ICT First Hour Dealing Range + FVG Backtest: Coin Flip or Edge?
We backtested ICT's claim that on trending days, when a candle body breaks the first hour's dealing range, you should enter on the first presented Fair Value Gap. 12 years of 1-minute DJI data — 1.2 million bars across 3,180 trading days — analyzed.
The Claim
ICT (Inner Circle Trader) teaches the following setup:
“In a trending day when we have broken first hour's dealing range. Breaking means candle body below the range not a wick. First presented FVG after first hour dealings range is broken you sell/buy on that.”
The logic is intuitive: the first hour establishes a range. A decisive body close beyond it signals directional commitment. The first FVG after the break provides a pullback entry in the direction of the breakout. But does it actually produce an edge? We tested it.
Methodology
We ran this backtest on 1,215,322 one-minute barsof DJI (Dow Jones Industrial Average) data from Dukascopy, covering September 2013 through February 2026 — approximately 12.5 years and 3,180 trading days.
Definitions
Results
Day Classification
| Category | Count | % of Days |
|---|---|---|
| Total trading days | 3,180 | 100% |
| No FHDR break (range held) | 176 | 5.5% |
| Break but no FVG formed | 10 | 0.3% |
| Break + FVG but too late in day | 7 | 0.2% |
| Tradeable signals | 2,987 | 93.9% |
The FHDR is broken on 94% of trading days. This means the setup fires almost every day — it is not selective at all.
Trade Statistics
| Metric | Result |
|---|---|
| Total trades | 2,987 |
| Winners | 1,486 (49.7%) |
| Losers | 1,501 (50.3%) |
| Average P&L | -0.24 pts |
| Median P&L | -0.44 pts |
| Profit Factor | 1.00 |
| Average Win | +104.0 pts |
| Average Loss | -103.4 pts |
| Win/Loss Ratio | 1.01 |
| Largest Win | +2,532 pts |
| Largest Loss | -1,249 pts |
| Max Drawdown | -12,597 pts |
The Key Finding: “Trending Day” Is Doing All the Work
ICT qualifies this setup with “on a trending day.” This is the load-bearing part of the claim. We checked whether the break direction matched the day's actual trend (open-to-close) and found a stark divergence:
76% of the time, the first body break correctly identifies the day's trend — and in those cases the strategy is a solid 64% winner with strong positive expectancy. But 24% of the time the break is a fakeout, and those trades lose catastrophically (3.9% win rate). The problem: you can only know which type of day it is after the fact.
The circular logic:The strategy works on trending days. A trending day is one where the break direction matches the day's actual trend. But you don't know the day's actual trend until the day is over. This makes the “trending day” qualifier unfalsifiable in real-time.
By Direction
| Direction | Trades | Win Rate | Avg P&L | Total P&L |
|---|---|---|---|---|
| Bearish (short) | 1,393 | 45.7% | -2.95 | -4,110 |
| Bullish (long) | 1,594 | 53.3% | +2.12 | +3,385 |
Bullish breaks outperform bearish, reflecting the long-term upward bias in equity indices. This is not an edge from the strategy itself — any long-biased approach would capture this.
Can We Filter for “Trending” in Real-Time?
Since the raw strategy is a coin flip, we tested multiple real-time observable filters to see if any could approximate the “trending day” qualifier without hindsight.
| Filter | Trades | Win Rate | Avg P&L | Total P&L |
|---|---|---|---|---|
| Baseline (all trades) | 2,987 | 49.7% | -0.24 | -725 |
| Break depth ≥ 10% of FHDR | 421 | 49.2% | +7.66 | +3,224 |
| Break depth ≥ 20% of FHDR | 81 | 53.1% | +30.46 | +2,467 |
| Depth ≥ 20% + ≥ 2 consecutive bodies | 80 | 53.8% | +31.70 | +2,536 |
| Break depth ≥ 50% of FHDR | 4 | 75.0% | +149.6 | +599 |
| Break within 15 bars of 10:30 | 1,257 | 47.3% | -7.67 | -9,638 |
| Large body (≥ 30%) + fast break | 52 | 46.2% | +13.68 | +712 |
Break depth is the best real-time proxy for a trending day. When the candle body closes more than 20% of the FHDR past the range boundary, win rate rises to ~54% with positive expectancy.
