The ProShares UltraShort Bloomberg Crude Oil ETF (SCO) has primarily followed a downtrend in recent periods, consistent with its -2x inverse exposure to crude oil futures. Price action has shown successive lower highs and lower lows, with occasional relief rallies that fail to sustain momentum. Sideways consolidation phases have interrupted the broader decline, allowing for range-bound behavior before the next directional move.
Support zones have emerged from prior swing lows and demand areas where buying interest has historically appeared. Resistance levels align with previous peaks and supply zones that have capped upside attempts. These key price zones serve as reference points for traders assessing potential breakout or breakdown scenarios in the leveraged ETF structure.
RSI readings have fluctuated between oversold territories during extended declines and neutral zones during consolidations, often signaling exhaustion in selling pressure. MACD has generated crossover signals that traders interpret for shifts in short-term momentum, with histogram behavior highlighting acceleration or deceleration in the prevailing trend.
Shorter-term moving averages have remained below longer-term counterparts, reinforcing the bearish bias for the ProShares UltraShort Bloomberg Crude Oil ETF (SCO). Crossovers and the slope of the 50-day, 100-day, and 200-day moving averages provide context for trend strength and potential reversal points when price interacts with these dynamic levels.
Volume spikes have frequently accompanied sharp moves in either direction, reflecting increased participation during oil market events. Unusual trading activity often precedes or confirms breakouts from consolidation ranges, adding conviction to technical signals observed on the chart.
AI Daily Buy/Sell Signals use artificial intelligence to analyze market data, technical indicators, and price patterns to generate buy or sell signals for stocks and ETFs. The signals are based on technical analysis, trend recognition, and historical pattern behavior. Traders use these signals to identify potential entry and exit points, confirm trends, and support trading decisions. AI Daily Buy/Sell Signals
Traders are monitoring the alignment of key moving averages, interactions with established support and resistance zones, and any shifts in momentum indicators for signs of trend continuation or reversal. Potential breakout zones above resistance or breakdowns below support could define the next significant move, with volume confirmation serving as an important validation factor. RSI and MACD behavior will remain central to assessing momentum sustainability in the leveraged ETF.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer. Disclaimers and Limitations
A.I.dvisor tells us that SCO and KOLD have been poorly correlated (+-1% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SCO and KOLD's prices will move in lockstep.
| Ticker / NAME | Correlation To SCO | 1D Price Change % | ||
|---|---|---|---|---|
| SCO | 100% | +5.35% | ||
| KOLD - SCO | -1% Poorly correlated | +6.60% | ||
| ZSL - SCO | -3% Poorly correlated | -11.03% | ||
| GLL - SCO | -4% Poorly correlated | -6.08% | ||
| DULL - SCO | -5% Poorly correlated | -9.58% | ||
| DZZ - SCO | -5% Poorly correlated | -1.62% | ||
More | ||||