WTI Crude: Next Week's Levels, Now. 15Feb


Our weekly TPO profile graphics for 08Feb.
The graphs show the Jan distribution
rally phase from 91.50s-98s followed 
by the Feb balance phase from 95s-98s.
This clearly illustrates the longer term shift
in the phase of market development
from trend to balance.

Plotted are Support (blue), Resistance (red),
and Points of Control (green) which
indicate monthly & weekly levels of significance
based on the market structure, not opinion. 



Our weekly statistical study plotting the key reference levels/weekly close for 08Feb, and projected levels for week ending 15Feb.

This graph shows our weekly statistical expectations for 11Feb-15Feb: (96.81, 97.04, 97.28 as potential resistance levels) as well as inferential analysis for the week. 

Result?...



The market auctioned off the key structural low, 95s, this week rallying toward the key structural high, 98s, within the current Feb trade cluster, as inferred in the analysis. Following a probe of the high with no buy response, the market auctioned back down the range, filling in the weekly distribution, closing in the lower cluster at/near 95.86s.

The context (structural low 95s holding as support) implied potential for price discovery off that level this week. This is what transpired. The market auctioned up to the weekly 1st Std Dev High Level, 97.04s, during Monday's auction, balancing, then continuing the up auction to the key structural high, at/near 98s into midweek. The market continued the development back down the range into week's end. 

Knowledge of both the structural and statistical levels of significance (95s, 97.04s, 98s) informed the participant early in the week of both the asymmetric buyside opportunity and likely destinations of such an outcome. Additionally, the same market logic allowed for similar asymmetric opportunity on the sellside into week's end. 

These graphs provide a holistic view based on the market generated data, not opinion, to inform the participant of structural levels of significance, statistically probable destinations, and the resting supply/demand clusters of the auction. 

More efficient entry & exit. 

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