US Oil Prices Bounce Off the 200 SMA After API Crude Inventories

WTI crude oil prices briefly dipped below $81 earlier today but later rebounded, closing in on the day’s highs at $83.46. Several factors contributed to this rebound, including growing risk appetite, a weakening US dollar after the softer US Sevices and Manufacturing PMI, and the possibility of additional sanctions against Iran.

Crude Oil bounces as the USD retreats

Oil prices successfully held above the $80 benchmark, indicating resilience in the face of downward pressure and buying pressure as the price of WTI got close to $80. After the US market closed, private oil inventory data was released, with expectations of a build of 1.8 million barrels of oil, along with draws of 1.4 million barrels of gasoline and 900,000 barrels of distillates. There is also speculation of a potential 4 million barrels per day draw in crude oil, which could explain some of the market enthusiasm seen late in the day.

WTI Crude Oil Chart Daily – The 200 SMA Held As Support

API Crude Oil Private Inventories

  • Headline crude inventories decreased by 3.23 million barrels, contrary to expectations of an increase of 1.8 million barrels.
  • Distillates inventories increased by 0.724 million barrels, while expectations were for a decrease of 0.9 million barrels.
  • Gasoline inventories decreased by 0.595 million barrels, compared to expectations of a decrease of 1.4 million barrels.
  • Cushing inventories decreased by 0.898 million barrels.
  • Strategic Petroleum Reserve (SPR) inventories decreased by 0.80 million barrels.

API Inventories Expectations Centred on:

  • Headline crude +1.8 mn barrels
  • Distillates -0.9 mn bbls
  • Gasoline -1.4 mn

WTI Crude Oil Live Chart

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Skerdian Meta
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Skerdian Meta Lead Analyst. Skerdian is a professional Forex trader and a market analyst. He has been actively engaged in market analysis for the past 11 years. Before becoming our head analyst, Skerdian served as a trader and market analyst in Saxo Bank's local branch, Aksioner. Skerdian specialized in experimenting with developing models and hands-on trading. Skerdian has a masters degree in finance and investment.
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