1. Price Action & Technical Analysis
WTI crude oil (CL=F) closed at 71.29 on 2025-02-13, marking a marginal decline of 0.11% from the prior session. This follows a sharp 2.66% drop on 2025-02-12, which itself came after two consecutive up days: +1.38% on 2025-02-11 and +1.86% on 2025-02-10. The five-day change now stands at +0.96, indicating a modest recovery from the recent lows. However, the 20-day change remains deeply negative at -10.93, underscoring the broader downtrend that has persisted over the past month. The daily pivot point for 2025-02-13 is 71.0367, with first resistance at 71.8534 and first support at 70.4734. The close of 71.29 is slightly above the pivot, suggesting a neutral-to-slightly-bullish intraday bias. The average true range (ATR) is 1.8857, reflecting elevated volatility relative to recent norms. This ATR level implies that daily swings of nearly $1.90 are common, which is significant for risk management.
On a weekly basis, the price action shows a mixed picture. The week ending 2025-02-07 closed at 71.00, up 0.55% for the day but down 2.11 over the five-day period. The subsequent week has seen a rebound, with the five-day change turning positive. The weekly pivot levels are not directly provided, but the daily pivots can be aggregated to infer weekly ranges. The 20-day change of -10.93 indicates that the market has been in a corrective phase, possibly driven by demand concerns or supply increases. The monthly perspective is even more bearish, as the 20-day change is a proxy for monthly momentum. A decline of nearly 11 points over 20 days is substantial and suggests that the market is searching for a bottom.
Moving averages are not explicitly provided in the data block, but we can infer their likely positioning. Given the close of 71.29 and the 20-day change of -10.93, the 20-day simple moving average (SMA) is likely above the current price, perhaps in the mid-70s. The 50-day and 200-day SMAs are also likely higher, confirming a bearish alignment. The 5-day change of +0.96 suggests that the very short-term moving average (e.g., 5-day) may be flattening or turning up, which could signal a potential crossover if the price continues to recover. However, without explicit MA data, we must rely on the provided metrics.
Momentum indicators such as RSI and MACD are not directly given, but we can infer from price action. The sharp 2.66% drop on 2025-02-12 likely pushed the daily RSI into oversold territory (below 30), and the subsequent stabilization on 2025-02-13 may have allowed it to recover slightly. The MACD, which measures the relationship between two moving averages, is likely negative and below its signal line, indicating bearish momentum. However, the recent price bounce could lead to a bullish crossover if sustained. The ATR of 1.8857 is high, suggesting that volatility is elevated, which often accompanies market bottoms or tops.
Key support and resistance levels are derived from the pivot points. For 2025-02-13, the pivot is 71.0367, with R1 at 71.8534 and S1 at 70.4734. The close of 71.29 is between the pivot and R1, indicating that the market is in the upper half of the daily range. If the price breaks above R1, the next resistance might be the 2025-02-11 high of 73.32 or the 2025-02-12 pivot of 71.92. On the downside, a break below S1 could target the 2025-02-07 low of 71.00 or the 2025-02-10 pivot of 71.90. The 20-day low is not provided, but the 20-day change of -10.93 suggests that the low may be around 68-69, given the current price of 71.29. The 5-day change of +0.96 indicates that the market has bounced from that low.
In summary, the technical picture is mixed. The short-term trend is stabilizing, but the medium-term trend remains bearish. The price is above the daily pivot, but below likely moving averages. Volatility is high, and momentum is negative but potentially turning. Traders should watch for a break above 71.85 (R1) to confirm a short-term bullish reversal, or a break below 70.47 (S1) to resume the downtrend. The ATR suggests using wider stops to avoid being whipsawed.
2. Fundamental Drivers
Interest rates and the US dollar are primary drivers for crude oil prices. While the data block does not provide specific rates or USD levels, we can infer from the price action that the dollar may have been strengthening, as a stronger USD typically pressures dollar-denominated commodities like oil. The 20-day decline of 10.93 could partly be attributed to a hawkish Federal Reserve stance or robust economic data that boosted the dollar. Inflation data, if higher than expected, could lead to expectations of tighter monetary policy, further supporting the dollar and weighing on oil. Conversely, any signs of easing inflation or dovish Fed commentary could weaken the dollar and support oil prices.
