How the LowMoney bot returned +36.01% on BTCFDUSD - a 367-day 2024 backtest

The LowMoney configuration produced a 36.01% return on BTCFDUSD in the tested window. This is a positive single-window result; a like-for-like comparison against buy-and-hold of BTCFDUSD over the same dates is required to judge whether the strategy added value beyond the underlying price move.

About BTCFDUSD: Bitcoin is the highest-cap and least volatile of the major crypto pairs. Backtests on BTC tend to produce smoother equity curves but also lower percentage returns than altcoins — the trade-off is reduced tail risk.

An 100.0% closed-trade win rate across 46,195 closed trades on BTCFDUSD is unusually high. Strategies that win this often typically use small take-profits relative to stop-losses, which works until a single large adverse BTCFDUSD move erases many small wins. This figure covers closed trades only and **excludes 220 orders** that were still open at the end of the window.

At roughly 125.9 BTCFDUSD 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: 0.0315 USDT. Worst: 0.0173 USDT. Average per trade: 0.0225 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 1.82:1. **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 LowMoney strategy: LowMoney is calibrated for small starting balances — smaller position sizes, tighter risk controls, fewer parallel orders.

Configuration analysis: The LowMoney configuration entered on a 0.1% pullback signal, spreading 20 USDT across 2 buy splits weighted by the configured buy volumes. That 20.00 USDT is the depth of a single buy ladder, not an account-level budget: 0.40% of the 5000 USDT starting balance. The grid opens a new ladder on every trigger and runs many of them at once, with 220 positions still open at the cutoff, so the capital actually tied up at any moment is a multiple of it. Read real utilisation off the "Base Exposure (% of Portfolio)" chart on this page, never off this number. 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 2 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. A 7.5 bps maker and 7.5 bps taker fee were charged on the corresponding fills, so a completed round trip carries about 15 bps and the headline 36.01% is already net of trading costs. No additional fee adjustment is required when comparing to other runs.

Over the configured 367-day window the strategy reported 1041.14 USDT of realised trade profit on a 5000 USDT starting balance, ending at a portfolio value of 6800.61 USDT. Mechanically annualising the 36.01% window return projects to roughly +35.8% 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: 1.3 days - multi-day holds that ride full BTCFDUSD trend legs and absorb overnight funding-style risk. This cadence is a direct consequence of the LowMoney exit ladder interacting with realised BTCFDUSD volatility over 367 days - a slower or faster market would shift the same rule set into a different bucket.

Realised vs unrealised split: The +1800.61 USDT change in portfolio value decomposes into 1041.14 USDT of realised trade profit and +759.47 USDT of mark-to-market on 220 positions still open at the cutoff. Roughly 42% of the headline is therefore an unrealised paper gain - 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: This run paid 748.66 USDT in fees at the configured 15 bps round trip and still realised 1041.14 USDT across 46,195 closed trades. Scaling the same turnover up, costs would have swallowed the entire realised profit at roughly 35.9 bps per round trip, about 2.4x the simulated rate. Binance retail is ~20 bps round-trip (15 bps with the BNB discount), so that multiple is the fee headroom this configuration had in this window. It says nothing about slippage or spread, neither of which is simulated here.

Drawdown recovery ratio: Against a peak equity-curve drawdown of 12.76%, the 36.01% window return yields a pain-to-gain ratio of 2.82x - the run generated more return than drawdown, which is the minimum bar for an operator to sit through the equity dip without abandoning the strategy. 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 +2.84 USDT/day, +19.86 USDT/week and +86.35 USDT/month across the 367-day BTCFDUSD 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.