JJumbo
Time+phases
PO3 H4
2AM - 6AM - 10AM
@JJumboFX
Introduction
In-depth guide to the H4 power of three and my personal observation regarding times
of each H4 PO3 sessions and its phases in the futures markets.
concept inspired by ICT (Michael Huddleston) and personal discoveries (standard
deviations) of TraderDexte3r (MonsterLab)
Instruments:
NQ - ES - YM
Times of interest
2am - 6am - 10am
I usually divide the trading day into 3x H4 PO3s which take part in both London session and New
York AM session.
The 2am open H4 candle (London session) which delineates the session highs and lows in
which liquidity will be engineered for price to purge at the next H4 PO3 sessions in the form
of manipulation and distribution
The 6am open H4 candle which incapsulate two of the most sensible time windows for
liquidity injections, 8:30am (when most of the red folder news happen) and 9:30am (market
open). This is the H4 PO3 i define as the “Manipulation session“ that manipulates into
previous 2am H4 PO3 High/Low
The 10am open H4 PO3 which i define as the high probability H4 PO3. At this stage most
liquidity has already been taken from the previous “Manipulation H4 PO3 session“ and
direction to the opposite draw on liquidity has been established, generating a clear shortterm bias for the 10am PO3
2AM
6AM
10AM
Model
partecipation:
2am H4 PO3: usually low probability
6am H4 PO3: (manipulation) trade-able, usually internal to external framework
10am H4 PO3: high probability
Framework :
Entries:
Turtle soup (riskier)
FVG
Breaker
Targets:
session high/low (conservative
-3.5 -4 standard deviation
requisites:
Market structure shift
SMT confirmation at the start of a new move (PO3)
HTF orderflow alignment (for extented targets)
HTF draw on liquidity
Examples LTF
Conclusion
this is a great framework to establish your short-term bias and identify where the next H4 PO3
candle is likely to expand whether it’s session highs lows or more precise extended targets using
standard deviations.
take your time to backtest this to help visualize in live market conditions following the parameters
given.