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SIGNAL ATLAS

Starting with LINK · Research beta

See what changed.Understand why.

Short crypto market notes, delivered in Telegram. Each note is the last step of a long pipeline: exchange data, on-chain transfers, sentiment on X and recorded market cases, read together so you don't have to.

  • 3 free notes
  • No forms, no card
  • Not financial advice
  • Binance spot
  • Perp futures
  • Liquidations
  • Ethereum
  • Arbitrum
  • Solana
  • Posts on X
Signal AtlasbotExample · past case

LINK / USDT19 Aug 2026 · 19:40–21:40 UTC

Price up. Positions out.

Price
+6.4%
Open interest
−3.6%
Shorts liquidated
$1.23M

Why it matters

The rally came with futures positions closing, not opening. Shorts covering carried much of the move.

Watch next

Whether new positions open while price holds the level.

Read across 4 sources1 time window
Mark priceevery second
Liquidationsevery one archived
On-chainEthereum · Arbitrum · Solana
Sentimentposts on X, scored by a language model
Researchreal market moves, recorded and replayed

How a note is made

A lot happens before one short message.

You read one screen. Behind it, six stages narrow a flood of market data down to what changed and why.

  • Liverunning today
  • In researchbeing built on LINK
  • At launchswitches on with the bot
  1. Market data

    Live Raw streams

    The market, collected as it happens.

    • Binance spot & futures candles
    • Mark price every second
    • Trades and liquidations
    • Large transfers on Ethereum, Arbitrum, Solana
    • Posts on X
  2. Four analysis engines

    Live Scores & market states

    Each kind of data gets its own specialist.

    • TechnicalIndicators and ML models on 15m, 1h and 4h charts
    • On-chainLarge transfers and the wallets behind them
    • Futures positioningBias, participation, crowding and stress
    • SentimentA language model fine-tuned on crypto posts
  3. Recorded market cases

    In research · LINK Known patterns

    Real market moves are recorded and replayed through all four engines at once, then studied for what came before them.

    26 recorded LINK windows  ×  4 sources  ·  5m and 15m

  4. Cross-check

    At launch Candidates

    Signals on the same asset are lined up in the same time window. Independent sources that agree count for more than any one alone.

  5. Second opinion

    At launch Reviewed

    The strongest candidates get a second read from a language model before anything is sent.

  6. Your note

    One screen

    Short and plain. The data stays behind it.

    • What changed
    • Why it matters
    • Watch next
Research note 00119 Aug 2026 · 19:40–21:40 UTC

Price up.Positions out.

Inside a LINK short-squeeze case study

LINK price, 2 hours
+6.4%
Open interest
−3.6%
Short liquidations
$1.23M

A rally with falling open interest. What was happening beneath the price?

Historical analysis · Not a live call

How we research

Every pattern starts from a real market move.

  1. 01

    Record the move

    A real LINK move is saved as a time window, with the hours around it.

  2. 02

    Replay every source

    Price, futures positioning, on-chain transfers and sentiment are replayed for that same window.

  3. 03

    Write down what came first

    What moved before the price did becomes a pattern to test on the next case.

26 recorded LINK windows so far, each replayed across 4 sources at 5-minute and 15-minute resolution.

Explainers

The same questions, one card at a time.

What changed, what supports it, and what stays uncertain — the shape every note follows, drawn out one idea per card.

Illustrative explainers and product previews. Source coverage varies; parts of the pipeline are still in development.

Coverage

One asset first, covered properly.

LINK

/ USDTResearch beta
Market data
Binance spot & perpetual futures
On-chain
Large LINK transfers
Sentiment
Posts on X
Research
26 recorded market windows

Next

More assets are added once research covers them. Tell us which one you want next.

Request an asset

Under the hood

The numbers the note never shows you.

One short message hides a lot of machinery. These are the real thresholds, labels and checks it runs on — taken from the services themselves.

  • 3chains

    Read from the chain, not a summary

    Ethereum, Arbitrum and Solana are watched directly through an RPC provider, so a transfer is seen as the network saw it.

    Live

  • $1M

    The size that gets noticed

    A single transfer has to clear a million dollars before the on-chain engine spends any attention on it.

    Live

  • S → C

    Wallets carry a reputation

    A wallet is graded on how it behaved in earlier moves, not on what it is labelled. The grade decays and is earned again.

    Live

  • 4axes

    Positioning is a state, not a number

    Perpetual-futures data is labelled on four axes at once — bias, participation, crowding and stress — because one of them alone misleads.

    Live

  • 6detectors

    Six ways futures go strange

    Funding stress, open-interest spikes, liquidation cascades, basis stretch and two more each have their own detector, so the note can say which one fired.

    Live

  • 15m · 1h · 4h

    Three timeframes, all trained

    A 5-minute model exists in the code and has never been trained, so it publishes nothing. An untrained model is worse than no model.

    Live

  • one file

    A moment, replayed everywhere at once

    Pick a symbol and a time range and all four engines re-read that exact window in parallel — candles, futures state, on-chain transfers, posts on X — and hand back a single file. That file is what a recorded market case is made of.

    In research

  • +1h · +4h · +24h

    Every call is re-checked

    A published note is measured against the price at three later points, and the result is written down whether it flatters the system or not.

    At launch

  • 2buttons

    A human can overrule it

    Useful and Not useful sit under every note. In the report the human verdict beats the automatic grade, not the other way round.

    At launch

  • unavailable

    It says when it does not know

    The exchange keeps no history of perpetual liquidations, so the system records them as they happen. Ask for a window from before it started listening and the answer isunavailable — never a guess filled in after the fact.

    Live

Figures describe how the system is built, not how well it performs. Nothing here is a forecast or a claim about returns.

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  2. 2

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  3. 3

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Follow the research as it's written.

Research notes, market basics and product updates. The channel also holds the payment addresses and the support contact.

Channel post, Market Basics 001: Price is only part of the story. Volume adds context to the move.
Market basics
Channel post: More context. A clearer market view. Market observations, evidence explained, research updates.
Meet the project

Questions

Before you open the bot.

Is this financial advice?

No. A note describes what changed in the market and the data behind it. What you do with it, and the risk, stay with you.

Which assets do you cover?

LINK today. More assets are added once research covers them.

Where does the data come from?

Binance spot and perpetual futures markets, transfers on public blockchains, and posts on X.

What happens after 3 free notes?

The bot asks you to subscribe. Nothing is charged automatically.

How do I pay?

In crypto. Addresses are pinned in the Telegram channel. Send the transfer details to support and your access is turned on.

Three notes on us.See if they help.

3 free notesLINK · Research beta
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