However, this aggressive filter only fires 80 times in 12 years— roughly 6–7 trades per year. And the win rate of 54% is still marginal.
Notably, speed of break (how quickly after 10:30 the range is broken) actually hurtsperformance. Fast breaks within 15 bars produce a 47.3% win rate with -9,638 total P&L — worse than baseline. The intuition that “fast breaks signal conviction” is not supported by the data.
Year-Over-Year Performance
Baseline strategy (no filters) — showing how inconsistent the results are across market regimes:
| Year | Trades | Win Rate | Avg P&L | Total P&L |
|---|---|---|---|---|
| 2014 | 233 | 51.5% | +1.74 | +406 |
| 2015 | 246 | 48.0% | -3.31 | -816 |
| 2016 | 241 | 48.1% | -3.93 | -946 |
| 2017 | 232 | 46.1% | -0.13 | -29 |
| 2018 | 249 | 47.8% | -0.71 | -176 |
| 2019 | 243 | 44.4% | -12.44 | -3,022 |
| 2020 | 247 | 51.8% | +2.08 | +513 |
| 2021 | 238 | 47.1% | -21.12 | -5,027 |
| 2022 | 250 | 56.4% | +5.43 | +1,356 |
| 2023 | 241 | 49.0% | +3.59 | +864 |
| 2024 | 242 | 50.8% | -4.46 | -1,080 |
| 2025 | 242 | 55.8% | +29.51 | +7,142 |
Results swing wildly year to year. 2019 and 2021 were devastating (-3,022 and -5,027 pts), while 2022 and 2025 were profitable. No consistent edge across market regimes.
Break Time Analysis
Does it matter when the FHDR is broken? Later breaks actually perform better:
| Break Time | Trades | Win Rate | Avg P&L |
|---|---|---|---|
| 10:30 – 10:59 | 1,705 | 48.3% | -5.29 |
| 11:00 – 11:59 | 781 | 51.5% | +7.13 |
| 12:00 – 12:59 | 230 | 52.2% | +2.42 |
| 13:00 – 13:59 | 126 | 50.8% | +12.39 |
| 14:00 – 14:59 | 116 | 47.4% | +0.94 |
| 15:00 – 15:50 | 29 | 72.4% | +17.04 |
57% of all breaks occur in the first 30 minutes after the first hour (10:30 – 10:59), and these are the worst-performing group. Later breaks, particularly after 11 AM, show slightly better results — possibly because a longer consolidation before the break indicates stronger directional conviction.
Conclusion
Based on 12 years of 1-minute DJI data, the ICT first hour dealing range + FVG strategy as described does not produce an edge without the “trending day” qualifier. The raw setup fires on 94% of trading days and produces a 49.7% win rate with negative expectancy — indistinguishable from a coin flip.
The “trending day” qualifier is the entire edge. When the break direction matches the day's actual trend, the strategy is a 64% winner. When it doesn't, it's catastrophic (3.9% WR). But this alignment can only be confirmed after the close — making the qualifier circular.
The best real-time filter we found is break depth: when the body closes more than 20% of the FHDR past the range, results improve to ~54% win rate. But this reduces the signal count to ~80 trades over 12 years and the edge is marginal at best.
Caveats
- Tested on DJI (cash index), not NQ futures. The image in ICT's video shows NQ (Micro E-mini Nasdaq), which may behave differently due to higher volatility and tech-sector concentration.
- ICT's full methodology involves additional confluences (higher-timeframe bias, order blocks, market structure shifts) that could improve signal quality but are not part of this specific claim.
- The “trending day” qualifier may refer to higher-timeframe context (daily or weekly trend) rather than the same-day open-to-close direction. This was not tested.
- No stop-loss was used — all trades were held to 3:50 PM. A stop-loss could reduce the damage from counter-trend fakeouts.
- FVG size (small vs. large relative to FHDR) showed no measurable effect on performance.
Data & Reproducibility
Disclaimer: This research is for educational and informational purposes only. It does not constitute financial advice. Trading futures involves substantial risk of loss. Past performance does not guarantee future results. Always do your own research before making trading decisions.