Session Opening Range Breakout on Gold (15m Range, 1m Entry)
As posted, this gold opening-range breakout lost about 83% over 5 years with costs included. Tuning made it modestly profitable. Adding a 1-hour 200 EMA trend filter looked much stronger on past data but only just stayed positive (about 1.75%) on 6 unseen months, so the edge looks thin.
From r/Daytrading. The idea, in our words: Mark the high and low of the first 15 minutes of the Asian, London and New York sessions on gold, then trade a breakout of that range on the 1-minute chart with a fixed reward-to-risk target.
mixedAs posted · the rules as described (see what we assumed below)
Optimized: best settings Quant Core found · last months held back as unseen data
Improved: only trade with the trend (price above/below the 60min 200 EMA)
We then tried 11 changes a quant would test first (880 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.
What we had to assume
- The post says the range is 'the first two 15min candles' but gives 15-minute windows (e.g. 00:00–00:15). The range is taken as the single 15-minute window shown in the listed times.
- New York range uses 13:00–13:15 UTC. The post also allows 12:00–12:15, depending on DST.
- A breakout means a 1min candle closing beyond OPH/OPL, not an intrabar touch. The post only says breakouts are identified on the 1min chart.
- Stop loss is placed at the opposite side of the opening range (OPL for longs, OPH for shorts). The post gives no stop rule.
- Take profit is set at 2R as the default. The post shows both 1R and 2R trades.
- Only the first breakout per session is traded, at most one trade per session.
- If neither stop nor target is hit, the open trade is closed at the next session's range start. The post gives no time exit.
- No confirmation or false-breakout filter is applied, because the post specifies none.
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.