LEARN/THE TWO LOOPS

The two loops

The word training means two different things here. One kind trains the market model. The other kind trains a strategy against a market that exists. Most people need only the second kind.

LOOP A

Calibrate the market model

map the space Atlas survey then confirm disjoint seeds then gates thirty seeds then overfitting control
emits
preset pt-v14, frozen A complete set of coefficients with one name. Change any of them and the set gets a new name.
the realism envelope Attached to the preset. Bounds what a result may claim.
cited by, and bounds
LOOP B

Evaluate a strategy or agent

write a strategy or train a policy then evaluate many seeds then paired sign test across seeds

Nothing travels back. If you tune the market on the results of a strategy, you put the edge of that strategy into the world that then measures it.

Which loop you are in decides what you read

Test a trading strategy B Running a market
Train a reinforcement-learning policy B The RL environment
Know what your result depends on A Atlas
Fit coefficients to your own data A Atlas
Know what the market reproduces neither The realism envelope

What the envelope adds

The preset carries a measurement with it. pt-v14 holds all fourteen realism statistics inside their real-market bands at the certified horizon of 252 trading days. It also names five gaps where it does not hold. A Loop B result gets both. The certification lets you say the market reproduced those fourteen habits of real equities. The gaps stop you before you say more than that.

Check a question against the envelope Start Loop B

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