Diamondback Energy, Inc. (FANG) Stock Price & Analysis
Market: NASDAQ • Sector: Energy • Industry: Oil & Gas Exploration & Production
Diamondback Energy, Inc. (FANG) Profile & Business Summary
Diamondback Energy, Inc., an independent oil and natural gas company, focuses on the acquisition, development, exploration, and exploitation of unconventional and onshore oil and natural gas reserves in the Permian Basin in West Texas. It focuses on the development of the Spraberry and Wolfcamp formations of the Midland basin; and the Wolfcamp and Bone Spring formations of the Delaware basin, which are part of the Permian Basin in West Texas and New Mexico. As of December 31, 2021, the company's total acreage position was approximately 524,700 gross acres in the Permian Basin; and estimated proved oil and natural gas reserves were 1,788,991 thousand barrels of crude oil equivalent. It also held working interests in 5,289 gross producing wells, as well as royalty interests in 6,455 additional wells. In addition, the company owns mineral interests approximately 930,871 gross acres and 27,027 net royalty acres in the Permian Basin and Eagle Ford Shale; and owns, operates, develops, and acquires midstream infrastructure assets, including 866 miles of crude oil gathering pipelines, natural gas gathering pipelines, and an integrated water system in the Midland and Delaware Basins of the Permian Basin. Diamondback Energy, Inc. was founded in 2007 and is headquartered in Midland, Texas.
Key Information
| Ticker | FANG |
|---|---|
| Exchange | NASDAQ |
| Official Site | https://www.diamondbackenergy.com |
Market Trend Overview for FANG
One model, two time views: what the market looks like right now, and where the larger trend is heading over time.
SRE (WhaleQuant Structural Regime Engine) SRE evaluates how price structure evolves across daily and weekly timeframes to define the prevailing market regime. Beyond identifying trends, consolidations, and exhaustion phases, it distinguishes between raw structural strength and deployable participation quality. The model dynamically adjusts for structural context and extension risk, assessing whether conditions are supportive, stretched, fragile, or structurally impaired. Its purpose is not to forecast precise price levels, but to determine whether risk deployment is aligned with underlying market structure.
Longer-Term Market Trend (Mid to Long Term)
Shows the bigger market trend, how strong it is, and where risks may start to build over the next few weeks or months. — Updated as of 2026-10-01 (ET)
As of 2026-10-01, FANG is showing signs of slowing down. Over the longer term, the trend remains bullish.
FANG last closed at 185.51. The price is about 1.0 ATR below its recent average price (191.93), and the market is currently in a trend that may be losing strength. Price at 185.51 is near light support around 184.80. Momentum may slow, while light resistance sits near 191.40. View Support & Resistance from Options
Short-term weakness is unfolding within a broader uptrend, suggesting a pullback rather than a full trend reversal.
Trend score: 55 out of 100. Overall alignment is unclear. The market is currently in a late-stage trend that may be losing strength. The longer-term trend is still positive, but short-term signals are not yet confirming it.
There is no clear key risk boundary right now.
On 2026-08-28, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
Recent bars show mixed price behavior without a clear shift in structural quality or efficiency.
Closing activity showed limited conviction and did not suggest strong overnight positioning.
The model stays neutral because the setup is not clear enough to justify a directional deployment.
The model does not deploy this setup because predictability is still too low, internal signals are not aligned strongly enough, price is still close to a gamma transition zone, recent price behavior has shown failed reversal memory, and there is meaningful next-session pullback or digestion risk. Predictability is 27%, agreement is 39%, and reversal risk is 24%.
NOTE: This next-day up/down probability forecast module is still being tested for accuracy. Please do not rely on it for investment decisions. The model does not account for black swan events or company-specific fundamental news, and its estimates are based solely on technical conditions, capital flow, and market sentiment. View forecast history
This estimate uses 1-minute price, volume, and VWAP data from the last 50 trading days, with turnover-based decay. The sample period is 2026-07-23 to 2026-10-01. The current price is 185.51, 5.52% below the estimated average cost of 196.34. An estimated 7.5% of recent positioning is below the current price, while 92.0% is above it. The peak-density price is 195.10. The largest concentrated cost region is 191.95 to 198.25 and contains 32.3% of the estimated distribution. The current price is within the 184.65 to 186.25 cost region. The nearest region below the current price is 183.85 to 184.15. The nearest region above the current price is 186.45 to 189.15.
Short Interest & Covering Risk for FANG
This analysis looks at overall short interest positioning, focusing on the broader setup rather than short-term noise.
Shows how likely a short squeeze may be under current market conditions.
Short Exposure Percentile
Short interest is within its typical range, with no clear imbalance between buyers and sellers. (Historical percentile: 58%)
Structure Analysis
FANG Short positioning looks normal. Current days to cover is 4.1 trading days, meaning short positions could unwind at a normal pace. Short covering is likely to have a normal impact on price moves. Price is already trending lower (20D return -8.8%). The current configuration reflects active downside pressure rather than latent structural fragility.
Risk Summary
No clear bull trap characteristics detected. Recent price behavior remains broadly consistent with current positioning.This reading helps confirm that current price action remains structurally healthy and does not indicate elevated trap risk.
Why Price Reactions May Be Stronger?
Price action is compressing (range is tightening), which can make breaks more sensitive. Adaptive thresholds applied to liquidity weakness, near-high detection, and compression sensitivity. As a result, similar news or market events could lead to price moves about 1× larger than usual.
Note:
Short interest data is reported every two weeks by
FINRA.
The most recent snapshot is
2026-09-15 (ET).
Because this data updates slowly, it is not intended to predict short-term price moves. Instead, it helps describe longer-term market structure and where pressure may be building if prices begin to move.