Inventories are a critical fundamental driver. The data block does not include inventory figures, but typically, the Energy Information Administration (EIA) reports weekly crude oil inventories. A build in inventories would be bearish, while a draw would be bullish. Given the recent price decline, it is plausible that inventories have been rising or at least not falling enough to support prices. The American Petroleum Institute (API) also reports inventories, often leading the EIA. Without specific data, we can only note that inventory trends are a key catalyst for price movements. Market participants will be watching for any signs of demand destruction or supply increases.
Central bank flows and ETF positioning are also relevant. The data block does not provide ETF flow data, but we can discuss the general trend. Oil ETFs, such as the United States Oil Fund (USO), often see inflows when prices are rising and outflows when prices are falling. The recent price decline may have triggered redemptions, adding to selling pressure. However, if prices stabilize, ETF flows could turn positive, providing support. Central banks, particularly the Fed, influence oil through monetary policy. A dovish Fed could weaken the dollar and stimulate economic activity, boosting oil demand. A hawkish Fed could have the opposite effect.
Geopolitics is a wildcard. The data block does not mention specific geopolitical events, but oil markets are always sensitive to supply disruptions. Tensions in the Middle East, sanctions on oil-producing countries, or conflicts in key producing regions can cause sharp price spikes. The recent price decline suggests that geopolitical risks are currently low or being offset by other bearish factors. However, any escalation could quickly reverse the downtrend. For example, if tensions rise in the Strait of Hormuz or if there are attacks on oil infrastructure, prices could surge. Conversely, if geopolitical risks subside, prices could remain under pressure.
Supply and demand fundamentals are also crucial. The data block does not provide OPEC+ production data or demand forecasts, but we can infer from price action that supply may be outpacing demand. The 20-day decline of 10.93 suggests that the market is well-supplied, possibly due to increased production from non-OPEC countries like the US, or weaker demand from major consumers like China. If OPEC+ decides to cut production, it could support prices. If they increase production, it could exacerbate the decline. Demand-side factors, such as economic growth in China and India, also play a role. Any signs of slowing growth could reduce oil demand and pressure prices.
In summary, the fundamental backdrop is mixed. The strong dollar and potential inventory builds are bearish, while geopolitical risks and potential OPEC+ action are bullish. The market is likely weighing these factors, leading to the recent stabilization. Traders should monitor the USD, inventory reports, and geopolitical headlines for directional cues. Without specific data, we cannot quantify these drivers, but they are essential for understanding the broader context.
3. Positioning & Fund Flows
The Commitments of Traders (COT) data provided is dated 2026, which is not current for 2025-02-13. However, we can analyze the structure to understand positioning trends. The most recent COT report (2026-09-15) shows open interest of 1,955,764 contracts, with long positions at 221,896 and short positions at 115,617, resulting in a net long of 106,279. This net long decreased by 5,452 from the prior week. The prior weeks show net longs of 111,731 (2026-09-08), 94,281 (2026-09-01), and 84,020 (2026-08-25). The trend indicates that net long positioning had been increasing from late August to early September, peaking at 111,731, and then slightly decreasing. This suggests that funds have been adding to longs but recently took some profits or reduced exposure.
Although this data is from 2026, it provides a template for understanding how positioning can influence price. In the current context (2025-02-13), we do not have COT data, but we can infer that the recent price decline may have been accompanied by long liquidation. The 20-day change of -10.93 suggests that longs may have been forced to cover, adding to selling pressure. If the market stabilizes, we could see shorts covering, which would support prices. The net long position, if similar in scale, would indicate that the market is not overly crowded on the long side, leaving room for further long liquidation if prices break down.
Crowding is a key concept. When net positioning is extreme, it can lead to sharp reversals. The COT data from 2026 shows net long as a percentage of open interest: 106,279 / 1,955,764 = 5.4%. This is relatively moderate, not extremely crowded. In the current market, if net long is similarly moderate, a further decline could be limited as there are not many longs left to sell. Conversely, if net long is high, a breakdown could trigger a cascade of selling.
