Transparent,
rule-based
crypto analysis.

Coinblockers is an independent educational publisher. We run a single, rule-based scoring model over the most liquid crypto assets and publish everything it sees — the score, the reasoning, and the trades a paper-trading engine would have taken — so you can learn how a disciplined process reads a volatile market. We do not custody assets, route orders, or sell a “signal subscription.” There is nothing to buy here.

How the composite score works

Each asset gets a 0–100 composite score blended from four independent factors: technical structure (RSI, MACD, moving-average position), momentum (multi-timeframe price action), market context (24-hour change, volume, and how the asset moves relative to Bitcoin), and social sentiment. The score is rule-based and fully deterministic — the same inputs always produce the same number — so it can be audited rather than taken on faith. A high score is not a price prediction; it describes how an asset looks against the model’s rules right now.

How to read a signal

A BUY label means the composite score and trend filter aligned under the model’s rules; an EXIT label means a position the engine held has hit a rule-based stop or target. Every entry, exit, and skipped opportunity is logged on the virtual engine, which trades on $10,000 of simulated capital against real prices — so the losing trades are on the record next to the winning ones. The full scoring method is documented on the methodology page, and the risks of acting on any of it are spelled out under risk.

This is education, not advice

Everything on this site — scores, signals, virtual-engine positions, and HODLer figures — is hypothetical and for educational illustration only. Past performance, real or simulated, does not guarantee future results. Crypto-asset markets are highly volatile and you can lose your entire investment. Nothing here is personalised investment, legal, or tax advice; consult a qualified, licensed professional before making financial decisions. If you want the longer-form reasoning behind the method, start with the Learn articles.