Tag Archives: Statistical Arbitrage

Protecting Trading Profits: What to Do When You’re Well Ahead of Target

June 28, 2026 11:50 am |
Protecting trading profits

Picture the situation. You are a pair trader with a 2% monthly target, roughly 25% a year. You have just posted three months in a row above +4%. It is August. You sit at +27% for the year, and you have already cleared your annual goal with four months still to run. So what is the correct course of action? The honest answer starts with a warning. Protecting trading profits at this stage is mostly a test of psychology, not strategy. This moment is more dangerous than it feels.

Being well ahead pulls you two ways at once.

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Swing Trading vs Day Trading: Which Actually Compounds Monthly Returns With Shallow Drawdowns?

June 8, 2026 12:54 pm |
And What the Death of the Pattern Day Trader (“PDT”) Rule Means for You day trading vs. swing trading

 Most trading careers don’t end in a dramatic blow-up. They end in attrition: an equity curve that grinds sideways with violent swings, a strong month handed back to one overnight gap, an edge quietly eaten alive by spreads and slippage, and a trader burned out from staring at screens for outcomes that never compound.

If that pattern is familiar, the usual question — “which style suits my personality?” — is the wrong one. That’s the amateur’s question. The professional question is colder: which trading style is structurally built to deliver a compounding monthly return,

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What Is Automated Trading? A Simple Introduction to Systems, Strategies & AI

May 3, 2026 10:08 am |
automated trading

As CEO of Equilibria Technologies Ltd., the publisher of PairTrade Finder® software, I’ve spent the last decade helping traders move from manual screen-watching to professional-grade automated trading.

The software was originally created by Jared Mann in Sydney, Australia back in 2008 as a pure statistical-arbitrage tool for serious pairs traders. What started as one man’s code in a Sydney apartment has grown into a complete platform that thousands of traders and institutions have and continue to rely on every day.

So what exactly is automated trading? In plain English, it’s the use of computer programs to execute trades based on rules you define upfront.

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OU Half-Life Filter for Pair Trading

April 26, 2026 9:52 am |
Faster Reversion = Better Profits in PairTrade Finder® UA3

One of the biggest hidden risks in pair trading isn’t finding a cointegrated relationship. It’s trading a pair that reverts too slowly to be profitable before costs, time decay, or market drift eat your edge.

That’s exactly why we’re adding the OU Half-Life Filter to PairTrade Finder® Ultimate Alpha 3. It’s a simple, powerful new layer that tells you how fast a spread will snap back — so you only trade the pairs that can actually make money in real-market conditions.

OU Half-Life Filtering in Pair Trading

Why Many Pairs Fail in Live Trading (Even If They Pass Backtests)

You run the scanner.

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Using Sentiment Scores In Stock Pair Trading

April 18, 2026 6:11 pm |
Filtering Event Risk in Modern Statistical Arbitrage The Real Problem in Pair Trading Isn’t Signal – It’s Classification

sentiment scores in stock pair trading

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:

  • A temporary dislocation driven by liquidity or noise
  • A structural repricing driven by new information

Traditional stat arb models –

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Pair Trading Strategy Enhancement

April 10, 2026 12:11 pm |
Go Hybrid: Mean-Reversion Framework PLUS Technical Bias Filtering pair trading strategy enhancement

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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Kalman Filters vs. PairTrade Finder®

March 26, 2026 3:38 pm |
Why We Keep It Simple (On Purpose) Kalman filters

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.

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

January 20, 2026 9:22 am |

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

October 18, 2025 11:37 am |
pair trading software 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

September 18, 2025 6:07 pm |

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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