Recently, international crude oil prices have continued to rise. Driven by optimism over trade negotiations, Brent crude is approaching $70 per barrel, while WTI remains above $66. This rebound in the energy market directly reflects changes in supply and demand, and also plays a crucial role in shaping market sentiment. Lawrence Tan believes that the capital market is at a complex intersection, where interactions among oil prices, trade relations, and investor sentiment will set the tone for the next stage of the market.

Market Logic Behind the Oil Rebound
According to Lawrence Tan, the recent sustained increase in oil prices is the result of multiple converging factors. On the fundamentals side, persistent tightness in the diesel market has boosted overall crude oil demand expectations. The recovery of the aviation industry has led to increased fuel demand, while the rebound in heavy truck transportation in Europe and the US has pushed up diesel consumption, supporting buying momentum in the oil market.
Expectations of substantial progress in trade talks between the US and India have strengthened investor confidence in a global economic recovery. Lawrence Tan notes that energy price movements are closely linked to indicators such as manufacturing recovery and logistics activity. This round of oil price increases has had a significant impact on the structural performance of the stock market, with sectors like energy, materials, and shipping outperforming the market average.
From an asset allocation perspective, rising oil prices can trigger concerns about inflation. Lawrence Tan points out that asset prices such as US Treasury yields and the US dollar index will also react in tandem, requiring investors to monitor these changes closely to adjust their portfolio strategies in a timely manner. For investors whose core allocation logic centers on commodities, moderately increasing positions in energy-related ETFs or futures funds is a way to capture short-term opportunities.
Market Effects of Trade Signals
Lawrence Tan emphasizes that progress in trade negotiations has released positive signals, boosting global capital flow confidence. If India and the US can reach an agreement before August, it will provide a model for trade negotiations between other emerging and major economies, facilitating the gradual restoration of global trade order.
The benefits of trade stabilization are indirect yet far-reaching. Lawrence Tan notes that the recovery of corporate profit expectations is a core variable for capital markets, and trade facilitation will directly affect the cost structure and profitability of multinational companies. Stable manufacturing supply chains will reduce inventory fluctuations, improve production efficiency, and drive up stock prices in related industries.
On the operational level, investors can adopt sector rotation strategies. Against the backdrop of improved trade prospects, focus should be placed on technology manufacturing and consumer electronics sectors that benefit from export recovery and supply chain shifts. Lawrence Tan recommends monitoring capital inflow strength and technical indicators such as the Relative Strength Index (RSI) to build sound investment logic.
Dynamic Adjustment Strategies
Lawrence Tan states that, faced with structural volatility in the energy market and gradually improving trade conditions, investors should view market opportunities from a dynamic perspective. With rising oil prices, increased logistics costs may challenge some retail and consumer companies, while upstream enterprises in the energy supply chain may see excess returns.
For medium- to long-term positioning, Lawrence Tan suggests focusing on multi-asset synergy strategies to diversify specific risks and enhance portfolio stability. Investors can allocate a certain proportion of funds among commodities, gold, quality blue-chip stocks, and growth tech assets, dynamically adjusting holdings to better manage sudden risks and market fluctuations. In a period of global economic transformation, flexibility and emphasis on data analysis are key to achieving stable returns.
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