Tag Archives: Statistical Arbitrage

Beating the S&P 500 Without Market Direction: Inside Equity Market Neutral Trading

Most traders intuitively understand that returns mean very little without context. What ultimately matters is how those returns are generated, the drawdowns required to earn them, and whether the strategy survives hostile market environments.

That is precisely why equity market neutral (EMN) trading strategies have been a core allocation for institutional capital for decades—and why they are now becoming accessible to sophisticated retail traders.

In this post, we’ll walk through a real institutional dataset, compare it directly to the S&P 500, and then run a simple but powerful thought experiment: what happens if a retail trader applies modest leverage—available today at Interactive Brokers—to an institutional EMN return stream?

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Why Pair Trading Software May Be the Smartest Retirement Strategy Left

The Retirement Crisis No One’s Solving

Retirement used to be simple.

Work 40 years, collect a pension, and enjoy your golden years. But that model is breaking — and fast. For the first time in recorded history, there are now more people over the age of 65 than under 5. This demographic inversion isn’t a blip. It’s a megatrend reshaping the global economy.

In regions like the EU, Japan and South Korea, fertility rates have dropped below 1.4 — far below the replacement rate of 2.1.

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Our PTF USA Equities Statistical‑Arbitrage* Research Account – An Inside Look. +17.4% Return, Max DD -3.6%, Sortino 3.8. 431 closed trades in 7.4 months

Since the start of 2025, the PTF USA Equities Statistical‑Arbitrage* Research Account has been quietly building a disciplined, data‑driven edge in the crowded world of U.S. equities. Leveraging the proprietary PairTrade Finder® Ultimate Alpha 3 engine, the fund monitors ≈ 136 liquid U.S. equity pairs on a real‑time basis, automatically generating and executing trade signals without human discretion. The result is a pure statistical‑arbitrage strategy that isolates relative‑value mispricings, captures mean‑reversion dynamics, and does so with tight risk controls.

Core Pair Selection Methodology & Backtest Filters

Our selection criteria mirror the parameters disclosed on the public PairTrade Finder® autoload page (www.pairtradefinder.com/autoload.html).

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