-profits trigger. The counter-trend and volatility-filter sub-strategies were added specifically to dampen performance in those conditions. Concrete evidence: during January–February 2026, Bitcoin fell roughly 24% while the Stable strategy returned approximately +47% gross and Diversified approximately +26% gross — directional short-side moves are favourable conditions, not catastrophic ones.

Every sub-strategy undergoes quarterly review against live-versus-research drift and rolling information-ratio thresholds. Decaying strategies are de-weighted and ultimately retired. New candidates enter through a six-stage validation pipeline: in-sample → out-of-sample → cross-validation → paper-traded incubation → live incubation with size cap → full production. Strategies whose risk-reward collapses in a market shock — cross-exchange arbitrage and similar latency-dependent constructs are the canonical example — are structurally excluded regardless of back-tested Sharpe.

On the client's own SMA or MSA at Binance, OKX or Bybit, routed by Algotoria's proprietary Execution Engine. The engine prioritises maker-side fills to compound rebates; the current realised mix is about 60/40 maker/taker, with 100% maker execution as a medium-term target. Sub-strategies with similar exposures are concentrated on the same venue where possible, so cross-venue risk does not depend on timely rebalancing.

In a Separately Managed Account (SMA) the client is the master account holder at the exchange and retains full control of API keys; Algotoria is whitelisted with a trade-only key. In a Managed Sub-Account (MSA) Algotoria provisions a dedicated sub-account under its institutional umbrella — the client still owns the assets, but the sub-account usually qualifies for preferential VIP trading fees. For most clients an MSA is the better economics; SMA is the right choice when the client requires direct treasury control over the master account or already holds a VIP tier of their own.

No. The API keys provisioned to Algotoria carry trade-only and read-only permissions. Withdrawal permissions are never requested. Clients create and rotate their own keys for SMAs; for MSAs, Algotoria issues and rotates keys on the client's behalf under the Asset Management Agreement. The separation is structural — no code path in our stack is able to withdraw, transfer or pledge client assets.

Mid-frequency. The average position holds for about 3.6 days. The book trades roughly 50 times per day at portfolio level, and daily traded volume runs at about 1× AUM. We do not run high-frequency market-making or latency arbitrage.

The Execution Engine gracefully degrades. Positions remain in the client's account on the affected venue; orders that cannot be routed are queued until the venue is restored. The firm does not rely on cross-exchange rebalancing as a primary risk control, so a single-venue outage degrades execution but does not generate cascading losses.

Typically five to seven business days from first KYC submission to first live trade. The sequence is: sign the Asset Management Agreement and acknowledge the Risk Notice → pass KYC / AML → open the exchange account → whitelist Algotoria's API keys → fund the account.

Typical annual drawdowns of 20–25% on Algotoria Stable, 15–30% on Algotoria Diversified. Historical back-tests reached 30%. Drawdowns beyond these ranges trigger a formal Investment Committee review.

All drawdown figures quoted on this site — and the agreed account-risk parameter selected during onboarding — are measured on the gross trading-account return curve, before deduction of Algotoria's quarterly performance fee. Net-of-fee drawdowns experienced by the investor are larger by construction. Worked example: for Algotoria Stable over 2024-01-01 → 2026-04-30, the adjusted maximum drawdown is −22.3% gross, −24.5% net of a 25% fee, and −24.9% net of a 30% fee.

Aggregate leverage is capped at 3.0× of account value across all open positions, and is dynamic — it scales down as realised volatility rises. By risk tier, average applied leverage is roughly 100% at High, 67% at Medium, 33% at Conservative; maximum applied leverage is 300 / 200 / 100%. Lower tiers are delivered by scaling leverage down; the strategy logic, signal generation and execution model are otherwise identical across tiers.

The firm monitors 95% one-day parametric VaR at the portfolio level, computed on exchange-matched returns, with a target of approximately 2%. No single sub-strategy may contribute more than 5% of the portfolio's 95% VaR. Realised correlations between sub-strategies are monitored daily; if they drift above Investment Committee thresholds, affected sub-strategies are de-weighted or temporarily suspended. Drawdown-based circuit breakers operate at the strategy, sub-strategy and instrument level; breaches de-risk automatically and escalate to the IC.

The account-risk parameter is a hard-coded ceiling on the portfolio's gross drawdown from its most recent high-water mark. If the gross drawdown reaches the ceiling, the risk engine halts trading automatically and the Investment Committee reviews the book before resumption. The ceiling is the headline number selected during onboarding (10% / 20% / 30% for Stable; 15% / 25% / 35% for Diversified) and it is enforced in code, not by discretion. The investor may change the tier at any quarter-end.

Client assets sit at the exchange in the client's own account, so an exchange insolvency directly impacts the client — not the firm. We select venues with proof-of-reserves practices, strong regulation and an established track record (Binance, OKX, Bybit), but exchange exposure remains the client's choice and their risk. For stablecoin risk: USDT is the primary collateral for Algotoria Stable, and a full USDT depeg would materially impair the account. Algotoria Diversified mitigates single-issuer concentration by holding part of the collateral in BTC / ETH / approved altcoins and tokenised RWAs (e.g. PAXG) — but it does not eliminate it.

Yes. Cryptocurrency derivatives carry the risk of total loss of capital committed. The strategy's risk-parity framework, the hard-coded drawdown halts, the dynamic leverage caps and the non-custodial model are designed to keep that probability low — but they do not eliminate it. Black-swan combinations (simultaneous exchange insolvency, stablecoin depeg, prolonged platform outage) can produce losses well beyond the agreed risk ceiling. Do not allocate capital you cannot afford to lose. The full Risk Disclosure Notice is the authoritative document.

