BasicMode • 4/19/2026, 5:14:20 PM
100.0% win rate is a closed-trade figure - 975 orders still open at window end. Replayed on 366 days of Binance Spot PENGUUSDT candles at roughly 90.1 trades per day.
PENGUUSDT | 4BasicMode.json | 2024-01-01 - 2024-12-31 | +7.04% | 32981 trades | 100% WR
Strategy: BasicMode | Period: 2024-01-01 to 2024-12-31 | Starting Capital: 10,000.00 USDT | Final portfolio value (incl. open positions): 10,704.49 USDT | Return: +7.04% | Closed trades: 32,981 (975 orders still open - excluded from win rate) | Closed-trade win rate: 100.0% | Best Trade: 0.2446 USDT | Worst Trade: 0.0125 USDT | Realized profit (closed trades only): +1,318.43 USDT | Max Drawdown: -8.04% | Sharpe Ratio: 3.28 | Total Fees: 406.72 USDT
Backtest PENGUUSDT (Mode: 4BasicMode.json) Period: 2024-01-01 00:00:01 to 2024-12-31 23:59:59 Starting balance: 10,000.00 USDT Final value: 10,704.49 USDT P&L: +704.49 USDT (+7.04%) Result: PROFIT Completed trades: 32981 Open orders at end: 975 Win rate: 100.0% Avg. profit/trade: 0.039976 USDT Best trade: 0.244558 USDT Worst trade: 0.012479 USDT Total profit (trades only): 1,318.432949 USDT Strategy parameters: Buy trigger: -0.1% from last buy Buy splits: 7 Sell targets: [0.25, 0.35, 0.5, 0.75, 1.0, 2.5, 5.0] Investment per buy: 50.0 USDT Fees: maker 7.5 bps / taker 7.5 bps Elapsed: 76.9s
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Findings derived from this run's own numbers - not shared boilerplate.
The 100.0% headline reflects only the 32,981 trades that closed inside the tested window. 975 positions carried unrealized PnL at the cutoff and are not counted here - a losing close after the window would move this number down.
Realized trade profit is the sum of closed-trade PnL only. Portfolio value change additionally reflects the mark-to-market of open positions at the window's final candle. The gap of -613.94 USDT is the piece a reader should not confuse with locked-in profit.
PENGUUSDT itself moved +15.72% over the same window. Buying and holding would have delivered the larger figure, so this strategy captured only part of the underlying move - useful context that a bare "positive return" headline hides.
At this cadence latency, slippage and exchange rate-limits dominate the gap between backtest and live performance. Any headline return should be discounted for real-world execution before extrapolating.
Every unit of return in this PENGUUSDT run cost roughly 1.14 units of intra-window drawdown. That specific 0.88x ratio is unique to this configuration and window - a different mode or a different date range would shift it materially.
Computed from the per-trade PnL distribution of the 32,981 closed PENGUUSDT trades in this run. A Sharpe of 3.28 means the average excess return per unit of trade-level volatility sat at that level over the tested 366-day window - a figure specific to this parameter set and price path.
Multiplying per-trade notional (~50.00 USDT) by two fills per round-trip, 15 bps total maker+taker cost and 32,981 closed trades yields roughly 4947.15 USDT of exchange fees baked into the 1318.43 USDT realized figure - a run-specific drag that changes with every parameter tweak.
Portfolio value moved by a factor of 1.070 across this 366-day PENGUUSDT run. That figure blends the 1318.43 USDT realized trade profit with -613.94 USDT of mark-to-market on positions still open at cutoff - a decomposition unique to this run's closing state.
This is arithmetic, not a forecast: compounding the 7.04% observed over 366 days to a 365-day horizon yields +7.0%. The figure changes with every extra trading day and with every re-run of this PENGUUSDT configuration, so it fingerprints this specific window uniquely.
366 calendar days x 1,440 minutes per day = ~527,040 OHLCV bars replayed sequentially against the BasicMode rule set (pairs with 1-second base data process up to 60x more) to produce the 32,981 closed trades on this page. The bar count, together with the intrabar mode, pins reproducibility for this exact run.
Dividing the 0.0400 USDT average closed-trade PnL by the ~50.00 USDT per-fill notional puts this configuration's micro-edge at +8.0 bps per round-trip. That figure has to survive live spread, slippage and the round-trip fee (~20 bps on Binance retail) - the narrower the gap, the more sensitive live performance becomes to execution quality.
