OneQAZ OneQAZ

track-record / all-time 한국어

All-time Track Record paper trading

Everything since public publication began (2026-06-16) — aggregated from the same ledger as the daily journals, losses included, shown as-is.

61days operating
99,567closed trades
37%win rate
0.75profit factor

Equity curves (synthetic fixed book · 2026-06-16 = 100)

Crypto OneQAZ 71.42 BTC 90.41 paper
101 70

MDD -28.76% · current drawdown -28.58% · longest underwater 61d · 2026-06-16 ~ 2026-08-15

Korea (KR) OneQAZ 94.44 benchmark withheld — data-quality issue under review paper
101 89

MDD -10.55% · current drawdown -5.78% · longest underwater 42d · 2026-06-16 ~ 2026-08-14

US OneQAZ 94.76 SPY (S&P500 proxy) 103.47 paper
105 93

MDD -5.78% · current drawdown -5.24% · longest underwater 48d · 2026-06-16 ~ 2026-08-15

Monthly returns (%)

MonthCryptoKorea (KR)US
OneQAZbenchmarkOneQAZbenchmarkOneQAZbenchmark
2026-06 -14.35 -9.46-2.47 -3.71 -0.47
2026-07 -13.62 +0.71-6.9 -2.14 +0.03
2026-08 -3.47 -0.85+4 +0.57 +3.92

Equity-curve metrics

MarketCumulativeMDDSharpeSortinoCalmar
Crypto -28.58% -28.76% -15.55-12.17-3.01
Korea (KR) -5.56% -10.55% -2.12-2.96-2.7
US -5.24% -5.78% -6.46-6.32-4.26

Source: OneQAZ MCP get_performance_metrics — this table and an MCP re-query return the same values (single computation path). Sharpe/Sortino annualized at 365 days.

Trade statistics by market

MarketClosedWin ratePFAvg/tradeBestWorst
Crypto67,36739% 0.71-0.278% +97.12%-36.96%
Korea (KR)17,44836.2% 0.90-0.119% +30.4%-30.09%
US14,75228.8% 0.73-0.15% +25.81%-49.91%

Window: 2026-06-16 ~ 2026-08-15 · refreshed 2026-08-15T08:00:31+00:00 (recomputed every publish cycle)

The capital model — how these curves are computed

The paper engine trades without a real capital pool, so equity is computed with a synthetic fixed-book model: a 400-slot book per market, daily return = Σ(closed-trade P&L% × sizing multiplier) ÷ 400, compounded daily from 2026-06-16 = 100. 400 is the smallest round number such that concurrent exposure never exceeded 100% of the book in the public period (measured peak exposure 323–371 slots); average utilization is 31–50%, so cash drag from idle slots is honestly included. Full definition: methodology.

Boundaries — what is counted, and what is not

Verify it yourself

These numbers come from the same ledger as the daily journals. Connect OneQAZ MCP to an AI and query the same data directly — e.g. get_trade_history (closed trades), get_performance_metrics (MDD, Sharpe and other curve metrics), get_ledger_integrity (daily SHA-256 hash chain — detects post-hoc edits). Each daily journal also links a full CSV of its window.


Disclaimer: OneQAZ figures are paper-trading research, not investment advice. Past simulated performance does not predict future real-money returns.