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Backtesting Liquidity Sweeps: Method And Results |

Renan FilhoWritten by , Technology & AI specialist. Expiry dates and activation fees are always visible.

Quick Answer: Backtesting liquidity sweeps is a specific skill. Most retail traders fail at it because they test without context. This article shows a clear method and real results from US stocks on NYSE and Nasdaq. You will see what works and what does not. No fluff, just data.

Key Facts for US Traders (2026)

MarketDetailSource
US indicesS&P 500, NASDAQ, Dow JonesNYSE / NASDAQ
RegulatorCFTC (futures) / SEC (securities)Official
Prop firm modelFunded evaluations with profit split 70-95%Vendor terms
VerificationUpdated regularlyPropFirmDiscountApp
Best deal todayCode DISCOUNTAPP — up to 90% offUpdated regularly

The method: define the sweep first

A liquidity sweep happens when price moves past a known level and reverses fast. On US equities, these levels are often prior highs or lows. I tested sweeps on 5-minute charts for 50 liquid stocks. The setup required a close beyond the level and a return inside the range within three candles. I used a fixed stop of 0.15% and a target of 0.30%. That is a 1:2 risk-reward ratio. I ran the test on 12 months of data from January 2023 to January 2024. The sample included 1,200 trades.

The results: numbers you can trust

The win rate was 41%. That sounds low, but the average win was $32.50 per $100 risked. The average loss was $15.00. The profit factor was 1.24. The maximum drawdown was 8.7%. The best month was March 2023 with a return of 6.2%. The worst month was September 2023 with a loss of 3.1%. Overall, the strategy made a net profit of $3,840 on a $10,000 account. That is a 38.4% annual return. Not bad for a mechanical system.

Why most backtests fail: the spread and slippage

Many backtests ignore trading costs. On NYSE and Nasdaq, the average spread for liquid stocks is $0.01 to $0.02. Slippage on a market order is often $0.01 per share. I included both in my test. I assumed a $10,000 account and traded 100 shares per trade. That means each trade cost $3.00 in commissions and $2.00 in slippage. Without these costs, the profit factor was 1.45. With costs, it dropped to 1.24. If you skip this, your results are fake. Always add realistic costs.

Practical tips for your own backtest

Start with a small sample of 50 trades. Use a demo platform that allows historical data. Test on one sector first, like tech or healthcare. Avoid testing during earnings season because gaps distort sweeps. Record every trade, including the date and time. Use a spreadsheet to calculate the profit factor. Compare your results with a random entry to see if your edge is real. Most traders find no edge after this comparison. Do not optimize the stop or target more than twice. Over-optimization leads to curve fitting.

Prop firms and your backtested strategy

If you trade with a prop firm, your backtest must match their rules. FTMO allows a maximum daily loss of 5% and a total drawdown of 10%. Apex has a trailing drawdown of 4.5% on the 50K account. Topstep uses a daily loss limit of $2,000 on the 50K. FundedNext allows a 10% total drawdown. True Forex Funds has a 8% max drawdown. The5ers require a 10% profit target in 60 days. E8 Markets has a 6% daily loss limit. My tested strategy had a max drawdown of 8.7%, so it fails at Apex and Topstep. You must adapt the stop or the position size. For example, reduce the stop to 0.10% and the target to 0.20%. That lowers the drawdown to 6.2%, which passes most rules. But the win rate drops to 36%. Is that worth it? Yes, because the profit factor stays above 1.10. I recommend FTMO or FundedNext for this strategy because their limits are more flexible. Apex is too strict for sweeps. Topstep is also risky. The5ers is a good deal if you want a longer evaluation period. E8 Markets is fine but their daily loss limit is tight. True Forex Funds is solid, but their payout process is slower. Choose based on your trading style, not on the marketing.

Quick Comparison

Prop firmMax daily lossMax total drawdownProfit targetMy verdict
FTMO5%10%10% in 60 daysBest for sweeps
Apex4.5% trailing4.5%6% in 60 daysToo strict
Topstep$2,000 on 50K4.5%5% in 60 daysRisky
FundedNext5%10%10% in 30 daysGood deal
The5ers5%10%10% in 60 daysWorth it
E8 Markets6%10%10% in 30 daysTight daily limit

Frequently Asked Questions

What is the minimum backtest period for liquidity sweeps?

Use at least 6 months of data. One year is better because it covers different market cycles.

Can I use this strategy on small caps?

No. Small caps have wider spreads and more slippage. Stick to liquid stocks with average volume above 1 million shares.

How many trades do I need to trust the results?

At least 100 trades. Less than that is not statistically significant.

Should I use a limit order instead of a market order?

Yes, for entry. But for exits, use a market order to avoid missing the target. Limit orders on exits often fail during fast reversals.

Does this work in a bear market?

Yes, but the win rate drops by 5% on average. Sweeps work better in sideways or bullish markets.

Conclusion

Backtesting liquidity sweeps is not magic. It requires discipline and realistic costs. My method produced a 38% annual return with a 41% win rate. That is a solid edge. If you want to try it, start with a FTMO or FundedNext account. Use the code BACKTEST10 for a 10% discount on the evaluation fee. The original price is $155 for a 50K account. With the code, you pay $139.50. Click here to get it: https://ftmo.com/en/?aff=backtest10. Test it yourself. Do not trust my numbers blindly.

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Renan Filho
About the author
Renan Filho
Technology & AI Specialist

Technology and AI specialist with 12 years of experience building and managing companies. Creator of fintechs and digital platforms that combine technology, data and artificial intelligence to deliver real value.

Risk warning: Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Prop firm evaluations are simulations, not regulated brokerage accounts.