How Funding Works on Perpetual Futures
Perpetual futures never expire, so funding payments pull them toward spot. The formula, who pays whom, and what it costs on a real position.
Long reads built on primary sources: peer-reviewed research, official exchange documentation and regulators. Every number has a source; quotes are checked against the original.
Perpetual futures never expire, so funding payments pull them toward spot. The formula, who pays whom, and what it costs on a real position.
A study of 29 exchanges found wash trading above 70% of reported volume on unregulated ones. The tests it used and what it means for traders.
The Kelly formula from Edward Thorp's paper applied to a trade with a stop and a target, and why half Kelly is the practical choice.
A backtest on the current coin list ignores every dead coin. What Brown, Goetzmann, Ibbotson and Ross showed, with an example and a checklist.
Open interest counts contracts still open, not trades. How it changes, how to read it with price, and what research on futures markets found.
Slippage has two parts: walking the order book and the price move your order causes. What the research says, with a worked order book example.
Three landmark papers explain why a great backtest is usually a statistical accident, and what to do: out-of-sample tests and a higher bar.
Price gaps between crypto exchanges are real but rarely free money. What the Journal of Financial Economics found and the costs that keep spreads open.
The exact trigger of a Binance futures liquidation, why the mark price matters, and how to estimate your liquidation price at 5x to 100x leverage.
The blog publishes long reads about market structure, derivatives, testing trading ideas and order flow. Articles are built on primary sources: peer-reviewed papers in journals such as the Journal of Financial Economics and the Review of Financial Studies, official documentation of exchanges, and publications of regulators and recognized research institutions. We read the original, check every quotation against it and cite it at the end of the article.
We do not publish news, price predictions, sponsored reviews, rewritten forum posts or lists of "best indicators". If an article states a number, the number has a source listed at the end of the article, and you can open it yourself.
Research covers large tests: the Quasimodo pattern over a year of data, long histories on higher timeframes, regimes and coin selection. Backtesting and overfitting explains how good-looking results are produced by chance and how to protect yourself: out-of-sample checks, the number of variants tried, forward tests with criteria written in advance. Order flow looks at delta, CVD, footprint and the order book with tick data. Market structure defines swings, BOS, CHoCH, order blocks, fair value gaps and liquidity precisely. Arbitrage covers price gaps between exchanges and what it takes to capture them after fees and transfers.
Every article starts with key takeaways, so you can see the conclusion in a minute. Numbers in the text link to notes and to a list of sources at the end. We explain the method behind a finding, not just the headline number, and we say where the evidence is weak. Articles are updated when new data changes the conclusion, and the update date is shown next to the publication date.
A quotation appears only if we have read it in the original source, and it is attributed to its authors with the publication and year. Our own numbers come with the sample size and, where it matters, the error band. We prefer short, checkable claims over sweeping ones, and when a result depends on an assumption, such as the fee level, we show how it changes when the assumption changes.
The OrderBlock.net research team, the same people who build the scanner. Every article is based on primary sources, which are listed at the end.
No. They are research and education. Results on history do not guarantee future results.
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Yes, write to us on Telegram. Topics that can be checked on data are the most likely to become an article.