|
Sydney NSW Australia
Posts: 1 since Feb 2026
Thanks Given: 0
Thanks Received: 0
|
Hi everyone,
I’m working on a trading approach for NQ and GC futures and would appreciate feedback or perspectives from anyone familiar with intraday structure and market cycles.
My current strategy revolves around identifying daily liquidity sweeps and key price imbalances areas where price might naturally gravitate. Once I determine whether the broader market is trending or ranging, I drop to the 1-hour timeframe to frame my trades.
Here’s what I’ve observed:
• I look for hourly candles that reach about 1 standard deviation (1 SD) from their open but don’t sweep the opposite end before doing so.
• I define the first such candle as the “anchor candle” and the following one as the “expansion candle.”
• Often, price briefly tests the equilibrium or 0.75 level of the previous H1 candle (sometimes within minutes) before continuing its move through that 1 SD range often without breaking back below the previous low.
• In some cases, it takes two candles after the anchor candle for this expansion behavior to fully play out.
I also integrate VWAP into my analysis to confirm direction and watch how the developing “expansion” candle behaves around VWAP at its open. On the 1 minute timeframe, I like to study what the last hourly candle actually did whether it showed trending or ranging behavior before committing to the trade idea.
As for weekly timing, I notice that certain day combinations (like Monday–Tuesday or Thursday–Friday) sometimes produce more favorable setups depending on the week within the month and the macro news cycle.
I realize this idea may still be basic or unpolished, but it feels like there’s something to it especially in how price behaves around the 1 SD level and VWAP alignment. I’d really appreciate any insights on:
• Whether this concept aligns with known cycle or volatility models.
• Ways to more objectively define or backtest the “anchor” and “expansion” phases.
• Thoughts on refining my understanding of when conditions favor expansion vs. mean reversion.
Thanks in advance for any feedback or pointers I’m open to constructive critique or suggestions on how to make this framework more robust.
|