Quant Trading Api

What to consider before installing: - Expectation mismatch: the code appears to be a mock/simulator (fake tokens, simulated fills). Do not assume it will connect to real broker APIs without further implementation or verification. - Credentials handling: SKILL.md suggests putting account/password into config.py (plaintext). That is insecure. Prefer using environment variables or a secret manager and do not commit credentials to source control. - Undeclared secrets: the skill metadata declares no required env vars or primary credential even though the code needs brokerage credentials. Treat that as a red flag — confirm how credentials are supplied and stored before use. - Audit network behavior: the BROKERS map contains real broker domains. Before running with real credentials or real money, review the entire source (including truncated parts) for any calls to unknown/third-party endpoints or logging of credentials. Run the code in a sandbox or test account first. - Dependency caution: the skill tells you to pip install pycryptodome and websocket-client. Those are common, but installing third-party packages always carries supply-chain risk; pin versions and inspect dependencies if possible. - If you need production trading: get a connector from a vetted provider or implement a well-documented authenticated client using brokers' official SDKs/APIs. If the author intends this to be a placeholder, ask for documentation that explicitly states what is mock vs. real and how to securely configure credentials. Confidence note: medium — the visible portion of the code shows mock behavior and insecure credential guidance, but the file is truncated and may contain additional network calls or hidden endpoints. Reviewing the remainder of quant_trading.py and any other files (or asking the author for confirmation) would raise confidence.