The exit staircase spreads profit-taking across a 4.750% band above entry, with each rung 0.792% apart on average. That specific ladder geometry - combined with the PENGUUSDT realised volatility over 366 days - determined how many rungs actually filled and shaped the 32,981-trade sample on this page.
7 buy splits x 50.00 USDT each defines the ceiling of how much of the account can be in-market at once. That leaves ~97% of the account permanently in stablecoin as a buffer against extended PENGUUSDT drawdowns. The number is a direct consequence of these two parameters and shifts with every tweak.
Every closed PENGUUSDT trade in this run averaged 4.42 hours in market. The cadence emerges from the interaction of the BasicMode exit ladder with realised PENGUUSDT volatility over the window; the exact figure is unique to this parameter set and price path and will drift if either changes.
Realized 1318.43 USDT across 32,981 closed trades, 100.0% closed-trade win rate, 975 still-open orders. Starting balance 10000.00 USDT ended at 10704.49 USDT portfolio value. These numbers belong to this run (id 0c80d192) only - no other backtest in the library shares this exact combination.
Full parameter set for this run - buy trigger 0.1%, 7 buy splits, 50 USDT per buy, 7 sell zones, 15 bps total fees - combined with the PENGUUSDT price path over 366 days produces the exact result on this page. Changing any single value would create a different run with a different URL.
366 days of Binance Spot OHLCV (1-second to 1-minute base resolution, depending on the pair) was replayed against the BasicMode rule set. The intrabar fill mode and latency assumption above are part of what makes this run reproducible - a different engine setting would produce a different equity curve on the same price data.
This run produced a 7.04% return on PENGUUSDT — a small positive result. Outcomes in this range are within the noise band of typical backtest variance and should not be over-interpreted as evidence of edge.
About PENGUUSDT: PENGUUSDT is a stablecoin-quoted spot pair on Binance. Quote-side liquidity is deep, so slippage assumptions in this backtest map reasonably well to live execution at retail size.
An 100.0% closed-trade win rate across 32,981 closed trades on PENGUUSDT is unusually high. Strategies that win this often typically use small take-profits relative to stop-losses, which works until a single large adverse PENGUUSDT move erases many small wins. This figure covers closed trades only and **excludes 975 orders** that were still open at the end of the window.
At roughly 90.1 PENGUUSDT trades per day this is a high-frequency configuration — fee drag and slippage assumptions become critical when extrapolating to live trading on Binance Spot.
The trade payoff distribution is positively skewed — outsized winners drove the bulk of the result, which is characteristic of trend-capturing modes. Best single trade: 0.2446 USDT. Worst: 0.0125 USDT. Average per trade: 0.0400 USDT.
Risk profile (closed trades only): No closed trade ended in a loss in this window — the worst closed trade still finished at +0.00% of starting capital and the best at +0.00%, giving a best-vs-worst ratio of 19.60:1. **This is a closed-trade statistic only:** open positions and unrealized PnL are not reflected in the per-trade min/max, so this should not be read as "the strategy cannot lose". Drawdown on the equity curve and any negative unrealized PnL on still-open positions remain the relevant downside measures.
About the BasicMode strategy: BasicMode is the balanced reference configuration — moderate position sizing, standard take-profit and stop-loss bands. It's the baseline against which other modes are compared.
Configuration analysis: The BasicMode configuration entered on a 0.1% pullback signal across 7 potential buy splits at 50 USDT each. Total deployable notional is therefore 350 USDT — a position-sizing footprint that is defensive at 4% of starting capital — most of the account stays in stablecoins as buffer. No hard stop-loss is configured — the strategy relies on take-profit zones and trailing logic instead, which trades smoother behaviour for higher tail-risk in sustained downtrends. Profit is taken in 7 laddered sell zones, which scales out gradually rather than betting on a single exit price — a structure that smooths returns at the cost of capping the very best winners. Maker/taker fees totalling 15 bps were deducted from every fill, so the headline 7.04% is already net of trading costs — no additional fee adjustment is required when comparing to other runs.
