Jun 8, 2026 · Livestream

🔴 LIVE｜Trading NY Open｜THE BEARS HAVE ARRIVED

Chapters

Session notes

AI-generated from the transcript · may contain errors

In this live trading session, Ash prepared for the New York open by analyzing key levels on the daily and 15-minute charts, focusing on the 50% retracement of Friday's selloff range and the new week opening gap. He noted bullish SMT (Smart Money Technique) signals on NQ and bearish SMT on ES, using these to form his bias.

Ash emphasized the importance of waiting for confirmation at key levels before entering trades. During the session, he identified a bearish unicorn pattern and a fair value gap rejection at the 50% level, which led to a short trade setup that played out quickly.

Later, Ash entered a long trade on NQ after spotting bullish SMT and a change in the state of delivery on lower timeframes, managing risk carefully and taking profits promptly for a $500 gain. He highlighted the value of strict risk management and journaling trades for learning.

Ash also explained concepts like order blocks, breaker blocks, and changes in market structure, cautioning against information overload. He encouraged viewers to develop independent trading skills and shared ongoing giveaways for funded accounts.

The session ended with Ash stressing the importance of staying green and avoiding overtrading after a winning trade.

Key takeaways

Ash uses the daily chart for bias, the 15-minute or hourly for key levels with SMT, and the 1- or 5-minute for entry functions.
The 50% retracement of Friday's range combined with the new week opening gap was a critical level for trade decisions.
Bullish and bearish SMT signals helped identify potential reversals and trade setups on correlated instruments ES and NQ.
Ash entered a long trade on NQ after confirming a bullish change in the state of delivery and managed risk with a $400 stop loss, taking profits quickly for a $500 gain.
Strict risk management can lead to profitable trades even when the initial bias is wrong.
Ash advises traders to journal their trades, avoid information overload, and develop independent decision-making skills rather than relying on signals.