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Investment Strategies & Instruments

Algorithmic Trading Strategies for 2026: The Complete Guide

Algorithmic trading is "virtually ubiquitous" in US equity markets, in the SEC staff's words, and cheap compute, open-source libraries and accessible data APIs have put the same tools within retail reach. Every algorithmic strategy has five components: signal, position sizing, execution, risk control and monitoring. Backtesting decides whether the first one is real.

Investment Strategies & Instruments

Which Algorithmic Trading Strategies Are Actually Profitable? Evidence, Costs and a Backtest (2026)

No algorithmic trading strategy is profitable in itself. Trend following, momentum, mean reversion and pairs trading each have published evidence, but whether an edge survives depends on costs, capacity and out-of-sample testing. On 33 years of SPY data, a breakout rule this article once recommended returned 3% a year; a 10-month moving average kept most of the index return at half the drawdown.

Risk Management & Macroeconomics

Crisis-Proof Investments: What Defensive Sectors Saved in Four Crashes, and What They Cost

Consumer staples and healthcare fell less than the S&P 500 in all four bear markets since 1999, but a defensive basket trailed the market by 15 to 30 points in the year after each low and compounded at 7.75% a year against 8.68%. Holding a fixed defensive weight cost little; switching into defensives after a 20% fall cost about a fifth of the final sum.