BasicMode • 5/16/2026, 12:44:38 PM
XRPUSDT | 4BasicMode.json | 2026-02-01 - 2026-05-14 | -7.40% | 24728 trades | 92% WR
Strategy: BasicMode | Period: 2026-02-01 to 2026-05-14 | Starting Capital: 4,987.00 USDT | Final Value: 4,618.04 USDT | Return: -7.40% | Trades: 24,728 | Win Rate: 92.4% | Best Trade: 0.0240 USDT | Worst Trade: -0.3650 USDT | Total Profit: -354.87 USDT | Max Drawdown: -7.63% | Profit Factor: 0.46 | Sharpe Ratio: -4.00 | Total Fees: 250.27 USDT
The -7.40% result on XRPUSDT is underwhelming -- the strategy lost a small portion of capital. This typically happens when the BasicMode mode's assumptions (volatility regime, trend direction, grid spacing) don't match the actual XRPUSDT market conditions during the test period.
About XRPUSDT: XRP exhibits long quiet ranges punctuated by sudden vertical moves driven by news flow. This regime rewards range-bound strategies most of the time but can punish them during breakouts.
An 92.4% win rate across 24,728 trades on XRPUSDT is unusually high. Strategies that win this often typically use small take-profits relative to stop-losses, which works until a single large adverse XRPUSDT move erases many small wins.
At roughly 242.4 XRPUSDT 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 negatively skewed -- a few large losers dragged on the otherwise consistent profile, a known weakness when volatility spikes. Best single trade: 0.0240 USDT. Worst: -0.3650 USDT. Average per trade: -0.0144 USDT.
Risk profile: Per-trade exposure was minimal -- the worst trade only cost 0.01% of starting capital. That low-risk-per-trade footprint is the signature of a tightly-sized configuration; expect smoother equity curves but also slower compounding in strong trend regimes. Best single trade contributed +0.00% to the account, giving a single-trade reward-to-risk ratio of roughly 0.07:1 between the extreme outliers.
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 3 potential buy splits at 20 USDT each. Total deployable notional is therefore 60 USDT -- a position-sizing footprint that is defensive at 1% of starting capital -- most of the account stays in stablecoins as buffer. A hard stop-loss at 5.1% caps downside per position; this is what gives the equity curve its lower bound. Profit is taken in 3 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 -7.40% is already net of trading costs -- no additional fee adjustment is required when comparing to other runs.
Over the 102-day test window the strategy generated -354.87 USDT of profit on a 4987 USDT starting balance, growing the account to 4618.04 USDT. Annualised, the -7.40% return over 102 days projects to roughly -24.0% per year -- a pace that would erode capital over time if extrapolated. Crypto market regimes shift quickly, so this projection should be treated as a directional indicator rather than a forecast.
This backtest was executed on historical Binance Spot 1-minute candles for XRPUSDT, 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 every minute 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.
Test window covers approximately 3.4 months of XRPUSDT 1-minute price action -- a sample size that is useful for spotting near-term edge but limited for regime-cycle conclusions.
Translating this result to live trading: XRPUSDT 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. The configured 5.1% stop-loss should fire predictably in live conditions for liquid pairs, but during exchange outages or order-book gaps the realised stop can slip several percent past the trigger price -- a risk to size around. 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 XRPUSDT.
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