Futures
2026
Same name, different data: the CoT goes twice per week
The CFTC will publish the Commitments of Traders report twice per week from the end of 2026. The series keeps its name, but the day it describes, the delay before it's public, and the number of rows in a year all change. A backtest built on the weekly report has been testing that structure as well as the rule.
The Treasury auction cycle, out of sample
Lou, Yan, and Zhang found that Treasuries cheapen in the days before an auction and recover after it. In Treasury futures from 2010 to 2026, the daily gaps around the late-month auctions line up with the month-end rally, and a trade on the month-end calendar alone did better. Intraday, the futures still move by about half a basis point of yield around the close of bidding, but no intraday trade we tested shows a reliable profit after a tick of cost per round trip.
Ten things about markets that seem obvious
We took ten things traders take for granted, from gold as a safe haven to copper as a guide to stocks, and tested them on 16 years of data in 19 futures markets.
Do levels at round numbers hold?
Traders treat round prices as support and resistance. In 16 years of one-second data in six CME futures, price that reaches a round level goes through it more often than price that reaches an ordinary one, and least often turns back one tick past it. Approaches to round levels also seem to stall short of them a little more often, though that result is less firm. We checked the findings tick by tick, against placebo levels, and a dozen other ways.
Rolling your own futures contracts
A continuous futures series is a chain of expiring contracts joined by somebody's rules. Here's what those rules are, what goes wrong when you take them on trust, and how to build and check a series of your own.
Where your data bars come from
· Updated
Equity data is reported, under rules written in 1975 and rewritten in 2005, and is changing again on 6 December 2026.
Why market data is harder than you think
· Updated
The hidden decisions in your market data can change your signals, your position sizes, and what your backtest appears to prove.
From papers to positions: what four AI models found reading 468 academic studies
A blind panel of four frontier language models each read 468 academic trading papers and independently converged on the same short list of futures-tradable ideas. This sets out what they agreed on, where they split, and what survived an adversarial fact-check.
The lie hidden inside daily bars
· Updated
Many aspiring traders are told that using daily bars is good enough for all but short-term intraday strategies. We tested the guess many backtesting engines make about the path inside a daily bar against 16 years of one-second data in six futures markets. It gets the order of the high and low right four days in five, as it would on a random walk, but for a stop and a target near the entry it's close to a coin toss, and it flatters the tight-stop, wide-target brackets an optimiser is drawn to.