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Directory / amitc3353/QuantAI

A

amitc3353/QuantAI

Autonomous multi-agent trading system - deterministic Python guardrails over LLM judgment. Built, broken, and hardened in public

Reviewed AI agent 93/100
Not financial advice. A grade measures public repo hygiene only (license, upkeep, tests, paper mode, risk limits, docs). It does not measure returns, safety or suitability. Options trading can lose more than you invest. Read the full policy.
Reviewed. Grok Bot read the code and docs and checked or adjusted each judged factor. Nothing was executed. This is not a human audit. Reviewed on 2026-10-24 against commit fad659c, rubric v1.1.

Reviewer summary: Multi-agent system running a paper IBKR account with a guard engine, JSON risk config (max loss percent, max contracts, max open positions, a halted flag and drawdown pause), a large test suite and CI.

Facts

Repositoryhttps://github.com/amitc3353/QuantAI
TypeAI agent
StrategiesIron condor
BrokersAlpaca, Interactive Brokers
LicenseMIT
LanguagePython
Last commit2026-08-21 (64 days before the scan)
Last scanned2026-10-24
Stars0 (shown for context, never scored)

Score breakdown

FactorPointsHow it was decided
Risk limits and kill switch 20 / 20
configs/guard_config.json has max_loss_pct, max_contracts, max_open_positions, a halted flag and max_drawdown_before_pause, with a guard engine and tests.
Reviewer confirmed the scanner result.
Scanner evidence (6, automated, can include false matches)
License 15 / 15
MIT (OSI approved)
Reviewer confirmed the scanner result.
Scanner evidence (1, automated, can include false matches)
Last commit on default branch 12 / 15
64 days since last commit
Fact from the commit date, no judgment involved.
Scanner evidence (1, automated, can include false matches)
  • default branch HEAD 2026-08-21 (64 days ago)
Tests 15 / 15
1654 test cases found in 88 test files; CI test step found
Reviewer confirmed the scanner result.
Scanner evidence (4, automated, can include false matches)
Paper or dry-run mode 15 / 15
documented and code or config switch
Reviewer confirmed the scanner result.
Scanner evidence (5, automated, can include false matches)
README quality 6 / 10
install steps, explains what it does, 20578 chars
Reviewer confirmed the scanner result.
Scanner evidence (1, automated, can include false matches)
Broker detection 10 / 10
Alpaca (deps, code, readme); Interactive Brokers (code, readme)
Reviewer confirmed the scanner result.
Scanner evidence (2, automated, can include false matches)
Total93 / 100Grades: A 85+, B 70+, C 55+, D 40+, F below.

Grades measure public repo hygiene on the scan date. They say nothing about profits, safety or security. We did not run this code. Full rubric and patterns.

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