Backtest-Based Projections

Growth Calculator

Project potential returns based on actual backtest performance data. Two scenarios are calculated — one from the full 6-month backtest and one from the 2-month high-quality tick data period.

Scenario A

Full Period Baseline

Sept 2025 — Feb 2026 (6 months)  •  32% tick quality
43.4%
Monthly compound rate at 0.1 lots / $100K
$1,000 → $8,700 PF: 1.51 Win Rate: 80% Max DD: 11.90%
Sept–Oct Trending Nov–Dec Ranging Jan Trending Feb Choppy
Scenario B

High-Quality Period Baseline

Jan 2026 — Feb 2026 (2 months)  •  100% tick quality
62.4%
Monthly compound rate at 0.1 lots / $100K
$1,000 → $2,638 PF: 1.24 Win Rate: 76% Max DD: 20.99%
Jan–Feb Ranging / Choppy

Parameters

Quick Scenarios
Baseline backtest used 0.1 lots per $100K. Returns scale proportionally.
Broker lot size cap. Growth slows once this cap is reached.
Withdrawals only begin once monthly gains can sustain this amount, ensuring the account continues to grow.

Enter your parameters and click Calculate to see projections.

HYPOTHETICAL PROJECTION DISCLAIMER: These projections are based on historical backtest data and are purely hypothetical. The monthly return rates are derived from backtesting on a low-spread ECN account with specific conditions that may not be replicable. Past performance does not guarantee future results. Actual returns will vary significantly — monthly performance is never constant. Trading Gold (XAUUSD) with leverage carries substantial risk of loss. You could lose more than your initial investment. This tool is for educational purposes only and does not constitute financial advice. The linear scaling of returns with lot size is an approximation — actual performance may differ. Always consult a qualified financial advisor before making trading decisions.

Backtest vs Live: Real-World Considerations

The projections above are derived from backtests. Live trading introduces real-world factors that typically reduce the effective Profit Factor. Here is what to expect:

⏱
Execution Latency & Slippage

Backtests assume near-instant fills. In live trading, order execution takes time (especially on a VPS far from the broker). During fast-moving Gold markets, slippage can result in worse entry/exit prices than the backtest assumed.

📉
Spread Widening

Backtests use the spread recorded in tick data, but live spreads widen during news events, low-liquidity hours (rollover, weekends open), and volatile sessions. Wider spreads reduce profitability on each grid cycle.

🔄
Swap & Overnight Costs

Backtesting typically ignores swap fees. Holding Gold positions overnight incurs daily swap charges that accumulate over time, especially with multiple grid positions open simultaneously.

⚠
Requotes & Rejections

Brokers may requote or reject orders during high volatility. The backtest assumes every order is filled, but in live conditions some entries or exits may be missed or filled at a different price.

🌐
Broker Infrastructure

Server downtime, connection drops, and platform restarts can leave positions unmanaged. A VPS close to your broker’s servers significantly reduces (but does not eliminate) these risks.

📊
Tick Data Quality

The full 6-month period uses 32% tick quality — meaning approximately two-thirds of price ticks are interpolated. The 2-month high-quality period (100% real ticks) shows a lower Profit Factor (1.24 vs 1.51), which is likely more representative of live conditions.

Bottom line: Expect real-world performance to fall below backtest results. The high-quality 2-month period (PF 1.24, 21% DD) is a more realistic baseline for setting expectations than the full 6-month period. We strongly recommend running on a demo account first, then starting live with a small balance to validate performance under your specific broker conditions.