Bottom Line
This is the kind of strategy that sounds beautifully testable at first. First 15-minute candle, ATR threshold, touch the range edge, target a Fibonacci level, stop at 2:1 reward/risk. Nice. Clean. No seven-indicator soup.
But the annoying part is also the important part: this is an intraday opening-range strategy. It lives or dies inside the first 90 minutes of the session. The local data I have for the current site sweep is daily data, so using it here would be fake precision. A daily candle cannot tell me whether price touched the opening range low at 9:47, hit the target at 10:12, or stopped out first on a one-minute wiggle.
So my verdict is inconclusive for now. The rules are clear enough to test, and I built the script for it. I just need proper 1-minute data before I can publish a real cross-market result.
What The Video Said
The strategy is called the touch and turn scalper. The basic claim is that the first 15 minutes after the market opens often creates an aggressive “liquidity candle.” The video argues that this candle pulls traders into chasing the opening move, then price often comes back to touch the edge of that opening range and turns back inside it.
The process is:
- Use a 15-minute chart at the regular market open.
- Let the first 15-minute candle close.
- Draw Fibonacci levels across that opening range.
- Check whether the opening candle range is at least 25% of the 14-day ATR.
- If the opening candle was red, place a long limit order at the low of the opening range.
- If the opening candle was green, place a short limit order at the high of the opening range.
- Use the 38.2% retracement target for a long after a red opening candle.
- Use the equivalent inside-range target for a short after a green opening candle.
- Set the stop so the trade has a 2:1 reward/risk profile.
- Only take the entry during the first 90 minutes after the open.
I like that the video does give a concrete volatility filter. The 25% ATR rule is much better than just saying “big candle” and hoping everyone sees the same thing.
The part I do not want to hand-wave is the execution. On an opening-range scalper, one-minute ordering matters. If the same minute touches entry, target, and stop, the backtest has to decide what happened first. If the spread is wide at the open, two basis points might be too gentle. This is exactly where a pretty chart can make a strategy look cleaner than it is.
How I Translated It Into Rules
I translated the idea into a mechanical test that expects intraday bars supplied by the reader.
| Component | Test rule |
|---|---|
| Input data | Intraday OHLC CSV with datetime, open, high, low, close |
| Default bar interval | 1-minute bars |
| Session open | 09:30 in the CSV timezone |
| Opening range | First 15 minutes of the regular session |
| Liquidity filter | Opening range must be at least 25% of previous 14-day ATR |
| Long setup | Opening candle closes red, then price touches the opening range low |
| Short setup | Opening candle closes green, then price touches the opening range high |
| Entry window | First 90 minutes after the session open |
| Target | 38.2% of the opening range back inside the range |
| Stop | Distance set from the target so reward/risk is 2:1 |
| Costs | 2 bps round trip by default |
| Ambiguity | If one-minute OHLC hits stop and target in the same bar, assume stop first |
That last line matters. It is less flattering, but it keeps the test from quietly giving the strategy perfect intrabar execution.
Data Used
To reproduce the test, download the script and run it on your own intraday OHLC CSV:
python3 run_backtest.py --csv your_1m_ohlc.csv --cost-bps 2
The script writes summary.csv and trades.csv to the output folder. The summary includes trades, win rate, average trade in bps, strategy return, strategy max drawdown, buy-and-hold return, buy-and-hold max drawdown, and profit factor.
Why There Is No Sweep Yet
I am not showing a cross-market sweep for this one yet because the available sweep files are daily bars. This strategy needs intraday session data. Testing it on daily bars would answer a different question and probably make the article worse, not better.
| Item | Status |
|---|---|
| Mechanical rules | Defined |
| Downloadable script | Ready |
| Required data | 1-minute OHLC bars with a regular session open |
| Current sweep | Not run |
| Reason | Daily bars cannot validate a first-90-minutes opening-range setup |
The first real sweep should probably be on liquid US stocks and indices, because that is where the video frames the idea: names like Netflix and Meta, plus broad index products. I would want the same session definition, the same cost model, and the same stop-first intrabar assumption across every symbol.
First Read
The setup is plausible in the way many opening-range ideas are plausible. The open is noisy. Liquidity is real. A hard push in the first candle can absolutely overextend and then snap back enough to hit a modest inside-range target.
What makes me cautious is the confidence. The video presents the pattern as extremely reliable and says losses were hard to find in one stretch. Maybe. But opening-range scalps are exactly where spread, slippage, partial fills, halts, gaps, and one-minute sequencing can quietly eat a beautiful chart setup.
I also do not love the phrase “manipulation candle.” It might describe the story traders tell themselves, but I do not need that story for the test. The measurable version is simpler: was the first 15-minute range large relative to recent daily range, and did a fade back into that range have positive expectancy after costs?
What Could Break It
The first obvious failure mode is trend day continuation. The strategy loses when price touches the range edge and keeps going instead of turning. The video acknowledges this, but that one scenario can be ugly if the stop is not respected or the open is moving fast.
The second issue is asset selection. A calm large-cap stock, a volatile tech name, and an index future can behave very differently in the opening 90 minutes. I would not assume one result transfers across all of them.
The third issue is fill quality. A limit order at the opening range edge sounds clean, but the market may touch the level for one print and move away. A backtest on one-minute bars can still be too generous if it assumes every touch is fillable.
Verdict
Verdict: Inconclusive.
This is testable, which already puts it ahead of a lot of trading videos. The rules are specific enough to turn into code, and the idea is not silly.
But I do not have the right data in the current sweep files to judge it. Until I run this on proper intraday data, I would treat the strategy as a candidate for research, not something proven. The next step is a real 1-minute sweep across liquid stocks and indices with strict execution assumptions.
Disclaimer
This is personal research and not financial advice. Backtests can be incomplete, overfit, or impossible to execute live.
