How to Use an Economic Calendar
Understanding the Economic Calendar
An economic calendar displays upcoming economic data releases, central bank meetings, and other financial events in a date-ordered format. Each event shows the country, time (usually in UTC or GMT), expected value, previous value, and actual value once released. For Malaysia traders, it's essential to set the calendar to Malaysia time (UTC+8) and filter by country to see local events like BNM Overnight Policy Rate (OPR) decisions, Malaysia CPI (inflation), and Malaysia trade balance.
Interpreting Impact Levels
Events are typically marked with impact levels: low, medium, or high. High-impact events (e.g., US interest rate decisions, BNM policy statements) can cause significant volatility in currency pairs involving USD/MYR or other major pairs. Medium-impact events (e.g., Malaysia industrial production) may cause moderate movement. Low-impact events (e.g., German PPI) usually have minimal effect. Focus on high and medium events for trading opportunities.
How to Read the Data
Each event shows the forecast (expected value), previous (last release), and actual (new data). If the actual value differs significantly from the forecast, the market may move sharply. For example, if BNM raises the OPR unexpectedly, MYR may strengthen against USD. Use this information to decide whether to enter a trade before or after the release. Many Malaysia traders use a 'news trading' strategy: waiting for the actual data to be released, then trading in the direction of the surprise.
Setting Alerts and Planning Trades
Most economic calendars allow you to set email or SMS alerts for specific events. As a Malaysia trader, set alerts for BNM decisions, US Non-Farm Payrolls (NFP), and Federal Reserve meetings. Before the event, plan your trade: decide on entry price, stop-loss, and take-profit levels. For Islamic accounts, avoid holding positions over interest rate announcements if you are concerned about swap charges. Use the calendar to schedule your trading sessions around peak volatility.