How markets actually move — explained without hype, jargon or stock tips.
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Volume is the only signal we have actually backtested. These are the articles on how to read trading activity — what a spike means, what it does not mean, and how to tell real participation from noise.
The definitive reference on unusual trading volume. Cover: what volume is and what it is not; why it only means anything relative to an asset's own normal;
explainA reader sees a stock spike on volume and assumes it means "buy". Explain what volume actually measures, why it must be compared to the asset own normal, a
How to audit any indicator, newsletter or tool before you trust it — including ours. Base rates, overfitting, and the questions that separate evidence from a good story.
A framework anyone can apply to any indicator, newsletter or tool — including ours. Cover: does it claim direction or magnitude; what is the sample size; w
explainMost tools blur two completely different questions. Separating them changes how you read every signal.
explainA year of data, 50 stocks, 10,500 observations. The result was not what we hoped, and we changed the product because of it.
explainAbsolute numbers just rediscover which companies are famous. Here is the rule that fixes it.
Momentum is one of the most documented effects in markets, and one of the most misunderstood. What the evidence supports, how to observe it, and how it fails.
The reference page on momentum. What the academic factor is and the evidence behind it (Jegadeesh & Titman onward); the leading behavioural and structural
explainWhat academic momentum is, why it persists, how a normal person can read it, and where it breaks down (crashes, reversals).
explainThe most-watched line in markets, what it actually measures, and where it quietly fails you.
explainNear highs vs near lows: what each really signals, why "cheap" is not the same as "low", and how position in range maps to strength.
explainComparing an asset against the market instead of against itself. Why beating the index matters more than an absolute gain.
explainCase study style: a stock jumps 28% in 48h on 2.7x volume but sits below its 200-day average. Why the trend frame changes the whole reading.
Earnings, squeezes, options hedging, index flows, sentiment. The real mechanics behind the moves that headlines only describe after the fact.
The honest mechanics: price moves when the balance of willing buyers and sellers shifts, and that is triggered by information, flows, or forced activity. W
explainThe one catalyst you can literally put in a calendar. What happens to volume and implied volatility before and after, why the reaction so often contradicts
explainWhen everyone on social media is bullish, that is information — just not the information most people think.
The same question — is this asset behaving unusually for itself? — applied beyond equities, where the market structure is very different.
What transfers across asset classes and what does not. Cover the structural differences — 24/7 trading with no closing bell, no earnings, futures vs spot,
explain24/7 markets, no closing bell, thinner books, fragmented exchanges and the wash-trading problem. What changes when you apply a volume-anomaly lens to BTC,
Honest comparisons of how a private investor can actually detect unusual activity: scanners, brokers, data quality, and building it yourself.
A genuinely useful, honest comparison of how a private investor can detect unusual activity: broker-native scanners, dedicated screeners, free data sources
explainComparison-style, useful and honest. What to look for if you want access to many markets: instrument coverage, fees, data quality, execution. Mention Inter
Pieces built from our own daily readings across 100 assets.
Today's unusual movers across 60 stocks, cryptos and commodities.
assetMeta Platforms is trading at 1.80× its own normal volume.
briefToday's unusual movers across 60 stocks, cryptos and commodities.
assetEthereum is trading at 4.18× its own normal volume.
briefToday's unusual movers across 60 stocks, cryptos and commodities.
assetSuper Micro Computer is trading at 3.35× its own normal volume.