Tradingagents Improved
completed
Cli Tool
cli / python · small
316
Files
52,735
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#186348Phase
doneProgress
0%Started
2026-04-10 18:57:27Finished
2026-04-10 18:57:27LLM tokens
0Partial failures: SYMBOL_EXTRACTION: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'; AI_REASONING: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'
Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
39.87Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47298
Member of a group with 2,078 similar repo(s) — canonical #187349 view group →
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AI Prompt
Create a command-line interface (CLI) tool in Python for a multi-agent LLM financial trading framework. I need it to support backtesting functionality, so please structure the code to handle backtesting using pytest. The system should manage agent memory, potentially using a JSON file for storage, and the architecture should be documented, perhaps using Markdown files. The core functionality revolves around simulating trading agents.
python cli llm finance backtesting pytest agent
Generated by gemma4:latest
Catalog Information
Create a command-line interface (CLI) tool in Python for a multi-agent LLM financial trading framework. I need it to support backtesting functionality, so please structure the code to handle backtesting using pytest. The system should manage agent memory, potentially using a JSON file for storage, and the architecture should be documented, perhaps using Markdown files. The core functionality revolves around simulating trading agents.
Tags
python cli llm finance backtesting pytest agent
Security & Health
316
Vulnerabilities
29
Critical CVEs
225.8h
Tech Debt (E)
High
DORA Rating
B
OWASP (80%)
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FAIL
Quality Gate
32.4%
Duplication
Languages
Frameworks
pytest
Symbols
variable908
function716
constant567
method484
class130
property5
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BinComp Dependency Hardening
All packages →11 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
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