OPTIMIZING STOCK TRADING STRATEGY WITH REINFORCEMENT LEARNING AI Agent
by Amey-ThakurMachine Learning Project to Optimize Stock Trading Strategies Using Reinforcement Learning.
OPTIMIZING STOCK TRADING STRATEGY WITH REINFORCEMENT LEARNING is an open-source ai agent by Amey-Thakur, written mainly in Python, with 58 GitHub stars and the MIT license. Its code was last updated Sep 5, 2026.
Scan summary: scanned Nov 5, 2026 at commit f1dc0cb. Seen able to run dynamic code. Scan policy
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f1dc0cb · Nov 5, 2026 ScannedStatic, secrets and dependency checks completed with no critical findings.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.Static code scanwarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Passed. This check ran and found nothing it flags.Secrets scanpassPassed. This check ran and found nothing it flags.
Flagged. This check found an issue. See the findings below.Dependency audit74 known vulnerabilitiesfailFlagged. This check found an issue. See the findings below.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.ManifestnonewarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Buildn/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Boot & handshaken/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Network egressn/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Reproducible (×3)n/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Findings (9)
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
Source Code/Stock-RL.py:211 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.protobuf@3.9.2: 4 known vulnerabilitiesPYSEC-2022-48, PYSEC-2026-1805, PYSEC-2026-1806, PYSEC-2026-899
Source Code/requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.requests@2.9.2: 5 known vulnerabilitiesPYSEC-2018-28, PYSEC-2023-74, PYSEC-2026-1872, PYSEC-2026-1873, PYSEC-2026-2275
Source Code/requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.setuptools@9.1.0: 4 known vulnerabilitiesPYSEC-2022-43012, PYSEC-2025-49, PYSEC-2026-1918, PYSEC-2026-3447
Source Code/requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.numpy@1.21.2: 1 known vulnerabilityGHSA-fpfv-jqm9-f5jm
Source Code/requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.streamlit@0.88.0: 5 known vulnerabilitiesPYSEC-2022-248, PYSEC-2024-153, PYSEC-2026-212, PYSEC-2026-2285, GHSA-8qw9-gf7w-42x5
Source Code/requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
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