Options and volatility are also important. The data block does not provide options data, but we can discuss the implications. The ATR of 1.8857 indicates high volatility, which typically leads to higher option premiums. Implied volatility (IV) is likely elevated, making options expensive. This could deter some traders from using options for hedging, but it also presents opportunities for premium sellers. If IV is high and the market stabilizes, IV could decline, benefiting option sellers. If the market breaks out, IV could spike further.
Fund flows into oil ETFs are another indicator. Without specific data, we can note that ETF flows often follow price trends. The recent price decline may have led to outflows, but a sustained recovery could attract inflows. Institutional investors may also adjust their allocations based on macroeconomic factors. For example, if inflation expectations rise, investors might increase commodity allocations as a hedge. If growth concerns dominate, they might reduce allocations.
In summary, positioning and fund flows are currently uncertain due to lack of current data. However, the COT data from 2026 suggests that net long positioning can fluctuate and is not extremely crowded. In the current market, the recent price decline may have reduced long positioning, potentially setting the stage for a short-covering rally if bullish catalysts emerge. Traders should monitor COT reports and ETF flow data for confirmation.
4. Cross-Asset Relative Value
The data block does not provide specific cross-asset ratios such as gold-silver, oil-gold, or copper-gold. Therefore, we cannot calculate these ratios or their percentiles. We can only discuss the general framework. Cross-asset relative value is important for understanding the relative attractiveness of crude oil compared to other commodities. For example, the oil-gold ratio measures how many barrels of oil one ounce of gold can buy. A high ratio suggests oil is expensive relative to gold, while a low ratio suggests oil is cheap. Without data, we cannot determine the current level.
Similarly, the copper-gold ratio is often used as a gauge of global growth expectations. Copper is an industrial metal, while gold is a safe-haven asset. A rising copper-gold ratio indicates increasing growth optimism, which could be bullish for oil demand. A falling ratio suggests growth concerns, which could be bearish for oil. Without data, we cannot assess the current signal.
In the absence of specific ratios, we can note that crude oil is part of a broad commodity complex. The US dollar often influences all commodities, but each has its own supply-demand dynamics. For example, gold may be supported by safe-haven demand, while oil is more sensitive to industrial activity. If the dollar is strong, both may face headwinds, but oil could be more affected due to its cyclical nature.
Relative value trades often involve pairs like long oil/short gold or vice versa. Without data, we cannot recommend specific trades. However, we can suggest that traders monitor these ratios for clues about market sentiment. If oil is underperforming gold, it may indicate risk-off sentiment or oil-specific bearish factors. If oil is outperforming, it may signal reflation or supply concerns.
In summary, cross-asset relative value analysis is not possible with the given data. We recommend that traders obtain the necessary data to perform this analysis. It is a valuable tool for understanding the broader market context and identifying potential trading opportunities.
5. Sentiment & News Monitor
The data block does not provide a sentiment score or specific news headlines. Therefore, we cannot quantify sentiment or identify the 48-hour headline bias. We can only state that sentiment is likely mixed, given the recent price action. The sharp drop on 2025-02-12 may have been driven by bearish news, such as a build in inventories or a strong dollar. The stabilization on 2025-02-13 suggests that the bearish news may have been fully priced in, or that some bullish factors emerged.
Without specific news, we cannot comment on the bias. However, we can note that market sentiment is often influenced by headlines related to OPEC+, US shale production, geopolitical tensions, and macroeconomic data. Traders should stay informed about these developments. In the absence of major news, sentiment may be driven by technical factors and positioning.
In summary, sentiment and news monitoring require real-time data, which is not available in the data block. We recommend that traders use news feeds and sentiment indicators to gauge market mood. This can help in timing entries and exits.
6. Historical & Seasonal Patterns
The data block does not provide historical or seasonal data. Therefore, we cannot analyze seasonality or 10-year analogues. We can only state that data is pending update. Seasonality can be an important factor for crude oil, with demand typically peaking in the summer driving season and heating oil demand in winter. However, without data, we cannot determine if current price action is consistent with seasonal norms.
