Chapter 1
Introduction
AlgoLens is a multi-chain memecoin scanner. It watches every supported chain continuously, scores every token it finds against a fixed rule set, refuses to promote anything it cannot verify, and then tracks the outcome of every call it makes so you can see whether the method is actually working. This manual explains all of it.
1.1Read this first
AlgoLens does not tell you what to buy. It tells you what survived a checklist that most tokens fail.
A STRONG BUY card means: this token's trading activity, liquidity, age, market cap, holder distribution and contract permissions all cleared their thresholds simultaneously, and an independent security check confirmed the liquidity is locked and the mint authority is dead. That is a filter, not a forecast. Most memecoins that pass every check still go to zero, because “not a scam” and “will go up” are unrelated properties.
What the scanner is genuinely good at is the opposite job — removing the large majority of the board that is bundled, botted, wash-traded, rug-armed or already over. Your edge is what you do with the survivors.
1.2How the manual is organised
Chapters two through four get you productive on the board itself. Chapters five through seven cover the score, the security gate and the bot checks — what each of them measures and how much weight to put on it. Chapters eight through ten cover the calls ledger and the honesty rules built into it: how a call is graded, and how the scanner is made to report its own record. The reference chapters at the end cover plans, failure states and vocabulary.
If you read nothing else, read Chapter 3 — The signal card and Chapter 5 — The scoring engine.
Introduction
What AlgoLens does, what a green card actually means, and how this manual is organised.
Chapter 2Memescope
The live board: the Market Pulse bar, the three lanes, and how cards are ordered inside them.
Chapter 3The signal card
Every row on a card — score, composition bar, metrics, momentum, risk strip, ATH bar, actions.
Chapter 4Controls & filters
The toolbar, contract lookup, density, header readouts, settings and scan history.
Chapter 5The scoring engine
What the 0–100 score measures, how to read the composition bar and the chips, and what it never claims.
Chapter 6The security gate
The pass / warn / fail verdict that stands between a high score and the Strong Buy lane.
Chapter 7Bot detection
What the Real tile checks, the chart patterns it names, and what running the check by hand does to a card.
Chapter 8The Calls tracker
How a call is opened, the three buckets, the call card, the win rail and the stats strip.
Chapter 9Call lifecycle
Peak verification, dormancy, delisting, retention, and retiring a token by hand.
Chapter 10Alerts & backtest
Every alert the ledger can raise, how delivery is configured, and the scorer backtest.
Chapter 11Plans & limits
What each plan changes on the board, and what it never changes.
Chapter 12States & troubleshooting
Every empty state, stalled readout and error message, and what to do about it.
Chapter 13Glossary
The vocabulary the board uses, defined once.
1.3Conventions used here
- Values in this style are printed exactly as the interface prints them — a threshold, a state name, a label on a control.
- Green, yellow and red always carry the same meaning as they do on the board: cleared, uncomfortable, and disqualifying.
- Every figure the interface shows you is explained here — what it measures, how it is coloured, and what to do about it. The individual rules, weights and thresholds behind the score are not published; the card's own “Why this score” panel is where you see what moved a particular token.
AlgoLens user manualChapter 1 · Introduction