Pair trading is often framed as a statistical exercise: identify a spread, measure its deviation, and trade the reversion. But in practice, the real challenge is not finding divergence – it is correctly interpreting it. This problem is where using sentiment scores in stock pair trading comes in to play.
A widening spread can mean one of two things:
Traditional stat arb models –
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Pairs trading remains one of the most widely used market-neutral strategies, built on the principle of exploiting mean reversion in a spread constructed from two related assets. However, traditional implementations—typically based on cointegration tests and z-score entry/exit thresholds—face well-documented limitations, including instability across regimes and declining profitability in modern markets (Tenyakov & Mamon, 2017). So in this blog post we suggest our own pair trading strategy enhancement: combine cointegration and z-score based trading signals with refined technical trading indicators to create a Relative Edge indicator.
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From time to time, experienced traders reach out and ask:
“Why doesn’t PairTrade Finder® use a Kalman filter to calculate dynamic hedge ratios?”
It’s a fair question. Kalman filters are widely used in quantitative finance and are often presented as a more advanced way to trade pairs.
So this post explains our thinking clearly.
PairTrade Finder® is designed to capture most of the statistical edge—without the complexity that often reduces real-world performance.
In practice, as a rule we seek to target a platform that delivers 80% of the benefit of institutional grade models with around 20% of the complexity.
… Read More →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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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.
… Read More →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 FiltersOur selection criteria mirror the parameters disclosed on the public PairTrade Finder® autoload page (www.pairtradefinder.com/autoload.html).
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