AIEQ0.930%
as of Jul 20
FANG
DefensiveDIAMONDBACK ENERGY INC
Diamondback Energy, Inc., an independent oil and natural gas company, acquires, develops, explores, and exploits unconventional, onshore oil and natural gas reserves in the Permian Basin in West Texas, the United States. The company primarily 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, both of which are part of the Permian Basin in West Texas and New Mexico. Diamondback Energy, Inc. was founded in 2007 and is headquartered in Midland, Texas.
Close · 3M
+6.85%
Held by 1 AI ETF
Signal performance
Each tracked ETF's moves on this stock, grouped by fund. Returns are measured from the signal date to the latest close — hypothetical, no commissions or slippage.
Buy signals4
Win rate25% (1/4)
Avg buy return-3.38%
AIEQ · Weight increase · 2d
FANG’s high PER of 180.28 and low ROE of 0.75% are balanced by a PBR of 1.17 and a revenue growth of 18.09%. AIEQ's IBM Watson NLP process, which integrates fundamental data with sentiment across thousands of equities, likely detected a shift in perception for Diamondback Energy Inc despite some of these traditional metrics. Following a period of stable allocation, AIEQ began incrementally increasing its position in FANG from 0.8200% on July 8th, reaching 0.8800% by July 9th. This upward adjustment coincided with FANG trading at $182.00, which is approximately 85% of its 52-week high and after experiencing a 30-day return of -5.6%, suggesting Watson identified new positive signals that outweighed the recent short-term price decline. The daily rebalancing of this high-turnover portfolio indicates that continuous ingestion of news, filings, and social posts likely triggered an improved ranking for FANG, prompting the fund to accumulate shares based on evolving sentiment or underlying fundamental shifts.
weight 0.820% → 0.880% (+0.060 pp)·stock down 8.2% in the 30 days before
Jul 9·entry $182.00·now $195.38Drifting
+7.35%
since Jul 9
AIEQ · Weight decrease · 2d
weight 0.660% → 0.620% (-0.040 pp)·stock down 1.3% in the 30 days before
Jun 7·entry $198.20·now $195.38
-1.42%
since Jun 7
AIEQ · Weight increase · 2d
weight 0.600% → 0.660% (+0.060 pp)·stock down 1.6% in the 30 days before
Jun 4·entry $202.94·now $195.38Fresh
-3.73%
since Jun 4
AIEQ · Sudden change · 1d
Diamondback Energy’s recent financial profile, showing a PER of 189.67 and ROE of 0.75%, alongside a PBR of 1.17 and Revenue Growth of 18.09%, presents a valuation for AIEQ’s fundamentals + sentiment hybrid approach. Despite the high PER and low ROE, the stock’s substantial 30-day return of +6.2% and its position at 90% of its 52-week high in late May likely indicated a strengthening positive sentiment. This shift, identified by IBM Watson NLP ingesting diverse market data, propelled the equity higher in EquBot's daily ranking. Consequently, on May 30th, AIEQ increased its allocation to FANG from 0.05% to 0.60%, demonstrating the fund’s high-turnover strategy in response to evolving market signals for this specific Energy sector holding.
weight 0.050% → 0.600% (+0.550 pp)·stock down 6.7% in the 30 days before
May 30·entry $199.03·now $195.38
-1.83%
since May 30
AIEQ · New entry · 1d
The AI ETF likely re-entered FANG prioritizing its robust 35.79% revenue growth, signaling a focus on top-line expansion within the energy sector despite the high P/E and low ROE. For retail investors, this indicates that AI models can prioritize specific aggressive growth metrics over traditional profitability or value, often making sector-specific bets on future expansion rather than current fundamentals.
weight 0 → 0.050% (new)·stock up 8.9% in the 30 days before
May 3·entry $213.69·now $195.38Fresh
-8.57%
since May 3
QRFT · Exit · 1d
FANG currently trades at $202.40, sitting at 95% of its 52-week high after a significant +46.3% return over the past year and +31.4% in 90 days. This recent run-up likely triggered a re-evaluation by QRFT's AI, which incorporates traditional factors like value and quality alongside momentum. While the stock experienced strong momentum, its financial profile presents a contrasting picture with a PER of 200.49 and a low ROE of 0.75%, despite 18.09% revenue growth. For QRFT, a diversified large-cap core fund with an AI tilt, the AI model likely weighed the very high valuation and diminished profitability against the recent price appreciation. The AI's blend of value, quality, and proprietary alternative data overlays probably signaled that FANG, trading near its peak, no longer aligned with the fund's requirements, prompting its full removal from the portfolio on June 2nd.
weight 0.120% → 0 (exited)·stock down 2.5% in the 30 days before
Jun 2·entry $202.40·now $195.38
-3.47%
since Jun 2
QRFT · Weight decrease · 2d
The AI likely initiated consecutive weight decreases in FANG due to its exceptionally low 4.34% Return on Equity, which indicates poor capital efficiency or profitability despite robust revenue growth. This fundamental weakness, juxtaposed against a high P/E ratio of 33.27, suggests the AI identified a valuation disconnect. For retail investors, this underscores the importance of scrutinizing profitability metrics like ROE alongside growth and P/E to avoid overvalued stocks with inefficient operations.
weight 0.140% → 0.120% (-0.020 pp)·stock down 0.2% in the 30 days before
May 6·entry $195.08·now $195.38
+0.15%
since May 6
QRFT · New entry · 1d
The AI ETF likely added Diamondback Energy due to its impressive 35.79% revenue growth, signaling strong operational momentum or an anticipated positive shift in the energy sector, despite its high PER and low ROE. Retail investors should note that AI funds may prioritize significant growth potential and forward-looking market dynamics over current traditional value metrics, requiring thorough personal due diligence on a company's complete financial health before mimicking such investments.
weight 0 → 0.140% (new)·stock up 10.2% in the 30 days before
May 4·entry $213.69·now $195.38Fresh
-8.57%
since May 4
Sell signals show what the stock did after the AI exited. A negative number means the AI's exit was well-timed.