WE TESTED A COMMUNITY STRATEGY · USATECHIDXUSD 5min

NQ 15-Minute Opening Range Breakout

The 15-minute opening range breakout on the Nasdaq 100 made +69% over five years with costs included, but won only £1.09 per £1 lost and 28 of 61 months lost money. Tuning and a trend filter looked better on past data, yet both barely made money on the six unseen months (+1.6% and +2%).

From r/algotrading. The idea, in our words: Mark the high and low of Nasdaq futures' first 15 minutes after the US cash open, trade a breakout in either direction, and take profit at a distance equal to the range's height.

mixed

As posted · the rules as described (see what we assumed below)

+68.9%total return
1.09profit factor
52.9%win rate
15.2%max drawdown
1,287trades
5.0years tested

Optimized: best settings Quant Core found · last months held back as unseen data

+54.4%total return
1.09profit factor
52.6%win rate
12.1%max drawdown
1,150trades
1.03profit factor on unseen months

Improved: only trade with the trend (price above/below the 60min 200 EMA)

We then tried 8 changes a quant would test first (640 settings in all) and kept the best on past data only. The held-back months played no part in choosing it. It did not hold up on the unseen months.

+81.0%total return
1.18profit factor
54.5%win rate
8.3%max drawdown
837trades
1.05profit factor on unseen months

What we had to assume

  • Session open taken as 09:30 ET (US cash open); the post only says 'opening range'.
  • Entry is on a touch or trade-through of the range boundary, filled at the boundary price.
  • Stop placed at the opposite side of the opening range; the post gives no stop.
  • One trade per day, first breakout only. This is inferred from roughly 1,000 trades over about 4 years.
  • Unfilled or open trades are closed at 16:00 ET.
  • No cutoff time for new entries.
  • NQ futures are mapped to the NAS100TV CFD.

A different reading of the rules could give a different result.

Backtested with the StratOS optimizer on historical data, with spread and costs charged, and the most recent months held back as unseen data. A backtest is not a forecast, and nothing here is investment advice.

Test your own strategy: join the beta