How about that?. Before and after. Power hour

If London takes Asia High, day closes higher: 60.81% of the time.

By aligning your strategy with these statistically verified session behaviors, you’re no longer guessing — you’re trading with 17 years of history on your side. - Timezone conversion: All timestamps converted from Chicago to New York 📉 Instrument: Nasdaq Futures (NQ), 1-minute

⚙️ Methodology Recap. The backtest was written in Python using pandas and tqdm. Each day:. -The Asia range was defined using data from 20:00 to 00:00 NYT.-Pre-London and London sessions were isolated.-I checked whether those sessions swept the Asia High/Low.-Then, I tracked how

🧠 How Can I Trade Using This Edge?. This research uncovered powerful, repeatable behaviors across thousands of days. Here’s how I’m using it to structure higher-probability trades:. 1. Plan Directional Bias Based on the Sweep. If London takes the Asia High, there’s a 60.54%.

📅 What Happens After a Sweep?. I didn’t stop at just sweep frequency. I also checked what happens after Asia’s high or low gets taken out:. 📈 If London takes Asia High.→ Day closes higher: 60.81% of the time. 📉 If London takes Asia Low.→ Day closes lower: 51.90%. 🌒 If.

🔍💪 Even Stronger During Small Asia Ranges. When filtering for days with Below Average Asia Range (i.e., lower volatility in Asia), the pattern becomes even more pronounced:. 🧠 Below Average Asia Range Days:.If Pre took Asia High → London takes Pre High: 79.09%.If Pre took.

🔁 Predictive Behavior: .When Pre-London Sets the Stage for London. One of the most fascinating discoveries I made during this study is how often the London session follows through on the level already swept during Pre-London (the Dead Hour). 🔄 All Days (n=1421):.If Pre took

The result? 📏 The average Asia range since 2020 is 78.45 points, which I then used as the threshold to split all data into:. -Above-average Asia range days.-Below-average Asia range days. This allowed for much more meaningful segmentation and revealed surprisingly strong

📐 Average Asia Range Since 2020: 78.45 points. To ensure relevance to current market conditions, I decided to calculate the average Asia session range using only the last 5 years of data — rather than the full 17-year sample. The reason is simple: 🧠 Asia session volatility has.

🔗 Combined (00:00–05:00):. Sweeps Asia High: 65.32%.Sweeps Asia Low: 55.42%

🌒 Pre-London / Dead Zone (00:00–02:00):. Sweeps Asia High: 34.44%.Sweeps Asia Low: 27.29%.Sweeps Both High and Low: 1.74%

🇬🇧 London Session Results (02:00–05:00):. Sweeps Asia High: 59.81%.Sweeps Asia Low: 49.46%.Sweeps Both High and Low: 17.97%

🕒 Session Definitions (New York Time):. Asia Session: 20:00 – 00:00.Pre-London Session (aka “Dead Zone”): 00:00 – 02:00.London Session: 02:00 – 05:00.

I ran a 17-year backtest (4262 trading days) using 1-minute data, focusing on how often the Asia session’s high or low is swept during Pre-London (also known as the “Dead Hour”) and London hours — and what that tells us about how the rest of the day may unfold. All data from.

Before and After.I'll be publishing my full 17-year backtest report on the Asia & London sessions today at 1:30 PM (NY time).

I'm finalizing the last details before releasing an in-depth historical backtest analysis of the Asia–London sessions, covering the past 17 years. The publication should be out today at 1:30 PM (NY time).