Token scoring system

The CoinSense Token Scoring System gives users a deeper signal on where market attention is likely headed next — beyond simple wallet inflows.

Unlike raw netflows, Score factors in both who is buying and how much they’re buying — making it a powerful indicator of future social amplification and price movement.

When a high-authority influencer buys a token, there’s a strong probability they’ll later promote it on social channels — often triggering wider market interest. The Score captures this dynamic and makes it actionable.

Example how bigger score changes are reported in CoinSense

How Score Is Calculated

Score is an aggregated value over a set time window, combining:

  • Amount of tokens bought/sold

  • Token value (USD) of buys/sells (sells count as negative to score)

  • Authority of the wallet/influencer

    • For influencers: based on verified authority score

    • For smart money wallets: based on wallet history and impact

  • Recency — more recent buys/sells have higher weight

Example: If a small wallet sells $1K but a top influencer buys $1K of the same token, netflow is $0 — but Score will still be strongly positive, reflecting the real potential market impact.


Why It Matters

  • Predictive Power — Score consistently outperforms raw netflows, especially for long-term signals

  • Market Attention Indicator — helps surface tokens likely to trend on social in coming days/weeks

  • Cleaner Signals — avoids noise from small wallets or non-impactful flows


Where You’ll Find Score Alerts

Dedicated Score Alert Sections:

  1. Alerts Raw — all large Score changes across tokens

  2. Fresh — Score alerts on tokens < 14 days old

  3. Under Radar — large Score moves on tokens > 14 days, market cap < $10M

  4. Blue Chips — large Score moves on tokens > 14 days, market cap > $10M


Bot Commands and Endpoints Impacted:

  • top_accumulations

  • worst_tokens

  • fresh_tokens

  • young_tokens

  • top_smw_wallet_changes


In short — Token Score gives CoinSense users an edge in predicting which tokens will catch fire next — before the crowd sees it.

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