In summary, historical and seasonal analysis is not possible with the given data. We recommend that traders obtain historical price data and seasonal charts to identify patterns. This can provide context for current price movements.
7. Bull/Bear Scenario Analysis
Bullish scenarios:
- If the price breaks above the daily pivot R1 of 71.8534 and sustains, it could target the 2025-02-11 high of 73.32, with further resistance at the 2025-02-12 pivot of 71.92.
- If OPEC+ announces production cuts, it could tighten supply and support prices, potentially pushing WTI above 75.
- If the US dollar weakens due to dovish Fed commentary or weak economic data, it could boost oil prices, as dollar-denominated commodities become cheaper for foreign buyers.
- If geopolitical tensions escalate in the Middle East or other oil-producing regions, it could disrupt supply and cause a sharp price spike.
- If inventories show a significant draw, it could signal stronger demand or lower supply, supporting prices.
Bearish scenarios:
- If the price breaks below the daily pivot S1 of 70.4734, it could target the 2025-02-07 low of 71.00 and then the 20-day low (estimated around 68-69).
- If OPEC+ increases production or fails to cut, it could exacerbate the supply glut and push prices lower.
- If the US dollar strengthens further due to hawkish Fed policy or strong economic data, it could weigh on oil prices.
- If demand concerns intensify, particularly from China, it could lead to lower oil consumption and pressure prices.
- If inventories build more than expected, it could confirm oversupply and trigger further selling.
Near-term balance: The market is currently stabilizing after a sharp selloff. The 5-day change is positive, but the 20-day change is deeply negative. The daily pivot is slightly below the close, suggesting a neutral bias. The ATR is high, indicating potential for large swings. In the near term, we expect the price to remain range-bound between 70.47 and 71.85, with a slight bearish tilt if support breaks. Medium-term balance: The broader trend is bearish, but the market is oversold and due for a bounce. The fundamental backdrop is mixed, with bearish factors like a strong dollar and potential inventory builds, offset by bullish factors like geopolitical risks and potential OPEC+ action. We expect the market to remain volatile, with a potential for a recovery if bullish catalysts emerge. However, if the downtrend resumes, the next major support could be around 65-68.
8. Trading Strategies & Risk Management
Strategy 1: Short-term long on a break above R1. Entry: 71.90 (above R1 of 71.8534). Stop: 70.40 (below S1 of 70.4734). Target: 73.30 (near the 2025-02-11 high). Timeframe: 1-5 days. Conviction: 6/10. Size: 1-2% of portfolio. Rationale: The price is stabilizing above the pivot, and a break above R1 could trigger momentum buying. The risk-reward is favorable, with a potential gain of 1.40 and a risk of 1.50, roughly 1:1. However, given the high ATR, the stop is wide enough to avoid noise.
Strategy 2: Short-term short on a break below S1. Entry: 70.40 (below S1 of 70.4734). Stop: 71.90 (above R1 of 71.8534). Target: 68.50 (estimated 20-day low). Timeframe: 1-5 days. Conviction: 7/10. Size: 1-2% of portfolio. Rationale: The medium-term trend is bearish, and a break below S1 could resume the downtrend. The risk-reward is favorable, with a potential gain of 1.90 and a risk of 1.50, roughly 1.3:1. The high ATR supports a wider stop.
Risk management: Use stop-loss orders to limit losses. Given the high ATR, consider using a volatility-based position sizing method, such as risking 1% of capital per trade. Avoid overleveraging. Monitor news and inventory data for unexpected developments. Consider using options to hedge if volatility is high. Always have a plan for both bullish and bearish scenarios.
9. This Week's Data Calendar
The data block does not provide a calendar for the next 7 days. Therefore, we cannot list specific events. We can only state that data is pending update. Typically, the weekly EIA crude oil inventory report is released on Wednesdays, and the API report on Tuesdays. Traders should also watch for OPEC+ meetings, Fed speeches, and economic data from major economies. Without specific dates, we recommend checking a reliable economic calendar for updates.
This report is generated automatically from public quantitative and macro data for research and market tracking only. It does not constitute investment advice or a recommendation to trade.