Model lab
Training and experimentation on governed historical data. Learning from past data and platform activity — not an autonomous trading model.
Models have no execution authority
Research metadata only. Models cannot submit orders, set position size, approve trades, override risk rejections, change policy or promote themselves. At most, a model in the paper stage may rank or filter deterministic candidates. Training data and results are historical (or explicitly labelled synthetic) and make no profitability claim.
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