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Simone

Simone combines fixed indicator math with LLM interpretation on Locimens.

Simone

Simone combines LLM reasoning with fixed indicator math. Chart snapshots (for example LinReg, UT Bot, Bollinger width state) are computed in code — the model interprets JSON facts instead of inventing indicator values.

What Simone does

  • Pulls MT5 candles and builds a compact snapshot per symbol/timeframe
  • Uses that snapshot in analysis, plans, and owner chat
  • Can report LLM usage; supports Telegram owner messages when enabled

Before you run

  1. MT5 logged in with your symbols available
  2. Header model set
  3. Open Agents → Simone and Start if stopped

Typical workflow

  1. Confirm process Running
  2. Pick symbol/context and run analysis or chat
  3. Read the structured snapshot plus Simone’s interpretation
  4. Treat outputs as decision support until validated on demo
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