Macro trading uses macroeconomic data — GDP, inflation, interest rates, employment, and central bank policy — to establish directional biases across currencies, equities, bonds, and commodities. Traders position for large economic regime shifts rather than intraday noise, using fundamental catalysts as the primary edge.
Interest rate differentials and carry trades. GDP growth divergence between economies. Inflation dynamics (CPI, PCE) and real yields. Central bank forward guidance and dot plots. Global liquidity cycles and risk-on / risk-off regimes.
Central bank policy pivot (hawkish-to-dovish or vice versa). Major inflation surprise vs consensus. Yield curve inversion or steepening. PMI / ISM divergence signals turning point. Fiscal policy shock (stimulus or austerity).
Positioning consensus reaches extreme (COT data). Macro thesis invalidated by data (e.g. inflation re-accelerating vs bet on cuts). Price reaches macro-level support/resistance or key measured move target.
Daily, Weekly, Monthly — macro trades are typically swing or position trades lasting weeks to months.
Macro trading requires patience and conviction. Don't over-leverage — these trades take time to play out. Always know the economic calendar inside out and keep a bias journal that tracks your thesis vs incoming data.
Earnings and valuation analysis evaluates a company's financial performance and market pricing to determine whether its stock is undervalued, fairly valued, or overvalued. By examining revenue growth, profit margins, earnings per share, and valuation multiples such as price-to-earnings and price-to-sales ratios, traders and investors can assess whether the current market price is justified by fundamentals.
Intermarket analysis studies the correlations and divergences between asset classes — equities, bonds, commodities, currencies, and crypto — to gain a macro edge. When relationships that normally hold start breaking down, it often foreshadows major market regime shifts. Traders use these cross-market signals to confirm or contradict setups in their primary market.
Value investing identifies assets trading below their intrinsic or fundamental value and holds until the market recognises the discount. In traditional markets this means studying P/E ratios, discounted cash flows, and book value; in crypto it extends to token economics, revenue-generating protocols, and fully diluted valuation analysis.
Event-driven trading capitalises on price dislocations caused by scheduled and unscheduled catalysts — earnings announcements, FOMC meetings, governance votes, protocol upgrades, token unlocks, mergers, and geopolitical shocks. The edge comes from correctly anticipating the event's impact or exploiting the volatility expansion around it.