XRPUSDT

CompletedLoses to XRPUSDT B&H· α -0.79%

BasicMode5/16/2026, 12:44:38 PM

XRPUSDT | 4BasicMode.json | 2026-02-01 - 2026-05-14 | -7.40% | 24728 trades | 92% WR

Final Value
4618.04 USDT
Return
-7.40%
Profit
-354.87 USDT
Trades
24728
Win Rate
92.4%
Open Orders
77
Best Trade
+0.024005 USDT
Worst Trade
-0.365036 USDT
Max Drawdown
-7.63%
Profit Factor
0.46
Sharpe
-4.00
Wins / Losses
22856 / 1872
TP / SL / TSL
22856 / 1872 / 0
Total Fees
250.27 USDT
Max Streak W/L
1824 / 36
Hold P50 / P95
31m / 1.3d

XRPUSDT Backtest – unCoded Crypto TradingBot

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

Strategy Configuration – BasicMode
Buy Trigger: -0.1%
Buy Splits: 3
Investment/Buy: 20 USDT
Start Balance: 4,987.00 USDT
Can Buy Up: Yes
Can Buy Down: No
Stop Loss: Yes (5.1%)
Maker Fee: 7.5 bps
Taker Fee: 7.5 bps
Sell Zones (3):
+0.25% → 34%+0.35% → 33%+0.5% → 33%

Performance Analysis

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.

Methodology & data

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.

Live trading considerations

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.

Frequently asked questions

Is a -7.40% return on XRPUSDT a good backtest result?
No -- a negative return means the strategy lost capital and the configuration was unsuitable for this market regime.
What does the 92.4% win rate mean here?
It means 92.4 out of every 100 closed trades ended profitable. Frequent wins are emotionally easier to operate but say nothing about size -- one large loss can offset many small wins.
What is the annualised return for this XRPUSDT backtest?
Compounding the -7.40% over 102 days projects to -24.0% per year. This is a directional indicator only -- crypto regimes change, and strategies rarely sustain peak performance year-over-year.
Can I run this exact BasicMode configuration live?
The configuration shown in the Strategy Configuration block is the same JSON the live unCoded TradingBot consumes, so it is directly deployable. Before going live, validate the run on a paper-trading window, confirm exchange-side fees match the simulated 7.5/7.5 bps, and start with a position size below the backtested capital to absorb live slippage.
How is this backtest different from others on XRPUSDT?
Every run on the platform uses the same intrabar-fill engine and historical Binance Spot data, so the comparison is apples-to-apples. What differs between runs is the BasicMode parameter set (buy trigger, sell zones, splits, stop-loss) and the time window -- both are visible above so you can rerun, tune, or fork this configuration.

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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