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.
Qualitative factor analysis evaluates the non-numerical attributes of an asset or company that influence long-term value — management quality, competitive moats, brand strength, regulatory positioning, and industry trends. While quantitative metrics measure what has happened, qualitative analysis assesses the strategic factors that will drive future performance, providing context that numbers alone cannot capture.
On-chain fundamental analysis examines blockchain data to assess the health, adoption, and valuation of crypto assets. Unlike traditional fundamental analysis that uses corporate financial statements, on-chain analysis leverages transparent blockchain data — active addresses, transaction volumes, exchange flows, holder distribution, and network fees — to evaluate whether a crypto asset is accumulating value or showing signs of weakness.
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.