TSLab for strategy logic, the proprietary Algotoria Execution Engine for order management, and a service layer on Hetzner and Google Cloud for infrastructure. A 24/7 Network Operations Centre and a Security Operations Centre monitor the stack in real time, with alerts paging the on-call engineer within seconds. The monitoring layer is Zabbix for infrastructure, Prometheus / Grafana for application metrics, and the proprietary Algotoria Monitoring System for strategy-level anomalies.

By construction. Algotoria's stack sends only trade-only API calls. No code path is able to withdraw, transfer or pledge client assets — the API key permissions issued by the exchange do not allow it. Separation is structural, not policy. API keys are encrypted at rest in a hardware-backed key store, rotated on schedule and on every incident, and access is strictly role-based and logged.

It means every operational function — software development, risk monitoring, compliance, accounting, investor support and marketing — is executed through AI-assisted workflows under human-in-the-loop oversight. Three concrete outcomes for the investor: the 0% management fee, minutes-not-days response times on investor enquiries and due-diligence requests, and full audit trails preserved in tenant-level logs across every discretionary decision. The Board-approved AI and External Data Provider Policy is aligned with ISO 42001 (AI management systems) and the NIST AI Risk Management Framework. Trading decisions remain rules-based and Investment Committee–approved; AI does not make discretionary trading calls.

No. All production trading signals originate from rules-based or explicable statistical models approved by the Investment Committee. Opaque black-box models are not deployed without explicit IC approval, and the IC has not approved any to date. AI agents support operations — compliance monitoring, risk reporting, investor support, software development — not the trading signal chain itself.

The Board approves and reviews the AI and External Data Provider Policy, which governs the use of AI agents across every operational function. Each AI-assisted decision is logged with a full audit trail tied to the tenant and the function. The policy enumerates which models are approved for which workflows, which data classes may and may not be sent to model providers, and the human-in-the-loop checkpoints that gate consequential decisions. Compliance, risk and information-security functions are aligned with ISO 42001 and the NIST AI Risk Management Framework.

Daily time-weighted returns (TWR) with compounding, computed from the unrealised margin balance of each strategy's reference portfolio, denominated in USDT and rebased to 0.00% on 1 January 2024 for the public chart. TWR is the industry-standard methodology that eliminates the distortive effect of capital movements (deposits and withdrawals) on the percentage return. Exchange dashboards (OKX, Binance, Bybit) use simplified estimation methods that do not properly handle transfers, so their headline percentage will differ. The absolute dollar-denominated P&L on the exchange dashboard remains correct; only the percentage is affected.

Via TradeLink Passport, which streams each strategy's reference portfolio through a read-only exchange API. Links to the Diversified and Stable portfolios are on the Performance page. On request, Algotoria will additionally provision read-only API keys to your designated auditor or verification platform, giving direct access to the full trade history and daily return series on the underlying exchange accounts — so you can reconstruct and verify every published metric without relying on firm-generated reports.

Zero management fee, zero entry fee. A quarterly performance fee of 25–30% (tiered by allocation size) on Net Trading Profits above a rolling high-water mark. Formula: P = E − MAX(B, HW) − I, where E is the ending balance, B is the starting balance, HW is the rolling high-water mark, and I is net inflows/outflows. If the account falls below the HWM, no fees are levied until the deficit is fully recovered through trading gains. Clawbacks are explicitly not applied. Diversified uses the NAV-based variant (AMA §1.1.18(a)); Stable uses the Isolated USDT variant (§1.1.18(b)). Fee tiering is documented in Exhibit 1 of the Asset Management Agreement.

By risk tier: $50,000 for High, $100,000 for Medium, $150,000 for Conservative. The same scale applies to both Stable and Diversified. Lower-risk tiers carry a higher minimum because the firm's per-account operating overhead does not scale linearly with leverage; a larger nominal account is required at lower leverage to keep the engagement economically viable. You may change your risk tier at any quarter-end — the strategy logic is identical across tiers, only leverage and the drawdown ceiling scale. A minimum one-year horizon is recommended; there is no lock-in.

Five business days' notice is required. Partial redemptions are supported. If a redemption falls mid-quarter, a pro-rata performance fee is calculated for the period during which Algotoria actively managed the account, using the same rolling HWM methodology. During severe market stress with large simultaneous withdrawals, the algorithm is programmed to prioritise the liquidation of the most liquid instruments and to scale down portfolio leverage so the outflow is absorbed without generating outsized slippage.

A monthly investor report covering: rolling Calmar ratio, drawdown profile, exposure composition, strategy-level attribution, realised correlations, fees accrued, and net-of-fee return. Quarterly performance-fee statements accompany billing. The Algotoria Telegram bot (@AlgotoriaBot) is the firm's client-facing monitoring interface — on-demand account overview, PnL charts over 24h / 7d / 30d / 90d / 1y / all-time, quarterly reports showing PnL / HWM / fee calculations, multi-account switching for clients with more than one SMA, configurable daily / weekly / monthly notifications, and shareable read-only links for a compliance officer or co-investor. Access is granted per account by your relationship manager. The bot is read-only; it does not execute trades.

Calmar measures return per unit of worst-case drawdown — and the ability to stay allocated through the worst drawdown is the variable that determines realised client outcomes. Sharpe penalises all volatility symmetrically, but upside volatility is not a loss; we report Sharpe too, but Calmar carries the headline. The benchmark set is Bitcoin (BTC-USDT spot, OKX), BITA Crypto 10 (market-cap-weighted top-10 cryptocurrency index, published by BITA GmbH), Gold (PAXG-USDT) and S&P 500 (SPY-USDT-SWAP perpetual on OKX). Bitcoin and BITA C10 represent passive crypto allocations; Gold and S&P 500 give traditional-asset context for investors diversifying across asset classes. Risk-free rate is FRED GS3M.