Classic Family
One signal, two strategies. Algotoria Classic is the battle-tested family: a real-money record through different market conditions, and the larger capacity. Algotoria Classic Diversified and Algotoria Classic Stable run on the same algorithmic engine: Diversified extends the collateral base, Stable simplifies it. Actual trading results since 1 January 2024, time-weighted in USDT, shown gross or net of the performance fee, against Bitcoin, BITA Crypto 10, Gold and the S&P 500. Accounts can be verified on TradeLink or with read-only exchange API keys on request.
- Battle-tested through different market conditions, including the January–February 2026 stress window
- Real-money track record since October 2023 (3 years)
- Drawdown budget never breached on the real-money track, gross of fees*
- Exceptional CAGR: +127% (Classic Diversified) and +80% (Classic Stable) since inception (gross)
- Larger capacity (about 150 million USD)
* On modelled after-fee bases, Classic Stable’s adjusted maximum drawdown reached −31.3% against its 30% budget.
Logarithmic y-axis: equal vertical distances are equal percentage moves. Daily closes, rebased to 0.00% on 1 January 2024.
| Parameter | Classic Diversified RECOMMENDED | Classic Stable |
|---|---|---|
| CollateralCollateralWhat the account holds as margin for its futures trades. Both strategies run on the same algorithmic engine; the collateral is what sets them apart.Classic Stable holds dollar-pegged stablecoins only, so its value moves least. Classic Diversified adds Bitcoin and tokenised real-world assets, managed by Algotoria: the collateral is spread across more issuers and asset types and is not tied to the US dollar alone, at the cost of larger swings. | Broader diversification BTC, approved stables and RWAs (managed by Algotoria) Bitcoin and tokenised real-world assets beside the stablecoins spread the collateral across issuers and asset types and hedge against US-dollar debasement. | Lower volatility Approved stablecoins, including USDT, USDC, RLUSD, OKUSD and USDGStablecoins other than USDTTo open USDT-margined perpetual positions, the account may borrow USDT against stablecoins other than USDT, and the borrowed USDT accrues interest at the exchange’s rate, borne by the account. Yield-bearing stablecoins (RLUSD, OKUSD, USDG) typically earn more than this cost, offsetting it and adding to returns. USDT collateral carries no such cost. Dollar-pegged collateral only, so the account carries no Bitcoin price exposure and its value moves less. |
| Inception (live track) | 1 October 2023 | 1 January 2024 |
| Longest drawdown, daysLongest drawdownThe longest stretch, in calendar days, from the day the real-money track first fell below its adjusted peak to the day it regained it. A stretch still open on the as-of date is counted to that date. | 155 | 214 |
| Ulcer indexUlcer indexRoot-mean-square of the daily adjusted drawdown, in percentage points. Unlike maximum drawdown it counts both how deep and how long the account stays under water; lower is better. | 10.08 | 9.64 |
| Adjusted max drawdownAdjusted max drawdownAlgotoria’s adjusted definition, on daily values: a new high counts only at the lower of that day’s and the next day’s value, so a transient one-day high does not inflate the reference peak.Figures are gross; net drawdowns are larger by construction. | −31.2% | −24.8% |
| Raw max drawdownRaw max drawdownThe deepest fall below the running peak on daily closes, with no adjustment at either end. | −31.6% | −24.8% |
| Actual Calmar ratioCalmar ratioCAGR divided by the adjusted maximum drawdown over the same period. It measures return per unit of drawdown risk; higher is better. | 4.06 | 3.21 |
| Target Calmar ratio | 3.5 | 3.0 |
| Actual gross CAGRCAGRCompound annual growth rate of the real-money reference account since its inception, time-weighted in USDT and before Algotoria’s performance fee. | +127% | +80% |
| Target gross CAGR | 120% at 35% drawdown budget | 90% at 30% drawdown budget |
| Positive monthsPositive monthsCalendar months that closed with a gain, out of all months since inception. | 21 / 36 | 20 / 33 |
| Risk tiers (max drawdown)Risk tiersThe three drawdown budgets an investor can select at onboarding. A budget is a monitored ceiling, not an automatic stop: at two-thirds of it the Investment Committee reviews the account, and at the full budget the client elects to continue, lower the budget or stop.The budget is not a guarantee and can be exceeded. | 15% / 25% / 35% | 10% / 20% / 30% |
| Explore Classic Diversified | Explore Classic Stable |
Signal generation
Both strategies are driven by a single, fully automated engine: a risk-parity portfolio of non-correlated sub-strategies traded across up to 40 of the most liquid cryptocurrency perpetual futures. 66% of capital is allocated to mid-frequency trend-following systems and 34% to counter-trend mean-reversion — a split the Investment Committee resets each quarter within a 50–100% / 0–50% range — operating on the 5-minute, 15-minute, 1-hour and 4-hour timeframes — deliberately above high-frequency intervals to preserve execution quality and strategy capacity. The blended book executes roughly 50 trades per day at an average holding period near three to four days, and the portfolio is optimised to maximise the Calmar ratio rather than raw return. Leverage is scaled inversely to prevailing volatility and hard-capped at 3×.
