This paper investigates the relationship between exchange rates and trade performance in Tanzania using a Vector Error Correction Model (VECM) analysis. The background discusses the importance of exchange rates in international trade and how fluctuating exchange rates can impact trade performance. The methodology section explains the research design, model specification, and estimation techniques employed, such as unit root tests, co-integration analysis, and VECM. The findings highlight a long-run positive relationship between exchange rates, foreign direct investment, GDP, and labor forces with trade performance, while inflation rate shows a negative impact. Granger causality tests reveal causal relationships between different variables and trade performance. The conclusions suggest policy recommendations for the government to enhance trade performance through fiscal and monetary policies and encourage further research in the field.