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OpenKol is built on public data and deterministic rules. Every analysis is derived from:
  • public post metadata (social)
  • market data (on-chain/DEX context)

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Social sources

OpenKol analyzes public posts from:
  • X
  • Telegram
Posts are normalized into a common schema so scoring is consistent across platforms. Typical normalized fields include:
  • author / handle
  • timestamp
  • engagement counts (views, likes, reposts, replies, etc. where available)
  • content text (for symbol extraction)

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Market data sources

OpenKol pulls market data from a DEX analytics provider for:
  • token and pair discovery
  • liquidity snapshots
  • OHLC candles across multiple resolutions (e.g., 5m → 1d)
This market layer is used to compute:
  • ROI and drawdowns after the call timestamp
  • durability/time-above thresholds
  • liquidity context at call time

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What is not used

  • No private signals
  • No manual “override scoring”
  • No hidden adjustments
OpenKol’s goal is verification you can reproduce and share.