How to Score Politician Trading Performance From Disclosure Data
Naive politician leaderboards mislead because they ignore ranged sizing, disclosure-date entry, and benchmark adjustment. Here is how to score filers by real skill.
Analisis pasar, pembaruan produk, dan strategi perdagangan dari tim Blockcircle.
Naive politician leaderboards mislead because they ignore ranged sizing, disclosure-date entry, and benchmark adjustment. Here is how to score filers by real skill.

One number summarises how much of an alt book is a single factor in disguise. At the pairwise correlations currently printed on the correlations tab, that number lands near 90 percent.
A forensics checklist for thin markets. How to read the LP, the buy clusters, and the deployer-linked wallets so you can tell an engineered pump from real accumulation.

A delisting row is keyed on a pair, so it tells you a book is closing and nothing about whether the token still trades. The three cases behind one row, and the check that separates them in five minutes.
A lot of what looks like support or resistance in the order book is just a quote someone put there to be seen, not filled. Here is how to tell the difference before you trade against it.
Most chart patterns look great in hindsight because the eye picks the ones that worked. Here is what survives when you define them mechanically and count every case.
A parameter change to a trading bot is a deployment. Here is a lightweight change-management process for versioning config, validating it, and rolling it out at reduced size first.

An unlock date is not a uniform supply event. Decompose the tranche by recipient class, estimate a sell fraction from prior cliffs on the same schedule, and hedge the expected float rather than the headline.
Two global M2 charts rarely agree, and half the reason is FX conversion hiding inside them. Here is how to build one you can actually reason about before you trade on it.

With no earnings there is no multiple, so the model has to be built from one customer upward. Unit economics, contribution margin and a terminal margin, worked through in round numbers.
Most seed backups fail one of three tests: fire, theft, or you forgetting how the scheme worked. Here is how to design a backup that survives disaster without adding new single points of failure.