Backtesting Foundations for International Equities When you backtest a cross‑border equity idea, the temptation to trust a glossy equity‑cur

Backtesting Foundations for International Equities When you backtest a cross‑border equity idea, the temptation to trust a glossy equity‑curve is strong. The discipline lies in asking three questions before you celebrate a win: Is the sample size sufficient to survive statistical noise? Are the data points free from survivorship or corporate‑action bias? Does the test respect the liquidity and macro regime that will exist when you trade? Sample Size: The Statistical Bedrock Rule of thumb: aim for at least 30 completed trades per side (long and short) and a minimum of two calendar years of data. For a momentum screen...