AI agent starters · Rank #34
agentic-stock-research-system
Grade B: derived only from the two verdicts below. How grades work
A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning.
Why this verdict
How we check →- 3 commits in the last 90 days, none in the last 30. receipt ↗
- LangChain 0 declared; latest is 1 (1 major behind). receipt ↗
- pandas 2 declared; latest is 3 (1 major behind). receipt ↗
- On current major: Streamlit. receipt ↗
- Not counted in verdict: LangGraph 0 → 1. receipt ↗
Snapshot: commit 22f9d9e on main, checked 2026-10-19 07:33 UTC. Receipts link to files at this exact commit.
- No license detected: check terms before commercial use.
Dependency freshness
| Package | Declared | Latest | Status |
|---|---|---|---|
| LangChain langchain | 0.3.27 | 1.4.6 | 1 major behind |
| LangGraph langgraph | 0.6.3 | 1.2.16 | Behind, not counted |
| pandas pandas | 2.3.1 | 3.0.6 | 1 major behind |
| Streamlit streamlit | 1.48.0 | 1.66.0 | Current |
Declared = lowest version the kit's dependency file (package.json, pyproject.toml or requirements.txt) allows. Latest = the npm "latest" tag or the newest PyPI release. TypeScript, the Stripe SDK, FastAPI and other 0.x packages are shown but not counted in the verdict.
What's in the stack
- Framework
- Streamlit
- Testing
- pytest
Detected from declared dependencies. A listed package means it's installed, not necessarily fully wired up.
What the README says you get
- AIMulti-agent architecture
A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks
- AIStock Finder Agent
Identifies promising NSE stocks based on liquidity, market cap, and momentum
- AINews Analyst Agent
Analyzes recent news sentiment and market impact
- AIRecommendation Agent
Provides actionable BUY/SELL/HOLD recommendations with target prices
- AnalyticsReal-time NSE data
Real-time NSE stock data integration
- AnalyticsTechnical indicators
Technical indicators (RSI, Moving Averages, MACD)
- AnalyticsVolume and volatility analysis
Volume and volatility analysis
- AnalyticsNews sentiment classification
News sentiment classification
- AnalyticsRisk-reward assessment
Risk-reward assessment
- UIStreamlit interface
Clean, responsive Streamlit interface
- UIInteractive charts
Interactive charts and visualizations
- UICSV export
CSV export functionality
- UIMobile-friendly design
Mobile-friendly design
Extracted from the kit's README by a local AI model (deepseek-flash) on Sep 29, 2026. Every item is checked against an exact README quote; 1 unverifiable item was discarded. A README claim is the maker's description, not something we tested.
Watch agentic-stock-research-system
Get told if it goes dormant, gets archived, falls further behind on a core dependency, or changes its license or price.
History
Sep 29, 2026 → Oct 19, 2026. One square per check, colored by maintenance status. Hover for details.
Show as a table
| Date | Maintenance | Dependencies | Commits (90d) |
|---|---|---|---|
| Oct 19, 2026 | Steady | 1 major behind | 3 |
| Oct 12, 2026 | Active | 1 major behind | 3 |
| Sep 29, 2026 | Active | 1 major behind | 3 |
Sources
Every claim on this page comes from these public records, checked . Open them to verify.
- Commit history ↗ default branch (main) at the checked commit: pulse, contributors, last commit
- Releases ↗ latest release
- pyproject.toml ↗ declared dependency versions and stack (at commit 22f9d9e)
- requirements.txt ↗ declared dependency versions and stack (at commit 22f9d9e)
- README ↗ quoted features at the checked commit
- PyPI ↗ latest versions of Python packages (each linked in the table above)
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