Entry signals
Long and short positions are initiated by a confluence of technical and statistical signals that monitor price action continuously: N-period maximum / minimum price discovery for breakout identification, Parabolic SAR for momentum-shift detection, simple moving averages for baseline trend direction, price-channel metrics that flag volatility contraction ahead of a directional move, and standard-deviation and proprietary volatility measures that gate engagement. The systems seek the early stages of a sustained directional move and ride the resulting momentum.
Exit signals
Exits are equally systematised and prioritise capital preservation: dynamic trailing stop-losses that ratchet with a favourable trend, fixed hard-coded stop-losses to cap catastrophic drawdowns, take-profit limit orders set on statistical probability, mean-reversion triggers on excessive deviation, time-stop closures when expected momentum fails to materialise, and immediate closure on an inverse directional signal.
Strategy footprint & capital split
Position concentration — cap at 3× leverage
BTC ≤ 150% · ETH ≤ 150% · any single altcoin ≤ 30% · the non-BTC/ETH basket ≤ 90% in aggregate, each measured against portfolio Net Market Value and scaling proportionally with the account’s selected drawdown budget.
Traded instruments
The mandate permits up to 40 USDT-margined perpetual futures. The active book is currently eleven: BTC, ETH, SOL, XRP and BCH as single-name legs, plus a ten-constituent altcoin basket sleeve (ADA, AVAX, BNB, BTC, DOGE, ETH, LINK, SOL, TRX, XRP) traded infrequently and by counter-trend strategies only.
Investment Committee range by market regime — trend-following 50–100%, counter-trend 0–50%.
Reviewed quarterly by the Investment Committee: the risk budget, the strategy roster (systems added or retired to enhance the Calmar ratio and minimise inter-strategy correlation), the risk-parity weights, the trend / counter-trend balance and the traded universe.
Methodology
Returns are computed as daily time-weighted returns with compounding from the unrealised margin balance of each strategy’s reference portfolio, denominated in USDT and rebased to 0.00% on 1 January 2024. The chart and the headline drawdown / Calmar figures are gross of performance fees and inclusive of exchange trading costs; the matching net-of-fee figures are published per strategy, in the Returns and Risk & Return tables on the Algotoria Classic Diversified and Algotoria Classic Stable pages and in the monthly factsheets. Benchmarks: Bitcoin (BTC-USDT spot, OKX), BITA Crypto 10 (market-cap-weighted top-10 cryptocurrency index, BITA GmbH), Gold (PAXG-USDT spot, OKX), S&P 500 (SPY-USDT-SWAP perpetual on OKX). Risk-free rate: FRED GS3M. The Algotoria return series is sourced from the proprietary Algotoria Monitoring System — hourly exports from the firm’s own production trading infrastructure — and is refreshed monthly; benchmark data comes from the respective public sources. Accounts can be verified on TradeLink or with read-only exchange API keys on request. Since the report as of 31 July 2026 the Algotoria series has been derived from this hourly feed rather than the third-party export used previously: total return, CAGR and drawdown are substantially unchanged, but volatility is lower and Sharpe correspondingly higher, so risk metrics published before that date are not directly comparable.
Adjusted drawdown
Drawdown figures on this page use the peak-smoothed definition: the value path is first smoothed by a one-day look-ahead minimum (smoothed[t] = min(V[t], V[t+1])); the adjusted peak is the running maximum of the smoothed series; reported drawdown is V[t] / adj_peak[t] − 1. This filters transient one-day highs that would otherwise inflate the reference peak. The same algorithm is applied uniformly across every benchmark so cross-asset comparisons are like-for-like.
Basis. All drawdown figures, the agreed drawdown budget, and the live risk monitoring engine operate 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.
Drawdowns are a feature, not a bug
Typical annual drawdowns run 20–25%; historical back-tests reached 30%. All drawdown figures and the agreed drawdown budget are measured on the gross trading-account return curve, before deduction of Algotoria’s quarterly performance fee. Do not allocate capital you cannot afford to see marked down by one-third at some point.
Crypto is a leveraged risk-on asset
Despite ETF adoption, Bitcoin’s daily volatility is three to four times that of the S&P 500. The asset class remains regime-dependent.
Past performance is not a promise
Live data shown here is historical. Future results will differ from history, often materially. Read the full Risk Notice before allocating.