LLM model
GPT-5.6 Terraselect
Saved per project. The selected model is used for Builder Chat, Strategy generation, live trading decisions, LLM backtest decisions and Optimization. Higher tiers increase the token cost of every LLM call.
Markets

Choose the markets on which the LLM may open and manage positions.

Instrument clusters

Every cluster is one decision unit, account and PnL curve. Names are generated automatically from selected instruments.

5 CLUSTERS
CLUSTER 1
EURUSD
SINGLE
FOREXLIVE TICKER
CRYPTOLIVE TICKER
COMMODITIES
INDICES
STOCKS
EURUSD1 / 4
CLUSTER 2
EURGBP
SINGLE
FOREXLIVE TICKER
CRYPTOLIVE TICKER
COMMODITIES
INDICES
STOCKS
EURGBP1 / 4
CLUSTER 3
AUDUSD
SINGLE
FOREXLIVE TICKER
CRYPTOLIVE TICKER
COMMODITIES
INDICES
STOCKS
AUDUSD1 / 4
CLUSTER 4
USDCAD
SINGLE
FOREXLIVE TICKER
CRYPTOLIVE TICKER
COMMODITIES
INDICES
STOCKS
USDCAD1 / 4
CLUSTER 5
USDJPY
SINGLE
FOREXLIVE TICKER
CRYPTOLIVE TICKER
COMMODITIES
INDICES
STOCKS
USDJPY1 / 4
Inputs and trading permissions

Enabled source families define both the Builder source snapshot and the fresh runtime evidence available to trading/backtest.

Runtime and LLM context

Automatic iterations are counted in newly closed project-timeframe candles. Force iteration is permanently available.

Market entry examples

Selected examples become Builder source references. They are not injected into live trading or backtest iterations as raw examples.

BUILDER SOURCE CONTEXT

Choose the market situations and preferred entry models that belong to this project. They will be frozen into the Builder source snapshot together with enabled Charts, Macro, Fundamentals and Insights.

0 selected
No saved entry examples

Open Example Charts, select a candle sequence and save the market situation first.

Manage examples