News trading is a fundamental analysis-based strategy that capitalizes on market movements triggered by economic announcements and financial reports. The release of key statistical data significantly influences investor sentiment, leading to price surges or declines depending on whether the news meets, exceeds, or falls short of expectations.
The primary tool for news trading is the economic calendar, which lists scheduled financial reports and economic events. Traders place pending orders in both directions shortly before a news release to capture sharp price movements. If the reported data is better than forecasted, asset prices typically rise; if worse, they decline. The trade is closed once the momentum fades or reversal signals appear.
News trading is considered a high-risk strategy due to the following factors:
Returns depend on the market reaction's depth and duration. On average, traders can gain 30-80 pips within 1-4 hours.
News-related volatility typically lasts 3-5 candles on an H1 chart. Occasionally, significant reports—such as global GDP forecasts—can initiate long-term trends, as seen during the pandemic when weak economic outlooks triggered extended stock market declines.
✅ Pros:
❌ Cons:
News trading is a high-risk, high-reward strategy that requires real-time information, quick decision-making, and strong risk management. Traders who can effectively interpret economic data and anticipate market sentiment shifts can capitalize on sharp price swings and short-term volatility spikes. However, due to the inherent unpredictability, beginners should exercise caution and practice on a demo account before engaging in live trades.
Need a hand tightening up your digital strategy and planning out your product roadmap? Whether you’re public or private, we’re here to help. Get in touch with René, our Managing Director
Book a chatNeed a hand tightening up your digital strategy and planning out your product roadmap? Whether you’re public or private, we’re here to help. Get in touch with René, our Managing Director
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