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Capital markets
Economic brain

BrainWhat it saw, what it chose, what blocked or allowed it. The reasoning trace and constraint gates are the explainable record behind every paper decision.

Solver
max sharpe
Candidate
hold
Gates open
7 of 12
Trace steps
6
Mode paper brainpreview blocked: score 0.000 vs threshold 1.000 (base 1.000 x demotion 1.00x)source waiting for live data: Live data is primary; dev seed remains an explicit, env-gated fixture.

Selected

FieldValue
Solvermax sharpe
Envelopemedium
LaneHold baseline
DescriptionHold current positions — do nothing

Constraint gates

GateResultDetail
Score thresholdblockedscore 0.000 vs threshold 1.000 (base 1.000 x demotion 1.00x)
Allocator budgetblockedallocated 0.00, per-trade cap 1000000.00
Fresh entry priceblockedfresh entry price unavailable
Capital capsblockedinvalid notional
Fee floorblockedEV 0.00000 vs floor 0.00400 (cost 20.0bps, safety 2x)
Lane armedpassstrategy lane hold is armed
One position per thesispassno open trade on this thesis
No opposing positionpassno open trade on the other side of this asset
Max open tradespass0/200 open paper trades
Cooldownpassno paper trade yet; no cooldown set
Paper modepasspaper mode enabled; no external order path will run
Slippage limitpassno slippage checks needed for this candidate kind

Reasoning trace

StepPhaseSignalExplanation
1Observe0 L2 assets, 0 trade-tape assets, 0 matching positionswaiting for live data
2Synthesize0 strategy signals from scan cacheSignals compress market, matching, and value surfaces into comparable evidence.
3Rank1 candidates via max_sharpe / mediumThe solver chooses a candidate before risk gates decide whether it can act.
4Constrain7/12 sandbox gates passingEach gate records why a paper trade may or may not open.
5Previewsandbox blockedscore 0.000 vs threshold 1.000 (base 1.000 x demotion 1.00x)
6Learn0 paper outcomes, 0 matching pathsHindsight and portfolio graph state are the memory that makes the brain adaptive.

Summary

KeyValueHint
Identityruntime-native economic brainCapitalStrategy observes runtime markets, positions, value state, risk constraints, and paper outcomes through one loop.
Sourcewaiting for live dataLive data is primary; dev seed remains an explicit, env-gated fixture.
Sandboxpaper-onlyNo funds moved; no real order or funds-movement path is enabled here.
Selected CandidateHold baselineHold current positions — do nothing
Risk State$10,000.00 free / $0.00 allocatedAllocator caps, open exposure, cooldowns, and score gates shape the sandbox preview.
Previewblockedscore 0.000 vs threshold 1.000 (base 1.000 x demotion 1.00x)
Learning Loop0 paper trades · 0 open · net $0.00Paper outcomes feed hindsight and solver selection without touching real capital.

Thesis

CapitalStrategy is the runtime-native economic brain: live sensing, constrained allocation, paper execution, and feedback memory in one cockpit.