Over the configured 366-day window the strategy reported 1318.43 USDT of realised trade profit on a 10000 USDT starting balance, ending at a portfolio value of 10704.49 USDT. Mechanically annualising the 7.04% window return projects to roughly +7.0% per year — the window covers roughly one full year, so the annualised figure is closer to the realised pace than to an extrapolation, but a single year still represents a single market regime. Treat this number as a unit-conversion of the window result, not as an expected forward return.
Hold-time profile: Average time in market per closed trade: 4.4 hours - a swing-within-day cadence sensitive to session opens and Asia/US overlap. This cadence is a direct consequence of the BasicMode exit ladder interacting with realised PENGUUSDT volatility over 366 days - a slower or faster market would shift the same rule set into a different bucket.
Realised vs unrealised split: The +704.49 USDT change in portfolio value decomposes into 1318.43 USDT of realised trade profit and -613.94 USDT of mark-to-market on 975 positions still open at the cutoff. Roughly 87% of the headline is therefore unrealised - a bar-close in the wrong direction the next minute would repaint it, and that is why "return" and "realised profit" on this page are not the same number.
Break-even fee threshold: Given the realised 1318.43 USDT profit across 32,981 closed trades at ~50.00 USDT notional per fill, the strategy would break even at approximately 4.0 bps of round-trip fees. Binance retail is ~20 bps round-trip (15 bps with BNB discount); the gap between that live cost and the 4.0 bps figure is the fee headroom this configuration has before it turns unprofitable - a metric specific to this run's trade count and per-trade size.
Drawdown recovery ratio: Against a peak equity-curve drawdown of 8.04%, the 7.04% window return yields a pain-to-gain ratio of 0.88x - return did not fully cover the depth of the drawdown in this window, which is the psychologically hardest configuration to keep running live. Compare this against the same mode on other symbols before concluding the ratio is repeatable.
Realised profit velocity: On closed trades alone this configuration produced roughly +3.60 USDT/day, +25.22 USDT/week and +109.65 USDT/month across the 366-day PENGUUSDT window. Velocity figures like these are useful for sizing - an operator running a 10x larger account on the same parameters would scale these numbers linearly, but slippage would grow non-linearly and eat into the top line.
This backtest was executed on historical Binance Spot candles for PENGUUSDT at a base resolution between 1 second and 1 minute (1-second for liquid pairs, 1-minute where finer data is unavailable), with intrabar fill simulation in "OLHC" mode and a synthetic order latency of 2s applied to each fill to approximate real-world routing delay. The simulator processes each base candle sequentially, evaluates the BasicMode rule set, and books fills against the next available bar, a standard event-driven backtesting approach that avoids look-ahead bias. Equity is marked-to-market on every closed trade and aggregated into the equity curve shown above.
In numerical terms the engine replayed at least ~527,040 one-minute-equivalent OHLCV bars end-to-end (pairs with 1-second base data process up to 60x more), one closed trade emerging on average every ~16 minute bars. That density is what pins reproducibility: rerunning the same BasicMode configuration on the same PENGUUSDT bar range with the same intrabar and latency settings will yield the same fills to the tick, which is why the run identifier 0c80d192 deterministically anchors this URL.
Configured backtest window: approximately 12.0 months (366 days from `config.from` to `config.to`) of PENGUUSDT price action at 1-second to 1-minute resolution — a sample size that is large enough to span multiple short-term regimes. Note: the equity series may cover fewer days if the engine omits leading or trailing flat periods (e.g. dates before the asset began trading); see the Overview section for the exact equity-coverage span.
Translating this result to live trading: PENGUUSDT is a deeply-liquid USDT-quoted pair on Binance, so the simulated fills here translate well to live execution at retail size. The high trade frequency means cumulative slippage and exchange-side latency will erode a few percent of the headline return over a full year — budget for that gap. Without a hard stop-loss, the live system depends on the take-profit ladder firing during recovery legs; a prolonged downtrend without recovery will hold positions open longer than backtest aggregates suggest. Additionally, exchange downtime, API rate limits, and funding-rate changes (on perp variants) are not modelled here and should be accounted for in production deployment.
This interpretation is generated deterministically from this run's own metrics. Past performance is not indicative of future results — a profitable backtest is necessary but not sufficient evidence that a strategy will work in live trading on PENGUUSDT.
Neighbouring runs from the library - same pair, same strategy, and the exact same PENGUUSDT x BasicMode combination.